/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.hive.ql.parse;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import java.util.TreeSet;
import java.util.regex.Pattern;
import java.util.regex.PatternSyntaxException;
import org.antlr.runtime.tree.BaseTree;
import org.antlr.runtime.tree.Tree;
import org.antlr.runtime.tree.TreeWizard;
import org.antlr.runtime.tree.TreeWizard.ContextVisitor;
import org.apache.commons.lang.StringUtils;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.common.FileUtils;
import org.apache.hadoop.hive.common.JavaUtils;
import org.apache.hadoop.hive.common.ObjectPair;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.conf.HiveConf.ConfVars;
import org.apache.hadoop.hive.metastore.TableType;
import org.apache.hadoop.hive.metastore.Warehouse;
import org.apache.hadoop.hive.metastore.api.FieldSchema;
import org.apache.hadoop.hive.metastore.api.MetaException;
import org.apache.hadoop.hive.metastore.api.Order;
import org.apache.hadoop.hive.ql.ErrorMsg;
import org.apache.hadoop.hive.ql.QueryProperties;
import org.apache.hadoop.hive.ql.exec.AbstractMapJoinOperator;
import org.apache.hadoop.hive.ql.exec.ArchiveUtils;
import org.apache.hadoop.hive.ql.exec.ColumnInfo;
import org.apache.hadoop.hive.ql.exec.FileSinkOperator;
import org.apache.hadoop.hive.ql.exec.FunctionInfo;
import org.apache.hadoop.hive.ql.exec.FunctionRegistry;
import org.apache.hadoop.hive.ql.exec.GroupByOperator;
import org.apache.hadoop.hive.ql.exec.JoinOperator;
import org.apache.hadoop.hive.ql.exec.Operator;
import org.apache.hadoop.hive.ql.exec.OperatorFactory;
import org.apache.hadoop.hive.ql.exec.RecordReader;
import org.apache.hadoop.hive.ql.exec.RecordWriter;
import org.apache.hadoop.hive.ql.exec.ReduceSinkOperator;
import org.apache.hadoop.hive.ql.exec.RowSchema;
import org.apache.hadoop.hive.ql.exec.SMBMapJoinOperator;
import org.apache.hadoop.hive.ql.exec.TableScanOperator;
import org.apache.hadoop.hive.ql.exec.Task;
import org.apache.hadoop.hive.ql.exec.TaskFactory;
import org.apache.hadoop.hive.ql.exec.UnionOperator;
import org.apache.hadoop.hive.ql.exec.Utilities;
import org.apache.hadoop.hive.ql.hooks.ReadEntity;
import org.apache.hadoop.hive.ql.hooks.WriteEntity;
import org.apache.hadoop.hive.ql.io.CombineHiveInputFormat;
import org.apache.hadoop.hive.ql.io.HiveOutputFormat;
import org.apache.hadoop.hive.ql.io.RCFileInputFormat;
import org.apache.hadoop.hive.ql.lib.DefaultGraphWalker;
import org.apache.hadoop.hive.ql.lib.Dispatcher;
import org.apache.hadoop.hive.ql.lib.GraphWalker;
import org.apache.hadoop.hive.ql.lib.Node;
import org.apache.hadoop.hive.ql.metadata.DummyPartition;
import org.apache.hadoop.hive.ql.metadata.Hive;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.metadata.HiveUtils;
import org.apache.hadoop.hive.ql.metadata.InvalidTableException;
import org.apache.hadoop.hive.ql.metadata.Partition;
import org.apache.hadoop.hive.ql.metadata.Table;
import org.apache.hadoop.hive.ql.metadata.VirtualColumn;
import org.apache.hadoop.hive.ql.optimizer.Optimizer;
import org.apache.hadoop.hive.ql.optimizer.unionproc.UnionProcContext;
import org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.tableSpec.SpecType;
import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.OrderExpression;
import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.OrderSpec;
import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.PTFInputSpec;
import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.PTFQueryInputSpec;
import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.PTFQueryInputType;
import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.PartitionExpression;
import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.PartitionSpec;
import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.PartitionedTableFunctionSpec;
import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.PartitioningSpec;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.BoundarySpec;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.CurrentRowSpec;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.Direction;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.RangeBoundarySpec;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.ValueBoundarySpec;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.WindowExpressionSpec;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.WindowFrameSpec;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.WindowFunctionSpec;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.WindowSpec;
import org.apache.hadoop.hive.ql.plan.AggregationDesc;
import org.apache.hadoop.hive.ql.plan.CreateTableDesc;
import org.apache.hadoop.hive.ql.plan.CreateTableLikeDesc;
import org.apache.hadoop.hive.ql.plan.CreateViewDesc;
import org.apache.hadoop.hive.ql.plan.DDLWork;
import org.apache.hadoop.hive.ql.plan.DynamicPartitionCtx;
import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeColumnListDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDescUtils;
import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeNullDesc;
import org.apache.hadoop.hive.ql.plan.ExtractDesc;
import org.apache.hadoop.hive.ql.plan.FileSinkDesc;
import org.apache.hadoop.hive.ql.plan.FilterDesc;
import org.apache.hadoop.hive.ql.plan.FilterDesc.sampleDesc;
import org.apache.hadoop.hive.ql.plan.ForwardDesc;
import org.apache.hadoop.hive.ql.plan.GroupByDesc;
import org.apache.hadoop.hive.ql.plan.HiveOperation;
import org.apache.hadoop.hive.ql.plan.JoinCondDesc;
import org.apache.hadoop.hive.ql.plan.JoinDesc;
import org.apache.hadoop.hive.ql.plan.LateralViewForwardDesc;
import org.apache.hadoop.hive.ql.plan.LateralViewJoinDesc;
import org.apache.hadoop.hive.ql.plan.LimitDesc;
import org.apache.hadoop.hive.ql.plan.ListBucketingCtx;
import org.apache.hadoop.hive.ql.plan.LoadFileDesc;
import org.apache.hadoop.hive.ql.plan.LoadTableDesc;
import org.apache.hadoop.hive.ql.plan.MapJoinDesc;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
import org.apache.hadoop.hive.ql.plan.PTFDesc;
import org.apache.hadoop.hive.ql.plan.PTFDesc.OrderExpressionDef;
import org.apache.hadoop.hive.ql.plan.PTFDesc.PTFExpressionDef;
import org.apache.hadoop.hive.ql.plan.PTFDesc.PartitionedTableFunctionDef;
import org.apache.hadoop.hive.ql.plan.PlanUtils;
import org.apache.hadoop.hive.ql.plan.ReduceSinkDesc;
import org.apache.hadoop.hive.ql.plan.ScriptDesc;
import org.apache.hadoop.hive.ql.plan.SelectDesc;
import org.apache.hadoop.hive.ql.plan.TableDesc;
import org.apache.hadoop.hive.ql.plan.TableScanDesc;
import org.apache.hadoop.hive.ql.plan.UDTFDesc;
import org.apache.hadoop.hive.ql.plan.UnionDesc;
import org.apache.hadoop.hive.ql.session.SessionState;
import org.apache.hadoop.hive.ql.session.SessionState.ResourceType;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.Mode;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFHash;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPOr;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDTF;
import org.apache.hadoop.hive.serde.serdeConstants;
import org.apache.hadoop.hive.serde2.Deserializer;
import org.apache.hadoop.hive.serde2.MetadataTypedColumnsetSerDe;
import org.apache.hadoop.hive.serde2.SerDeException;
import org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe;
import org.apache.hadoop.hive.serde2.objectinspector.ConstantObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category;
import org.apache.hadoop.hive.serde2.objectinspector.StructField;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
import org.apache.hadoop.mapred.InputFormat;
/**
* Implementation of the semantic analyzer.
*/
public class SemanticAnalyzer extends BaseSemanticAnalyzer {
private HashMap<TableScanOperator, ExprNodeDesc> opToPartPruner;
private HashMap<TableScanOperator, PrunedPartitionList> opToPartList;
private HashMap<String, Operator<? extends OperatorDesc>> topOps;
private HashMap<String, Operator<? extends OperatorDesc>> topSelOps;
private LinkedHashMap<Operator<? extends OperatorDesc>, OpParseContext> opParseCtx;
private List<LoadTableDesc> loadTableWork;
private List<LoadFileDesc> loadFileWork;
private Map<JoinOperator, QBJoinTree> joinContext;
private Map<SMBMapJoinOperator, QBJoinTree> smbMapJoinContext;
private final HashMap<TableScanOperator, Table> topToTable;
private final Map<FileSinkOperator, Table> fsopToTable;
private final List<ReduceSinkOperator> reduceSinkOperatorsAddedByEnforceBucketingSorting;
private final HashMap<TableScanOperator, Map<String, String>> topToTableProps;
private QB qb;
private ASTNode ast;
private int destTableId;
private UnionProcContext uCtx;
List<AbstractMapJoinOperator<? extends MapJoinDesc>> listMapJoinOpsNoReducer;
private HashMap<TableScanOperator, sampleDesc> opToSamplePruner;
private final Map<TableScanOperator, Map<String, ExprNodeDesc>> opToPartToSkewedPruner;
/**
* a map for the split sampling, from ailias to an instance of SplitSample
* that describes percentage and number.
*/
private final HashMap<String, SplitSample> nameToSplitSample;
Map<GroupByOperator, Set<String>> groupOpToInputTables;
Map<String, PrunedPartitionList> prunedPartitions;
private List<FieldSchema> resultSchema;
private CreateViewDesc createVwDesc;
private ArrayList<String> viewsExpanded;
private ASTNode viewSelect;
private final UnparseTranslator unparseTranslator;
private final GlobalLimitCtx globalLimitCtx = new GlobalLimitCtx();
// prefix for column names auto generated by hive
private final String autogenColAliasPrfxLbl;
private final boolean autogenColAliasPrfxIncludeFuncName;
// Keep track of view alias to read entity corresponding to the view
// For eg: for a query like 'select * from V3', where V3 -> V2, V2 -> V1, V1 -> T
// keeps track of aliases for V3, V3:V2, V3:V2:V1.
// This is used when T is added as an input for the query, the parents of T is
// derived from the alias V3:V2:V1:T
private final Map<String, ReadEntity> viewAliasToInput = new HashMap<String, ReadEntity>();
// Max characters when auto generating the column name with func name
private static final int AUTOGEN_COLALIAS_PRFX_MAXLENGTH = 20;
// flag for no scan during analyze ... compute statistics
protected boolean noscan = false;
//flag for partial scan during analyze ... compute statistics
protected boolean partialscan = false;
private static class Phase1Ctx {
String dest;
int nextNum;
}
public SemanticAnalyzer(HiveConf conf) throws SemanticException {
super(conf);
opToPartPruner = new HashMap<TableScanOperator, ExprNodeDesc>();
opToPartList = new HashMap<TableScanOperator, PrunedPartitionList>();
opToSamplePruner = new HashMap<TableScanOperator, sampleDesc>();
nameToSplitSample = new HashMap<String, SplitSample>();
topOps = new HashMap<String, Operator<? extends OperatorDesc>>();
topSelOps = new HashMap<String, Operator<? extends OperatorDesc>>();
loadTableWork = new ArrayList<LoadTableDesc>();
loadFileWork = new ArrayList<LoadFileDesc>();
opParseCtx = new LinkedHashMap<Operator<? extends OperatorDesc>, OpParseContext>();
joinContext = new HashMap<JoinOperator, QBJoinTree>();
smbMapJoinContext = new HashMap<SMBMapJoinOperator, QBJoinTree>();
topToTable = new HashMap<TableScanOperator, Table>();
fsopToTable = new HashMap<FileSinkOperator, Table>();
reduceSinkOperatorsAddedByEnforceBucketingSorting = new ArrayList<ReduceSinkOperator>();
topToTableProps = new HashMap<TableScanOperator, Map<String, String>>();
destTableId = 1;
uCtx = null;
listMapJoinOpsNoReducer = new ArrayList<AbstractMapJoinOperator<? extends MapJoinDesc>>();
groupOpToInputTables = new HashMap<GroupByOperator, Set<String>>();
prunedPartitions = new HashMap<String, PrunedPartitionList>();
unparseTranslator = new UnparseTranslator();
autogenColAliasPrfxLbl = HiveConf.getVar(conf,
HiveConf.ConfVars.HIVE_AUTOGEN_COLUMNALIAS_PREFIX_LABEL);
autogenColAliasPrfxIncludeFuncName = HiveConf.getBoolVar(conf,
HiveConf.ConfVars.HIVE_AUTOGEN_COLUMNALIAS_PREFIX_INCLUDEFUNCNAME);
queryProperties = new QueryProperties();
opToPartToSkewedPruner = new HashMap<TableScanOperator, Map<String, ExprNodeDesc>>();
}
@Override
protected void reset() {
super.reset();
loadTableWork.clear();
loadFileWork.clear();
topOps.clear();
topSelOps.clear();
destTableId = 1;
idToTableNameMap.clear();
qb = null;
ast = null;
uCtx = null;
joinContext.clear();
smbMapJoinContext.clear();
opParseCtx.clear();
groupOpToInputTables.clear();
prunedPartitions.clear();
}
public void initParseCtx(ParseContext pctx) {
opToPartPruner = pctx.getOpToPartPruner();
opToPartList = pctx.getOpToPartList();
opToSamplePruner = pctx.getOpToSamplePruner();
topOps = pctx.getTopOps();
topSelOps = pctx.getTopSelOps();
opParseCtx = pctx.getOpParseCtx();
loadTableWork = pctx.getLoadTableWork();
loadFileWork = pctx.getLoadFileWork();
joinContext = pctx.getJoinContext();
smbMapJoinContext = pctx.getSmbMapJoinContext();
ctx = pctx.getContext();
destTableId = pctx.getDestTableId();
idToTableNameMap = pctx.getIdToTableNameMap();
uCtx = pctx.getUCtx();
listMapJoinOpsNoReducer = pctx.getListMapJoinOpsNoReducer();
qb = pctx.getQB();
groupOpToInputTables = pctx.getGroupOpToInputTables();
prunedPartitions = pctx.getPrunedPartitions();
fetchTask = pctx.getFetchTask();
setLineageInfo(pctx.getLineageInfo());
}
public ParseContext getParseContext() {
return new ParseContext(conf, qb, ast, opToPartPruner, opToPartList, topOps,
topSelOps, opParseCtx, joinContext, smbMapJoinContext, topToTable, topToTableProps,
fsopToTable, loadTableWork,
loadFileWork, ctx, idToTableNameMap, destTableId, uCtx,
listMapJoinOpsNoReducer, groupOpToInputTables, prunedPartitions,
opToSamplePruner, globalLimitCtx, nameToSplitSample, inputs, rootTasks,
opToPartToSkewedPruner, viewAliasToInput,
reduceSinkOperatorsAddedByEnforceBucketingSorting,
queryProperties);
}
@SuppressWarnings("nls")
public void doPhase1QBExpr(ASTNode ast, QBExpr qbexpr, String id, String alias)
throws SemanticException {
assert (ast.getToken() != null);
switch (ast.getToken().getType()) {
case HiveParser.TOK_QUERY: {
QB qb = new QB(id, alias, true);
Phase1Ctx ctx_1 = initPhase1Ctx();
doPhase1(ast, qb, ctx_1);
qbexpr.setOpcode(QBExpr.Opcode.NULLOP);
qbexpr.setQB(qb);
}
break;
case HiveParser.TOK_UNION: {
qbexpr.setOpcode(QBExpr.Opcode.UNION);
// query 1
assert (ast.getChild(0) != null);
QBExpr qbexpr1 = new QBExpr(alias + "-subquery1");
doPhase1QBExpr((ASTNode) ast.getChild(0), qbexpr1, id + "-subquery1",
alias + "-subquery1");
qbexpr.setQBExpr1(qbexpr1);
// query 2
assert (ast.getChild(0) != null);
QBExpr qbexpr2 = new QBExpr(alias + "-subquery2");
doPhase1QBExpr((ASTNode) ast.getChild(1), qbexpr2, id + "-subquery2",
alias + "-subquery2");
qbexpr.setQBExpr2(qbexpr2);
}
break;
}
}
private LinkedHashMap<String, ASTNode> doPhase1GetAggregationsFromSelect(
ASTNode selExpr, QB qb, String dest) throws SemanticException {
// Iterate over the selects search for aggregation Trees.
// Use String as keys to eliminate duplicate trees.
LinkedHashMap<String, ASTNode> aggregationTrees = new LinkedHashMap<String, ASTNode>();
List<ASTNode> wdwFns = new ArrayList<ASTNode>();
for (int i = 0; i < selExpr.getChildCount(); ++i) {
ASTNode function = (ASTNode) selExpr.getChild(i).getChild(0);
doPhase1GetAllAggregations((ASTNode) function, aggregationTrees, wdwFns);
}
// window based aggregations are handled differently
for (ASTNode wdwFn : wdwFns) {
WindowingSpec spec = qb.getWindowingSpec(dest);
if(spec == null) {
queryProperties.setHasWindowing(true);
spec = new WindowingSpec();
qb.addDestToWindowingSpec(dest, spec);
}
HashMap<String, ASTNode> wExprsInDest = qb.getParseInfo().getWindowingExprsForClause(dest);
int wColIdx = spec.getWindowExpressions() == null ? 0 : spec.getWindowExpressions().size();
WindowFunctionSpec wFnSpec = processWindowFunction(wdwFn,
(ASTNode)wdwFn.getChild(wdwFn.getChildCount()-1));
// If this is a duplicate invocation of a function; don't add to WindowingSpec.
if ( wExprsInDest != null &&
wExprsInDest.containsKey(wFnSpec.getExpression().toStringTree())) {
continue;
}
wFnSpec.setAlias("_wcol" + wColIdx++);
spec.addWindowFunction(wFnSpec);
qb.getParseInfo().addWindowingExprToClause(dest, wFnSpec.getExpression());
}
return aggregationTrees;
}
private void doPhase1GetColumnAliasesFromSelect(
ASTNode selectExpr, QBParseInfo qbp) {
for (int i = 0; i < selectExpr.getChildCount(); ++i) {
ASTNode selExpr = (ASTNode) selectExpr.getChild(i);
if ((selExpr.getToken().getType() == HiveParser.TOK_SELEXPR)
&& (selExpr.getChildCount() == 2)) {
String columnAlias = unescapeIdentifier(selExpr.getChild(1).getText());
qbp.setExprToColumnAlias((ASTNode) selExpr.getChild(0), columnAlias);
}
}
}
/**
* DFS-scan the expressionTree to find all aggregation subtrees and put them
* in aggregations.
*
* @param expressionTree
* @param aggregations
* the key to the HashTable is the toStringTree() representation of
* the aggregation subtree.
* @throws SemanticException
*/
private void doPhase1GetAllAggregations(ASTNode expressionTree,
HashMap<String, ASTNode> aggregations, List<ASTNode> wdwFns) throws SemanticException {
int exprTokenType = expressionTree.getToken().getType();
if (exprTokenType == HiveParser.TOK_FUNCTION
|| exprTokenType == HiveParser.TOK_FUNCTIONDI
|| exprTokenType == HiveParser.TOK_FUNCTIONSTAR) {
assert (expressionTree.getChildCount() != 0);
if (expressionTree.getChild(expressionTree.getChildCount()-1).getType()
== HiveParser.TOK_WINDOWSPEC) {
wdwFns.add(expressionTree);
return;
}
if (expressionTree.getChild(0).getType() == HiveParser.Identifier) {
String functionName = unescapeIdentifier(expressionTree.getChild(0)
.getText());
if(FunctionRegistry.impliesOrder(functionName)) {
throw new SemanticException(ErrorMsg.MISSING_OVER_CLAUSE.getMsg(functionName));
}
if (FunctionRegistry.getGenericUDAFResolver(functionName) != null) {
if(containsLeadLagUDF(expressionTree)) {
throw new SemanticException(ErrorMsg.MISSING_OVER_CLAUSE.getMsg(functionName));
}
aggregations.put(expressionTree.toStringTree(), expressionTree);
FunctionInfo fi = FunctionRegistry.getFunctionInfo(functionName);
if (!fi.isNative()) {
unparseTranslator.addIdentifierTranslation((ASTNode) expressionTree
.getChild(0));
}
return;
}
}
}
for (int i = 0; i < expressionTree.getChildCount(); i++) {
doPhase1GetAllAggregations((ASTNode) expressionTree.getChild(i),
aggregations, wdwFns);
}
}
private List<ASTNode> doPhase1GetDistinctFuncExprs(
HashMap<String, ASTNode> aggregationTrees) throws SemanticException {
List<ASTNode> exprs = new ArrayList<ASTNode>();
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
ASTNode value = entry.getValue();
assert (value != null);
if (value.getToken().getType() == HiveParser.TOK_FUNCTIONDI) {
exprs.add(value);
}
}
return exprs;
}
public static String generateErrorMessage(ASTNode ast, String message) {
StringBuilder sb = new StringBuilder();
sb.append(ast.getLine());
sb.append(":");
sb.append(ast.getCharPositionInLine());
sb.append(" ");
sb.append(message);
sb.append(". Error encountered near token '");
sb.append(ErrorMsg.getText(ast));
sb.append("'");
return sb.toString();
}
/**
* Goes though the tabref tree and finds the alias for the table. Once found,
* it records the table name-> alias association in aliasToTabs. It also makes
* an association from the alias to the table AST in parse info.
*
* @return the alias of the table
*/
private String processTable(QB qb, ASTNode tabref) throws SemanticException {
// For each table reference get the table name
// and the alias (if alias is not present, the table name
// is used as an alias)
int aliasIndex = 0;
int propsIndex = -1;
int tsampleIndex = -1;
int ssampleIndex = -1;
for (int index = 1; index < tabref.getChildCount(); index++) {
ASTNode ct = (ASTNode) tabref.getChild(index);
if (ct.getToken().getType() == HiveParser.TOK_TABLEBUCKETSAMPLE) {
tsampleIndex = index;
} else if (ct.getToken().getType() == HiveParser.TOK_TABLESPLITSAMPLE) {
ssampleIndex = index;
} else if (ct.getToken().getType() == HiveParser.TOK_TABLEPROPERTIES) {
propsIndex = index;
} else {
aliasIndex = index;
}
}
ASTNode tableTree = (ASTNode) (tabref.getChild(0));
String tabIdName = getUnescapedName(tableTree);
String alias;
if (aliasIndex != 0) {
alias = unescapeIdentifier(tabref.getChild(aliasIndex).getText());
}
else {
alias = getUnescapedUnqualifiedTableName(tableTree);
}
if (propsIndex >= 0) {
Tree propsAST = tabref.getChild(propsIndex);
Map<String, String> props = DDLSemanticAnalyzer.getProps((ASTNode) propsAST.getChild(0));
qb.setTabProps(alias, props);
}
// If the alias is already there then we have a conflict
if (qb.exists(alias)) {
throw new SemanticException(ErrorMsg.AMBIGUOUS_TABLE_ALIAS.getMsg(tabref
.getChild(aliasIndex)));
}
if (tsampleIndex >= 0) {
ASTNode sampleClause = (ASTNode) tabref.getChild(tsampleIndex);
ArrayList<ASTNode> sampleCols = new ArrayList<ASTNode>();
if (sampleClause.getChildCount() > 2) {
for (int i = 2; i < sampleClause.getChildCount(); i++) {
sampleCols.add((ASTNode) sampleClause.getChild(i));
}
}
// TODO: For now only support sampling on up to two columns
// Need to change it to list of columns
if (sampleCols.size() > 2) {
throw new SemanticException(generateErrorMessage(
(ASTNode) tabref.getChild(0),
ErrorMsg.SAMPLE_RESTRICTION.getMsg()));
}
qb.getParseInfo().setTabSample(
alias,
new TableSample(
unescapeIdentifier(sampleClause.getChild(0).getText()),
unescapeIdentifier(sampleClause.getChild(1).getText()),
sampleCols));
if (unparseTranslator.isEnabled()) {
for (ASTNode sampleCol : sampleCols) {
unparseTranslator.addIdentifierTranslation((ASTNode) sampleCol
.getChild(0));
}
}
} else if (ssampleIndex >= 0) {
ASTNode sampleClause = (ASTNode) tabref.getChild(ssampleIndex);
Tree type = sampleClause.getChild(0);
Tree numerator = sampleClause.getChild(1);
String value = unescapeIdentifier(numerator.getText());
SplitSample sample;
if (type.getType() == HiveParser.TOK_PERCENT) {
assertCombineInputFormat(numerator, "Percentage");
Double percent = Double.valueOf(value).doubleValue();
if (percent < 0 || percent > 100) {
throw new SemanticException(generateErrorMessage((ASTNode) numerator,
"Sampling percentage should be between 0 and 100"));
}
int seedNum = conf.getIntVar(ConfVars.HIVESAMPLERANDOMNUM);
sample = new SplitSample(percent, seedNum);
} else if (type.getType() == HiveParser.TOK_ROWCOUNT) {
sample = new SplitSample(Integer.valueOf(value));
} else {
assert type.getType() == HiveParser.TOK_LENGTH;
assertCombineInputFormat(numerator, "Total Length");
long length = Integer.valueOf(value.substring(0, value.length() - 1));
char last = value.charAt(value.length() - 1);
if (last == 'k' || last == 'K') {
length <<= 10;
} else if (last == 'm' || last == 'M') {
length <<= 20;
} else if (last == 'g' || last == 'G') {
length <<= 30;
}
int seedNum = conf.getIntVar(ConfVars.HIVESAMPLERANDOMNUM);
sample = new SplitSample(length, seedNum);
}
String alias_id = getAliasId(alias, qb);
nameToSplitSample.put(alias_id, sample);
}
// Insert this map into the stats
qb.setTabAlias(alias, tabIdName);
qb.addAlias(alias);
qb.getParseInfo().setSrcForAlias(alias, tableTree);
unparseTranslator.addTableNameTranslation(tableTree, SessionState.get().getCurrentDatabase());
if (aliasIndex != 0) {
unparseTranslator.addIdentifierTranslation((ASTNode) tabref
.getChild(aliasIndex));
}
return alias;
}
private void assertCombineInputFormat(Tree numerator, String message) throws SemanticException {
String inputFormat = HiveConf.getVar(conf, HiveConf.ConfVars.HIVEINPUTFORMAT);
if (!inputFormat.equals(CombineHiveInputFormat.class.getName())) {
throw new SemanticException(generateErrorMessage((ASTNode) numerator,
message + " sampling is not supported in " + inputFormat));
}
}
private String processSubQuery(QB qb, ASTNode subq) throws SemanticException {
// This is a subquery and must have an alias
if (subq.getChildCount() != 2) {
throw new SemanticException(ErrorMsg.NO_SUBQUERY_ALIAS.getMsg(subq));
}
ASTNode subqref = (ASTNode) subq.getChild(0);
String alias = unescapeIdentifier(subq.getChild(1).getText());
// Recursively do the first phase of semantic analysis for the subquery
QBExpr qbexpr = new QBExpr(alias);
doPhase1QBExpr(subqref, qbexpr, qb.getId(), alias);
// If the alias is already there then we have a conflict
if (qb.exists(alias)) {
throw new SemanticException(ErrorMsg.AMBIGUOUS_TABLE_ALIAS.getMsg(subq
.getChild(1)));
}
// Insert this map into the stats
qb.setSubqAlias(alias, qbexpr);
qb.addAlias(alias);
unparseTranslator.addIdentifierTranslation((ASTNode) subq.getChild(1));
return alias;
}
private boolean isJoinToken(ASTNode node) {
if ((node.getToken().getType() == HiveParser.TOK_JOIN)
|| (node.getToken().getType() == HiveParser.TOK_CROSSJOIN)
|| (node.getToken().getType() == HiveParser.TOK_LEFTOUTERJOIN)
|| (node.getToken().getType() == HiveParser.TOK_RIGHTOUTERJOIN)
|| (node.getToken().getType() == HiveParser.TOK_FULLOUTERJOIN)
|| (node.getToken().getType() == HiveParser.TOK_LEFTSEMIJOIN)
|| (node.getToken().getType() == HiveParser.TOK_UNIQUEJOIN)) {
return true;
}
return false;
}
/**
* Given the AST with TOK_JOIN as the root, get all the aliases for the tables
* or subqueries in the join.
*
* @param qb
* @param join
* @throws SemanticException
*/
@SuppressWarnings("nls")
private void processJoin(QB qb, ASTNode join) throws SemanticException {
int numChildren = join.getChildCount();
if ((numChildren != 2) && (numChildren != 3)
&& join.getToken().getType() != HiveParser.TOK_UNIQUEJOIN) {
throw new SemanticException(generateErrorMessage(join,
"Join with multiple children"));
}
for (int num = 0; num < numChildren; num++) {
ASTNode child = (ASTNode) join.getChild(num);
if (child.getToken().getType() == HiveParser.TOK_TABREF) {
processTable(qb, child);
} else if (child.getToken().getType() == HiveParser.TOK_SUBQUERY) {
processSubQuery(qb, child);
} else if (child.getToken().getType() == HiveParser.TOK_PTBLFUNCTION) {
queryProperties.setHasPTF(true);
processPTF(qb, child);
PTFInvocationSpec ptfInvocationSpec = qb.getPTFInvocationSpec(child);
String inputAlias = ptfInvocationSpec == null ? null :
((PartitionedTableFunctionSpec)ptfInvocationSpec.getFunction()).getAlias();;
if ( inputAlias == null ) {
throw new SemanticException(generateErrorMessage(child,
"PTF invocation in a Join must have an alias"));
}
} else if (child.getToken().getType() == HiveParser.TOK_LATERAL_VIEW ||
child.getToken().getType() == HiveParser.TOK_LATERAL_VIEW_OUTER) {
// SELECT * FROM src1 LATERAL VIEW udtf() AS myTable JOIN src2 ...
// is not supported. Instead, the lateral view must be in a subquery
// SELECT * FROM (SELECT * FROM src1 LATERAL VIEW udtf() AS myTable) a
// JOIN src2 ...
throw new SemanticException(ErrorMsg.LATERAL_VIEW_WITH_JOIN
.getMsg(join));
} else if (isJoinToken(child)) {
processJoin(qb, child);
}
}
}
/**
* Given the AST with TOK_LATERAL_VIEW as the root, get the alias for the
* table or subquery in the lateral view and also make a mapping from the
* alias to all the lateral view AST's.
*
* @param qb
* @param lateralView
* @return the alias for the table/subquery
* @throws SemanticException
*/
private String processLateralView(QB qb, ASTNode lateralView)
throws SemanticException {
int numChildren = lateralView.getChildCount();
assert (numChildren == 2);
ASTNode next = (ASTNode) lateralView.getChild(1);
String alias = null;
switch (next.getToken().getType()) {
case HiveParser.TOK_TABREF:
alias = processTable(qb, next);
break;
case HiveParser.TOK_SUBQUERY:
alias = processSubQuery(qb, next);
break;
case HiveParser.TOK_LATERAL_VIEW:
case HiveParser.TOK_LATERAL_VIEW_OUTER:
alias = processLateralView(qb, next);
break;
default:
throw new SemanticException(ErrorMsg.LATERAL_VIEW_INVALID_CHILD
.getMsg(lateralView));
}
alias = alias.toLowerCase();
qb.getParseInfo().addLateralViewForAlias(alias, lateralView);
qb.addAlias(alias);
return alias;
}
/**
* Phase 1: (including, but not limited to):
*
* 1. Gets all the aliases for all the tables / subqueries and makes the
* appropriate mapping in aliasToTabs, aliasToSubq 2. Gets the location of the
* destination and names the clase "inclause" + i 3. Creates a map from a
* string representation of an aggregation tree to the actual aggregation AST
* 4. Creates a mapping from the clause name to the select expression AST in
* destToSelExpr 5. Creates a mapping from a table alias to the lateral view
* AST's in aliasToLateralViews
*
* @param ast
* @param qb
* @param ctx_1
* @throws SemanticException
*/
@SuppressWarnings({"fallthrough", "nls"})
public boolean doPhase1(ASTNode ast, QB qb, Phase1Ctx ctx_1)
throws SemanticException {
boolean phase1Result = true;
QBParseInfo qbp = qb.getParseInfo();
boolean skipRecursion = false;
if (ast.getToken() != null) {
skipRecursion = true;
switch (ast.getToken().getType()) {
case HiveParser.TOK_SELECTDI:
qb.countSelDi();
// fall through
case HiveParser.TOK_SELECT:
qb.countSel();
qbp.setSelExprForClause(ctx_1.dest, ast);
if (((ASTNode) ast.getChild(0)).getToken().getType() == HiveParser.TOK_HINTLIST) {
qbp.setHints((ASTNode) ast.getChild(0));
}
LinkedHashMap<String, ASTNode> aggregations = doPhase1GetAggregationsFromSelect(ast,
qb, ctx_1.dest);
doPhase1GetColumnAliasesFromSelect(ast, qbp);
qbp.setAggregationExprsForClause(ctx_1.dest, aggregations);
qbp.setDistinctFuncExprsForClause(ctx_1.dest,
doPhase1GetDistinctFuncExprs(aggregations));
break;
case HiveParser.TOK_WHERE:
qbp.setWhrExprForClause(ctx_1.dest, ast);
break;
case HiveParser.TOK_INSERT_INTO:
String currentDatabase = SessionState.get().getCurrentDatabase();
String tab_name = getUnescapedName((ASTNode) ast.getChild(0).getChild(0), currentDatabase);
qbp.addInsertIntoTable(tab_name);
case HiveParser.TOK_DESTINATION:
ctx_1.dest = "insclause-" + ctx_1.nextNum;
ctx_1.nextNum++;
// is there a insert in the subquery
if (qbp.getIsSubQ()) {
ASTNode ch = (ASTNode) ast.getChild(0);
if ((ch.getToken().getType() != HiveParser.TOK_DIR)
|| (((ASTNode) ch.getChild(0)).getToken().getType() != HiveParser.TOK_TMP_FILE)) {
throw new SemanticException(ErrorMsg.NO_INSERT_INSUBQUERY
.getMsg(ast));
}
}
qbp.setDestForClause(ctx_1.dest, (ASTNode) ast.getChild(0));
break;
case HiveParser.TOK_FROM:
int child_count = ast.getChildCount();
if (child_count != 1) {
throw new SemanticException(generateErrorMessage(ast,
"Multiple Children " + child_count));
}
// Check if this is a subquery / lateral view
ASTNode frm = (ASTNode) ast.getChild(0);
if (frm.getToken().getType() == HiveParser.TOK_TABREF) {
processTable(qb, frm);
} else if (frm.getToken().getType() == HiveParser.TOK_SUBQUERY) {
processSubQuery(qb, frm);
} else if (frm.getToken().getType() == HiveParser.TOK_LATERAL_VIEW ||
frm.getToken().getType() == HiveParser.TOK_LATERAL_VIEW_OUTER) {
processLateralView(qb, frm);
} else if (isJoinToken(frm)) {
queryProperties.setHasJoin(true);
processJoin(qb, frm);
qbp.setJoinExpr(frm);
}else if(frm.getToken().getType() == HiveParser.TOK_PTBLFUNCTION){
queryProperties.setHasPTF(true);
processPTF(qb, frm);
}
break;
case HiveParser.TOK_CLUSTERBY:
// Get the clusterby aliases - these are aliased to the entries in the
// select list
queryProperties.setHasClusterBy(true);
qbp.setClusterByExprForClause(ctx_1.dest, ast);
break;
case HiveParser.TOK_DISTRIBUTEBY:
// Get the distribute by aliases - these are aliased to the entries in
// the
// select list
queryProperties.setHasDistributeBy(true);
qbp.setDistributeByExprForClause(ctx_1.dest, ast);
if (qbp.getClusterByForClause(ctx_1.dest) != null) {
throw new SemanticException(generateErrorMessage(ast,
ErrorMsg.CLUSTERBY_DISTRIBUTEBY_CONFLICT.getMsg()));
} else if (qbp.getOrderByForClause(ctx_1.dest) != null) {
throw new SemanticException(generateErrorMessage(ast,
ErrorMsg.ORDERBY_DISTRIBUTEBY_CONFLICT.getMsg()));
}
break;
case HiveParser.TOK_SORTBY:
// Get the sort by aliases - these are aliased to the entries in the
// select list
queryProperties.setHasSortBy(true);
qbp.setSortByExprForClause(ctx_1.dest, ast);
if (qbp.getClusterByForClause(ctx_1.dest) != null) {
throw new SemanticException(generateErrorMessage(ast,
ErrorMsg.CLUSTERBY_SORTBY_CONFLICT.getMsg()));
} else if (qbp.getOrderByForClause(ctx_1.dest) != null) {
throw new SemanticException(generateErrorMessage(ast,
ErrorMsg.ORDERBY_SORTBY_CONFLICT.getMsg()));
}
break;
case HiveParser.TOK_ORDERBY:
// Get the order by aliases - these are aliased to the entries in the
// select list
queryProperties.setHasOrderBy(true);
qbp.setOrderByExprForClause(ctx_1.dest, ast);
if (qbp.getClusterByForClause(ctx_1.dest) != null) {
throw new SemanticException(generateErrorMessage(ast,
ErrorMsg.CLUSTERBY_ORDERBY_CONFLICT.getMsg()));
}
break;
case HiveParser.TOK_GROUPBY:
case HiveParser.TOK_ROLLUP_GROUPBY:
case HiveParser.TOK_CUBE_GROUPBY:
case HiveParser.TOK_GROUPING_SETS:
// Get the groupby aliases - these are aliased to the entries in the
// select list
queryProperties.setHasGroupBy(true);
if (qbp.getJoinExpr() != null) {
queryProperties.setHasJoinFollowedByGroupBy(true);
}
if (qbp.getSelForClause(ctx_1.dest).getToken().getType() == HiveParser.TOK_SELECTDI) {
throw new SemanticException(generateErrorMessage(ast,
ErrorMsg.SELECT_DISTINCT_WITH_GROUPBY.getMsg()));
}
qbp.setGroupByExprForClause(ctx_1.dest, ast);
skipRecursion = true;
// Rollup and Cubes are syntactic sugar on top of grouping sets
if (ast.getToken().getType() == HiveParser.TOK_ROLLUP_GROUPBY) {
qbp.getDestRollups().add(ctx_1.dest);
} else if (ast.getToken().getType() == HiveParser.TOK_CUBE_GROUPBY) {
qbp.getDestCubes().add(ctx_1.dest);
} else if (ast.getToken().getType() == HiveParser.TOK_GROUPING_SETS) {
qbp.getDestGroupingSets().add(ctx_1.dest);
}
break;
case HiveParser.TOK_HAVING:
qbp.setHavingExprForClause(ctx_1.dest, ast);
qbp.addAggregationExprsForClause(ctx_1.dest,
doPhase1GetAggregationsFromSelect(ast, qb, ctx_1.dest));
break;
case HiveParser.KW_WINDOW:
if (!qb.hasWindowingSpec(ctx_1.dest) ) {
throw new SemanticException(generateErrorMessage(ast,
"Query has no Cluster/Distribute By; but has a Window definition"));
}
handleQueryWindowClauses(qb, ctx_1, ast);
break;
case HiveParser.TOK_LIMIT:
qbp.setDestLimit(ctx_1.dest, new Integer(ast.getChild(0).getText()));
break;
case HiveParser.TOK_ANALYZE:
// Case of analyze command
String table_name = getUnescapedName((ASTNode) ast.getChild(0).getChild(0));
qb.setTabAlias(table_name, table_name);
qb.addAlias(table_name);
qb.getParseInfo().setIsAnalyzeCommand(true);
qb.getParseInfo().setNoScanAnalyzeCommand(this.noscan);
qb.getParseInfo().setPartialScanAnalyzeCommand(this.partialscan);
// Allow analyze the whole table and dynamic partitions
HiveConf.setVar(conf, HiveConf.ConfVars.DYNAMICPARTITIONINGMODE, "nonstrict");
HiveConf.setVar(conf, HiveConf.ConfVars.HIVEMAPREDMODE, "nonstrict");
break;
case HiveParser.TOK_UNION:
// currently, we dont support subq1 union subq2 - the user has to
// explicitly say:
// select * from (subq1 union subq2) subqalias
if (!qbp.getIsSubQ()) {
throw new SemanticException(generateErrorMessage(ast,
ErrorMsg.UNION_NOTIN_SUBQ.getMsg()));
}
case HiveParser.TOK_INSERT:
ASTNode destination = (ASTNode) ast.getChild(0);
Tree tab = destination.getChild(0);
// Proceed if AST contains partition & If Not Exists
if (destination.getChildCount() == 2 &&
tab.getChildCount() == 2 &&
destination.getChild(1).getType() == HiveParser.TOK_IFNOTEXISTS) {
String tableName = tab.getChild(0).getChild(0).getText();
Tree partitions = tab.getChild(1);
int childCount = partitions.getChildCount();
HashMap<String, String> partition = new HashMap<String, String>();
for (int i = 0; i < childCount; i++) {
String partitionName = partitions.getChild(i).getChild(0).getText();
Tree pvalue = partitions.getChild(i).getChild(1);
if (pvalue == null) {
break;
}
String partitionVal = stripQuotes(pvalue.getText());
partition.put(partitionName, partitionVal);
}
// if it is a dynamic partition throw the exception
if (childCount == partition.size()) {
try {
Table table = db.getTable(tableName);
Partition parMetaData = db.getPartition(table, partition, false);
// Check partition exists if it exists skip the overwrite
if (parMetaData != null) {
phase1Result = false;
skipRecursion = true;
LOG.info("Partition already exists so insert into overwrite " +
"skipped for partition : " + parMetaData.toString());
break;
}
} catch (HiveException e) {
LOG.info("Error while getting metadata : ", e);
}
} else {
throw new SemanticException(ErrorMsg.INSERT_INTO_DYNAMICPARTITION_IFNOTEXISTS
.getMsg(partition.toString()));
}
}
skipRecursion = false;
break;
case HiveParser.TOK_LATERAL_VIEW:
case HiveParser.TOK_LATERAL_VIEW_OUTER:
// todo: nested LV
assert ast.getChildCount() == 1;
qb.getParseInfo().getDestToLateralView().put(ctx_1.dest, ast);
break;
default:
skipRecursion = false;
break;
}
}
if (!skipRecursion) {
// Iterate over the rest of the children
int child_count = ast.getChildCount();
for (int child_pos = 0; child_pos < child_count && phase1Result; ++child_pos) {
// Recurse
phase1Result = phase1Result && doPhase1((ASTNode) ast.getChild(child_pos), qb, ctx_1);
}
}
return phase1Result;
}
private void getMetaData(QBExpr qbexpr) throws SemanticException {
getMetaData(qbexpr, null);
}
private void getMetaData(QBExpr qbexpr, ReadEntity parentInput)
throws SemanticException {
if (qbexpr.getOpcode() == QBExpr.Opcode.NULLOP) {
getMetaData(qbexpr.getQB(), parentInput);
} else {
getMetaData(qbexpr.getQBExpr1(), parentInput);
getMetaData(qbexpr.getQBExpr2(), parentInput);
}
}
public void getMetaData(QB qb) throws SemanticException {
getMetaData(qb, null);
}
@SuppressWarnings("nls")
public void getMetaData(QB qb, ReadEntity parentInput) throws SemanticException {
try {
LOG.info("Get metadata for source tables");
// Go over the tables and populate the related structures.
// We have to materialize the table alias list since we might
// modify it in the middle for view rewrite.
List<String> tabAliases = new ArrayList<String>(qb.getTabAliases());
// Keep track of view alias to view name and read entity
// For eg: for a query like 'select * from V3', where V3 -> V2, V2 -> V1, V1 -> T
// keeps track of full view name and read entity corresponding to alias V3, V3:V2, V3:V2:V1.
// This is needed for tracking the dependencies for inputs, along with their parents.
Map<String, ObjectPair<String, ReadEntity>> aliasToViewInfo =
new HashMap<String, ObjectPair<String, ReadEntity>>();
for (String alias : tabAliases) {
String tab_name = qb.getTabNameForAlias(alias);
Table tab = null;
try {
tab = db.getTable(tab_name);
} catch (InvalidTableException ite) {
throw new SemanticException(ErrorMsg.INVALID_TABLE.getMsg(qb
.getParseInfo().getSrcForAlias(alias)));
}
// Disallow INSERT INTO on bucketized tables
if (qb.getParseInfo().isInsertIntoTable(tab.getDbName(), tab.getTableName()) &&
tab.getNumBuckets() > 0) {
throw new SemanticException(ErrorMsg.INSERT_INTO_BUCKETIZED_TABLE.
getMsg("Table: " + tab_name));
}
// We check offline of the table, as if people only select from an
// non-existing partition of an offline table, the partition won't
// be added to inputs and validate() won't have the information to
// check the table's offline status.
// TODO: Modify the code to remove the checking here and consolidate
// it in validate()
//
if (tab.isOffline()) {
throw new SemanticException(ErrorMsg.OFFLINE_TABLE_OR_PARTITION.
getMsg("Table " + getUnescapedName(qb.getParseInfo().getSrcForAlias(alias))));
}
if (tab.isView()) {
if (qb.getParseInfo().isAnalyzeCommand()) {
throw new SemanticException(ErrorMsg.ANALYZE_VIEW.getMsg());
}
String fullViewName = tab.getDbName() + "." + tab.getTableName();
// Prevent view cycles
if (viewsExpanded.contains(fullViewName)) {
throw new SemanticException("Recursive view " + fullViewName +
" detected (cycle: " + StringUtils.join(viewsExpanded, " -> ") +
" -> " + fullViewName + ").");
}
replaceViewReferenceWithDefinition(qb, tab, tab_name, alias);
// This is the last time we'll see the Table objects for views, so add it to the inputs
// now
ReadEntity viewInput = new ReadEntity(tab, parentInput);
viewInput = PlanUtils.addInput(inputs, viewInput);
aliasToViewInfo.put(alias, new ObjectPair<String, ReadEntity>(fullViewName, viewInput));
viewAliasToInput.put(getAliasId(alias, qb), viewInput);
continue;
}
if (!InputFormat.class.isAssignableFrom(tab.getInputFormatClass())) {
throw new SemanticException(generateErrorMessage(
qb.getParseInfo().getSrcForAlias(alias),
ErrorMsg.INVALID_INPUT_FORMAT_TYPE.getMsg()));
}
qb.getMetaData().setSrcForAlias(alias, tab);
if (qb.getParseInfo().isAnalyzeCommand()) {
// allow partial partition specification for nonscan since noscan is fast.
tableSpec ts = new tableSpec(db, conf, (ASTNode) ast.getChild(0), true, this.noscan);
if (ts.specType == SpecType.DYNAMIC_PARTITION) { // dynamic partitions
try {
ts.partitions = db.getPartitionsByNames(ts.tableHandle, ts.partSpec);
} catch (HiveException e) {
throw new SemanticException(generateErrorMessage(
qb.getParseInfo().getSrcForAlias(alias),
"Cannot get partitions for " + ts.partSpec), e);
}
}
// validate partial scan command
QBParseInfo qbpi = qb.getParseInfo();
if (qbpi.isPartialScanAnalyzeCommand()) {
Class<? extends InputFormat> inputFormatClass = null;
switch (ts.specType) {
case TABLE_ONLY:
inputFormatClass = ts.tableHandle.getInputFormatClass();
break;
case STATIC_PARTITION:
inputFormatClass = ts.partHandle.getInputFormatClass();
break;
default:
assert false;
}
// throw a HiveException for non-rcfile.
if (!inputFormatClass.equals(RCFileInputFormat.class)) {
throw new SemanticException(ErrorMsg.ANALYZE_TABLE_PARTIALSCAN_NON_RCFILE.getMsg());
}
}
qb.getParseInfo().addTableSpec(alias, ts);
}
}
LOG.info("Get metadata for subqueries");
// Go over the subqueries and getMetaData for these
for (String alias : qb.getSubqAliases()) {
boolean wasView = aliasToViewInfo.containsKey(alias);
ReadEntity newParentInput = null;
if (wasView) {
viewsExpanded.add(aliasToViewInfo.get(alias).getFirst());
newParentInput = aliasToViewInfo.get(alias).getSecond();
}
QBExpr qbexpr = qb.getSubqForAlias(alias);
getMetaData(qbexpr, newParentInput);
if (wasView) {
viewsExpanded.remove(viewsExpanded.size() - 1);
}
}
RowFormatParams rowFormatParams = new RowFormatParams();
AnalyzeCreateCommonVars shared = new AnalyzeCreateCommonVars();
StorageFormat storageFormat = new StorageFormat();
LOG.info("Get metadata for destination tables");
// Go over all the destination structures and populate the related
// metadata
QBParseInfo qbp = qb.getParseInfo();
for (String name : qbp.getClauseNamesForDest()) {
ASTNode ast = qbp.getDestForClause(name);
switch (ast.getToken().getType()) {
case HiveParser.TOK_TAB: {
tableSpec ts = new tableSpec(db, conf, ast);
if (ts.tableHandle.isView()) {
throw new SemanticException(ErrorMsg.DML_AGAINST_VIEW.getMsg());
}
Class<?> outputFormatClass = ts.tableHandle.getOutputFormatClass();
if (!HiveOutputFormat.class.isAssignableFrom(outputFormatClass)) {
throw new SemanticException(ErrorMsg.INVALID_OUTPUT_FORMAT_TYPE
.getMsg(ast, "The class is " + outputFormatClass.toString()));
}
// tableSpec ts is got from the query (user specified),
// which means the user didn't specify partitions in their query,
// but whether the table itself is partitioned is not know.
if (ts.specType != SpecType.STATIC_PARTITION) {
// This is a table or dynamic partition
qb.getMetaData().setDestForAlias(name, ts.tableHandle);
// has dynamic as well as static partitions
if (ts.partSpec != null && ts.partSpec.size() > 0) {
qb.getMetaData().setPartSpecForAlias(name, ts.partSpec);
}
} else {
// This is a partition
qb.getMetaData().setDestForAlias(name, ts.partHandle);
}
if (HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVESTATSAUTOGATHER)) {
// Set that variable to automatically collect stats during the MapReduce job
qb.getParseInfo().setIsInsertToTable(true);
// Add the table spec for the destination table.
qb.getParseInfo().addTableSpec(ts.tableName.toLowerCase(), ts);
}
break;
}
case HiveParser.TOK_LOCAL_DIR:
case HiveParser.TOK_DIR: {
// This is a dfs file
String fname = stripQuotes(ast.getChild(0).getText());
if ((!qb.getParseInfo().getIsSubQ())
&& (((ASTNode) ast.getChild(0)).getToken().getType() == HiveParser.TOK_TMP_FILE)) {
if (qb.isCTAS()) {
qb.setIsQuery(false);
ctx.setResDir(null);
ctx.setResFile(null);
// allocate a temporary output dir on the location of the table
String tableName = getUnescapedName((ASTNode) ast.getChild(0));
Table newTable = db.newTable(tableName);
Path location;
try {
Warehouse wh = new Warehouse(conf);
location = wh.getDatabasePath(db.getDatabase(newTable.getDbName()));
} catch (MetaException e) {
throw new SemanticException(e);
}
try {
fname = ctx.getExternalTmpFileURI(
FileUtils.makeQualified(location, conf).toUri());
} catch (Exception e) {
throw new SemanticException(generateErrorMessage(ast,
"Error creating temporary folder on: " + location.toString()), e);
}
if (HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVESTATSAUTOGATHER)) {
tableSpec ts = new tableSpec(db, conf, this.ast);
// Set that variable to automatically collect stats during the MapReduce job
qb.getParseInfo().setIsInsertToTable(true);
// Add the table spec for the destination table.
qb.getParseInfo().addTableSpec(ts.tableName.toLowerCase(), ts);
}
} else {
qb.setIsQuery(true);
fname = ctx.getMRTmpFileURI();
ctx.setResDir(new Path(fname));
}
}
qb.getMetaData().setDestForAlias(name, fname,
(ast.getToken().getType() == HiveParser.TOK_DIR));
CreateTableDesc localDirectoryDesc = new CreateTableDesc();
boolean localDirectoryDescIsSet = false;
int numCh = ast.getChildCount();
for (int num = 1; num < numCh ; num++){
ASTNode child = (ASTNode) ast.getChild(num);
if (ast.getChild(num) != null){
switch (child.getToken().getType()) {
case HiveParser.TOK_TABLEROWFORMAT:
rowFormatParams.analyzeRowFormat(shared, child);
localDirectoryDesc.setFieldDelim(rowFormatParams.fieldDelim);
localDirectoryDesc.setLineDelim(rowFormatParams.lineDelim);
localDirectoryDesc.setCollItemDelim(rowFormatParams.collItemDelim);
localDirectoryDesc.setMapKeyDelim(rowFormatParams.mapKeyDelim);
localDirectoryDesc.setFieldEscape(rowFormatParams.fieldEscape);
localDirectoryDescIsSet=true;
break;
case HiveParser.TOK_TABLESERIALIZER:
ASTNode serdeChild = (ASTNode) child.getChild(0);
shared.serde = unescapeSQLString(serdeChild.getChild(0).getText());
localDirectoryDesc.setSerName(shared.serde);
localDirectoryDescIsSet=true;
break;
case HiveParser.TOK_TBLSEQUENCEFILE:
case HiveParser.TOK_TBLTEXTFILE:
case HiveParser.TOK_TBLRCFILE:
case HiveParser.TOK_TBLORCFILE:
case HiveParser.TOK_TABLEFILEFORMAT:
storageFormat.fillStorageFormat(child, shared);
localDirectoryDesc.setOutputFormat(storageFormat.outputFormat);
localDirectoryDesc.setSerName(shared.serde);
localDirectoryDescIsSet=true;
break;
}
}
}
if (localDirectoryDescIsSet){
qb.setLocalDirectoryDesc(localDirectoryDesc);
}
break;
}
default:
throw new SemanticException(generateErrorMessage(ast,
"Unknown Token Type " + ast.getToken().getType()));
}
}
} catch (HiveException e) {
// Has to use full name to make sure it does not conflict with
// org.apache.commons.lang.StringUtils
LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
throw new SemanticException(e.getMessage(), e);
}
}
private void replaceViewReferenceWithDefinition(QB qb, Table tab,
String tab_name, String alias) throws SemanticException {
ParseDriver pd = new ParseDriver();
ASTNode viewTree;
final ASTNodeOrigin viewOrigin = new ASTNodeOrigin("VIEW", tab.getTableName(),
tab.getViewExpandedText(), alias, qb.getParseInfo().getSrcForAlias(
alias));
try {
String viewText = tab.getViewExpandedText();
// Reparse text, passing null for context to avoid clobbering
// the top-level token stream.
ASTNode tree = pd.parse(viewText, null);
tree = ParseUtils.findRootNonNullToken(tree);
viewTree = tree;
Dispatcher nodeOriginDispatcher = new Dispatcher() {
public Object dispatch(Node nd, java.util.Stack<Node> stack,
Object... nodeOutputs) {
((ASTNode) nd).setOrigin(viewOrigin);
return null;
}
};
GraphWalker nodeOriginTagger = new DefaultGraphWalker(
nodeOriginDispatcher);
nodeOriginTagger.startWalking(java.util.Collections
.<Node> singleton(viewTree), null);
} catch (ParseException e) {
// A user could encounter this if a stored view definition contains
// an old SQL construct which has been eliminated in a later Hive
// version, so we need to provide full debugging info to help
// with fixing the view definition.
LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
StringBuilder sb = new StringBuilder();
sb.append(e.getMessage());
ErrorMsg.renderOrigin(sb, viewOrigin);
throw new SemanticException(sb.toString(), e);
}
QBExpr qbexpr = new QBExpr(alias);
doPhase1QBExpr(viewTree, qbexpr, qb.getId(), alias);
qb.rewriteViewToSubq(alias, tab_name, qbexpr);
}
private boolean isPresent(String[] list, String elem) {
for (String s : list) {
if (s.toLowerCase().equals(elem)) {
return true;
}
}
return false;
}
@SuppressWarnings("nls")
private void parseJoinCondPopulateAlias(QBJoinTree joinTree, ASTNode condn,
ArrayList<String> leftAliases, ArrayList<String> rightAliases,
ArrayList<String> fields) throws SemanticException {
// String[] allAliases = joinTree.getAllAliases();
switch (condn.getToken().getType()) {
case HiveParser.TOK_TABLE_OR_COL:
String tableOrCol = unescapeIdentifier(condn.getChild(0).getText()
.toLowerCase());
unparseTranslator.addIdentifierTranslation((ASTNode) condn.getChild(0));
if (isPresent(joinTree.getLeftAliases(), tableOrCol)) {
if (!leftAliases.contains(tableOrCol)) {
leftAliases.add(tableOrCol);
}
} else if (isPresent(joinTree.getRightAliases(), tableOrCol)) {
if (!rightAliases.contains(tableOrCol)) {
rightAliases.add(tableOrCol);
}
} else {
// We don't support columns without table prefix in JOIN condition right
// now.
// We need to pass Metadata here to know which table the column belongs
// to.
throw new SemanticException(ErrorMsg.INVALID_TABLE_ALIAS.getMsg(condn
.getChild(0)));
}
break;
case HiveParser.Identifier:
// it may be a field name, return the identifier and let the caller decide
// whether it is or not
if (fields != null) {
fields
.add(unescapeIdentifier(condn.getToken().getText().toLowerCase()));
}
unparseTranslator.addIdentifierTranslation(condn);
break;
case HiveParser.Number:
case HiveParser.StringLiteral:
case HiveParser.BigintLiteral:
case HiveParser.SmallintLiteral:
case HiveParser.TinyintLiteral:
case HiveParser.DecimalLiteral:
case HiveParser.TOK_STRINGLITERALSEQUENCE:
case HiveParser.TOK_CHARSETLITERAL:
case HiveParser.KW_TRUE:
case HiveParser.KW_FALSE:
break;
case HiveParser.TOK_FUNCTION:
// check all the arguments
for (int i = 1; i < condn.getChildCount(); i++) {
parseJoinCondPopulateAlias(joinTree, (ASTNode) condn.getChild(i),
leftAliases, rightAliases, null);
}
break;
default:
// This is an operator - so check whether it is unary or binary operator
if (condn.getChildCount() == 1) {
parseJoinCondPopulateAlias(joinTree, (ASTNode) condn.getChild(0),
leftAliases, rightAliases, null);
} else if (condn.getChildCount() == 2) {
ArrayList<String> fields1 = null;
// if it is a dot operator, remember the field name of the rhs of the
// left semijoin
if (joinTree.getNoSemiJoin() == false
&& condn.getToken().getType() == HiveParser.DOT) {
// get the semijoin rhs table name and field name
fields1 = new ArrayList<String>();
int rhssize = rightAliases.size();
parseJoinCondPopulateAlias(joinTree, (ASTNode) condn.getChild(0),
leftAliases, rightAliases, null);
String rhsAlias = null;
if (rightAliases.size() > rhssize) { // the new table is rhs table
rhsAlias = rightAliases.get(rightAliases.size() - 1);
}
parseJoinCondPopulateAlias(joinTree, (ASTNode) condn.getChild(1),
leftAliases, rightAliases, fields1);
if (rhsAlias != null && fields1.size() > 0) {
joinTree.addRHSSemijoinColumns(rhsAlias, condn);
}
} else {
parseJoinCondPopulateAlias(joinTree, (ASTNode) condn.getChild(0),
leftAliases, rightAliases, null);
parseJoinCondPopulateAlias(joinTree, (ASTNode) condn.getChild(1),
leftAliases, rightAliases, fields1);
}
} else {
throw new SemanticException(condn.toStringTree() + " encountered with "
+ condn.getChildCount() + " children");
}
break;
}
}
private void populateAliases(List<String> leftAliases,
List<String> rightAliases, ASTNode condn, QBJoinTree joinTree,
List<String> leftSrc) throws SemanticException {
if ((leftAliases.size() != 0) && (rightAliases.size() != 0)) {
throw new SemanticException(ErrorMsg.INVALID_JOIN_CONDITION_1
.getMsg(condn));
}
if (rightAliases.size() != 0) {
assert rightAliases.size() == 1;
joinTree.getExpressions().get(1).add(condn);
} else if (leftAliases.size() != 0) {
joinTree.getExpressions().get(0).add(condn);
for (String s : leftAliases) {
if (!leftSrc.contains(s)) {
leftSrc.add(s);
}
}
} else {
throw new SemanticException(ErrorMsg.INVALID_JOIN_CONDITION_2
.getMsg(condn));
}
}
private void parseJoinCondition(QBJoinTree joinTree, ASTNode joinCond, List<String> leftSrc)
throws SemanticException {
if (joinCond == null) {
return;
}
JoinCond cond = joinTree.getJoinCond()[0];
JoinType type = cond.getJoinType();
parseJoinCondition(joinTree, joinCond, leftSrc, type);
List<ArrayList<ASTNode>> filters = joinTree.getFilters();
if (type == JoinType.LEFTOUTER || type == JoinType.FULLOUTER) {
joinTree.addFilterMapping(cond.getLeft(), cond.getRight(), filters.get(0).size());
}
if (type == JoinType.RIGHTOUTER || type == JoinType.FULLOUTER) {
joinTree.addFilterMapping(cond.getRight(), cond.getLeft(), filters.get(1).size());
}
}
/**
* Parse the join condition. If the condition is a join condition, throw an
* error if it is not an equality. Otherwise, break it into left and right
* expressions and store in the join tree. If the condition is a join filter,
* add it to the filter list of join tree. The join condition can contains
* conditions on both the left and tree trees and filters on either.
* Currently, we only support equi-joins, so we throw an error if the
* condition involves both subtrees and is not a equality. Also, we only
* support AND i.e ORs are not supported currently as their semantics are not
* very clear, may lead to data explosion and there is no usecase.
*
* @param joinTree
* jointree to be populated
* @param joinCond
* join condition
* @param leftSrc
* left sources
* @throws SemanticException
*/
private void parseJoinCondition(QBJoinTree joinTree, ASTNode joinCond,
List<String> leftSrc, JoinType type) throws SemanticException {
if (joinCond == null) {
return;
}
switch (joinCond.getToken().getType()) {
case HiveParser.KW_OR:
throw new SemanticException(ErrorMsg.INVALID_JOIN_CONDITION_3
.getMsg(joinCond));
case HiveParser.KW_AND:
parseJoinCondition(joinTree, (ASTNode) joinCond.getChild(0), leftSrc, type);
parseJoinCondition(joinTree, (ASTNode) joinCond.getChild(1), leftSrc, type);
break;
case HiveParser.EQUAL_NS:
case HiveParser.EQUAL:
ASTNode leftCondn = (ASTNode) joinCond.getChild(0);
ArrayList<String> leftCondAl1 = new ArrayList<String>();
ArrayList<String> leftCondAl2 = new ArrayList<String>();
parseJoinCondPopulateAlias(joinTree, leftCondn, leftCondAl1, leftCondAl2,
null);
ASTNode rightCondn = (ASTNode) joinCond.getChild(1);
ArrayList<String> rightCondAl1 = new ArrayList<String>();
ArrayList<String> rightCondAl2 = new ArrayList<String>();
parseJoinCondPopulateAlias(joinTree, rightCondn, rightCondAl1,
rightCondAl2, null);
// is it a filter or a join condition
// if it is filter see if it can be pushed above the join
// filter cannot be pushed if
// * join is full outer or
// * join is left outer and filter is on left alias or
// * join is right outer and filter is on right alias
if (((leftCondAl1.size() != 0) && (leftCondAl2.size() != 0))
|| ((rightCondAl1.size() != 0) && (rightCondAl2.size() != 0))) {
throw new SemanticException(ErrorMsg.INVALID_JOIN_CONDITION_1
.getMsg(joinCond));
}
if (leftCondAl1.size() != 0) {
if ((rightCondAl1.size() != 0)
|| ((rightCondAl1.size() == 0) && (rightCondAl2.size() == 0))) {
if (type.equals(JoinType.LEFTOUTER) ||
type.equals(JoinType.FULLOUTER)) {
if (conf.getBoolVar(HiveConf.ConfVars.HIVEOUTERJOINSUPPORTSFILTERS)) {
joinTree.getFilters().get(0).add(joinCond);
} else {
LOG.warn(ErrorMsg.OUTERJOIN_USES_FILTERS);
joinTree.getFiltersForPushing().get(0).add(joinCond);
}
} else {
joinTree.getFiltersForPushing().get(0).add(joinCond);
}
} else if (rightCondAl2.size() != 0) {
populateAliases(leftCondAl1, leftCondAl2, leftCondn, joinTree,
leftSrc);
populateAliases(rightCondAl1, rightCondAl2, rightCondn, joinTree,
leftSrc);
boolean nullsafe = joinCond.getToken().getType() == HiveParser.EQUAL_NS;
joinTree.getNullSafes().add(nullsafe);
}
} else if (leftCondAl2.size() != 0) {
if ((rightCondAl2.size() != 0)
|| ((rightCondAl1.size() == 0) && (rightCondAl2.size() == 0))) {
if (type.equals(JoinType.RIGHTOUTER)
|| type.equals(JoinType.FULLOUTER)) {
if (conf.getBoolVar(HiveConf.ConfVars.HIVEOUTERJOINSUPPORTSFILTERS)) {
joinTree.getFilters().get(1).add(joinCond);
} else {
LOG.warn(ErrorMsg.OUTERJOIN_USES_FILTERS);
joinTree.getFiltersForPushing().get(1).add(joinCond);
}
} else {
joinTree.getFiltersForPushing().get(1).add(joinCond);
}
} else if (rightCondAl1.size() != 0) {
populateAliases(leftCondAl1, leftCondAl2, leftCondn, joinTree,
leftSrc);
populateAliases(rightCondAl1, rightCondAl2, rightCondn, joinTree,
leftSrc);
boolean nullsafe = joinCond.getToken().getType() == HiveParser.EQUAL_NS;
joinTree.getNullSafes().add(nullsafe);
}
} else if (rightCondAl1.size() != 0) {
if (type.equals(JoinType.LEFTOUTER)
|| type.equals(JoinType.FULLOUTER)) {
if (conf.getBoolVar(HiveConf.ConfVars.HIVEOUTERJOINSUPPORTSFILTERS)) {
joinTree.getFilters().get(0).add(joinCond);
} else {
LOG.warn(ErrorMsg.OUTERJOIN_USES_FILTERS);
joinTree.getFiltersForPushing().get(0).add(joinCond);
}
} else {
joinTree.getFiltersForPushing().get(0).add(joinCond);
}
} else {
if (type.equals(JoinType.RIGHTOUTER)
|| type.equals(JoinType.FULLOUTER)) {
if (conf.getBoolVar(HiveConf.ConfVars.HIVEOUTERJOINSUPPORTSFILTERS)) {
joinTree.getFilters().get(1).add(joinCond);
} else {
LOG.warn(ErrorMsg.OUTERJOIN_USES_FILTERS);
joinTree.getFiltersForPushing().get(1).add(joinCond);
}
} else {
joinTree.getFiltersForPushing().get(1).add(joinCond);
}
}
break;
default:
boolean isFunction = (joinCond.getType() == HiveParser.TOK_FUNCTION);
// Create all children
int childrenBegin = (isFunction ? 1 : 0);
ArrayList<ArrayList<String>> leftAlias = new ArrayList<ArrayList<String>>(
joinCond.getChildCount() - childrenBegin);
ArrayList<ArrayList<String>> rightAlias = new ArrayList<ArrayList<String>>(
joinCond.getChildCount() - childrenBegin);
for (int ci = 0; ci < joinCond.getChildCount() - childrenBegin; ci++) {
ArrayList<String> left = new ArrayList<String>();
ArrayList<String> right = new ArrayList<String>();
leftAlias.add(left);
rightAlias.add(right);
}
for (int ci = childrenBegin; ci < joinCond.getChildCount(); ci++) {
parseJoinCondPopulateAlias(joinTree, (ASTNode) joinCond.getChild(ci),
leftAlias.get(ci - childrenBegin), rightAlias.get(ci
- childrenBegin), null);
}
boolean leftAliasNull = true;
for (ArrayList<String> left : leftAlias) {
if (left.size() != 0) {
leftAliasNull = false;
break;
}
}
boolean rightAliasNull = true;
for (ArrayList<String> right : rightAlias) {
if (right.size() != 0) {
rightAliasNull = false;
break;
}
}
if (!leftAliasNull && !rightAliasNull) {
throw new SemanticException(ErrorMsg.INVALID_JOIN_CONDITION_1
.getMsg(joinCond));
}
if (!leftAliasNull) {
if (type.equals(JoinType.LEFTOUTER)
|| type.equals(JoinType.FULLOUTER)) {
if (conf.getBoolVar(HiveConf.ConfVars.HIVEOUTERJOINSUPPORTSFILTERS)) {
joinTree.getFilters().get(0).add(joinCond);
} else {
LOG.warn(ErrorMsg.OUTERJOIN_USES_FILTERS);
joinTree.getFiltersForPushing().get(0).add(joinCond);
}
} else {
joinTree.getFiltersForPushing().get(0).add(joinCond);
}
} else {
if (type.equals(JoinType.RIGHTOUTER)
|| type.equals(JoinType.FULLOUTER)) {
if (conf.getBoolVar(HiveConf.ConfVars.HIVEOUTERJOINSUPPORTSFILTERS)) {
joinTree.getFilters().get(1).add(joinCond);
} else {
LOG.warn(ErrorMsg.OUTERJOIN_USES_FILTERS);
joinTree.getFiltersForPushing().get(1).add(joinCond);
}
} else {
joinTree.getFiltersForPushing().get(1).add(joinCond);
}
}
break;
}
}
@SuppressWarnings("nls")
public <T extends OperatorDesc> Operator<T> putOpInsertMap(Operator<T> op,
RowResolver rr) {
OpParseContext ctx = new OpParseContext(rr);
opParseCtx.put(op, ctx);
op.augmentPlan();
return op;
}
@SuppressWarnings("nls")
private Operator genHavingPlan(String dest, QB qb, Operator input)
throws SemanticException {
ASTNode havingExpr = qb.getParseInfo().getHavingForClause(dest);
OpParseContext inputCtx = opParseCtx.get(input);
RowResolver inputRR = inputCtx.getRowResolver();
Map<ASTNode, String> exprToColumnAlias = qb.getParseInfo().getAllExprToColumnAlias();
for (ASTNode astNode : exprToColumnAlias.keySet()) {
if (inputRR.getExpression(astNode) != null) {
inputRR.put("", exprToColumnAlias.get(astNode), inputRR.getExpression(astNode));
}
}
ASTNode condn = (ASTNode) havingExpr.getChild(0);
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(
new FilterDesc(genExprNodeDesc(condn, inputRR), false), new RowSchema(
inputRR.getColumnInfos()), input), inputRR);
return output;
}
@SuppressWarnings("nls")
private Operator genFilterPlan(String dest, QB qb, Operator input)
throws SemanticException {
ASTNode whereExpr = qb.getParseInfo().getWhrForClause(dest);
return genFilterPlan(qb, (ASTNode) whereExpr.getChild(0), input);
}
/**
* create a filter plan. The condition and the inputs are specified.
*
* @param qb
* current query block
* @param condn
* The condition to be resolved
* @param input
* the input operator
*/
@SuppressWarnings("nls")
private Operator genFilterPlan(QB qb, ASTNode condn, Operator input)
throws SemanticException {
OpParseContext inputCtx = opParseCtx.get(input);
RowResolver inputRR = inputCtx.getRowResolver();
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(
new FilterDesc(genExprNodeDesc(condn, inputRR), false), new RowSchema(
inputRR.getColumnInfos()), input), inputRR);
if (LOG.isDebugEnabled()) {
LOG.debug("Created Filter Plan for " + qb.getId() + " row schema: "
+ inputRR.toString());
}
return output;
}
@SuppressWarnings("nls")
private Integer genColListRegex(String colRegex, String tabAlias,
ASTNode sel, ArrayList<ExprNodeDesc> col_list,
RowResolver input, Integer pos, RowResolver output, List<String> aliases, boolean subQuery)
throws SemanticException {
// The table alias should exist
if (tabAlias != null && !input.hasTableAlias(tabAlias)) {
throw new SemanticException(ErrorMsg.INVALID_TABLE_ALIAS.getMsg(sel));
}
// TODO: Have to put in the support for AS clause
Pattern regex = null;
try {
regex = Pattern.compile(colRegex, Pattern.CASE_INSENSITIVE);
} catch (PatternSyntaxException e) {
throw new SemanticException(ErrorMsg.INVALID_COLUMN.getMsg(sel, e
.getMessage()));
}
StringBuilder replacementText = new StringBuilder();
int matched = 0;
// add empty string to the list of aliases. Some operators (ex. GroupBy) add
// ColumnInfos for table alias "".
if (!aliases.contains("")) {
aliases.add("");
}
// For expr "*", aliases should be iterated in the order they are specified
// in the query.
for (String alias : aliases) {
HashMap<String, ColumnInfo> fMap = input.getFieldMap(alias);
if (fMap == null) {
continue;
}
// For the tab.* case, add all the columns to the fieldList
// from the input schema
for (Map.Entry<String, ColumnInfo> entry : fMap.entrySet()) {
ColumnInfo colInfo = entry.getValue();
String name = colInfo.getInternalName();
String[] tmp = input.reverseLookup(name);
// Skip the colinfos which are not for this particular alias
if (tabAlias != null && !tmp[0].equalsIgnoreCase(tabAlias)) {
continue;
}
if (colInfo.getIsVirtualCol() && colInfo.isHiddenVirtualCol()) {
continue;
}
// Not matching the regex?
if (!regex.matcher(tmp[1]).matches()) {
continue;
}
ExprNodeColumnDesc expr = new ExprNodeColumnDesc(colInfo.getType(),
name, colInfo.getTabAlias(), colInfo.getIsVirtualCol(), colInfo.isSkewedCol());
if (subQuery) {
output.checkColumn(tmp[0], tmp[1]);
}
col_list.add(expr);
output.put(tmp[0], tmp[1],
new ColumnInfo(getColumnInternalName(pos), colInfo.getType(),
colInfo.getTabAlias(), colInfo.getIsVirtualCol(),
colInfo.isHiddenVirtualCol()));
pos = Integer.valueOf(pos.intValue() + 1);
matched++;
if (unparseTranslator.isEnabled()) {
if (replacementText.length() > 0) {
replacementText.append(", ");
}
replacementText.append(HiveUtils.unparseIdentifier(tmp[0]));
replacementText.append(".");
replacementText.append(HiveUtils.unparseIdentifier(tmp[1]));
}
}
}
if (matched == 0) {
throw new SemanticException(ErrorMsg.INVALID_COLUMN.getMsg(sel));
}
if (unparseTranslator.isEnabled()) {
unparseTranslator.addTranslation(sel, replacementText.toString());
}
return pos;
}
public static String getColumnInternalName(int pos) {
return HiveConf.getColumnInternalName(pos);
}
private String getScriptProgName(String cmd) {
int end = cmd.indexOf(" ");
return (end == -1) ? cmd : cmd.substring(0, end);
}
private String getScriptArgs(String cmd) {
int end = cmd.indexOf(" ");
return (end == -1) ? "" : cmd.substring(end, cmd.length());
}
private static int getPositionFromInternalName(String internalName) {
return HiveConf.getPositionFromInternalName(internalName);
}
private String fetchFilesNotInLocalFilesystem(String cmd) {
SessionState ss = SessionState.get();
String progName = getScriptProgName(cmd);
if (SessionState.canDownloadResource(progName)) {
String filePath = ss.add_resource(ResourceType.FILE, progName, true);
if (filePath == null) {
throw new RuntimeException("Could not download the resource: " + progName);
}
Path p = new Path(filePath);
String fileName = p.getName();
String scriptArgs = getScriptArgs(cmd);
String finalCmd = fileName + scriptArgs;
return finalCmd;
}
return cmd;
}
private TableDesc getTableDescFromSerDe(ASTNode child, String cols,
String colTypes, boolean defaultCols) throws SemanticException {
if (child.getType() == HiveParser.TOK_SERDENAME) {
String serdeName = unescapeSQLString(child.getChild(0).getText());
Class<? extends Deserializer> serdeClass = null;
try {
serdeClass = (Class<? extends Deserializer>) Class.forName(serdeName,
true, JavaUtils.getClassLoader());
} catch (ClassNotFoundException e) {
throw new SemanticException(e);
}
TableDesc tblDesc = PlanUtils.getTableDesc(serdeClass, Integer
.toString(Utilities.tabCode), cols, colTypes, defaultCols);
// copy all the properties
if (child.getChildCount() == 2) {
ASTNode prop = (ASTNode) ((ASTNode) child.getChild(1)).getChild(0);
for (int propChild = 0; propChild < prop.getChildCount(); propChild++) {
String key = unescapeSQLString(prop.getChild(propChild).getChild(0)
.getText());
String value = unescapeSQLString(prop.getChild(propChild).getChild(1)
.getText());
tblDesc.getProperties().setProperty(key, value);
}
}
return tblDesc;
} else if (child.getType() == HiveParser.TOK_SERDEPROPS) {
TableDesc tblDesc = PlanUtils.getDefaultTableDesc(Integer
.toString(Utilities.ctrlaCode), cols, colTypes, defaultCols);
int numChildRowFormat = child.getChildCount();
for (int numC = 0; numC < numChildRowFormat; numC++) {
ASTNode rowChild = (ASTNode) child.getChild(numC);
switch (rowChild.getToken().getType()) {
case HiveParser.TOK_TABLEROWFORMATFIELD:
String fieldDelim = unescapeSQLString(rowChild.getChild(0).getText());
tblDesc.getProperties()
.setProperty(serdeConstants.FIELD_DELIM, fieldDelim);
tblDesc.getProperties().setProperty(serdeConstants.SERIALIZATION_FORMAT,
fieldDelim);
if (rowChild.getChildCount() >= 2) {
String fieldEscape = unescapeSQLString(rowChild.getChild(1)
.getText());
tblDesc.getProperties().setProperty(serdeConstants.ESCAPE_CHAR,
fieldEscape);
}
break;
case HiveParser.TOK_TABLEROWFORMATCOLLITEMS:
tblDesc.getProperties().setProperty(serdeConstants.COLLECTION_DELIM,
unescapeSQLString(rowChild.getChild(0).getText()));
break;
case HiveParser.TOK_TABLEROWFORMATMAPKEYS:
tblDesc.getProperties().setProperty(serdeConstants.MAPKEY_DELIM,
unescapeSQLString(rowChild.getChild(0).getText()));
break;
case HiveParser.TOK_TABLEROWFORMATLINES:
String lineDelim = unescapeSQLString(rowChild.getChild(0).getText());
tblDesc.getProperties().setProperty(serdeConstants.LINE_DELIM, lineDelim);
if (!lineDelim.equals("\n") && !lineDelim.equals("10")) {
throw new SemanticException(generateErrorMessage(rowChild,
ErrorMsg.LINES_TERMINATED_BY_NON_NEWLINE.getMsg()));
}
break;
default:
assert false;
}
}
return tblDesc;
}
// should never come here
return null;
}
private void failIfColAliasExists(Set<String> nameSet, String name)
throws SemanticException {
if (nameSet.contains(name)) {
throw new SemanticException(ErrorMsg.COLUMN_ALIAS_ALREADY_EXISTS
.getMsg(name));
}
nameSet.add(name);
}
@SuppressWarnings("nls")
private Operator genScriptPlan(ASTNode trfm, QB qb, Operator input)
throws SemanticException {
// If there is no "AS" clause, the output schema will be "key,value"
ArrayList<ColumnInfo> outputCols = new ArrayList<ColumnInfo>();
int inputSerDeNum = 1, inputRecordWriterNum = 2;
int outputSerDeNum = 4, outputRecordReaderNum = 5;
int outputColsNum = 6;
boolean outputColNames = false, outputColSchemas = false;
int execPos = 3;
boolean defaultOutputCols = false;
// Go over all the children
if (trfm.getChildCount() > outputColsNum) {
ASTNode outCols = (ASTNode) trfm.getChild(outputColsNum);
if (outCols.getType() == HiveParser.TOK_ALIASLIST) {
outputColNames = true;
} else if (outCols.getType() == HiveParser.TOK_TABCOLLIST) {
outputColSchemas = true;
}
}
// If column type is not specified, use a string
if (!outputColNames && !outputColSchemas) {
String intName = getColumnInternalName(0);
ColumnInfo colInfo = new ColumnInfo(intName,
TypeInfoFactory.stringTypeInfo, null, false);
colInfo.setAlias("key");
outputCols.add(colInfo);
intName = getColumnInternalName(1);
colInfo = new ColumnInfo(intName, TypeInfoFactory.stringTypeInfo, null,
false);
colInfo.setAlias("value");
outputCols.add(colInfo);
defaultOutputCols = true;
} else {
ASTNode collist = (ASTNode) trfm.getChild(outputColsNum);
int ccount = collist.getChildCount();
Set<String> colAliasNamesDuplicateCheck = new HashSet<String>();
if (outputColNames) {
for (int i = 0; i < ccount; ++i) {
String colAlias = unescapeIdentifier(((ASTNode) collist.getChild(i))
.getText());
failIfColAliasExists(colAliasNamesDuplicateCheck, colAlias);
String intName = getColumnInternalName(i);
ColumnInfo colInfo = new ColumnInfo(intName,
TypeInfoFactory.stringTypeInfo, null, false);
colInfo.setAlias(colAlias);
outputCols.add(colInfo);
}
} else {
for (int i = 0; i < ccount; ++i) {
ASTNode child = (ASTNode) collist.getChild(i);
assert child.getType() == HiveParser.TOK_TABCOL;
String colAlias = unescapeIdentifier(((ASTNode) child.getChild(0))
.getText());
failIfColAliasExists(colAliasNamesDuplicateCheck, colAlias);
String intName = getColumnInternalName(i);
ColumnInfo colInfo = new ColumnInfo(intName, TypeInfoUtils
.getTypeInfoFromTypeString(getTypeStringFromAST((ASTNode) child
.getChild(1))), null, false);
colInfo.setAlias(colAlias);
outputCols.add(colInfo);
}
}
}
RowResolver out_rwsch = new RowResolver();
StringBuilder columns = new StringBuilder();
StringBuilder columnTypes = new StringBuilder();
for (int i = 0; i < outputCols.size(); ++i) {
if (i != 0) {
columns.append(",");
columnTypes.append(",");
}
columns.append(outputCols.get(i).getInternalName());
columnTypes.append(outputCols.get(i).getType().getTypeName());
out_rwsch.put(qb.getParseInfo().getAlias(), outputCols.get(i).getAlias(),
outputCols.get(i));
}
StringBuilder inpColumns = new StringBuilder();
StringBuilder inpColumnTypes = new StringBuilder();
ArrayList<ColumnInfo> inputSchema = opParseCtx.get(input).getRowResolver()
.getColumnInfos();
for (int i = 0; i < inputSchema.size(); ++i) {
if (i != 0) {
inpColumns.append(",");
inpColumnTypes.append(",");
}
inpColumns.append(inputSchema.get(i).getInternalName());
inpColumnTypes.append(inputSchema.get(i).getType().getTypeName());
}
TableDesc outInfo;
TableDesc errInfo;
TableDesc inInfo;
String defaultSerdeName = conf.getVar(HiveConf.ConfVars.HIVESCRIPTSERDE);
Class<? extends Deserializer> serde;
try {
serde = (Class<? extends Deserializer>) Class.forName(defaultSerdeName,
true, JavaUtils.getClassLoader());
} catch (ClassNotFoundException e) {
throw new SemanticException(e);
}
int fieldSeparator = Utilities.tabCode;
if (HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVESCRIPTESCAPE)) {
fieldSeparator = Utilities.ctrlaCode;
}
// Input and Output Serdes
if (trfm.getChild(inputSerDeNum).getChildCount() > 0) {
inInfo = getTableDescFromSerDe((ASTNode) (((ASTNode) trfm
.getChild(inputSerDeNum))).getChild(0), inpColumns.toString(),
inpColumnTypes.toString(), false);
} else {
inInfo = PlanUtils.getTableDesc(serde, Integer
.toString(fieldSeparator), inpColumns.toString(), inpColumnTypes
.toString(), false, true);
}
if (trfm.getChild(outputSerDeNum).getChildCount() > 0) {
outInfo = getTableDescFromSerDe((ASTNode) (((ASTNode) trfm
.getChild(outputSerDeNum))).getChild(0), columns.toString(),
columnTypes.toString(), false);
// This is for backward compatibility. If the user did not specify the
// output column list, we assume that there are 2 columns: key and value.
// However, if the script outputs: col1, col2, col3 seperated by TAB, the
// requirement is: key is col and value is (col2 TAB col3)
} else {
outInfo = PlanUtils.getTableDesc(serde, Integer
.toString(fieldSeparator), columns.toString(), columnTypes
.toString(), defaultOutputCols);
}
// Error stream always uses the default serde with a single column
errInfo = PlanUtils.getTableDesc(serde, Integer.toString(Utilities.tabCode), "KEY");
// Output record readers
Class<? extends RecordReader> outRecordReader = getRecordReader((ASTNode) trfm
.getChild(outputRecordReaderNum));
Class<? extends RecordWriter> inRecordWriter = getRecordWriter((ASTNode) trfm
.getChild(inputRecordWriterNum));
Class<? extends RecordReader> errRecordReader = getDefaultRecordReader();
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(
new ScriptDesc(
fetchFilesNotInLocalFilesystem(stripQuotes(trfm.getChild(execPos).getText())),
inInfo, inRecordWriter, outInfo, outRecordReader, errRecordReader, errInfo),
new RowSchema(out_rwsch.getColumnInfos()), input), out_rwsch);
return output;
}
private Class<? extends RecordReader> getRecordReader(ASTNode node)
throws SemanticException {
String name;
if (node.getChildCount() == 0) {
name = conf.getVar(HiveConf.ConfVars.HIVESCRIPTRECORDREADER);
} else {
name = unescapeSQLString(node.getChild(0).getText());
}
try {
return (Class<? extends RecordReader>) Class.forName(name, true,
JavaUtils.getClassLoader());
} catch (ClassNotFoundException e) {
throw new SemanticException(e);
}
}
private Class<? extends RecordReader> getDefaultRecordReader()
throws SemanticException {
String name;
name = conf.getVar(HiveConf.ConfVars.HIVESCRIPTRECORDREADER);
try {
return (Class<? extends RecordReader>) Class.forName(name, true,
JavaUtils.getClassLoader());
} catch (ClassNotFoundException e) {
throw new SemanticException(e);
}
}
private Class<? extends RecordWriter> getRecordWriter(ASTNode node)
throws SemanticException {
String name;
if (node.getChildCount() == 0) {
name = conf.getVar(HiveConf.ConfVars.HIVESCRIPTRECORDWRITER);
} else {
name = unescapeSQLString(node.getChild(0).getText());
}
try {
return (Class<? extends RecordWriter>) Class.forName(name, true,
JavaUtils.getClassLoader());
} catch (ClassNotFoundException e) {
throw new SemanticException(e);
}
}
private List<Integer> getGroupingSetsForRollup(int size) {
List<Integer> groupingSetKeys = new ArrayList<Integer>();
for (int i = 0; i <= size; i++) {
groupingSetKeys.add((1 << i) - 1);
}
return groupingSetKeys;
}
private List<Integer> getGroupingSetsForCube(int size) {
int count = 1 << size;
List<Integer> results = new ArrayList<Integer>(count);
for (int i = 0; i < count; ++i) {
results.add(i);
}
return results;
}
// This function returns the grouping sets along with the grouping expressions
// Even if rollups and cubes are present in the query, they are converted to
// grouping sets at this point
private ObjectPair<List<ASTNode>, List<Integer>> getGroupByGroupingSetsForClause(
QBParseInfo parseInfo, String dest) throws SemanticException {
List<Integer> groupingSets = new ArrayList<Integer>();
List<ASTNode> groupByExprs = getGroupByForClause(parseInfo, dest);
if (parseInfo.getDestRollups().contains(dest)) {
groupingSets = getGroupingSetsForRollup(groupByExprs.size());
} else if (parseInfo.getDestCubes().contains(dest)) {
groupingSets = getGroupingSetsForCube(groupByExprs.size());
} else if (parseInfo.getDestGroupingSets().contains(dest)) {
groupingSets = getGroupingSets(groupByExprs, parseInfo, dest);
}
return new ObjectPair<List<ASTNode>, List<Integer>>(groupByExprs, groupingSets);
}
private List<Integer> getGroupingSets(List<ASTNode> groupByExpr, QBParseInfo parseInfo,
String dest) throws SemanticException {
Map<String, Integer> exprPos = new HashMap<String, Integer>();
for (int i = 0; i < groupByExpr.size(); ++i) {
ASTNode node = groupByExpr.get(i);
exprPos.put(node.toStringTree(), i);
}
ASTNode root = parseInfo.getGroupByForClause(dest);
List<Integer> result = new ArrayList<Integer>(root == null ? 0 : root.getChildCount());
if (root != null) {
for (int i = 0; i < root.getChildCount(); ++i) {
ASTNode child = (ASTNode) root.getChild(i);
if (child.getType() != HiveParser.TOK_GROUPING_SETS_EXPRESSION) {
continue;
}
int bitmap = 0;
for (int j = 0; j < child.getChildCount(); ++j) {
String treeAsString = child.getChild(j).toStringTree();
Integer pos = exprPos.get(treeAsString);
if (pos == null) {
throw new SemanticException(
generateErrorMessage((ASTNode) child.getChild(j),
ErrorMsg.HIVE_GROUPING_SETS_EXPR_NOT_IN_GROUPBY.getErrorCodedMsg()));
}
bitmap = setBit(bitmap, pos);
}
result.add(bitmap);
}
}
if (checkForNoAggr(result)) {
throw new SemanticException(
ErrorMsg.HIVE_GROUPING_SETS_AGGR_NOFUNC.getMsg());
}
return result;
}
private boolean checkForNoAggr(List<Integer> bitmaps) {
boolean ret = true;
for (int mask : bitmaps) {
ret &= mask == 0;
}
return ret;
}
private int setBit(int bitmap, int bitIdx) {
return bitmap | (1 << bitIdx);
}
/**
* This function is a wrapper of parseInfo.getGroupByForClause which
* automatically translates SELECT DISTINCT a,b,c to SELECT a,b,c GROUP BY
* a,b,c.
*/
static List<ASTNode> getGroupByForClause(QBParseInfo parseInfo, String dest) {
if (parseInfo.getSelForClause(dest).getToken().getType() == HiveParser.TOK_SELECTDI) {
ASTNode selectExprs = parseInfo.getSelForClause(dest);
List<ASTNode> result = new ArrayList<ASTNode>(selectExprs == null ? 0
: selectExprs.getChildCount());
if (selectExprs != null) {
HashMap<String, ASTNode> windowingExprs = parseInfo.getWindowingExprsForClause(dest);
for (int i = 0; i < selectExprs.getChildCount(); ++i) {
if (((ASTNode) selectExprs.getChild(i)).getToken().getType() == HiveParser.TOK_HINTLIST) {
continue;
}
// table.column AS alias
ASTNode grpbyExpr = (ASTNode) selectExprs.getChild(i).getChild(0);
/*
* If this is handled by Windowing then ignore it.
*/
if (windowingExprs != null && windowingExprs.containsKey(grpbyExpr.toStringTree())) {
continue;
}
result.add(grpbyExpr);
}
}
return result;
} else {
ASTNode grpByExprs = parseInfo.getGroupByForClause(dest);
List<ASTNode> result = new ArrayList<ASTNode>(grpByExprs == null ? 0
: grpByExprs.getChildCount());
if (grpByExprs != null) {
for (int i = 0; i < grpByExprs.getChildCount(); ++i) {
ASTNode grpbyExpr = (ASTNode) grpByExprs.getChild(i);
if (grpbyExpr.getType() != HiveParser.TOK_GROUPING_SETS_EXPRESSION) {
result.add(grpbyExpr);
}
}
}
return result;
}
}
private static String[] getColAlias(ASTNode selExpr, String defaultName,
RowResolver inputRR, boolean includeFuncName, int colNum) {
String colAlias = null;
String tabAlias = null;
String[] colRef = new String[2];
//for queries with a windowing expressions, the selexpr may have a third child
if (selExpr.getChildCount() == 2 ||
(selExpr.getChildCount() == 3 &&
selExpr.getChild(2).getType() == HiveParser.TOK_WINDOWSPEC)) {
// return zz for "xx + yy AS zz"
colAlias = unescapeIdentifier(selExpr.getChild(1).getText());
colRef[0] = tabAlias;
colRef[1] = colAlias;
return colRef;
}
ASTNode root = (ASTNode) selExpr.getChild(0);
if (root.getType() == HiveParser.TOK_TABLE_OR_COL) {
colAlias =
BaseSemanticAnalyzer.unescapeIdentifier(root.getChild(0).getText());
colRef[0] = tabAlias;
colRef[1] = colAlias;
return colRef;
}
if (root.getType() == HiveParser.DOT) {
ASTNode tab = (ASTNode) root.getChild(0);
if (tab.getType() == HiveParser.TOK_TABLE_OR_COL) {
String t = unescapeIdentifier(tab.getChild(0).getText());
if (inputRR.hasTableAlias(t)) {
tabAlias = t;
}
}
// Return zz for "xx.zz" and "xx.yy.zz"
ASTNode col = (ASTNode) root.getChild(1);
if (col.getType() == HiveParser.Identifier) {
colAlias = unescapeIdentifier(col.getText());
}
}
// if specified generate alias using func name
if (includeFuncName && (root.getType() == HiveParser.TOK_FUNCTION)) {
String expr_flattened = root.toStringTree();
// remove all TOK tokens
String expr_no_tok = expr_flattened.replaceAll("TOK_\\S+", "");
// remove all non alphanumeric letters, replace whitespace spans with underscore
String expr_formatted = expr_no_tok.replaceAll("\\W", " ").trim().replaceAll("\\s+", "_");
// limit length to 20 chars
if (expr_formatted.length() > AUTOGEN_COLALIAS_PRFX_MAXLENGTH) {
expr_formatted = expr_formatted.substring(0, AUTOGEN_COLALIAS_PRFX_MAXLENGTH);
}
// append colnum to make it unique
colAlias = expr_formatted.concat("_" + colNum);
}
if (colAlias == null) {
// Return defaultName if selExpr is not a simple xx.yy.zz
colAlias = defaultName + colNum;
}
colRef[0] = tabAlias;
colRef[1] = colAlias;
return colRef;
}
/**
* Returns whether the pattern is a regex expression (instead of a normal
* string). Normal string is a string with all alphabets/digits and "_".
*/
private static boolean isRegex(String pattern) {
for (int i = 0; i < pattern.length(); i++) {
if (!Character.isLetterOrDigit(pattern.charAt(i))
&& pattern.charAt(i) != '_') {
return true;
}
}
return false;
}
private Operator<?> genSelectPlan(String dest, QB qb, Operator<?> input)
throws SemanticException {
ASTNode selExprList = qb.getParseInfo().getSelForClause(dest);
Operator<?> op = genSelectPlan(selExprList, qb, input, false);
if (LOG.isDebugEnabled()) {
LOG.debug("Created Select Plan for clause: " + dest);
}
return op;
}
@SuppressWarnings("nls")
private Operator<?> genSelectPlan(ASTNode selExprList, QB qb,
Operator<?> input, boolean outerLV) throws SemanticException {
if (LOG.isDebugEnabled()) {
LOG.debug("tree: " + selExprList.toStringTree());
}
ArrayList<ExprNodeDesc> col_list = new ArrayList<ExprNodeDesc>();
RowResolver out_rwsch = new RowResolver();
ASTNode trfm = null;
Integer pos = Integer.valueOf(0);
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
// SELECT * or SELECT TRANSFORM(*)
boolean selectStar = false;
int posn = 0;
boolean hintPresent = (selExprList.getChild(0).getType() == HiveParser.TOK_HINTLIST);
if (hintPresent) {
posn++;
}
boolean subQuery = qb.getParseInfo().getIsSubQ();
boolean isInTransform = (selExprList.getChild(posn).getChild(0).getType() ==
HiveParser.TOK_TRANSFORM);
if (isInTransform) {
queryProperties.setUsesScript(true);
globalLimitCtx.setHasTransformOrUDTF(true);
trfm = (ASTNode) selExprList.getChild(posn).getChild(0);
}
// Detect queries of the form SELECT udtf(col) AS ...
// by looking for a function as the first child, and then checking to see
// if the function is a Generic UDTF. It's not as clean as TRANSFORM due to
// the lack of a special token.
boolean isUDTF = false;
String udtfTableAlias = null;
ArrayList<String> udtfColAliases = new ArrayList<String>();
ASTNode udtfExpr = (ASTNode) selExprList.getChild(posn).getChild(0);
GenericUDTF genericUDTF = null;
int udtfExprType = udtfExpr.getType();
if (udtfExprType == HiveParser.TOK_FUNCTION
|| udtfExprType == HiveParser.TOK_FUNCTIONSTAR) {
String funcName = TypeCheckProcFactory.DefaultExprProcessor
.getFunctionText(udtfExpr, true);
FunctionInfo fi = FunctionRegistry.getFunctionInfo(funcName);
if (fi != null) {
genericUDTF = fi.getGenericUDTF();
}
isUDTF = (genericUDTF != null);
if (isUDTF) {
globalLimitCtx.setHasTransformOrUDTF(true);
}
if (isUDTF && !fi.isNative()) {
unparseTranslator.addIdentifierTranslation((ASTNode) udtfExpr
.getChild(0));
}
if (isUDTF && (selectStar = udtfExprType == HiveParser.TOK_FUNCTIONSTAR)) {
genColListRegex(".*", null, (ASTNode) udtfExpr.getChild(0),
col_list, inputRR, pos, out_rwsch, qb.getAliases(), subQuery);
}
}
if (isUDTF) {
// Only support a single expression when it's a UDTF
if (selExprList.getChildCount() > 1) {
throw new SemanticException(generateErrorMessage(
(ASTNode) selExprList.getChild(1),
ErrorMsg.UDTF_MULTIPLE_EXPR.getMsg()));
}
ASTNode selExpr = (ASTNode) selExprList.getChild(posn);
// Get the column / table aliases from the expression. Start from 1 as
// 0 is the TOK_FUNCTION
// column names also can be inferred from result of UDTF
for (int i = 1; i < selExpr.getChildCount(); i++) {
ASTNode selExprChild = (ASTNode) selExpr.getChild(i);
switch (selExprChild.getType()) {
case HiveParser.Identifier:
udtfColAliases.add(unescapeIdentifier(selExprChild.getText()));
unparseTranslator.addIdentifierTranslation(selExprChild);
break;
case HiveParser.TOK_TABALIAS:
assert (selExprChild.getChildCount() == 1);
udtfTableAlias = unescapeIdentifier(selExprChild.getChild(0)
.getText());
qb.addAlias(udtfTableAlias);
unparseTranslator.addIdentifierTranslation((ASTNode) selExprChild
.getChild(0));
break;
default:
assert (false);
}
}
if (LOG.isDebugEnabled()) {
LOG.debug("UDTF table alias is " + udtfTableAlias);
LOG.debug("UDTF col aliases are " + udtfColAliases);
}
}
// The list of expressions after SELECT or SELECT TRANSFORM.
ASTNode exprList;
if (isInTransform) {
exprList = (ASTNode) trfm.getChild(0);
} else if (isUDTF) {
exprList = udtfExpr;
} else {
exprList = selExprList;
}
if (LOG.isDebugEnabled()) {
LOG.debug("genSelectPlan: input = " + inputRR.toString());
}
// For UDTF's, skip the function name to get the expressions
int startPosn = isUDTF ? posn + 1 : posn;
if (isInTransform) {
startPosn = 0;
}
// Iterate over all expression (either after SELECT, or in SELECT TRANSFORM)
for (int i = startPosn; i < exprList.getChildCount(); ++i) {
// child can be EXPR AS ALIAS, or EXPR.
ASTNode child = (ASTNode) exprList.getChild(i);
boolean hasAsClause = (!isInTransform) && (child.getChildCount() == 2);
boolean isWindowSpec = child.getChildCount() == 3 ?
(child.getChild(2).getType() == HiveParser.TOK_WINDOWSPEC) :
false;
// EXPR AS (ALIAS,...) parses, but is only allowed for UDTF's
// This check is not needed and invalid when there is a transform b/c the
// AST's are slightly different.
if (!isWindowSpec && !isInTransform && !isUDTF && child.getChildCount() > 2) {
throw new SemanticException(generateErrorMessage(
(ASTNode) child.getChild(2),
ErrorMsg.INVALID_AS.getMsg()));
}
// The real expression
ASTNode expr;
String tabAlias;
String colAlias;
if (isInTransform || isUDTF) {
tabAlias = null;
colAlias = autogenColAliasPrfxLbl + i;
expr = child;
} else {
// Get rid of TOK_SELEXPR
expr = (ASTNode) child.getChild(0);
String[] colRef = getColAlias(child, autogenColAliasPrfxLbl, inputRR,
autogenColAliasPrfxIncludeFuncName, i);
tabAlias = colRef[0];
colAlias = colRef[1];
if (hasAsClause) {
unparseTranslator.addIdentifierTranslation((ASTNode) child
.getChild(1));
}
}
if (expr.getType() == HiveParser.TOK_ALLCOLREF) {
pos = genColListRegex(".*", expr.getChildCount() == 0 ? null
: getUnescapedName((ASTNode) expr.getChild(0)).toLowerCase(),
expr, col_list, inputRR, pos, out_rwsch, qb.getAliases(), subQuery);
selectStar = true;
} else if (expr.getType() == HiveParser.TOK_TABLE_OR_COL && !hasAsClause
&& !inputRR.getIsExprResolver()
&& isRegex(unescapeIdentifier(expr.getChild(0).getText()))) {
// In case the expression is a regex COL.
// This can only happen without AS clause
// We don't allow this for ExprResolver - the Group By case
pos = genColListRegex(unescapeIdentifier(expr.getChild(0).getText()),
null, expr, col_list, inputRR, pos, out_rwsch, qb.getAliases(), subQuery);
} else if (expr.getType() == HiveParser.DOT
&& expr.getChild(0).getType() == HiveParser.TOK_TABLE_OR_COL
&& inputRR.hasTableAlias(unescapeIdentifier(expr.getChild(0)
.getChild(0).getText().toLowerCase())) && !hasAsClause
&& !inputRR.getIsExprResolver()
&& isRegex(unescapeIdentifier(expr.getChild(1).getText()))) {
// In case the expression is TABLE.COL (col can be regex).
// This can only happen without AS clause
// We don't allow this for ExprResolver - the Group By case
pos = genColListRegex(unescapeIdentifier(expr.getChild(1).getText()),
unescapeIdentifier(expr.getChild(0).getChild(0).getText()
.toLowerCase()), expr, col_list, inputRR, pos, out_rwsch,
qb.getAliases(), subQuery);
} else {
// Case when this is an expression
TypeCheckCtx tcCtx = new TypeCheckCtx(inputRR);
// We allow stateful functions in the SELECT list (but nowhere else)
tcCtx.setAllowStatefulFunctions(true);
ExprNodeDesc exp = genExprNodeDesc(expr, inputRR, tcCtx);
String recommended = recommendName(exp, colAlias);
if (recommended != null && out_rwsch.get(null, recommended) == null) {
colAlias = recommended;
}
col_list.add(exp);
if (subQuery) {
out_rwsch.checkColumn(tabAlias, colAlias);
}
ColumnInfo colInfo = new ColumnInfo(getColumnInternalName(pos),
exp.getWritableObjectInspector(), tabAlias, false);
colInfo.setSkewedCol((exp instanceof ExprNodeColumnDesc) ? ((ExprNodeColumnDesc) exp)
.isSkewedCol() : false);
out_rwsch.put(tabAlias, colAlias, colInfo);
pos = Integer.valueOf(pos.intValue() + 1);
}
}
selectStar = selectStar && exprList.getChildCount() == posn + 1;
ArrayList<String> columnNames = new ArrayList<String>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
for (int i = 0; i < col_list.size(); i++) {
// Replace NULL with CAST(NULL AS STRING)
if (col_list.get(i) instanceof ExprNodeNullDesc) {
col_list.set(i, new ExprNodeConstantDesc(
TypeInfoFactory.stringTypeInfo, null));
}
String outputCol = getColumnInternalName(i);
colExprMap.put(outputCol, col_list.get(i));
columnNames.add(outputCol);
}
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(
new SelectDesc(col_list, columnNames, selectStar), new RowSchema(
out_rwsch.getColumnInfos()), input), out_rwsch);
output.setColumnExprMap(colExprMap);
if (isInTransform) {
output = genScriptPlan(trfm, qb, output);
}
if (isUDTF) {
output = genUDTFPlan(genericUDTF, udtfTableAlias, udtfColAliases, qb,
output, outerLV);
}
if (LOG.isDebugEnabled()) {
LOG.debug("Created Select Plan row schema: " + out_rwsch.toString());
}
return output;
}
private String recommendName(ExprNodeDesc exp, String colAlias) {
if (!colAlias.startsWith(autogenColAliasPrfxLbl)) {
return null;
}
String column = ExprNodeDescUtils.recommendInputName(exp);
if (column != null && !column.startsWith(autogenColAliasPrfxLbl)) {
return column;
}
return null;
}
/**
* Class to store GenericUDAF related information.
*/
static class GenericUDAFInfo {
ArrayList<ExprNodeDesc> convertedParameters;
GenericUDAFEvaluator genericUDAFEvaluator;
TypeInfo returnType;
}
/**
* Convert exprNodeDesc array to Typeinfo array.
*/
static ArrayList<TypeInfo> getTypeInfo(ArrayList<ExprNodeDesc> exprs) {
ArrayList<TypeInfo> result = new ArrayList<TypeInfo>();
for (ExprNodeDesc expr : exprs) {
result.add(expr.getTypeInfo());
}
return result;
}
/**
* Convert exprNodeDesc array to ObjectInspector array.
*/
static ArrayList<ObjectInspector> getWritableObjectInspector(ArrayList<ExprNodeDesc> exprs) {
ArrayList<ObjectInspector> result = new ArrayList<ObjectInspector>();
for (ExprNodeDesc expr : exprs) {
result.add(expr.getWritableObjectInspector());
}
return result;
}
/**
* Convert exprNodeDesc array to Typeinfo array.
*/
static ObjectInspector[] getStandardObjectInspector(ArrayList<TypeInfo> exprs) {
ObjectInspector[] result = new ObjectInspector[exprs.size()];
for (int i = 0; i < exprs.size(); i++) {
result[i] = TypeInfoUtils
.getStandardWritableObjectInspectorFromTypeInfo(exprs.get(i));
}
return result;
}
/**
* Returns the GenericUDAFEvaluator for the aggregation. This is called once
* for each GroupBy aggregation.
*/
static GenericUDAFEvaluator getGenericUDAFEvaluator(String aggName,
ArrayList<ExprNodeDesc> aggParameters, ASTNode aggTree,
boolean isDistinct, boolean isAllColumns)
throws SemanticException {
ArrayList<ObjectInspector> originalParameterTypeInfos =
getWritableObjectInspector(aggParameters);
GenericUDAFEvaluator result = FunctionRegistry.getGenericUDAFEvaluator(
aggName, originalParameterTypeInfos, isDistinct, isAllColumns);
if (null == result) {
String reason = "Looking for UDAF Evaluator\"" + aggName
+ "\" with parameters " + originalParameterTypeInfos;
throw new SemanticException(ErrorMsg.INVALID_FUNCTION_SIGNATURE.getMsg(
(ASTNode) aggTree.getChild(0), reason));
}
return result;
}
/**
* Returns the GenericUDAFInfo struct for the aggregation.
*
* @param aggName
* The name of the UDAF.
* @param aggParameters
* The exprNodeDesc of the original parameters
* @param aggTree
* The ASTNode node of the UDAF in the query.
* @return GenericUDAFInfo
* @throws SemanticException
* when the UDAF is not found or has problems.
*/
static GenericUDAFInfo getGenericUDAFInfo(GenericUDAFEvaluator evaluator,
GenericUDAFEvaluator.Mode emode, ArrayList<ExprNodeDesc> aggParameters)
throws SemanticException {
GenericUDAFInfo r = new GenericUDAFInfo();
// set r.genericUDAFEvaluator
r.genericUDAFEvaluator = evaluator;
// set r.returnType
ObjectInspector returnOI = null;
try {
ArrayList<ObjectInspector> aggOIs = getWritableObjectInspector(aggParameters);
ObjectInspector[] aggOIArray = new ObjectInspector[aggOIs.size()];
for (int ii = 0; ii < aggOIs.size(); ++ii) {
aggOIArray[ii] = aggOIs.get(ii);
}
returnOI = r.genericUDAFEvaluator.init(emode, aggOIArray);
r.returnType = TypeInfoUtils.getTypeInfoFromObjectInspector(returnOI);
} catch (HiveException e) {
throw new SemanticException(e);
}
// set r.convertedParameters
// TODO: type conversion
r.convertedParameters = aggParameters;
return r;
}
private static GenericUDAFEvaluator.Mode groupByDescModeToUDAFMode(
GroupByDesc.Mode mode, boolean isDistinct) {
switch (mode) {
case COMPLETE:
return GenericUDAFEvaluator.Mode.COMPLETE;
case PARTIAL1:
return GenericUDAFEvaluator.Mode.PARTIAL1;
case PARTIAL2:
return GenericUDAFEvaluator.Mode.PARTIAL2;
case PARTIALS:
return isDistinct ? GenericUDAFEvaluator.Mode.PARTIAL1
: GenericUDAFEvaluator.Mode.PARTIAL2;
case FINAL:
return GenericUDAFEvaluator.Mode.FINAL;
case HASH:
return GenericUDAFEvaluator.Mode.PARTIAL1;
case MERGEPARTIAL:
return isDistinct ? GenericUDAFEvaluator.Mode.COMPLETE
: GenericUDAFEvaluator.Mode.FINAL;
default:
throw new RuntimeException("internal error in groupByDescModeToUDAFMode");
}
}
/**
* Check if the given internalName represents a constant parameter in aggregation parameters
* of an aggregation tree.
* This method is only invoked when map-side aggregation is not involved. In this case,
* every parameter in every aggregation tree should already have a corresponding ColumnInfo,
* which is generated when the corresponding ReduceSinkOperator of the GroupByOperator being
* generating is generated. If we find that this parameter is a constant parameter,
* we will return the corresponding ExprNodeDesc in reduceValues, and we will not need to
* use a new ExprNodeColumnDesc, which can not be treated as a constant parameter, for this
* parameter (since the writableObjectInspector of a ExprNodeColumnDesc will not be
* a instance of ConstantObjectInspector).
*
* @param reduceValues
* value columns of the corresponding ReduceSinkOperator
* @param internalName
* the internal name of this parameter
* @return the ExprNodeDesc of the constant parameter if the given internalName represents
* a constant parameter; otherwise, return null
*/
private ExprNodeDesc isConstantParameterInAggregationParameters(String internalName,
List<ExprNodeDesc> reduceValues) {
// only the pattern of "VALUE._col([0-9]+)" should be handled.
String[] terms = internalName.split("\\.");
if (terms.length != 2 || reduceValues == null) {
return null;
}
if (Utilities.ReduceField.VALUE.toString().equals(terms[0])) {
int pos = getPositionFromInternalName(terms[1]);
if (pos >= 0 && pos < reduceValues.size()) {
ExprNodeDesc reduceValue = reduceValues.get(pos);
if (reduceValue != null) {
if (reduceValue.getWritableObjectInspector() instanceof ConstantObjectInspector) {
// this internalName represents a constant parameter in aggregation parameters
return reduceValue;
}
}
}
}
return null;
}
/**
* Generate the GroupByOperator for the Query Block (parseInfo.getXXX(dest)).
* The new GroupByOperator will be a child of the reduceSinkOperatorInfo.
*
* @param mode
* The mode of the aggregation (PARTIAL1 or COMPLETE)
* @param genericUDAFEvaluators
* If not null, this function will store the mapping from Aggregation
* StringTree to the genericUDAFEvaluator in this parameter, so it
* can be used in the next-stage GroupBy aggregations.
* @return the new GroupByOperator
*/
@SuppressWarnings("nls")
private Operator genGroupByPlanGroupByOperator(QBParseInfo parseInfo,
String dest, Operator input, ReduceSinkOperator rs, GroupByDesc.Mode mode,
Map<String, GenericUDAFEvaluator> genericUDAFEvaluators)
throws SemanticException {
RowResolver groupByInputRowResolver = opParseCtx
.get(input).getRowResolver();
RowResolver groupByOutputRowResolver = new RowResolver();
groupByOutputRowResolver.setIsExprResolver(true);
ArrayList<ExprNodeDesc> groupByKeys = new ArrayList<ExprNodeDesc>();
ArrayList<AggregationDesc> aggregations = new ArrayList<AggregationDesc>();
ArrayList<String> outputColumnNames = new ArrayList<String>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
List<ASTNode> grpByExprs = getGroupByForClause(parseInfo, dest);
for (int i = 0; i < grpByExprs.size(); ++i) {
ASTNode grpbyExpr = grpByExprs.get(i);
ColumnInfo exprInfo = groupByInputRowResolver.getExpression(grpbyExpr);
if (exprInfo == null) {
throw new SemanticException(ErrorMsg.INVALID_COLUMN.getMsg(grpbyExpr));
}
groupByKeys.add(new ExprNodeColumnDesc(exprInfo.getType(), exprInfo
.getInternalName(), "", false));
String field = getColumnInternalName(i);
outputColumnNames.add(field);
groupByOutputRowResolver.putExpression(grpbyExpr,
new ColumnInfo(field, exprInfo.getType(), null, false));
colExprMap.put(field, groupByKeys.get(groupByKeys.size() - 1));
}
// For each aggregation
HashMap<String, ASTNode> aggregationTrees = parseInfo
.getAggregationExprsForClause(dest);
assert (aggregationTrees != null);
// get the last colName for the reduce KEY
// it represents the column name corresponding to distinct aggr, if any
String lastKeyColName = null;
List<String> inputKeyCols = ((ReduceSinkDesc) rs.getConf()).getOutputKeyColumnNames();
if (inputKeyCols.size() > 0) {
lastKeyColName = inputKeyCols.get(inputKeyCols.size() - 1);
}
List<ExprNodeDesc> reduceValues = ((ReduceSinkDesc) rs.getConf()).getValueCols();
int numDistinctUDFs = 0;
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
ASTNode value = entry.getValue();
// This is the GenericUDAF name
String aggName = unescapeIdentifier(value.getChild(0).getText());
boolean isDistinct = value.getType() == HiveParser.TOK_FUNCTIONDI;
boolean isAllColumns = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
// Convert children to aggParameters
ArrayList<ExprNodeDesc> aggParameters = new ArrayList<ExprNodeDesc>();
// 0 is the function name
for (int i = 1; i < value.getChildCount(); i++) {
ASTNode paraExpr = (ASTNode) value.getChild(i);
ColumnInfo paraExprInfo =
groupByInputRowResolver.getExpression(paraExpr);
if (paraExprInfo == null) {
throw new SemanticException(ErrorMsg.INVALID_COLUMN.getMsg(paraExpr));
}
String paraExpression = paraExprInfo.getInternalName();
assert (paraExpression != null);
if (isDistinct && lastKeyColName != null) {
// if aggr is distinct, the parameter is name is constructed as
// KEY.lastKeyColName:<tag>._colx
paraExpression = Utilities.ReduceField.KEY.name() + "." +
lastKeyColName + ":" + numDistinctUDFs + "." +
getColumnInternalName(i - 1);
}
ExprNodeDesc expr = new ExprNodeColumnDesc(paraExprInfo.getType(),
paraExpression, paraExprInfo.getTabAlias(),
paraExprInfo.getIsVirtualCol());
ExprNodeDesc reduceValue = isConstantParameterInAggregationParameters(
paraExprInfo.getInternalName(), reduceValues);
if (reduceValue != null) {
// this parameter is a constant
expr = reduceValue;
}
aggParameters.add(expr);
}
if (isDistinct) {
numDistinctUDFs++;
}
Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
GenericUDAFEvaluator genericUDAFEvaluator = getGenericUDAFEvaluator(
aggName, aggParameters, value, isDistinct, isAllColumns);
assert (genericUDAFEvaluator != null);
GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
aggParameters);
aggregations.add(new AggregationDesc(aggName.toLowerCase(),
udaf.genericUDAFEvaluator, udaf.convertedParameters, isDistinct,
amode));
String field = getColumnInternalName(groupByKeys.size()
+ aggregations.size() - 1);
outputColumnNames.add(field);
groupByOutputRowResolver.putExpression(value, new ColumnInfo(
field, udaf.returnType, "", false));
// Save the evaluator so that it can be used by the next-stage
// GroupByOperators
if (genericUDAFEvaluators != null) {
genericUDAFEvaluators.put(entry.getKey(), genericUDAFEvaluator);
}
}
float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
float memoryThreshold = HiveConf
.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
false, groupByMemoryUsage, memoryThreshold, null, false, 0, numDistinctUDFs > 0),
new RowSchema(groupByOutputRowResolver.getColumnInfos()),
input), groupByOutputRowResolver);
op.setColumnExprMap(colExprMap);
return op;
}
// Add the grouping set key to the group by operator.
// This is not the first group by operator, but it is a subsequent group by operator
// which is forwarding the grouping keys introduced by the grouping sets.
// For eg: consider: select key, value, count(1) from T group by key, value with rollup.
// Assuming map-side aggregation and no skew, the plan would look like:
//
// TableScan --> Select --> GroupBy1 --> ReduceSink --> GroupBy2 --> Select --> FileSink
//
// This function is called for GroupBy2 to pass the additional grouping keys introduced by
// GroupBy1 for the grouping set (corresponding to the rollup).
private void addGroupingSetKey(List<ExprNodeDesc> groupByKeys,
RowResolver groupByInputRowResolver,
RowResolver groupByOutputRowResolver,
List<String> outputColumnNames,
Map<String, ExprNodeDesc> colExprMap) throws SemanticException {
// For grouping sets, add a dummy grouping key
String groupingSetColumnName =
groupByInputRowResolver.get(null, VirtualColumn.GROUPINGID.getName()).getInternalName();
ExprNodeDesc inputExpr = new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo,
groupingSetColumnName, null, false);
groupByKeys.add(inputExpr);
String field = getColumnInternalName(groupByKeys.size() - 1);
outputColumnNames.add(field);
groupByOutputRowResolver.put(null, VirtualColumn.GROUPINGID.getName(),
new ColumnInfo(
field,
TypeInfoFactory.stringTypeInfo,
null,
true));
colExprMap.put(field, groupByKeys.get(groupByKeys.size() - 1));
}
// Process grouping set for the reduce sink operator
// For eg: consider: select key, value, count(1) from T group by key, value with rollup.
// Assuming map-side aggregation and no skew, the plan would look like:
//
// TableScan --> Select --> GroupBy1 --> ReduceSink --> GroupBy2 --> Select --> FileSink
//
// This function is called for ReduceSink to add the additional grouping keys introduced by
// GroupBy1 into the reduce keys.
private void processGroupingSetReduceSinkOperator(RowResolver reduceSinkInputRowResolver,
RowResolver reduceSinkOutputRowResolver,
List<ExprNodeDesc> reduceKeys,
List<String> outputKeyColumnNames,
Map<String, ExprNodeDesc> colExprMap) throws SemanticException {
// add a key for reduce sink
String groupingSetColumnName =
reduceSinkInputRowResolver.get(null, VirtualColumn.GROUPINGID.getName()).getInternalName();
ExprNodeDesc inputExpr = new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo,
groupingSetColumnName, null, false);
reduceKeys.add(inputExpr);
outputKeyColumnNames.add(getColumnInternalName(reduceKeys.size() - 1));
String field = Utilities.ReduceField.KEY.toString() + "."
+ getColumnInternalName(reduceKeys.size() - 1);
ColumnInfo colInfo = new ColumnInfo(field, reduceKeys.get(
reduceKeys.size() - 1).getTypeInfo(), null, true);
reduceSinkOutputRowResolver.put(null, VirtualColumn.GROUPINGID.getName(), colInfo);
colExprMap.put(colInfo.getInternalName(), inputExpr);
}
/**
* Generate the GroupByOperator for the Query Block (parseInfo.getXXX(dest)).
* The new GroupByOperator will be a child of the reduceSinkOperatorInfo.
*
* @param mode
* The mode of the aggregation (MERGEPARTIAL, PARTIAL2)
* @param genericUDAFEvaluators
* The mapping from Aggregation StringTree to the
* genericUDAFEvaluator.
* @param distPartAggr
* partial aggregation for distincts
* @param groupingSets
* list of grouping sets
* @param groupingSetsPresent
* whether grouping sets are present in this query
* @param groupingSetsConsumedCurrentMR
* whether grouping sets are consumed by this group by
* @return the new GroupByOperator
*/
@SuppressWarnings("nls")
private Operator genGroupByPlanGroupByOperator1(QBParseInfo parseInfo,
String dest, Operator reduceSinkOperatorInfo, GroupByDesc.Mode mode,
Map<String, GenericUDAFEvaluator> genericUDAFEvaluators,
boolean distPartAgg,
List<Integer> groupingSets,
boolean groupingSetsPresent,
boolean groupingSetsNeedAdditionalMRJob) throws SemanticException {
ArrayList<String> outputColumnNames = new ArrayList<String>();
RowResolver groupByInputRowResolver = opParseCtx
.get(reduceSinkOperatorInfo).getRowResolver();
RowResolver groupByOutputRowResolver = new RowResolver();
groupByOutputRowResolver.setIsExprResolver(true);
ArrayList<ExprNodeDesc> groupByKeys = new ArrayList<ExprNodeDesc>();
ArrayList<AggregationDesc> aggregations = new ArrayList<AggregationDesc>();
List<ASTNode> grpByExprs = getGroupByForClause(parseInfo, dest);
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
for (int i = 0; i < grpByExprs.size(); ++i) {
ASTNode grpbyExpr = grpByExprs.get(i);
ColumnInfo exprInfo = groupByInputRowResolver.getExpression(grpbyExpr);
if (exprInfo == null) {
throw new SemanticException(ErrorMsg.INVALID_COLUMN.getMsg(grpbyExpr));
}
groupByKeys.add(new ExprNodeColumnDesc(exprInfo.getType(), exprInfo
.getInternalName(), exprInfo.getTabAlias(), exprInfo
.getIsVirtualCol()));
String field = getColumnInternalName(i);
outputColumnNames.add(field);
groupByOutputRowResolver.putExpression(grpbyExpr,
new ColumnInfo(field, exprInfo.getType(), "", false));
colExprMap.put(field, groupByKeys.get(groupByKeys.size() - 1));
}
// This is only needed if a new grouping set key is being created
int groupingSetsPosition = 0;
// For grouping sets, add a dummy grouping key
if (groupingSetsPresent) {
// Consider the query: select a,b, count(1) from T group by a,b with cube;
// where it is being executed in a single map-reduce job
// The plan is TableScan -> GroupBy1 -> ReduceSink -> GroupBy2 -> FileSink
// GroupBy1 already added the grouping id as part of the row
// This function is called for GroupBy2 to add grouping id as part of the groupby keys
if (!groupingSetsNeedAdditionalMRJob) {
addGroupingSetKey(
groupByKeys,
groupByInputRowResolver,
groupByOutputRowResolver,
outputColumnNames,
colExprMap);
}
else {
groupingSetsPosition = groupByKeys.size();
// The grouping set has not yet been processed. Create a new grouping key
// Consider the query: select a,b, count(1) from T group by a,b with cube;
// where it is being executed in 2 map-reduce jobs
// The plan for 1st MR is TableScan -> GroupBy1 -> ReduceSink -> GroupBy2 -> FileSink
// GroupBy1/ReduceSink worked as if grouping sets were not present
// This function is called for GroupBy2 to create new rows for grouping sets
// For each input row (a,b), 4 rows are created for the example above:
// (a,b), (a,null), (null, b), (null, null)
createNewGroupingKey(groupByKeys,
outputColumnNames,
groupByOutputRowResolver,
colExprMap);
}
}
HashMap<String, ASTNode> aggregationTrees = parseInfo
.getAggregationExprsForClause(dest);
// get the last colName for the reduce KEY
// it represents the column name corresponding to distinct aggr, if any
String lastKeyColName = null;
List<ExprNodeDesc> reduceValues = null;
if (reduceSinkOperatorInfo.getConf() instanceof ReduceSinkDesc) {
List<String> inputKeyCols = ((ReduceSinkDesc)
reduceSinkOperatorInfo.getConf()).getOutputKeyColumnNames();
if (inputKeyCols.size() > 0) {
lastKeyColName = inputKeyCols.get(inputKeyCols.size() - 1);
}
reduceValues = ((ReduceSinkDesc) reduceSinkOperatorInfo.getConf()).getValueCols();
}
int numDistinctUDFs = 0;
boolean containsDistinctAggr = false;
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
ASTNode value = entry.getValue();
String aggName = unescapeIdentifier(value.getChild(0).getText());
ArrayList<ExprNodeDesc> aggParameters = new ArrayList<ExprNodeDesc>();
boolean isDistinct = (value.getType() == HiveParser.TOK_FUNCTIONDI);
containsDistinctAggr = containsDistinctAggr || isDistinct;
// If the function is distinct, partial aggregation has not been done on
// the client side.
// If distPartAgg is set, the client is letting us know that partial
// aggregation has not been done.
// For eg: select a, count(b+c), count(distinct d+e) group by a
// For count(b+c), if partial aggregation has been performed, then we
// directly look for count(b+c).
// Otherwise, we look for b+c.
// For distincts, partial aggregation is never performed on the client
// side, so always look for the parameters: d+e
boolean partialAggDone = !(distPartAgg || isDistinct);
if (!partialAggDone) {
// 0 is the function name
for (int i = 1; i < value.getChildCount(); i++) {
ASTNode paraExpr = (ASTNode) value.getChild(i);
ColumnInfo paraExprInfo =
groupByInputRowResolver.getExpression(paraExpr);
if (paraExprInfo == null) {
throw new SemanticException(ErrorMsg.INVALID_COLUMN
.getMsg(paraExpr));
}
String paraExpression = paraExprInfo.getInternalName();
assert (paraExpression != null);
if (isDistinct && lastKeyColName != null) {
// if aggr is distinct, the parameter is name is constructed as
// KEY.lastKeyColName:<tag>._colx
paraExpression = Utilities.ReduceField.KEY.name() + "." +
lastKeyColName + ":" + numDistinctUDFs + "."
+ getColumnInternalName(i - 1);
}
ExprNodeDesc expr = new ExprNodeColumnDesc(paraExprInfo.getType(),
paraExpression, paraExprInfo.getTabAlias(),
paraExprInfo.getIsVirtualCol());
ExprNodeDesc reduceValue = isConstantParameterInAggregationParameters(
paraExprInfo.getInternalName(), reduceValues);
if (reduceValue != null) {
// this parameter is a constant
expr = reduceValue;
}
aggParameters.add(expr);
}
} else {
ColumnInfo paraExprInfo = groupByInputRowResolver.getExpression(value);
if (paraExprInfo == null) {
throw new SemanticException(ErrorMsg.INVALID_COLUMN.getMsg(value));
}
String paraExpression = paraExprInfo.getInternalName();
assert (paraExpression != null);
aggParameters.add(new ExprNodeColumnDesc(paraExprInfo.getType(),
paraExpression, paraExprInfo.getTabAlias(), paraExprInfo
.getIsVirtualCol()));
}
if (isDistinct) {
numDistinctUDFs++;
}
boolean isAllColumns = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
GenericUDAFEvaluator genericUDAFEvaluator = null;
// For distincts, partial aggregations have not been done
if (distPartAgg) {
genericUDAFEvaluator = getGenericUDAFEvaluator(aggName, aggParameters,
value, isDistinct, isAllColumns);
assert (genericUDAFEvaluator != null);
genericUDAFEvaluators.put(entry.getKey(), genericUDAFEvaluator);
} else {
genericUDAFEvaluator = genericUDAFEvaluators.get(entry.getKey());
assert (genericUDAFEvaluator != null);
}
GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
aggParameters);
aggregations.add(new AggregationDesc(aggName.toLowerCase(),
udaf.genericUDAFEvaluator, udaf.convertedParameters,
(mode != GroupByDesc.Mode.FINAL && isDistinct), amode));
String field = getColumnInternalName(groupByKeys.size()
+ aggregations.size() - 1);
outputColumnNames.add(field);
groupByOutputRowResolver.putExpression(value, new ColumnInfo(
field, udaf.returnType, "", false));
}
float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
float memoryThreshold = HiveConf
.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
// Nothing special needs to be done for grouping sets if
// this is the final group by operator, and multiple rows corresponding to the
// grouping sets have been generated upstream.
// However, if an addition MR job has been created to handle grouping sets,
// additional rows corresponding to grouping sets need to be created here.
Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
distPartAgg, groupByMemoryUsage, memoryThreshold,
groupingSets,
groupingSetsPresent && groupingSetsNeedAdditionalMRJob,
groupingSetsPosition, containsDistinctAggr),
new RowSchema(groupByOutputRowResolver.getColumnInfos()), reduceSinkOperatorInfo),
groupByOutputRowResolver);
op.setColumnExprMap(colExprMap);
return op;
}
/*
* Create a new grouping key for grouping id.
* A dummy grouping id. is added. At runtime, the group by operator
* creates 'n' rows per input row, where 'n' is the number of grouping sets.
*/
private void createNewGroupingKey(List<ExprNodeDesc> groupByKeys,
List<String> outputColumnNames,
RowResolver groupByOutputRowResolver,
Map<String, ExprNodeDesc> colExprMap) {
// The value for the constant does not matter. It is replaced by the grouping set
// value for the actual implementation
ExprNodeConstantDesc constant = new ExprNodeConstantDesc("0");
groupByKeys.add(constant);
String field = getColumnInternalName(groupByKeys.size() - 1);
outputColumnNames.add(field);
groupByOutputRowResolver.put(null, VirtualColumn.GROUPINGID.getName(),
new ColumnInfo(
field,
TypeInfoFactory.stringTypeInfo,
null,
true));
colExprMap.put(field, constant);
}
/**
* Generate the map-side GroupByOperator for the Query Block
* (qb.getParseInfo().getXXX(dest)). The new GroupByOperator will be a child
* of the inputOperatorInfo.
*
* @param mode
* The mode of the aggregation (HASH)
* @param genericUDAFEvaluators
* If not null, this function will store the mapping from Aggregation
* StringTree to the genericUDAFEvaluator in this parameter, so it
* can be used in the next-stage GroupBy aggregations.
* @return the new GroupByOperator
*/
@SuppressWarnings("nls")
private Operator genGroupByPlanMapGroupByOperator(QB qb,
String dest,
List<ASTNode> grpByExprs,
Operator inputOperatorInfo,
GroupByDesc.Mode mode,
Map<String, GenericUDAFEvaluator> genericUDAFEvaluators,
List<Integer> groupingSetKeys,
boolean groupingSetsPresent) throws SemanticException {
RowResolver groupByInputRowResolver = opParseCtx.get(inputOperatorInfo)
.getRowResolver();
QBParseInfo parseInfo = qb.getParseInfo();
RowResolver groupByOutputRowResolver = new RowResolver();
groupByOutputRowResolver.setIsExprResolver(true);
ArrayList<ExprNodeDesc> groupByKeys = new ArrayList<ExprNodeDesc>();
ArrayList<String> outputColumnNames = new ArrayList<String>();
ArrayList<AggregationDesc> aggregations = new ArrayList<AggregationDesc>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
for (int i = 0; i < grpByExprs.size(); ++i) {
ASTNode grpbyExpr = grpByExprs.get(i);
ExprNodeDesc grpByExprNode = genExprNodeDesc(grpbyExpr,
groupByInputRowResolver);
groupByKeys.add(grpByExprNode);
String field = getColumnInternalName(i);
outputColumnNames.add(field);
groupByOutputRowResolver.putExpression(grpbyExpr,
new ColumnInfo(field, grpByExprNode.getTypeInfo(), "", false));
colExprMap.put(field, groupByKeys.get(groupByKeys.size() - 1));
}
// The grouping set key is present after the grouping keys, before the distinct keys
int groupingSetsPosition = groupByKeys.size();
// For grouping sets, add a dummy grouping key
// This dummy key needs to be added as a reduce key
// For eg: consider: select key, value, count(1) from T group by key, value with rollup.
// Assuming map-side aggregation and no skew, the plan would look like:
//
// TableScan --> Select --> GroupBy1 --> ReduceSink --> GroupBy2 --> Select --> FileSink
//
// This function is called for GroupBy1 to create an additional grouping key
// for the grouping set (corresponding to the rollup).
if (groupingSetsPresent) {
createNewGroupingKey(groupByKeys,
outputColumnNames,
groupByOutputRowResolver,
colExprMap);
}
// If there is a distinctFuncExp, add all parameters to the reduceKeys.
if (!parseInfo.getDistinctFuncExprsForClause(dest).isEmpty()) {
List<ASTNode> list = parseInfo.getDistinctFuncExprsForClause(dest);
for (ASTNode value : list) {
// 0 is function name
for (int i = 1; i < value.getChildCount(); i++) {
ASTNode parameter = (ASTNode) value.getChild(i);
if (groupByOutputRowResolver.getExpression(parameter) == null) {
ExprNodeDesc distExprNode = genExprNodeDesc(parameter,
groupByInputRowResolver);
groupByKeys.add(distExprNode);
String field = getColumnInternalName(groupByKeys.size() - 1);
outputColumnNames.add(field);
groupByOutputRowResolver.putExpression(parameter, new ColumnInfo(
field, distExprNode.getTypeInfo(), "", false));
colExprMap.put(field, groupByKeys.get(groupByKeys.size() - 1));
}
}
}
}
// For each aggregation
HashMap<String, ASTNode> aggregationTrees = parseInfo
.getAggregationExprsForClause(dest);
assert (aggregationTrees != null);
boolean containsDistinctAggr = false;
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
ASTNode value = entry.getValue();
String aggName = unescapeIdentifier(value.getChild(0).getText());
ArrayList<ExprNodeDesc> aggParameters = new ArrayList<ExprNodeDesc>();
new ArrayList<Class<?>>();
// 0 is the function name
for (int i = 1; i < value.getChildCount(); i++) {
ASTNode paraExpr = (ASTNode) value.getChild(i);
ExprNodeDesc paraExprNode = genExprNodeDesc(paraExpr,
groupByInputRowResolver);
aggParameters.add(paraExprNode);
}
boolean isDistinct = value.getType() == HiveParser.TOK_FUNCTIONDI;
containsDistinctAggr = containsDistinctAggr || isDistinct;
boolean isAllColumns = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
GenericUDAFEvaluator genericUDAFEvaluator = getGenericUDAFEvaluator(
aggName, aggParameters, value, isDistinct, isAllColumns);
assert (genericUDAFEvaluator != null);
GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
aggParameters);
aggregations.add(new AggregationDesc(aggName.toLowerCase(),
udaf.genericUDAFEvaluator, udaf.convertedParameters, isDistinct,
amode));
String field = getColumnInternalName(groupByKeys.size()
+ aggregations.size() - 1);
outputColumnNames.add(field);
groupByOutputRowResolver.putExpression(value, new ColumnInfo(
field, udaf.returnType, "", false));
// Save the evaluator so that it can be used by the next-stage
// GroupByOperators
if (genericUDAFEvaluators != null) {
genericUDAFEvaluators.put(entry.getKey(), genericUDAFEvaluator);
}
}
float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
float memoryThreshold = HiveConf
.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
false, groupByMemoryUsage, memoryThreshold,
groupingSetKeys, groupingSetsPresent, groupingSetsPosition, containsDistinctAggr),
new RowSchema(groupByOutputRowResolver.getColumnInfos()),
inputOperatorInfo), groupByOutputRowResolver);
op.setColumnExprMap(colExprMap);
return op;
}
/**
* Generate the ReduceSinkOperator for the Group By Query Block
* (qb.getPartInfo().getXXX(dest)). The new ReduceSinkOperator will be a child
* of inputOperatorInfo.
*
* It will put all Group By keys and the distinct field (if any) in the
* map-reduce sort key, and all other fields in the map-reduce value.
*
* @param numPartitionFields
* the number of fields for map-reduce partitioning. This is usually
* the number of fields in the Group By keys.
* @return the new ReduceSinkOperator.
* @throws SemanticException
*/
@SuppressWarnings("nls")
private ReduceSinkOperator genGroupByPlanReduceSinkOperator(QB qb,
String dest,
Operator inputOperatorInfo,
List<ASTNode> grpByExprs,
int numPartitionFields,
boolean changeNumPartitionFields,
int numReducers,
boolean mapAggrDone,
boolean groupingSetsPresent) throws SemanticException {
RowResolver reduceSinkInputRowResolver = opParseCtx.get(inputOperatorInfo)
.getRowResolver();
QBParseInfo parseInfo = qb.getParseInfo();
RowResolver reduceSinkOutputRowResolver = new RowResolver();
reduceSinkOutputRowResolver.setIsExprResolver(true);
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
// Pre-compute group-by keys and store in reduceKeys
List<String> outputKeyColumnNames = new ArrayList<String>();
List<String> outputValueColumnNames = new ArrayList<String>();
ArrayList<ExprNodeDesc> reduceKeys = getReduceKeysForReduceSink(grpByExprs, dest,
reduceSinkInputRowResolver, reduceSinkOutputRowResolver, outputKeyColumnNames,
colExprMap);
// add a key for reduce sink
if (groupingSetsPresent) {
// Process grouping set for the reduce sink operator
processGroupingSetReduceSinkOperator(
reduceSinkInputRowResolver,
reduceSinkOutputRowResolver,
reduceKeys,
outputKeyColumnNames,
colExprMap);
if (changeNumPartitionFields) {
numPartitionFields++;
}
}
List<List<Integer>> distinctColIndices = getDistinctColIndicesForReduceSink(parseInfo, dest,
reduceKeys, reduceSinkInputRowResolver, reduceSinkOutputRowResolver, outputKeyColumnNames,
colExprMap);
ArrayList<ExprNodeDesc> reduceValues = new ArrayList<ExprNodeDesc>();
HashMap<String, ASTNode> aggregationTrees = parseInfo
.getAggregationExprsForClause(dest);
if (!mapAggrDone) {
getReduceValuesForReduceSinkNoMapAgg(parseInfo, dest, reduceSinkInputRowResolver,
reduceSinkOutputRowResolver, outputValueColumnNames, reduceValues, colExprMap);
} else {
// Put partial aggregation results in reduceValues
int inputField = reduceKeys.size();
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
TypeInfo type = reduceSinkInputRowResolver.getColumnInfos().get(
inputField).getType();
ExprNodeColumnDesc exprDesc = new ExprNodeColumnDesc(type,
getColumnInternalName(inputField), "", false);
reduceValues.add(exprDesc);
inputField++;
outputValueColumnNames.add(getColumnInternalName(reduceValues.size() - 1));
String field = Utilities.ReduceField.VALUE.toString() + "."
+ getColumnInternalName(reduceValues.size() - 1);
reduceSinkOutputRowResolver.putExpression(entry.getValue(),
new ColumnInfo(field, type, null, false));
colExprMap.put(field, exprDesc);
}
}
ReduceSinkOperator rsOp = (ReduceSinkOperator) putOpInsertMap(
OperatorFactory.getAndMakeChild(
PlanUtils.getReduceSinkDesc(reduceKeys,
groupingSetsPresent ? grpByExprs.size() + 1 : grpByExprs.size(),
reduceValues, distinctColIndices,
outputKeyColumnNames, outputValueColumnNames, true, -1, numPartitionFields,
numReducers),
new RowSchema(reduceSinkOutputRowResolver.getColumnInfos()), inputOperatorInfo),
reduceSinkOutputRowResolver);
rsOp.setColumnExprMap(colExprMap);
return rsOp;
}
private ArrayList<ExprNodeDesc> getReduceKeysForReduceSink(List<ASTNode> grpByExprs, String dest,
RowResolver reduceSinkInputRowResolver, RowResolver reduceSinkOutputRowResolver,
List<String> outputKeyColumnNames, Map<String, ExprNodeDesc> colExprMap)
throws SemanticException {
ArrayList<ExprNodeDesc> reduceKeys = new ArrayList<ExprNodeDesc>();
for (int i = 0; i < grpByExprs.size(); ++i) {
ASTNode grpbyExpr = grpByExprs.get(i);
ExprNodeDesc inputExpr = genExprNodeDesc(grpbyExpr,
reduceSinkInputRowResolver);
reduceKeys.add(inputExpr);
if (reduceSinkOutputRowResolver.getExpression(grpbyExpr) == null) {
outputKeyColumnNames.add(getColumnInternalName(reduceKeys.size() - 1));
String field = Utilities.ReduceField.KEY.toString() + "."
+ getColumnInternalName(reduceKeys.size() - 1);
ColumnInfo colInfo = new ColumnInfo(field, reduceKeys.get(
reduceKeys.size() - 1).getTypeInfo(), null, false);
reduceSinkOutputRowResolver.putExpression(grpbyExpr, colInfo);
colExprMap.put(colInfo.getInternalName(), inputExpr);
} else {
throw new SemanticException(ErrorMsg.DUPLICATE_GROUPBY_KEY
.getMsg(grpbyExpr));
}
}
return reduceKeys;
}
private List<List<Integer>> getDistinctColIndicesForReduceSink(QBParseInfo parseInfo,
String dest,
List<ExprNodeDesc> reduceKeys, RowResolver reduceSinkInputRowResolver,
RowResolver reduceSinkOutputRowResolver, List<String> outputKeyColumnNames,
Map<String, ExprNodeDesc> colExprMap)
throws SemanticException {
List<List<Integer>> distinctColIndices = new ArrayList<List<Integer>>();
// If there is a distinctFuncExp, add all parameters to the reduceKeys.
if (!parseInfo.getDistinctFuncExprsForClause(dest).isEmpty()) {
List<ASTNode> distFuncs = parseInfo.getDistinctFuncExprsForClause(dest);
String colName = getColumnInternalName(reduceKeys.size());
outputKeyColumnNames.add(colName);
for (int i = 0; i < distFuncs.size(); i++) {
ASTNode value = distFuncs.get(i);
int numExprs = 0;
List<Integer> distinctIndices = new ArrayList<Integer>();
// 0 is function name
for (int j = 1; j < value.getChildCount(); j++) {
ASTNode parameter = (ASTNode) value.getChild(j);
ExprNodeDesc expr = genExprNodeDesc(parameter, reduceSinkInputRowResolver);
// see if expr is already present in reduceKeys.
// get index of expr in reduceKeys
int ri;
for (ri = 0; ri < reduceKeys.size(); ri++) {
if (reduceKeys.get(ri).getExprString().equals(expr.getExprString())) {
break;
}
}
// add the expr to reduceKeys if it is not present
if (ri == reduceKeys.size()) {
reduceKeys.add(expr);
}
// add the index of expr in reduceKeys to distinctIndices
distinctIndices.add(ri);
String name = getColumnInternalName(numExprs);
String field = Utilities.ReduceField.KEY.toString() + "." + colName
+ ":" + i
+ "." + name;
ColumnInfo colInfo = new ColumnInfo(field, expr.getTypeInfo(), null, false);
reduceSinkOutputRowResolver.putExpression(parameter, colInfo);
colExprMap.put(field, expr);
numExprs++;
}
distinctColIndices.add(distinctIndices);
}
}
return distinctColIndices;
}
private void getReduceValuesForReduceSinkNoMapAgg(QBParseInfo parseInfo, String dest,
RowResolver reduceSinkInputRowResolver, RowResolver reduceSinkOutputRowResolver,
List<String> outputValueColumnNames, ArrayList<ExprNodeDesc> reduceValues,
Map<String, ExprNodeDesc> colExprMap) throws SemanticException {
HashMap<String, ASTNode> aggregationTrees = parseInfo
.getAggregationExprsForClause(dest);
// Put parameters to aggregations in reduceValues
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
ASTNode value = entry.getValue();
// 0 is function name
for (int i = 1; i < value.getChildCount(); i++) {
ASTNode parameter = (ASTNode) value.getChild(i);
if (reduceSinkOutputRowResolver.getExpression(parameter) == null) {
ExprNodeDesc exprDesc = genExprNodeDesc(parameter, reduceSinkInputRowResolver);
reduceValues.add(exprDesc);
outputValueColumnNames
.add(getColumnInternalName(reduceValues.size() - 1));
String field = Utilities.ReduceField.VALUE.toString() + "."
+ getColumnInternalName(reduceValues.size() - 1);
reduceSinkOutputRowResolver.putExpression(parameter, new ColumnInfo(field,
reduceValues.get(reduceValues.size() - 1).getTypeInfo(), null,
false));
colExprMap.put(field, exprDesc);
}
}
}
}
@SuppressWarnings("nls")
private ReduceSinkOperator genCommonGroupByPlanReduceSinkOperator(QB qb, List<String> dests,
Operator inputOperatorInfo) throws SemanticException {
RowResolver reduceSinkInputRowResolver = opParseCtx.get(inputOperatorInfo)
.getRowResolver();
QBParseInfo parseInfo = qb.getParseInfo();
RowResolver reduceSinkOutputRowResolver = new RowResolver();
reduceSinkOutputRowResolver.setIsExprResolver(true);
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
// The group by keys and distinct keys should be the same for all dests, so using the first
// one to produce these will be the same as using any other.
String dest = dests.get(0);
// Pre-compute group-by keys and store in reduceKeys
List<String> outputKeyColumnNames = new ArrayList<String>();
List<String> outputValueColumnNames = new ArrayList<String>();
List<ASTNode> grpByExprs = getGroupByForClause(parseInfo, dest);
ArrayList<ExprNodeDesc> reduceKeys = getReduceKeysForReduceSink(grpByExprs, dest,
reduceSinkInputRowResolver, reduceSinkOutputRowResolver, outputKeyColumnNames,
colExprMap);
List<List<Integer>> distinctColIndices = getDistinctColIndicesForReduceSink(parseInfo, dest,
reduceKeys, reduceSinkInputRowResolver, reduceSinkOutputRowResolver, outputKeyColumnNames,
colExprMap);
ArrayList<ExprNodeDesc> reduceValues = new ArrayList<ExprNodeDesc>();
// The dests can have different non-distinct aggregations, so we have to iterate over all of
// them
for (String destination : dests) {
getReduceValuesForReduceSinkNoMapAgg(parseInfo, destination, reduceSinkInputRowResolver,
reduceSinkOutputRowResolver, outputValueColumnNames, reduceValues, colExprMap);
// Need to pass all of the columns used in the where clauses as reduce values
ASTNode whereClause = parseInfo.getWhrForClause(destination);
if (whereClause != null) {
assert whereClause.getChildCount() == 1;
ASTNode predicates = (ASTNode) whereClause.getChild(0);
Map<ASTNode, ExprNodeDesc> nodeOutputs =
genAllExprNodeDesc(predicates, reduceSinkInputRowResolver);
removeMappingForKeys(predicates, nodeOutputs, reduceKeys);
// extract columns missing in current RS key/value
for (Map.Entry<ASTNode, ExprNodeDesc> entry : nodeOutputs.entrySet()) {
ASTNode parameter = (ASTNode) entry.getKey();
ExprNodeDesc expression = (ExprNodeDesc) entry.getValue();
if (!(expression instanceof ExprNodeColumnDesc)) {
continue;
}
if (ExprNodeDescUtils.indexOf(expression, reduceValues) >= 0) {
continue;
}
String internalName = getColumnInternalName(reduceValues.size());
String field = Utilities.ReduceField.VALUE.toString() + "." + internalName;
reduceValues.add(expression);
outputValueColumnNames.add(internalName);
reduceSinkOutputRowResolver.putExpression(parameter,
new ColumnInfo(field, expression.getTypeInfo(), null, false));
colExprMap.put(field, expression);
}
}
}
ReduceSinkOperator rsOp = (ReduceSinkOperator) putOpInsertMap(
OperatorFactory.getAndMakeChild(PlanUtils.getReduceSinkDesc(reduceKeys,
grpByExprs.size(), reduceValues, distinctColIndices,
outputKeyColumnNames, outputValueColumnNames, true, -1, grpByExprs.size(),
-1), new RowSchema(reduceSinkOutputRowResolver
.getColumnInfos()), inputOperatorInfo), reduceSinkOutputRowResolver);
rsOp.setColumnExprMap(colExprMap);
return rsOp;
}
// Remove expression node descriptor and children of it for a given predicate
// from mapping if it's already on RS keys.
// Remaining column expressions would be a candidate for an RS value
private void removeMappingForKeys(ASTNode predicate, Map<ASTNode, ExprNodeDesc> mapping,
List<ExprNodeDesc> keys) {
ExprNodeDesc expr = (ExprNodeDesc) mapping.get(predicate);
if (expr != null && ExprNodeDescUtils.indexOf(expr, keys) >= 0) {
removeRecursively(predicate, mapping);
} else {
for (int i = 0; i < predicate.getChildCount(); i++) {
removeMappingForKeys((ASTNode) predicate.getChild(i), mapping, keys);
}
}
}
// Remove expression node desc and all children of it from mapping
private void removeRecursively(ASTNode current, Map<ASTNode, ExprNodeDesc> mapping) {
mapping.remove(current);
for (int i = 0; i < current.getChildCount(); i++) {
removeRecursively((ASTNode) current.getChild(i), mapping);
}
}
/**
* Generate the second ReduceSinkOperator for the Group By Plan
* (parseInfo.getXXX(dest)). The new ReduceSinkOperator will be a child of
* groupByOperatorInfo.
*
* The second ReduceSinkOperator will put the group by keys in the map-reduce
* sort key, and put the partial aggregation results in the map-reduce value.
*
* @param numPartitionFields
* the number of fields in the map-reduce partition key. This should
* always be the same as the number of Group By keys. We should be
* able to remove this parameter since in this phase there is no
* distinct any more.
* @return the new ReduceSinkOperator.
* @throws SemanticException
*/
@SuppressWarnings("nls")
private Operator genGroupByPlanReduceSinkOperator2MR(QBParseInfo parseInfo,
String dest,
Operator groupByOperatorInfo,
int numPartitionFields,
int numReducers,
boolean groupingSetsPresent) throws SemanticException {
RowResolver reduceSinkInputRowResolver2 = opParseCtx.get(
groupByOperatorInfo).getRowResolver();
RowResolver reduceSinkOutputRowResolver2 = new RowResolver();
reduceSinkOutputRowResolver2.setIsExprResolver(true);
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
ArrayList<ExprNodeDesc> reduceKeys = new ArrayList<ExprNodeDesc>();
ArrayList<String> outputColumnNames = new ArrayList<String>();
// Get group-by keys and store in reduceKeys
List<ASTNode> grpByExprs = getGroupByForClause(parseInfo, dest);
for (int i = 0; i < grpByExprs.size(); ++i) {
ASTNode grpbyExpr = grpByExprs.get(i);
String field = getColumnInternalName(i);
outputColumnNames.add(field);
TypeInfo typeInfo = reduceSinkInputRowResolver2.getExpression(
grpbyExpr).getType();
ExprNodeColumnDesc inputExpr = new ExprNodeColumnDesc(typeInfo, field,
"", false);
reduceKeys.add(inputExpr);
ColumnInfo colInfo = new ColumnInfo(Utilities.ReduceField.KEY.toString()
+ "." + field, typeInfo, "", false);
reduceSinkOutputRowResolver2.putExpression(grpbyExpr, colInfo);
colExprMap.put(colInfo.getInternalName(), inputExpr);
}
// add a key for reduce sink
if (groupingSetsPresent) {
// Note that partitioning fields dont need to change, since it is either
// partitioned randomly, or by all grouping keys + distinct keys
processGroupingSetReduceSinkOperator(
reduceSinkInputRowResolver2,
reduceSinkOutputRowResolver2,
reduceKeys,
outputColumnNames,
colExprMap);
}
// Get partial aggregation results and store in reduceValues
ArrayList<ExprNodeDesc> reduceValues = new ArrayList<ExprNodeDesc>();
int inputField = reduceKeys.size();
HashMap<String, ASTNode> aggregationTrees = parseInfo
.getAggregationExprsForClause(dest);
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
String field = getColumnInternalName(inputField);
ASTNode t = entry.getValue();
TypeInfo typeInfo = reduceSinkInputRowResolver2.getExpression(t)
.getType();
ExprNodeColumnDesc exprDesc = new ExprNodeColumnDesc(typeInfo, field, "", false);
reduceValues.add(exprDesc);
inputField++;
String col = getColumnInternalName(reduceValues.size() - 1);
outputColumnNames.add(col);
reduceSinkOutputRowResolver2.putExpression(t, new ColumnInfo(
Utilities.ReduceField.VALUE.toString() + "." + col, typeInfo, "",
false));
colExprMap.put(col, exprDesc);
}
ReduceSinkOperator rsOp = (ReduceSinkOperator) putOpInsertMap(
OperatorFactory.getAndMakeChild(PlanUtils.getReduceSinkDesc(reduceKeys,
reduceValues, outputColumnNames, true, -1, numPartitionFields,
numReducers), new RowSchema(reduceSinkOutputRowResolver2
.getColumnInfos()), groupByOperatorInfo),
reduceSinkOutputRowResolver2);
rsOp.setColumnExprMap(colExprMap);
return rsOp;
}
/**
* Generate the second GroupByOperator for the Group By Plan
* (parseInfo.getXXX(dest)). The new GroupByOperator will do the second
* aggregation based on the partial aggregation results.
*
* @param mode
* the mode of aggregation (FINAL)
* @param genericUDAFEvaluators
* The mapping from Aggregation StringTree to the
* genericUDAFEvaluator.
* @return the new GroupByOperator
* @throws SemanticException
*/
@SuppressWarnings("nls")
private Operator genGroupByPlanGroupByOperator2MR(QBParseInfo parseInfo,
String dest,
Operator reduceSinkOperatorInfo2,
GroupByDesc.Mode mode,
Map<String, GenericUDAFEvaluator> genericUDAFEvaluators,
boolean groupingSetsPresent) throws SemanticException {
RowResolver groupByInputRowResolver2 = opParseCtx.get(
reduceSinkOperatorInfo2).getRowResolver();
RowResolver groupByOutputRowResolver2 = new RowResolver();
groupByOutputRowResolver2.setIsExprResolver(true);
ArrayList<ExprNodeDesc> groupByKeys = new ArrayList<ExprNodeDesc>();
ArrayList<AggregationDesc> aggregations = new ArrayList<AggregationDesc>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
List<ASTNode> grpByExprs = getGroupByForClause(parseInfo, dest);
ArrayList<String> outputColumnNames = new ArrayList<String>();
for (int i = 0; i < grpByExprs.size(); ++i) {
ASTNode grpbyExpr = grpByExprs.get(i);
ColumnInfo exprInfo = groupByInputRowResolver2.getExpression(grpbyExpr);
if (exprInfo == null) {
throw new SemanticException(ErrorMsg.INVALID_COLUMN.getMsg(grpbyExpr));
}
String expression = exprInfo.getInternalName();
groupByKeys.add(new ExprNodeColumnDesc(exprInfo.getType(), expression,
exprInfo.getTabAlias(), exprInfo.getIsVirtualCol()));
String field = getColumnInternalName(i);
outputColumnNames.add(field);
groupByOutputRowResolver2.putExpression(grpbyExpr,
new ColumnInfo(field, exprInfo.getType(), "", false));
colExprMap.put(field, groupByKeys.get(groupByKeys.size() - 1));
}
// For grouping sets, add a dummy grouping key
if (groupingSetsPresent) {
addGroupingSetKey(
groupByKeys,
groupByInputRowResolver2,
groupByOutputRowResolver2,
outputColumnNames,
colExprMap);
}
HashMap<String, ASTNode> aggregationTrees = parseInfo
.getAggregationExprsForClause(dest);
boolean containsDistinctAggr = false;
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
ArrayList<ExprNodeDesc> aggParameters = new ArrayList<ExprNodeDesc>();
ASTNode value = entry.getValue();
ColumnInfo paraExprInfo = groupByInputRowResolver2.getExpression(value);
if (paraExprInfo == null) {
throw new SemanticException(ErrorMsg.INVALID_COLUMN.getMsg(value));
}
String paraExpression = paraExprInfo.getInternalName();
assert (paraExpression != null);
aggParameters.add(new ExprNodeColumnDesc(paraExprInfo.getType(),
paraExpression, paraExprInfo.getTabAlias(), paraExprInfo
.getIsVirtualCol()));
String aggName = unescapeIdentifier(value.getChild(0).getText());
boolean isDistinct = value.getType() == HiveParser.TOK_FUNCTIONDI;
containsDistinctAggr = containsDistinctAggr || isDistinct;
boolean isStar = value.getType() == HiveParser.TOK_FUNCTIONSTAR;
Mode amode = groupByDescModeToUDAFMode(mode, isDistinct);
GenericUDAFEvaluator genericUDAFEvaluator = genericUDAFEvaluators
.get(entry.getKey());
assert (genericUDAFEvaluator != null);
GenericUDAFInfo udaf = getGenericUDAFInfo(genericUDAFEvaluator, amode,
aggParameters);
aggregations
.add(new AggregationDesc(
aggName.toLowerCase(),
udaf.genericUDAFEvaluator,
udaf.convertedParameters,
(mode != GroupByDesc.Mode.FINAL && value.getToken().getType() ==
HiveParser.TOK_FUNCTIONDI),
amode));
String field = getColumnInternalName(groupByKeys.size()
+ aggregations.size() - 1);
outputColumnNames.add(field);
groupByOutputRowResolver2.putExpression(value, new ColumnInfo(
field, udaf.returnType, "", false));
}
float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
float memoryThreshold = HiveConf
.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
false, groupByMemoryUsage, memoryThreshold, null, false, 0, containsDistinctAggr),
new RowSchema(groupByOutputRowResolver2.getColumnInfos()),
reduceSinkOperatorInfo2), groupByOutputRowResolver2);
op.setColumnExprMap(colExprMap);
return op;
}
/**
* Generate a Group-By plan using a single map-reduce job (3 operators will be
* inserted):
*
* ReduceSink ( keys = (K1_EXP, K2_EXP, DISTINCT_EXP), values = (A1_EXP,
* A2_EXP) ) SortGroupBy (keys = (KEY.0,KEY.1), aggregations =
* (count_distinct(KEY.2), sum(VALUE.0), count(VALUE.1))) Select (final
* selects).
*
* @param dest
* @param qb
* @param input
* @return
* @throws SemanticException
*
* Generate a Group-By plan using 1 map-reduce job. Spray by the
* group by key, and sort by the distinct key (if any), and compute
* aggregates * The aggregation evaluation functions are as
* follows: Partitioning Key: grouping key
*
* Sorting Key: grouping key if no DISTINCT grouping + distinct key
* if DISTINCT
*
* Reducer: iterate/merge (mode = COMPLETE)
**/
@SuppressWarnings({"nls"})
private Operator genGroupByPlan1MR(String dest, QB qb, Operator input)
throws SemanticException {
QBParseInfo parseInfo = qb.getParseInfo();
int numReducers = -1;
ObjectPair<List<ASTNode>, List<Integer>> grpByExprsGroupingSets =
getGroupByGroupingSetsForClause(parseInfo, dest);
List<ASTNode> grpByExprs = grpByExprsGroupingSets.getFirst();
List<Integer> groupingSets = grpByExprsGroupingSets.getSecond();
if (grpByExprs.isEmpty()) {
numReducers = 1;
}
// Grouping sets are not allowed
if (!groupingSets.isEmpty()) {
throw new SemanticException(ErrorMsg.HIVE_GROUPING_SETS_AGGR_NOMAPAGGR.getMsg());
}
// ////// 1. Generate ReduceSinkOperator
ReduceSinkOperator reduceSinkOperatorInfo =
genGroupByPlanReduceSinkOperator(qb,
dest,
input,
grpByExprs,
grpByExprs.size(),
false,
numReducers,
false,
false);
// ////// 2. Generate GroupbyOperator
Operator groupByOperatorInfo = genGroupByPlanGroupByOperator(parseInfo,
dest, reduceSinkOperatorInfo, reduceSinkOperatorInfo, GroupByDesc.Mode.COMPLETE, null);
return groupByOperatorInfo;
}
@SuppressWarnings({"nls"})
private Operator genGroupByPlan1ReduceMultiGBY(List<String> dests, QB qb, Operator input)
throws SemanticException {
QBParseInfo parseInfo = qb.getParseInfo();
ExprNodeDesc previous = null;
Operator selectInput = input;
// In order to facilitate partition pruning, or the where clauses together and put them at the
// top of the operator tree, this could also reduce the amount of data going to the reducer
List<ExprNodeDesc.ExprNodeDescEqualityWrapper> whereExpressions =
new ArrayList<ExprNodeDesc.ExprNodeDescEqualityWrapper>();
for (String dest : dests) {
ASTNode whereExpr = parseInfo.getWhrForClause(dest);
if (whereExpr != null) {
OpParseContext inputCtx = opParseCtx.get(input);
RowResolver inputRR = inputCtx.getRowResolver();
ExprNodeDesc current = genExprNodeDesc((ASTNode) whereExpr.getChild(0), inputRR);
// Check the list of where expressions already added so they aren't duplicated
ExprNodeDesc.ExprNodeDescEqualityWrapper currentWrapped =
new ExprNodeDesc.ExprNodeDescEqualityWrapper(current);
if (!whereExpressions.contains(currentWrapped)) {
whereExpressions.add(currentWrapped);
} else {
continue;
}
if (previous == null) {
// If this is the first expression
previous = current;
continue;
}
GenericUDFOPOr or = new GenericUDFOPOr();
List<ExprNodeDesc> expressions = new ArrayList<ExprNodeDesc>(2);
expressions.add(previous);
expressions.add(current);
ExprNodeDesc orExpr =
new ExprNodeGenericFuncDesc(TypeInfoFactory.booleanTypeInfo, or, expressions);
previous = orExpr;
} else {
// If an expression does not have a where clause, there can be no common filter
previous = null;
break;
}
}
if (previous != null) {
OpParseContext inputCtx = opParseCtx.get(input);
RowResolver inputRR = inputCtx.getRowResolver();
FilterDesc orFilterDesc = new FilterDesc(previous, false);
selectInput = putOpInsertMap(OperatorFactory.getAndMakeChild(
orFilterDesc, new RowSchema(
inputRR.getColumnInfos()), input), inputRR);
}
// insert a select operator here used by the ColumnPruner to reduce
// the data to shuffle
Operator select = insertSelectAllPlanForGroupBy(selectInput);
// Generate ReduceSinkOperator
ReduceSinkOperator reduceSinkOperatorInfo =
genCommonGroupByPlanReduceSinkOperator(qb, dests, select);
// It is assumed throughout the code that a reducer has a single child, add a
// ForwardOperator so that we can add multiple filter/group by operators as children
RowResolver reduceSinkOperatorInfoRR = opParseCtx.get(reduceSinkOperatorInfo).getRowResolver();
Operator forwardOp = putOpInsertMap(OperatorFactory.getAndMakeChild(new ForwardDesc(),
new RowSchema(reduceSinkOperatorInfoRR.getColumnInfos()), reduceSinkOperatorInfo),
reduceSinkOperatorInfoRR);
Operator curr = forwardOp;
for (String dest : dests) {
curr = forwardOp;
if (parseInfo.getWhrForClause(dest) != null) {
curr = genFilterPlan(dest, qb, forwardOp);
}
// Generate GroupbyOperator
Operator groupByOperatorInfo = genGroupByPlanGroupByOperator(parseInfo,
dest, curr, reduceSinkOperatorInfo, GroupByDesc.Mode.COMPLETE, null);
curr = genPostGroupByBodyPlan(groupByOperatorInfo, dest, qb);
}
return curr;
}
static ArrayList<GenericUDAFEvaluator> getUDAFEvaluators(
ArrayList<AggregationDesc> aggs) {
ArrayList<GenericUDAFEvaluator> result = new ArrayList<GenericUDAFEvaluator>();
for (int i = 0; i < aggs.size(); i++) {
result.add(aggs.get(i).getGenericUDAFEvaluator());
}
return result;
}
/**
* Generate a Multi Group-By plan using a 2 map-reduce jobs.
*
* @param dest
* @param qb
* @param input
* @return
* @throws SemanticException
*
* Generate a Group-By plan using a 2 map-reduce jobs. Spray by the
* distinct key in hope of getting a uniform distribution, and
* compute partial aggregates by the grouping key. Evaluate partial
* aggregates first, and spray by the grouping key to compute actual
* aggregates in the second phase. The agggregation evaluation
* functions are as follows: Partitioning Key: distinct key
*
* Sorting Key: distinct key
*
* Reducer: iterate/terminatePartial (mode = PARTIAL1)
*
* STAGE 2
*
* Partitioning Key: grouping key
*
* Sorting Key: grouping key
*
* Reducer: merge/terminate (mode = FINAL)
*/
@SuppressWarnings("nls")
private Operator genGroupByPlan2MRMultiGroupBy(String dest, QB qb,
Operator input) throws SemanticException {
// ////// Generate GroupbyOperator for a map-side partial aggregation
Map<String, GenericUDAFEvaluator> genericUDAFEvaluators =
new LinkedHashMap<String, GenericUDAFEvaluator>();
QBParseInfo parseInfo = qb.getParseInfo();
// ////// 2. Generate GroupbyOperator
Operator groupByOperatorInfo = genGroupByPlanGroupByOperator1(parseInfo,
dest, input, GroupByDesc.Mode.HASH, genericUDAFEvaluators, true,
null, false, false);
int numReducers = -1;
List<ASTNode> grpByExprs = getGroupByForClause(parseInfo, dest);
// ////// 3. Generate ReduceSinkOperator2
Operator reduceSinkOperatorInfo2 = genGroupByPlanReduceSinkOperator2MR(
parseInfo, dest, groupByOperatorInfo, grpByExprs.size(), numReducers, false);
// ////// 4. Generate GroupbyOperator2
Operator groupByOperatorInfo2 = genGroupByPlanGroupByOperator2MR(parseInfo,
dest, reduceSinkOperatorInfo2, GroupByDesc.Mode.FINAL,
genericUDAFEvaluators, false);
return groupByOperatorInfo2;
}
/**
* Generate a Group-By plan using a 2 map-reduce jobs (5 operators will be
* inserted):
*
* ReduceSink ( keys = (K1_EXP, K2_EXP, DISTINCT_EXP), values = (A1_EXP,
* A2_EXP) ) NOTE: If DISTINCT_EXP is null, partition by rand() SortGroupBy
* (keys = (KEY.0,KEY.1), aggregations = (count_distinct(KEY.2), sum(VALUE.0),
* count(VALUE.1))) ReduceSink ( keys = (0,1), values=(2,3,4)) SortGroupBy
* (keys = (KEY.0,KEY.1), aggregations = (sum(VALUE.0), sum(VALUE.1),
* sum(VALUE.2))) Select (final selects).
*
* @param dest
* @param qb
* @param input
* @return
* @throws SemanticException
*
* Generate a Group-By plan using a 2 map-reduce jobs. Spray by the
* grouping key and distinct key (or a random number, if no distinct
* is present) in hope of getting a uniform distribution, and
* compute partial aggregates grouped by the reduction key (grouping
* key + distinct key). Evaluate partial aggregates first, and spray
* by the grouping key to compute actual aggregates in the second
* phase. The agggregation evaluation functions are as follows:
* Partitioning Key: random() if no DISTINCT grouping + distinct key
* if DISTINCT
*
* Sorting Key: grouping key if no DISTINCT grouping + distinct key
* if DISTINCT
*
* Reducer: iterate/terminatePartial (mode = PARTIAL1)
*
* STAGE 2
*
* Partitioning Key: grouping key
*
* Sorting Key: grouping key if no DISTINCT grouping + distinct key
* if DISTINCT
*
* Reducer: merge/terminate (mode = FINAL)
*/
@SuppressWarnings("nls")
private Operator genGroupByPlan2MR(String dest, QB qb, Operator input)
throws SemanticException {
QBParseInfo parseInfo = qb.getParseInfo();
ObjectPair<List<ASTNode>, List<Integer>> grpByExprsGroupingSets =
getGroupByGroupingSetsForClause(parseInfo, dest);
List<ASTNode> grpByExprs = grpByExprsGroupingSets.getFirst();
List<Integer> groupingSets = grpByExprsGroupingSets.getSecond();
// Grouping sets are not allowed
// This restriction can be lifted in future.
// HIVE-3508 has been filed for this
if (!groupingSets.isEmpty()) {
throw new SemanticException(ErrorMsg.HIVE_GROUPING_SETS_AGGR_NOMAPAGGR.getMsg());
}
// ////// 1. Generate ReduceSinkOperator
// There is a special case when we want the rows to be randomly distributed
// to
// reducers for load balancing problem. That happens when there is no
// DISTINCT
// operator. We set the numPartitionColumns to -1 for this purpose. This is
// captured by WritableComparableHiveObject.hashCode() function.
ReduceSinkOperator reduceSinkOperatorInfo =
genGroupByPlanReduceSinkOperator(qb,
dest,
input,
grpByExprs,
(parseInfo.getDistinctFuncExprsForClause(dest).isEmpty() ? -1 : Integer.MAX_VALUE),
false,
-1,
false,
false);
// ////// 2. Generate GroupbyOperator
Map<String, GenericUDAFEvaluator> genericUDAFEvaluators =
new LinkedHashMap<String, GenericUDAFEvaluator>();
GroupByOperator groupByOperatorInfo = (GroupByOperator) genGroupByPlanGroupByOperator(
parseInfo, dest, reduceSinkOperatorInfo, reduceSinkOperatorInfo, GroupByDesc.Mode.PARTIAL1,
genericUDAFEvaluators);
int numReducers = -1;
if (grpByExprs.isEmpty()) {
numReducers = 1;
}
// ////// 3. Generate ReduceSinkOperator2
Operator reduceSinkOperatorInfo2 = genGroupByPlanReduceSinkOperator2MR(
parseInfo, dest, groupByOperatorInfo, grpByExprs.size(), numReducers, false);
// ////// 4. Generate GroupbyOperator2
Operator groupByOperatorInfo2 = genGroupByPlanGroupByOperator2MR(parseInfo,
dest, reduceSinkOperatorInfo2, GroupByDesc.Mode.FINAL,
genericUDAFEvaluators, false);
return groupByOperatorInfo2;
}
private boolean optimizeMapAggrGroupBy(String dest, QB qb) {
List<ASTNode> grpByExprs = getGroupByForClause(qb.getParseInfo(), dest);
if ((grpByExprs != null) && !grpByExprs.isEmpty()) {
return false;
}
if (!qb.getParseInfo().getDistinctFuncExprsForClause(dest).isEmpty()) {
return false;
}
return true;
}
static private void extractColumns(Set<String> colNamesExprs,
ExprNodeDesc exprNode) throws SemanticException {
if (exprNode instanceof ExprNodeColumnDesc) {
colNamesExprs.add(((ExprNodeColumnDesc) exprNode).getColumn());
return;
}
if (exprNode instanceof ExprNodeGenericFuncDesc) {
ExprNodeGenericFuncDesc funcDesc = (ExprNodeGenericFuncDesc) exprNode;
for (ExprNodeDesc childExpr : funcDesc.getChildExprs()) {
extractColumns(colNamesExprs, childExpr);
}
}
}
static private boolean hasCommonElement(Set<String> set1, Set<String> set2) {
for (String elem1 : set1) {
if (set2.contains(elem1)) {
return true;
}
}
return false;
}
private void checkExpressionsForGroupingSet(List<ASTNode> grpByExprs,
List<ASTNode> distinctGrpByExprs,
Map<String, ASTNode> aggregationTrees,
RowResolver inputRowResolver) throws SemanticException {
Set<String> colNamesGroupByExprs = new HashSet<String>();
Set<String> colNamesGroupByDistinctExprs = new HashSet<String>();
Set<String> colNamesAggregateParameters = new HashSet<String>();
// The columns in the group by expressions should not intersect with the columns in the
// distinct expressions
for (ASTNode grpByExpr : grpByExprs) {
extractColumns(colNamesGroupByExprs, genExprNodeDesc(grpByExpr, inputRowResolver));
}
// If there is a distinctFuncExp, add all parameters to the reduceKeys.
if (!distinctGrpByExprs.isEmpty()) {
for (ASTNode value : distinctGrpByExprs) {
// 0 is function name
for (int i = 1; i < value.getChildCount(); i++) {
ASTNode parameter = (ASTNode) value.getChild(i);
ExprNodeDesc distExprNode = genExprNodeDesc(parameter, inputRowResolver);
// extract all the columns
extractColumns(colNamesGroupByDistinctExprs, distExprNode);
}
if (hasCommonElement(colNamesGroupByExprs, colNamesGroupByDistinctExprs)) {
throw new SemanticException(ErrorMsg.HIVE_GROUPING_SETS_AGGR_EXPRESSION_INVALID.getMsg());
}
}
}
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
ASTNode value = entry.getValue();
ArrayList<ExprNodeDesc> aggParameters = new ArrayList<ExprNodeDesc>();
// 0 is the function name
for (int i = 1; i < value.getChildCount(); i++) {
ASTNode paraExpr = (ASTNode) value.getChild(i);
ExprNodeDesc paraExprNode = genExprNodeDesc(paraExpr, inputRowResolver);
// extract all the columns
extractColumns(colNamesAggregateParameters, paraExprNode);
}
if (hasCommonElement(colNamesGroupByExprs, colNamesAggregateParameters)) {
throw new SemanticException(ErrorMsg.HIVE_GROUPING_SETS_AGGR_EXPRESSION_INVALID.getMsg());
}
}
}
/**
* Generate a Group-By plan using 1 map-reduce job. First perform a map-side
* partial aggregation (to reduce the amount of data), at this point of time,
* we may turn off map-side partial aggregation based on its performance. Then
* spray by the group by key, and sort by the distinct key (if any), and
* compute aggregates based on actual aggregates
*
* The agggregation evaluation functions are as follows:
*
* No grouping sets:
* Group By Operator:
* grouping keys: group by expressions if no DISTINCT
* grouping keys: group by expressions + distinct keys if DISTINCT
* Mapper: iterate/terminatePartial (mode = HASH)
* Partitioning Key: grouping key
* Sorting Key: grouping key if no DISTINCT
* grouping + distinct key if DISTINCT
* Reducer: iterate/terminate if DISTINCT
* merge/terminate if NO DISTINCT (mode MERGEPARTIAL)
*
* Grouping Sets:
* Group By Operator:
* grouping keys: group by expressions + grouping id. if no DISTINCT
* grouping keys: group by expressions + grouping id. + distinct keys if DISTINCT
* Mapper: iterate/terminatePartial (mode = HASH)
* Partitioning Key: grouping key + grouping id.
* Sorting Key: grouping key + grouping id. if no DISTINCT
* grouping + grouping id. + distinct key if DISTINCT
* Reducer: iterate/terminate if DISTINCT
* merge/terminate if NO DISTINCT (mode MERGEPARTIAL)
*
* Grouping Sets with an additional MR job introduced (distincts are not allowed):
* Group By Operator:
* grouping keys: group by expressions
* Mapper: iterate/terminatePartial (mode = HASH)
* Partitioning Key: grouping key
* Sorting Key: grouping key
* Reducer: merge/terminate (mode MERGEPARTIAL)
* Group by Operator:
* grouping keys: group by expressions + add a new grouping id. key
*
* STAGE 2
* Partitioning Key: grouping key + grouping id.
* Sorting Key: grouping key + grouping id.
* Reducer: merge/terminate (mode = FINAL)
* Group by Operator:
* grouping keys: group by expressions + grouping id.
*/
@SuppressWarnings("nls")
private Operator genGroupByPlanMapAggrNoSkew(String dest, QB qb,
Operator inputOperatorInfo) throws SemanticException {
QBParseInfo parseInfo = qb.getParseInfo();
ObjectPair<List<ASTNode>, List<Integer>> grpByExprsGroupingSets =
getGroupByGroupingSetsForClause(parseInfo, dest);
List<ASTNode> grpByExprs = grpByExprsGroupingSets.getFirst();
List<Integer> groupingSets = grpByExprsGroupingSets.getSecond();
boolean groupingSetsPresent = !groupingSets.isEmpty();
int newMRJobGroupingSetsThreshold =
conf.getIntVar(HiveConf.ConfVars.HIVE_NEW_JOB_GROUPING_SET_CARDINALITY);
if (groupingSetsPresent) {
checkExpressionsForGroupingSet(grpByExprs,
parseInfo.getDistinctFuncExprsForClause(dest),
parseInfo.getAggregationExprsForClause(dest),
opParseCtx.get(inputOperatorInfo).getRowResolver());
}
// ////// Generate GroupbyOperator for a map-side partial aggregation
Map<String, GenericUDAFEvaluator> genericUDAFEvaluators =
new LinkedHashMap<String, GenericUDAFEvaluator>();
// Is the grouping sets data consumed in the current in MR job, or
// does it need an additional MR job
boolean groupingSetsNeedAdditionalMRJob =
groupingSetsPresent && groupingSets.size() > newMRJobGroupingSetsThreshold ?
true : false;
GroupByOperator groupByOperatorInfo =
(GroupByOperator) genGroupByPlanMapGroupByOperator(
qb,
dest,
grpByExprs,
inputOperatorInfo,
GroupByDesc.Mode.HASH,
genericUDAFEvaluators,
groupingSets,
groupingSetsPresent && !groupingSetsNeedAdditionalMRJob);
groupOpToInputTables.put(groupByOperatorInfo, opParseCtx.get(
inputOperatorInfo).getRowResolver().getTableNames());
int numReducers = -1;
// Optimize the scenario when there are no grouping keys - only 1 reducer is
// needed
if (grpByExprs.isEmpty()) {
numReducers = 1;
}
// ////// Generate ReduceSink Operator
boolean isDistinct = !qb.getParseInfo().getDistinctFuncExprsForClause(dest).isEmpty();
// Distincts are not allowed with an additional mr job
if (groupingSetsNeedAdditionalMRJob && isDistinct) {
String errorMsg = "The number of rows per input row due to grouping sets is "
+ groupingSets.size();
throw new SemanticException(
ErrorMsg.HIVE_GROUPING_SETS_THRESHOLD_NOT_ALLOWED_WITH_DISTINCTS.getMsg(errorMsg));
}
Operator reduceSinkOperatorInfo =
genGroupByPlanReduceSinkOperator(qb,
dest,
groupByOperatorInfo,
grpByExprs,
grpByExprs.size(),
true,
numReducers,
true,
groupingSetsPresent && !groupingSetsNeedAdditionalMRJob);
// Does it require a new MR job for grouping sets
if (!groupingSetsPresent || !groupingSetsNeedAdditionalMRJob) {
// This is a 1-stage map-reduce processing of the groupby. Tha map-side
// aggregates was just used to
// reduce output data. In case of distincts, partial results are not used,
// and so iterate is again
// invoked on the reducer. In case of non-distincts, partial results are
// used, and merge is invoked
// on the reducer.
return genGroupByPlanGroupByOperator1(parseInfo, dest,
reduceSinkOperatorInfo, GroupByDesc.Mode.MERGEPARTIAL,
genericUDAFEvaluators, false,
groupingSets, groupingSetsPresent, groupingSetsNeedAdditionalMRJob);
}
else
{
// Add 'n' rows corresponding to the grouping sets. For each row, create 'n' rows,
// one for each grouping set key. Since map-side aggregation has already been performed,
// the number of rows would have been reduced. Moreover, the rows corresponding to the
// grouping keys come together, so there is a higher chance of finding the rows in the hash
// table.
Operator groupByOperatorInfo2 =
genGroupByPlanGroupByOperator1(parseInfo, dest,
reduceSinkOperatorInfo, GroupByDesc.Mode.PARTIALS,
genericUDAFEvaluators, false,
groupingSets, groupingSetsPresent, groupingSetsNeedAdditionalMRJob);
// ////// Generate ReduceSinkOperator2
Operator reduceSinkOperatorInfo2 = genGroupByPlanReduceSinkOperator2MR(
parseInfo, dest, groupByOperatorInfo2, grpByExprs.size() + 1, numReducers,
groupingSetsPresent);
// ////// Generate GroupbyOperator3
return genGroupByPlanGroupByOperator2MR(parseInfo, dest,
reduceSinkOperatorInfo2, GroupByDesc.Mode.FINAL,
genericUDAFEvaluators, groupingSetsPresent);
}
}
/**
* Generate a Group-By plan using a 2 map-reduce jobs. However, only 1
* group-by plan is generated if the query involves no grouping key and no
* distincts. In that case, the plan is same as generated by
* genGroupByPlanMapAggr1MR. Otherwise, the following plan is generated: First
* perform a map side partial aggregation (to reduce the amount of data). Then
* spray by the grouping key and distinct key (or a random number, if no
* distinct is present) in hope of getting a uniform distribution, and compute
* partial aggregates grouped by the reduction key (grouping key + distinct
* key). Evaluate partial aggregates first, and spray by the grouping key to
* compute actual aggregates in the second phase.
*
* The agggregation evaluation functions are as follows:
*
* No grouping sets:
* STAGE 1
* Group by Operator:
* grouping keys: group by expressions if no DISTINCT
* grouping keys: group by expressions + distinct keys if DISTINCT
* Mapper: iterate/terminatePartial (mode = HASH)
* Partitioning Key: random() if no DISTINCT
* grouping + distinct key if DISTINCT
* Sorting Key: grouping key if no DISTINCT
* grouping + distinct key if DISTINCT
* Reducer: iterate/terminatePartial if DISTINCT
* merge/terminatePartial if NO DISTINCT (mode = MERGEPARTIAL)
* Group by Operator:
* grouping keys: group by expressions
*
* STAGE 2
* Partitioning Key: grouping key
* Sorting Key: grouping key
* Reducer: merge/terminate (mode = FINAL)
*
* In the presence of grouping sets, the agggregation evaluation functions are as follows:
* STAGE 1
* Group by Operator:
* grouping keys: group by expressions + grouping id. if no DISTINCT
* grouping keys: group by expressions + + grouping id. + distinct keys if DISTINCT
* Mapper: iterate/terminatePartial (mode = HASH)
* Partitioning Key: random() if no DISTINCT
* grouping + grouping id. + distinct key if DISTINCT
* Sorting Key: grouping key + grouping id. if no DISTINCT
* grouping + grouping id. + distinct key if DISTINCT
* Reducer: iterate/terminatePartial if DISTINCT
* merge/terminatePartial if NO DISTINCT (mode = MERGEPARTIAL)
* Group by Operator:
* grouping keys: group by expressions + grouping id.
*
* STAGE 2
* Partitioning Key: grouping key
* Sorting Key: grouping key + grouping id.
* Reducer: merge/terminate (mode = FINAL)
*/
@SuppressWarnings("nls")
private Operator genGroupByPlanMapAggr2MR(String dest, QB qb,
Operator inputOperatorInfo) throws SemanticException {
QBParseInfo parseInfo = qb.getParseInfo();
ObjectPair<List<ASTNode>, List<Integer>> grpByExprsGroupingSets =
getGroupByGroupingSetsForClause(parseInfo, dest);
List<ASTNode> grpByExprs = grpByExprsGroupingSets.getFirst();
List<Integer> groupingSets = grpByExprsGroupingSets.getSecond();
boolean groupingSetsPresent = !groupingSets.isEmpty();
if (groupingSetsPresent) {
checkExpressionsForGroupingSet(grpByExprs,
parseInfo.getDistinctFuncExprsForClause(dest),
parseInfo.getAggregationExprsForClause(dest),
opParseCtx.get(inputOperatorInfo).getRowResolver());
int newMRJobGroupingSetsThreshold =
conf.getIntVar(HiveConf.ConfVars.HIVE_NEW_JOB_GROUPING_SET_CARDINALITY);
// Turn off skew if an additional MR job is required anyway for grouping sets.
if (groupingSets.size() > newMRJobGroupingSetsThreshold) {
String errorMsg = "The number of rows per input row due to grouping sets is "
+ groupingSets.size();
throw new SemanticException(
ErrorMsg.HIVE_GROUPING_SETS_THRESHOLD_NOT_ALLOWED_WITH_SKEW.getMsg(errorMsg));
}
}
// ////// Generate GroupbyOperator for a map-side partial aggregation
Map<String, GenericUDAFEvaluator> genericUDAFEvaluators =
new LinkedHashMap<String, GenericUDAFEvaluator>();
GroupByOperator groupByOperatorInfo =
(GroupByOperator) genGroupByPlanMapGroupByOperator(
qb, dest, grpByExprs, inputOperatorInfo, GroupByDesc.Mode.HASH,
genericUDAFEvaluators, groupingSets, groupingSetsPresent);
groupOpToInputTables.put(groupByOperatorInfo, opParseCtx.get(
inputOperatorInfo).getRowResolver().getTableNames());
// Optimize the scenario when there are no grouping keys and no distinct - 2
// map-reduce jobs are not needed
// For eg: select count(1) from T where t.ds = ....
if (!optimizeMapAggrGroupBy(dest, qb)) {
List<ASTNode> distinctFuncExprs = parseInfo.getDistinctFuncExprsForClause(dest);
// ////// Generate ReduceSink Operator
Operator reduceSinkOperatorInfo =
genGroupByPlanReduceSinkOperator(qb,
dest,
groupByOperatorInfo,
grpByExprs,
distinctFuncExprs.isEmpty() ? -1 : Integer.MAX_VALUE,
false,
-1,
true,
groupingSetsPresent);
// ////// Generate GroupbyOperator for a partial aggregation
Operator groupByOperatorInfo2 = genGroupByPlanGroupByOperator1(parseInfo,
dest, reduceSinkOperatorInfo, GroupByDesc.Mode.PARTIALS,
genericUDAFEvaluators, false,
groupingSets, groupingSetsPresent, false);
int numReducers = -1;
if (grpByExprs.isEmpty()) {
numReducers = 1;
}
// ////// Generate ReduceSinkOperator2
Operator reduceSinkOperatorInfo2 = genGroupByPlanReduceSinkOperator2MR(
parseInfo, dest, groupByOperatorInfo2, grpByExprs.size(), numReducers,
groupingSetsPresent);
// ////// Generate GroupbyOperator3
return genGroupByPlanGroupByOperator2MR(parseInfo, dest,
reduceSinkOperatorInfo2, GroupByDesc.Mode.FINAL,
genericUDAFEvaluators, groupingSetsPresent);
} else {
// If there are no grouping keys, grouping sets cannot be present
assert !groupingSetsPresent;
// ////// Generate ReduceSink Operator
Operator reduceSinkOperatorInfo =
genGroupByPlanReduceSinkOperator(qb,
dest,
groupByOperatorInfo,
grpByExprs,
grpByExprs.size(),
false,
1,
true,
groupingSetsPresent);
return genGroupByPlanGroupByOperator2MR(parseInfo, dest,
reduceSinkOperatorInfo, GroupByDesc.Mode.FINAL, genericUDAFEvaluators, false);
}
}
@SuppressWarnings("nls")
private Operator genConversionOps(String dest, QB qb, Operator input)
throws SemanticException {
Integer dest_type = qb.getMetaData().getDestTypeForAlias(dest);
switch (dest_type.intValue()) {
case QBMetaData.DEST_TABLE: {
qb.getMetaData().getDestTableForAlias(dest);
break;
}
case QBMetaData.DEST_PARTITION: {
qb.getMetaData().getDestPartitionForAlias(dest).getTable();
break;
}
default: {
return input;
}
}
return input;
}
private int getReducersBucketing(int totalFiles, int maxReducers) {
int numFiles = (int)Math.ceil((double)totalFiles / (double)maxReducers);
while (true) {
if (totalFiles % numFiles == 0) {
return totalFiles / numFiles;
}
numFiles++;
}
}
private static class SortBucketRSCtx {
ArrayList<ExprNodeDesc> partnCols;
boolean multiFileSpray;
int numFiles;
int totalFiles;
public SortBucketRSCtx() {
partnCols = null;
multiFileSpray = false;
numFiles = 1;
totalFiles = 1;
}
/**
* @return the partnCols
*/
public ArrayList<ExprNodeDesc> getPartnCols() {
return partnCols;
}
/**
* @param partnCols
* the partnCols to set
*/
public void setPartnCols(ArrayList<ExprNodeDesc> partnCols) {
this.partnCols = partnCols;
}
/**
* @return the multiFileSpray
*/
public boolean isMultiFileSpray() {
return multiFileSpray;
}
/**
* @param multiFileSpray
* the multiFileSpray to set
*/
public void setMultiFileSpray(boolean multiFileSpray) {
this.multiFileSpray = multiFileSpray;
}
/**
* @return the numFiles
*/
public int getNumFiles() {
return numFiles;
}
/**
* @param numFiles
* the numFiles to set
*/
public void setNumFiles(int numFiles) {
this.numFiles = numFiles;
}
/**
* @return the totalFiles
*/
public int getTotalFiles() {
return totalFiles;
}
/**
* @param totalFiles
* the totalFiles to set
*/
public void setTotalFiles(int totalFiles) {
this.totalFiles = totalFiles;
}
}
@SuppressWarnings("nls")
private Operator genBucketingSortingDest(String dest, Operator input, QB qb,
TableDesc table_desc, Table dest_tab, SortBucketRSCtx ctx) throws SemanticException {
// If the table is bucketed, and bucketing is enforced, do the following:
// If the number of buckets is smaller than the number of maximum reducers,
// create those many reducers.
// If not, create a multiFileSink instead of FileSink - the multiFileSink will
// spray the data into multiple buckets. That way, we can support a very large
// number of buckets without needing a very large number of reducers.
boolean enforceBucketing = false;
boolean enforceSorting = false;
ArrayList<ExprNodeDesc> partnCols = new ArrayList<ExprNodeDesc>();
ArrayList<ExprNodeDesc> partnColsNoConvert = new ArrayList<ExprNodeDesc>();
ArrayList<ExprNodeDesc> sortCols = new ArrayList<ExprNodeDesc>();
ArrayList<Integer> sortOrders = new ArrayList<Integer>();
boolean multiFileSpray = false;
int numFiles = 1;
int totalFiles = 1;
if ((dest_tab.getNumBuckets() > 0) &&
(conf.getBoolVar(HiveConf.ConfVars.HIVEENFORCEBUCKETING))) {
enforceBucketing = true;
partnCols = getParitionColsFromBucketCols(dest, qb, dest_tab, table_desc, input, true);
partnColsNoConvert = getParitionColsFromBucketCols(dest, qb, dest_tab, table_desc, input,
false);
}
if ((dest_tab.getSortCols() != null) &&
(dest_tab.getSortCols().size() > 0) &&
(conf.getBoolVar(HiveConf.ConfVars.HIVEENFORCESORTING))) {
enforceSorting = true;
sortCols = getSortCols(dest, qb, dest_tab, table_desc, input, true);
sortOrders = getSortOrders(dest, qb, dest_tab, input);
if (!enforceBucketing) {
partnCols = sortCols;
partnColsNoConvert = getSortCols(dest, qb, dest_tab, table_desc, input, false);
}
}
if (enforceBucketing || enforceSorting) {
int maxReducers = conf.getIntVar(HiveConf.ConfVars.MAXREDUCERS);
if (conf.getIntVar(HiveConf.ConfVars.HADOOPNUMREDUCERS) > 0) {
maxReducers = conf.getIntVar(HiveConf.ConfVars.HADOOPNUMREDUCERS);
}
int numBuckets = dest_tab.getNumBuckets();
if (numBuckets > maxReducers) {
multiFileSpray = true;
totalFiles = numBuckets;
if (totalFiles % maxReducers == 0) {
numFiles = totalFiles / maxReducers;
}
else {
// find the number of reducers such that it is a divisor of totalFiles
maxReducers = getReducersBucketing(totalFiles, maxReducers);
numFiles = totalFiles / maxReducers;
}
}
else {
maxReducers = numBuckets;
}
input = genReduceSinkPlanForSortingBucketing(dest_tab, input,
sortCols, sortOrders, partnCols, maxReducers);
ctx.setMultiFileSpray(multiFileSpray);
ctx.setNumFiles(numFiles);
ctx.setPartnCols(partnColsNoConvert);
ctx.setTotalFiles(totalFiles);
}
return input;
}
/**
* Check for HOLD_DDLTIME hint.
*
* @param qb
* @return true if HOLD_DDLTIME is set, false otherwise.
*/
private boolean checkHoldDDLTime(QB qb) {
ASTNode hints = qb.getParseInfo().getHints();
if (hints == null) {
return false;
}
for (int pos = 0; pos < hints.getChildCount(); pos++) {
ASTNode hint = (ASTNode) hints.getChild(pos);
if (((ASTNode) hint.getChild(0)).getToken().getType() == HiveParser.TOK_HOLD_DDLTIME) {
return true;
}
}
return false;
}
@SuppressWarnings("nls")
private Operator genFileSinkPlan(String dest, QB qb, Operator input)
throws SemanticException {
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
QBMetaData qbm = qb.getMetaData();
Integer dest_type = qbm.getDestTypeForAlias(dest);
Table dest_tab = null; // destination table if any
Partition dest_part = null;// destination partition if any
String queryTmpdir = null; // the intermediate destination directory
Path dest_path = null; // the final destination directory
TableDesc table_desc = null;
int currentTableId = 0;
boolean isLocal = false;
SortBucketRSCtx rsCtx = new SortBucketRSCtx();
DynamicPartitionCtx dpCtx = null;
LoadTableDesc ltd = null;
boolean holdDDLTime = checkHoldDDLTime(qb);
ListBucketingCtx lbCtx = null;
switch (dest_type.intValue()) {
case QBMetaData.DEST_TABLE: {
dest_tab = qbm.getDestTableForAlias(dest);
// Is the user trying to insert into a external tables
if ((!conf.getBoolVar(HiveConf.ConfVars.HIVE_INSERT_INTO_EXTERNAL_TABLES)) &&
(dest_tab.getTableType().equals(TableType.EXTERNAL_TABLE))) {
throw new SemanticException(
ErrorMsg.INSERT_EXTERNAL_TABLE.getMsg(dest_tab.getTableName()));
}
Map<String, String> partSpec = qbm.getPartSpecForAlias(dest);
dest_path = dest_tab.getPath();
// check for partition
List<FieldSchema> parts = dest_tab.getPartitionKeys();
if (parts != null && parts.size() > 0) { // table is partitioned
if (partSpec == null || partSpec.size() == 0) { // user did NOT specify partition
throw new SemanticException(generateErrorMessage(
qb.getParseInfo().getDestForClause(dest),
ErrorMsg.NEED_PARTITION_ERROR.getMsg()));
}
// the HOLD_DDLTIIME hint should not be used with dynamic partition since the
// newly generated partitions should always update their DDLTIME
if (holdDDLTime) {
throw new SemanticException(generateErrorMessage(
qb.getParseInfo().getDestForClause(dest),
ErrorMsg.HOLD_DDLTIME_ON_NONEXIST_PARTITIONS.getMsg()));
}
dpCtx = qbm.getDPCtx(dest);
if (dpCtx == null) {
Utilities.validatePartSpec(dest_tab, partSpec);
dpCtx = new DynamicPartitionCtx(dest_tab, partSpec,
conf.getVar(HiveConf.ConfVars.DEFAULTPARTITIONNAME),
conf.getIntVar(HiveConf.ConfVars.DYNAMICPARTITIONMAXPARTSPERNODE));
qbm.setDPCtx(dest, dpCtx);
}
if (HiveConf.getBoolVar(conf, HiveConf.ConfVars.DYNAMICPARTITIONING)) { // allow DP
// turn on hive.task.progress to update # of partitions created to the JT
HiveConf.setBoolVar(conf, HiveConf.ConfVars.HIVEJOBPROGRESS, true);
} else { // QBMetaData.DEST_PARTITION capture the all-SP case
throw new SemanticException(generateErrorMessage(
qb.getParseInfo().getDestForClause(dest),
ErrorMsg.DYNAMIC_PARTITION_DISABLED.getMsg()));
}
if (dpCtx.getSPPath() != null) {
dest_path = new Path(dest_tab.getPath(), dpCtx.getSPPath());
}
if ((dest_tab.getNumBuckets() > 0) &&
(conf.getBoolVar(HiveConf.ConfVars.HIVEENFORCEBUCKETING))) {
dpCtx.setNumBuckets(dest_tab.getNumBuckets());
}
}
boolean isNonNativeTable = dest_tab.isNonNative();
if (isNonNativeTable) {
queryTmpdir = dest_path.toUri().getPath();
} else {
queryTmpdir = ctx.getExternalTmpFileURI(dest_path.toUri());
}
if (dpCtx != null) {
// set the root of the temporay path where dynamic partition columns will populate
dpCtx.setRootPath(queryTmpdir);
}
// this table_desc does not contain the partitioning columns
table_desc = Utilities.getTableDesc(dest_tab);
// Add sorting/bucketing if needed
input = genBucketingSortingDest(dest, input, qb, table_desc, dest_tab, rsCtx);
idToTableNameMap.put(String.valueOf(destTableId), dest_tab.getTableName());
currentTableId = destTableId;
destTableId++;
lbCtx = constructListBucketingCtx(dest_tab.getSkewedColNames(),
dest_tab.getSkewedColValues(), dest_tab.getSkewedColValueLocationMaps(),
dest_tab.isStoredAsSubDirectories(), conf);
// Create the work for moving the table
// NOTE: specify Dynamic partitions in dest_tab for WriteEntity
if (!isNonNativeTable) {
ltd = new LoadTableDesc(queryTmpdir, ctx.getExternalTmpFileURI(dest_path.toUri()),
table_desc, dpCtx);
ltd.setReplace(!qb.getParseInfo().isInsertIntoTable(dest_tab.getDbName(),
dest_tab.getTableName()));
ltd.setLbCtx(lbCtx);
if (holdDDLTime) {
LOG.info("this query will not update transient_lastDdlTime!");
ltd.setHoldDDLTime(true);
}
loadTableWork.add(ltd);
}
WriteEntity output = null;
// Here only register the whole table for post-exec hook if no DP present
// in the case of DP, we will register WriteEntity in MoveTask when the
// list of dynamically created partitions are known.
if ((dpCtx == null || dpCtx.getNumDPCols() == 0)) {
output = new WriteEntity(dest_tab);
if (!outputs.add(output)) {
throw new SemanticException(ErrorMsg.OUTPUT_SPECIFIED_MULTIPLE_TIMES
.getMsg(dest_tab.getTableName()));
}
}
if ((dpCtx != null) && (dpCtx.getNumDPCols() >= 0)) {
// No static partition specified
if (dpCtx.getNumSPCols() == 0) {
output = new WriteEntity(dest_tab, false);
outputs.add(output);
}
// part of the partition specified
// Create a DummyPartition in this case. Since, the metastore does not store partial
// partitions currently, we need to store dummy partitions
else {
try {
String ppath = dpCtx.getSPPath();
ppath = ppath.substring(0, ppath.length() - 1);
DummyPartition p =
new DummyPartition(dest_tab, dest_tab.getDbName()
+ "@" + dest_tab.getTableName() + "@" + ppath,
partSpec);
output = new WriteEntity(p, false);
outputs.add(output);
} catch (HiveException e) {
throw new SemanticException(e.getMessage(), e);
}
}
}
ctx.getLoadTableOutputMap().put(ltd, output);
break;
}
case QBMetaData.DEST_PARTITION: {
dest_part = qbm.getDestPartitionForAlias(dest);
dest_tab = dest_part.getTable();
if ((!conf.getBoolVar(HiveConf.ConfVars.HIVE_INSERT_INTO_EXTERNAL_TABLES)) &&
dest_tab.getTableType().equals(TableType.EXTERNAL_TABLE)) {
throw new SemanticException(
ErrorMsg.INSERT_EXTERNAL_TABLE.getMsg(dest_tab.getTableName()));
}
Path tabPath = dest_tab.getPath();
Path partPath = dest_part.getPartitionPath();
// if the table is in a different dfs than the partition,
// replace the partition's dfs with the table's dfs.
dest_path = new Path(tabPath.toUri().getScheme(), tabPath.toUri()
.getAuthority(), partPath.toUri().getPath());
queryTmpdir = ctx.getExternalTmpFileURI(dest_path.toUri());
table_desc = Utilities.getTableDesc(dest_tab);
// Add sorting/bucketing if needed
input = genBucketingSortingDest(dest, input, qb, table_desc, dest_tab, rsCtx);
idToTableNameMap.put(String.valueOf(destTableId), dest_tab.getTableName());
currentTableId = destTableId;
destTableId++;
lbCtx = constructListBucketingCtx(dest_part.getSkewedColNames(),
dest_part.getSkewedColValues(), dest_part.getSkewedColValueLocationMaps(),
dest_part.isStoredAsSubDirectories(), conf);
ltd = new LoadTableDesc(queryTmpdir, ctx.getExternalTmpFileURI(dest_path.toUri()),
table_desc, dest_part.getSpec());
ltd.setReplace(!qb.getParseInfo().isInsertIntoTable(dest_tab.getDbName(),
dest_tab.getTableName()));
ltd.setLbCtx(lbCtx);
if (holdDDLTime) {
try {
Partition part = db.getPartition(dest_tab, dest_part.getSpec(), false);
if (part == null) {
throw new SemanticException(generateErrorMessage(
qb.getParseInfo().getDestForClause(dest),
ErrorMsg.HOLD_DDLTIME_ON_NONEXIST_PARTITIONS.getMsg()));
}
} catch (HiveException e) {
throw new SemanticException(e);
}
LOG.info("this query will not update transient_lastDdlTime!");
ltd.setHoldDDLTime(true);
}
loadTableWork.add(ltd);
if (!outputs.add(new WriteEntity(dest_part))) {
throw new SemanticException(ErrorMsg.OUTPUT_SPECIFIED_MULTIPLE_TIMES
.getMsg(dest_tab.getTableName() + "@" + dest_part.getName()));
}
break;
}
case QBMetaData.DEST_LOCAL_FILE:
isLocal = true;
// fall through
case QBMetaData.DEST_DFS_FILE: {
dest_path = new Path(qbm.getDestFileForAlias(dest));
String destStr = dest_path.toString();
if (isLocal) {
// for local directory - we always write to map-red intermediate
// store and then copy to local fs
queryTmpdir = ctx.getMRTmpFileURI();
} else {
// otherwise write to the file system implied by the directory
// no copy is required. we may want to revisit this policy in future
try {
Path qPath = FileUtils.makeQualified(dest_path, conf);
queryTmpdir = ctx.getExternalTmpFileURI(qPath.toUri());
} catch (Exception e) {
throw new SemanticException("Error creating temporary folder on: "
+ dest_path, e);
}
}
String cols = "";
String colTypes = "";
ArrayList<ColumnInfo> colInfos = inputRR.getColumnInfos();
// CTAS case: the file output format and serde are defined by the create
// table command
// rather than taking the default value
List<FieldSchema> field_schemas = null;
CreateTableDesc tblDesc = qb.getTableDesc();
if (tblDesc != null) {
field_schemas = new ArrayList<FieldSchema>();
}
boolean first = true;
for (ColumnInfo colInfo : colInfos) {
String[] nm = inputRR.reverseLookup(colInfo.getInternalName());
if (nm[1] != null) { // non-null column alias
colInfo.setAlias(nm[1]);
}
if (field_schemas != null) {
FieldSchema col = new FieldSchema();
if ("".equals(nm[0]) || nm[1] == null) {
// ast expression is not a valid column name for table
col.setName(colInfo.getInternalName());
} else {
col.setName(unescapeIdentifier(colInfo.getAlias()).toLowerCase()); // remove ``
}
col.setType(colInfo.getType().getTypeName());
field_schemas.add(col);
}
if (!first) {
cols = cols.concat(",");
colTypes = colTypes.concat(":");
}
first = false;
cols = cols.concat(colInfo.getInternalName());
// Replace VOID type with string when the output is a temp table or
// local files.
// A VOID type can be generated under the query:
//
// select NULL from tt;
// or
// insert overwrite local directory "abc" select NULL from tt;
//
// where there is no column type to which the NULL value should be
// converted.
//
String tName = colInfo.getType().getTypeName();
if (tName.equals(serdeConstants.VOID_TYPE_NAME)) {
colTypes = colTypes.concat(serdeConstants.STRING_TYPE_NAME);
} else {
colTypes = colTypes.concat(tName);
}
}
// update the create table descriptor with the resulting schema.
if (tblDesc != null) {
tblDesc.setCols(new ArrayList<FieldSchema>(field_schemas));
}
if (!ctx.isMRTmpFileURI(destStr)) {
idToTableNameMap.put(String.valueOf(destTableId), destStr);
currentTableId = destTableId;
destTableId++;
}
boolean isDfsDir = (dest_type.intValue() == QBMetaData.DEST_DFS_FILE);
loadFileWork.add(new LoadFileDesc(tblDesc, queryTmpdir, destStr, isDfsDir, cols,
colTypes));
if (tblDesc == null) {
if (qb.getIsQuery()) {
String fileFormat = HiveConf.getVar(conf, HiveConf.ConfVars.HIVEQUERYRESULTFILEFORMAT);
table_desc = PlanUtils.getDefaultQueryOutputTableDesc(cols, colTypes, fileFormat);
} else {
table_desc = PlanUtils.getDefaultTableDesc(qb.getLLocalDirectoryDesc(), cols, colTypes);
}
} else {
table_desc = PlanUtils.getTableDesc(tblDesc, cols, colTypes);
}
if (!outputs.add(new WriteEntity(destStr, !isDfsDir))) {
throw new SemanticException(ErrorMsg.OUTPUT_SPECIFIED_MULTIPLE_TIMES
.getMsg(destStr));
}
break;
}
default:
throw new SemanticException("Unknown destination type: " + dest_type);
}
input = genConversionSelectOperator(dest, qb, input, table_desc, dpCtx);
inputRR = opParseCtx.get(input).getRowResolver();
ArrayList<ColumnInfo> vecCol = new ArrayList<ColumnInfo>();
try {
StructObjectInspector rowObjectInspector = (StructObjectInspector) table_desc
.getDeserializer().getObjectInspector();
List<? extends StructField> fields = rowObjectInspector
.getAllStructFieldRefs();
for (int i = 0; i < fields.size(); i++) {
vecCol.add(new ColumnInfo(fields.get(i).getFieldName(), TypeInfoUtils
.getTypeInfoFromObjectInspector(fields.get(i)
.getFieldObjectInspector()), "", false));
}
} catch (Exception e) {
throw new SemanticException(e.getMessage(), e);
}
RowSchema fsRS = new RowSchema(vecCol);
// The output files of a FileSink can be merged if they are either not being written to a table
// or are being written to a table which is either not bucketed or enforce bucketing is not set
// and table the table is either not sorted or enforce sorting is not set
boolean canBeMerged = (dest_tab == null || !((dest_tab.getNumBuckets() > 0 &&
conf.getBoolVar(HiveConf.ConfVars.HIVEENFORCEBUCKETING)) ||
(dest_tab.getSortCols() != null && dest_tab.getSortCols().size() > 0 &&
conf.getBoolVar(HiveConf.ConfVars.HIVEENFORCESORTING))));
FileSinkDesc fileSinkDesc = new FileSinkDesc(
queryTmpdir,
table_desc,
conf.getBoolVar(HiveConf.ConfVars.COMPRESSRESULT),
currentTableId,
rsCtx.isMultiFileSpray(),
canBeMerged,
rsCtx.getNumFiles(),
rsCtx.getTotalFiles(),
rsCtx.getPartnCols(),
dpCtx);
/* Set List Bucketing context. */
if (lbCtx != null) {
lbCtx.processRowSkewedIndex(fsRS);
lbCtx.calculateSkewedValueSubDirList();
}
fileSinkDesc.setLbCtx(lbCtx);
// set it in plan instead of runtime in FileSinkOperator
fileSinkDesc.setStatsCollectRawDataSize(HiveConf.getBoolVar(conf,
HiveConf.ConfVars.HIVE_STATS_COLLECT_RAWDATASIZE));
// set the stats publishing/aggregating key prefix
// the same as directory name. The directory name
// can be changed in the optimizer but the key should not be changed
// it should be the same as the MoveWork's sourceDir.
fileSinkDesc.setStatsAggPrefix(fileSinkDesc.getDirName());
if (dest_part != null) {
try {
String staticSpec = Warehouse.makePartPath(dest_part.getSpec());
fileSinkDesc.setStaticSpec(staticSpec);
} catch (MetaException e) {
throw new SemanticException(e);
}
} else if (dpCtx != null) {
fileSinkDesc.setStaticSpec(dpCtx.getSPPath());
}
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(fileSinkDesc,
fsRS, input), inputRR);
if (ltd != null && SessionState.get() != null) {
SessionState.get().getLineageState()
.mapDirToFop(ltd.getSourceDir(), (FileSinkOperator) output);
}
if (LOG.isDebugEnabled()) {
LOG.debug("Created FileSink Plan for clause: " + dest + "dest_path: "
+ dest_path + " row schema: " + inputRR.toString());
}
fsopToTable.put((FileSinkOperator) output, dest_tab);
return output;
}
/**
* Generate the conversion SelectOperator that converts the columns into the
* types that are expected by the table_desc.
*/
Operator genConversionSelectOperator(String dest, QB qb, Operator input,
TableDesc table_desc, DynamicPartitionCtx dpCtx) throws SemanticException {
StructObjectInspector oi = null;
try {
Deserializer deserializer = table_desc.getDeserializerClass()
.newInstance();
deserializer.initialize(conf, table_desc.getProperties());
oi = (StructObjectInspector) deserializer.getObjectInspector();
} catch (Exception e) {
throw new SemanticException(e);
}
// Check column number
List<? extends StructField> tableFields = oi.getAllStructFieldRefs();
boolean dynPart = HiveConf.getBoolVar(conf, HiveConf.ConfVars.DYNAMICPARTITIONING);
ArrayList<ColumnInfo> rowFields = opParseCtx.get(input).getRowResolver()
.getColumnInfos();
int inColumnCnt = rowFields.size();
int outColumnCnt = tableFields.size();
if (dynPart && dpCtx != null) {
outColumnCnt += dpCtx.getNumDPCols();
}
if (inColumnCnt != outColumnCnt) {
String reason = "Table " + dest + " has " + outColumnCnt
+ " columns, but query has " + inColumnCnt + " columns.";
throw new SemanticException(ErrorMsg.TARGET_TABLE_COLUMN_MISMATCH.getMsg(
qb.getParseInfo().getDestForClause(dest), reason));
} else if (dynPart && dpCtx != null) {
// create the mapping from input ExprNode to dest table DP column
dpCtx.mapInputToDP(rowFields.subList(tableFields.size(), rowFields.size()));
}
// Check column types
boolean converted = false;
int columnNumber = tableFields.size();
ArrayList<ExprNodeDesc> expressions = new ArrayList<ExprNodeDesc>(
columnNumber);
// MetadataTypedColumnsetSerDe does not need type conversions because it
// does the conversion to String by itself.
boolean isMetaDataSerDe = table_desc.getDeserializerClass().equals(
MetadataTypedColumnsetSerDe.class);
boolean isLazySimpleSerDe = table_desc.getDeserializerClass().equals(
LazySimpleSerDe.class);
if (!isMetaDataSerDe) {
// here only deals with non-partition columns. We deal with partition columns next
for (int i = 0; i < columnNumber; i++) {
ObjectInspector tableFieldOI = tableFields.get(i)
.getFieldObjectInspector();
TypeInfo tableFieldTypeInfo = TypeInfoUtils
.getTypeInfoFromObjectInspector(tableFieldOI);
TypeInfo rowFieldTypeInfo = rowFields.get(i).getType();
ExprNodeDesc column = new ExprNodeColumnDesc(rowFieldTypeInfo,
rowFields.get(i).getInternalName(), "", false, rowFields.get(i).isSkewedCol());
// LazySimpleSerDe can convert any types to String type using
// JSON-format.
if (!tableFieldTypeInfo.equals(rowFieldTypeInfo)
&& !(isLazySimpleSerDe
&& tableFieldTypeInfo.getCategory().equals(Category.PRIMITIVE) && tableFieldTypeInfo
.equals(TypeInfoFactory.stringTypeInfo))) {
// need to do some conversions here
converted = true;
if (tableFieldTypeInfo.getCategory() != Category.PRIMITIVE) {
// cannot convert to complex types
column = null;
} else {
column = ParseUtils.createConversionCast(
column, (PrimitiveTypeInfo)tableFieldTypeInfo);
}
if (column == null) {
String reason = "Cannot convert column " + i + " from "
+ rowFieldTypeInfo + " to " + tableFieldTypeInfo + ".";
throw new SemanticException(ErrorMsg.TARGET_TABLE_COLUMN_MISMATCH
.getMsg(qb.getParseInfo().getDestForClause(dest), reason));
}
}
expressions.add(column);
}
}
// deal with dynamic partition columns: convert ExprNodeDesc type to String??
if (dynPart && dpCtx != null && dpCtx.getNumDPCols() > 0) {
// DP columns starts with tableFields.size()
for (int i = tableFields.size(); i < rowFields.size(); ++i) {
TypeInfo rowFieldTypeInfo = rowFields.get(i).getType();
ExprNodeDesc column = new ExprNodeColumnDesc(
rowFieldTypeInfo, rowFields.get(i).getInternalName(), "", false);
expressions.add(column);
}
// converted = true; // [TODO]: should we check & convert type to String and set it to true?
}
if (converted) {
// add the select operator
RowResolver rowResolver = new RowResolver();
ArrayList<String> colName = new ArrayList<String>();
for (int i = 0; i < expressions.size(); i++) {
String name = getColumnInternalName(i);
rowResolver.put("", name, new ColumnInfo(name, expressions.get(i)
.getTypeInfo(), "", false));
colName.add(name);
}
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(
new SelectDesc(expressions, colName), new RowSchema(rowResolver
.getColumnInfos()), input), rowResolver);
return output;
} else {
// not converted
return input;
}
}
@SuppressWarnings("nls")
private Operator genLimitPlan(String dest, QB qb, Operator input, int limit)
throws SemanticException {
// A map-only job can be optimized - instead of converting it to a
// map-reduce job, we can have another map
// job to do the same to avoid the cost of sorting in the map-reduce phase.
// A better approach would be to
// write into a local file and then have a map-only job.
// Add the limit operator to get the value fields
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
LimitDesc limitDesc = new LimitDesc(limit);
globalLimitCtx.setLastReduceLimitDesc(limitDesc);
Operator limitMap = putOpInsertMap(OperatorFactory.getAndMakeChild(
limitDesc, new RowSchema(inputRR.getColumnInfos()), input),
inputRR);
if (LOG.isDebugEnabled()) {
LOG.debug("Created LimitOperator Plan for clause: " + dest
+ " row schema: " + inputRR.toString());
}
return limitMap;
}
private Operator genUDTFPlan(GenericUDTF genericUDTF,
String outputTableAlias, ArrayList<String> colAliases, QB qb,
Operator input, boolean outerLV) throws SemanticException {
// No GROUP BY / DISTRIBUTE BY / SORT BY / CLUSTER BY
QBParseInfo qbp = qb.getParseInfo();
if (!qbp.getDestToGroupBy().isEmpty()) {
throw new SemanticException(ErrorMsg.UDTF_NO_GROUP_BY.getMsg());
}
if (!qbp.getDestToDistributeBy().isEmpty()) {
throw new SemanticException(ErrorMsg.UDTF_NO_DISTRIBUTE_BY.getMsg());
}
if (!qbp.getDestToSortBy().isEmpty()) {
throw new SemanticException(ErrorMsg.UDTF_NO_SORT_BY.getMsg());
}
if (!qbp.getDestToClusterBy().isEmpty()) {
throw new SemanticException(ErrorMsg.UDTF_NO_CLUSTER_BY.getMsg());
}
if (!qbp.getAliasToLateralViews().isEmpty()) {
throw new SemanticException(ErrorMsg.UDTF_LATERAL_VIEW.getMsg());
}
if (LOG.isDebugEnabled()) {
LOG.debug("Table alias: " + outputTableAlias + " Col aliases: "
+ colAliases);
}
// Use the RowResolver from the input operator to generate a input
// ObjectInspector that can be used to initialize the UDTF. Then, the
// resulting output object inspector can be used to make the RowResolver
// for the UDTF operator
RowResolver selectRR = opParseCtx.get(input).getRowResolver();
ArrayList<ColumnInfo> inputCols = selectRR.getColumnInfos();
// Create the object inspector for the input columns and initialize the UDTF
ArrayList<String> colNames = new ArrayList<String>();
ObjectInspector[] colOIs = new ObjectInspector[inputCols.size()];
for (int i = 0; i < inputCols.size(); i++) {
colNames.add(inputCols.get(i).getInternalName());
colOIs[i] = inputCols.get(i).getObjectInspector();
}
StructObjectInspector outputOI = genericUDTF.initialize(colOIs);
int numUdtfCols = outputOI.getAllStructFieldRefs().size();
if (colAliases.isEmpty()) {
// user did not specfied alias names, infer names from outputOI
for (StructField field : outputOI.getAllStructFieldRefs()) {
colAliases.add(field.getFieldName());
}
}
// Make sure that the number of column aliases in the AS clause matches
// the number of columns output by the UDTF
int numSuppliedAliases = colAliases.size();
if (numUdtfCols != numSuppliedAliases) {
throw new SemanticException(ErrorMsg.UDTF_ALIAS_MISMATCH
.getMsg("expected " + numUdtfCols + " aliases " + "but got "
+ numSuppliedAliases));
}
// Generate the output column info's / row resolver using internal names.
ArrayList<ColumnInfo> udtfCols = new ArrayList<ColumnInfo>();
Iterator<String> colAliasesIter = colAliases.iterator();
for (StructField sf : outputOI.getAllStructFieldRefs()) {
String colAlias = colAliasesIter.next();
assert (colAlias != null);
// Since the UDTF operator feeds into a LVJ operator that will rename
// all the internal names, we can just use field name from the UDTF's OI
// as the internal name
ColumnInfo col = new ColumnInfo(sf.getFieldName(), TypeInfoUtils
.getTypeInfoFromObjectInspector(sf.getFieldObjectInspector()),
outputTableAlias, false);
udtfCols.add(col);
}
// Create the row resolver for this operator from the output columns
RowResolver out_rwsch = new RowResolver();
for (int i = 0; i < udtfCols.size(); i++) {
out_rwsch.put(outputTableAlias, colAliases.get(i), udtfCols.get(i));
}
// Add the UDTFOperator to the operator DAG
Operator<?> udtf = putOpInsertMap(OperatorFactory.getAndMakeChild(
new UDTFDesc(genericUDTF, outerLV), new RowSchema(out_rwsch.getColumnInfos()),
input), out_rwsch);
return udtf;
}
@SuppressWarnings("nls")
private Operator genLimitMapRedPlan(String dest, QB qb, Operator input,
int limit, boolean extraMRStep) throws SemanticException {
// A map-only job can be optimized - instead of converting it to a
// map-reduce job, we can have another map
// job to do the same to avoid the cost of sorting in the map-reduce phase.
// A better approach would be to
// write into a local file and then have a map-only job.
// Add the limit operator to get the value fields
Operator curr = genLimitPlan(dest, qb, input, limit);
// the client requested that an extra map-reduce step be performed
if (!extraMRStep) {
return curr;
}
// Create a reduceSink operator followed by another limit
curr = genReduceSinkPlan(dest, qb, curr, 1);
return genLimitPlan(dest, qb, curr, limit);
}
private ArrayList<ExprNodeDesc> getParitionColsFromBucketCols(String dest, QB qb, Table tab,
TableDesc table_desc, Operator input, boolean convert)
throws SemanticException {
List<String> tabBucketCols = tab.getBucketCols();
List<FieldSchema> tabCols = tab.getCols();
// Partition by the bucketing column
List<Integer> posns = new ArrayList<Integer>();
for (String bucketCol : tabBucketCols) {
int pos = 0;
for (FieldSchema tabCol : tabCols) {
if (bucketCol.equals(tabCol.getName())) {
posns.add(pos);
break;
}
pos++;
}
}
return genConvertCol(dest, qb, tab, table_desc, input, posns, convert);
}
private ArrayList<ExprNodeDesc> genConvertCol(String dest, QB qb, Table tab,
TableDesc table_desc, Operator input, List<Integer> posns, boolean convert)
throws SemanticException {
StructObjectInspector oi = null;
try {
Deserializer deserializer = table_desc.getDeserializerClass()
.newInstance();
deserializer.initialize(conf, table_desc.getProperties());
oi = (StructObjectInspector) deserializer.getObjectInspector();
} catch (Exception e) {
throw new SemanticException(e);
}
List<? extends StructField> tableFields = oi.getAllStructFieldRefs();
ArrayList<ColumnInfo> rowFields = opParseCtx.get(input).getRowResolver()
.getColumnInfos();
// Check column type
int columnNumber = posns.size();
ArrayList<ExprNodeDesc> expressions = new ArrayList<ExprNodeDesc>(columnNumber);
for (Integer posn : posns) {
ObjectInspector tableFieldOI = tableFields.get(posn).getFieldObjectInspector();
TypeInfo tableFieldTypeInfo = TypeInfoUtils.getTypeInfoFromObjectInspector(tableFieldOI);
TypeInfo rowFieldTypeInfo = rowFields.get(posn).getType();
ExprNodeDesc column = new ExprNodeColumnDesc(rowFieldTypeInfo,
rowFields.get(posn).getInternalName(), rowFields.get(posn).getTabAlias(),
rowFields.get(posn).getIsVirtualCol());
if (convert && !tableFieldTypeInfo.equals(rowFieldTypeInfo)) {
// need to do some conversions here
if (tableFieldTypeInfo.getCategory() != Category.PRIMITIVE) {
// cannot convert to complex types
column = null;
} else {
column = ParseUtils.createConversionCast(
column, (PrimitiveTypeInfo)tableFieldTypeInfo);
}
if (column == null) {
String reason = "Cannot convert column " + posn + " from "
+ rowFieldTypeInfo + " to " + tableFieldTypeInfo + ".";
throw new SemanticException(ErrorMsg.TARGET_TABLE_COLUMN_MISMATCH
.getMsg(qb.getParseInfo().getDestForClause(dest), reason));
}
}
expressions.add(column);
}
return expressions;
}
private ArrayList<ExprNodeDesc> getSortCols(String dest, QB qb, Table tab, TableDesc table_desc,
Operator input, boolean convert)
throws SemanticException {
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
List<Order> tabSortCols = tab.getSortCols();
List<FieldSchema> tabCols = tab.getCols();
// Partition by the bucketing column
List<Integer> posns = new ArrayList<Integer>();
for (Order sortCol : tabSortCols) {
int pos = 0;
for (FieldSchema tabCol : tabCols) {
if (sortCol.getCol().equals(tabCol.getName())) {
ColumnInfo colInfo = inputRR.getColumnInfos().get(pos);
posns.add(pos);
break;
}
pos++;
}
}
return genConvertCol(dest, qb, tab, table_desc, input, posns, convert);
}
private ArrayList<Integer> getSortOrders(String dest, QB qb, Table tab, Operator input)
throws SemanticException {
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
List<Order> tabSortCols = tab.getSortCols();
List<FieldSchema> tabCols = tab.getCols();
ArrayList<Integer> orders = new ArrayList<Integer>();
for (Order sortCol : tabSortCols) {
for (FieldSchema tabCol : tabCols) {
if (sortCol.getCol().equals(tabCol.getName())) {
orders.add(sortCol.getOrder());
break;
}
}
}
return orders;
}
@SuppressWarnings("nls")
private Operator genReduceSinkPlanForSortingBucketing(Table tab, Operator input,
ArrayList<ExprNodeDesc> sortCols,
List<Integer> sortOrders,
ArrayList<ExprNodeDesc> partitionCols,
int numReducers)
throws SemanticException {
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
// For the generation of the values expression just get the inputs
// signature and generate field expressions for those
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
ArrayList<ExprNodeDesc> valueCols = new ArrayList<ExprNodeDesc>();
for (ColumnInfo colInfo : inputRR.getColumnInfos()) {
valueCols.add(new ExprNodeColumnDesc(colInfo.getType(), colInfo
.getInternalName(), colInfo.getTabAlias(), colInfo
.getIsVirtualCol()));
colExprMap.put(colInfo.getInternalName(), valueCols
.get(valueCols.size() - 1));
}
ArrayList<String> outputColumns = new ArrayList<String>();
for (int i = 0; i < valueCols.size(); i++) {
outputColumns.add(getColumnInternalName(i));
}
StringBuilder order = new StringBuilder();
for (int sortOrder : sortOrders) {
order.append(sortOrder == BaseSemanticAnalyzer.HIVE_COLUMN_ORDER_ASC ? '+' : '-');
}
Operator interim = putOpInsertMap(OperatorFactory.getAndMakeChild(PlanUtils
.getReduceSinkDesc(sortCols, valueCols, outputColumns, false, -1,
partitionCols, order.toString(), numReducers),
new RowSchema(inputRR.getColumnInfos()), input), inputRR);
interim.setColumnExprMap(colExprMap);
reduceSinkOperatorsAddedByEnforceBucketingSorting.add((ReduceSinkOperator) interim);
// Add the extract operator to get the value fields
RowResolver out_rwsch = new RowResolver();
RowResolver interim_rwsch = inputRR;
Integer pos = Integer.valueOf(0);
for (ColumnInfo colInfo : interim_rwsch.getColumnInfos()) {
String[] info = interim_rwsch.reverseLookup(colInfo.getInternalName());
out_rwsch.put(info[0], info[1], new ColumnInfo(
getColumnInternalName(pos), colInfo.getType(), info[0],
colInfo.getIsVirtualCol(), colInfo.isHiddenVirtualCol()));
pos = Integer.valueOf(pos.intValue() + 1);
}
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(
new ExtractDesc(new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo,
Utilities.ReduceField.VALUE.toString(), "", false)), new RowSchema(
out_rwsch.getColumnInfos()), interim), out_rwsch);
if (LOG.isDebugEnabled()) {
LOG.debug("Created ReduceSink Plan for table: " + tab.getTableName() +
" row schema: " + out_rwsch.toString());
}
return output;
}
@SuppressWarnings("nls")
private Operator genReduceSinkPlan(String dest, QB qb, Operator input,
int numReducers) throws SemanticException {
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
// First generate the expression for the partition and sort keys
// The cluster by clause / distribute by clause has the aliases for
// partition function
ASTNode partitionExprs = qb.getParseInfo().getClusterByForClause(dest);
if (partitionExprs == null) {
partitionExprs = qb.getParseInfo().getDistributeByForClause(dest);
}
ArrayList<ExprNodeDesc> partitionCols = new ArrayList<ExprNodeDesc>();
if (partitionExprs != null) {
int ccount = partitionExprs.getChildCount();
for (int i = 0; i < ccount; ++i) {
ASTNode cl = (ASTNode) partitionExprs.getChild(i);
partitionCols.add(genExprNodeDesc(cl, inputRR));
}
}
ASTNode sortExprs = qb.getParseInfo().getClusterByForClause(dest);
if (sortExprs == null) {
sortExprs = qb.getParseInfo().getSortByForClause(dest);
}
if (sortExprs == null) {
sortExprs = qb.getParseInfo().getOrderByForClause(dest);
if (sortExprs != null) {
assert numReducers == 1;
// in strict mode, in the presence of order by, limit must be specified
Integer limit = qb.getParseInfo().getDestLimit(dest);
if (conf.getVar(HiveConf.ConfVars.HIVEMAPREDMODE).equalsIgnoreCase(
"strict")
&& limit == null) {
throw new SemanticException(generateErrorMessage(sortExprs,
ErrorMsg.NO_LIMIT_WITH_ORDERBY.getMsg()));
}
}
}
ArrayList<ExprNodeDesc> sortCols = new ArrayList<ExprNodeDesc>();
StringBuilder order = new StringBuilder();
if (sortExprs != null) {
int ccount = sortExprs.getChildCount();
for (int i = 0; i < ccount; ++i) {
ASTNode cl = (ASTNode) sortExprs.getChild(i);
if (cl.getType() == HiveParser.TOK_TABSORTCOLNAMEASC) {
// SortBy ASC
order.append("+");
cl = (ASTNode) cl.getChild(0);
} else if (cl.getType() == HiveParser.TOK_TABSORTCOLNAMEDESC) {
// SortBy DESC
order.append("-");
cl = (ASTNode) cl.getChild(0);
} else {
// ClusterBy
order.append("+");
}
ExprNodeDesc exprNode = genExprNodeDesc(cl, inputRR);
sortCols.add(exprNode);
}
}
// For the generation of the values expression just get the inputs
// signature and generate field expressions for those
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
ArrayList<ExprNodeDesc> valueCols = new ArrayList<ExprNodeDesc>();
for (ColumnInfo colInfo : inputRR.getColumnInfos()) {
valueCols.add(new ExprNodeColumnDesc(colInfo.getType(), colInfo
.getInternalName(), colInfo.getTabAlias(), colInfo
.getIsVirtualCol()));
colExprMap.put(colInfo.getInternalName(), valueCols
.get(valueCols.size() - 1));
}
ArrayList<String> outputColumns = new ArrayList<String>();
for (int i = 0; i < valueCols.size(); i++) {
outputColumns.add(getColumnInternalName(i));
}
Operator interim = putOpInsertMap(OperatorFactory.getAndMakeChild(PlanUtils
.getReduceSinkDesc(sortCols, valueCols, outputColumns, false, -1,
partitionCols, order.toString(), numReducers),
new RowSchema(inputRR.getColumnInfos()), input), inputRR);
interim.setColumnExprMap(colExprMap);
// Add the extract operator to get the value fields
RowResolver out_rwsch = new RowResolver();
RowResolver interim_rwsch = inputRR;
Integer pos = Integer.valueOf(0);
for (ColumnInfo colInfo : interim_rwsch.getColumnInfos()) {
String[] info = interim_rwsch.reverseLookup(colInfo.getInternalName());
out_rwsch.put(info[0], info[1], new ColumnInfo(
getColumnInternalName(pos), colInfo.getType(), info[0],
colInfo.getIsVirtualCol(), colInfo.isHiddenVirtualCol()));
pos = Integer.valueOf(pos.intValue() + 1);
}
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(
new ExtractDesc(new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo,
Utilities.ReduceField.VALUE.toString(), "", false)), new RowSchema(
out_rwsch.getColumnInfos()), interim), out_rwsch);
if (LOG.isDebugEnabled()) {
LOG.debug("Created ReduceSink Plan for clause: " + dest + " row schema: "
+ out_rwsch.toString());
}
return output;
}
private Operator genJoinOperatorChildren(QBJoinTree join, Operator left,
Operator[] right, HashSet<Integer> omitOpts) throws SemanticException {
RowResolver outputRS = new RowResolver();
ArrayList<String> outputColumnNames = new ArrayList<String>();
// all children are base classes
Operator<?>[] rightOps = new Operator[right.length];
int outputPos = 0;
Map<String, Byte> reversedExprs = new HashMap<String, Byte>();
HashMap<Byte, List<ExprNodeDesc>> exprMap = new HashMap<Byte, List<ExprNodeDesc>>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
HashMap<Integer, Set<String>> posToAliasMap = new HashMap<Integer, Set<String>>();
HashMap<Byte, List<ExprNodeDesc>> filterMap =
new HashMap<Byte, List<ExprNodeDesc>>();
for (int pos = 0; pos < right.length; ++pos) {
Operator input = right[pos];
if (input == null) {
input = left;
}
ArrayList<ExprNodeDesc> keyDesc = new ArrayList<ExprNodeDesc>();
ArrayList<ExprNodeDesc> filterDesc = new ArrayList<ExprNodeDesc>();
Byte tag = Byte.valueOf((byte) (((ReduceSinkDesc) (input.getConf()))
.getTag()));
// check whether this input operator produces output
if (omitOpts == null || !omitOpts.contains(pos)) {
// prepare output descriptors for the input opt
RowResolver inputRS = opParseCtx.get(input).getRowResolver();
Iterator<String> keysIter = inputRS.getTableNames().iterator();
Set<String> aliases = posToAliasMap.get(pos);
if (aliases == null) {
aliases = new HashSet<String>();
posToAliasMap.put(pos, aliases);
}
while (keysIter.hasNext()) {
String key = keysIter.next();
aliases.add(key);
HashMap<String, ColumnInfo> map = inputRS.getFieldMap(key);
Iterator<String> fNamesIter = map.keySet().iterator();
while (fNamesIter.hasNext()) {
String field = fNamesIter.next();
ColumnInfo valueInfo = inputRS.get(key, field);
keyDesc.add(new ExprNodeColumnDesc(valueInfo.getType(), valueInfo
.getInternalName(), valueInfo.getTabAlias(), valueInfo
.getIsVirtualCol()));
if (outputRS.get(key, field) == null) {
String colName = getColumnInternalName(outputPos);
outputPos++;
outputColumnNames.add(colName);
colExprMap.put(colName, keyDesc.get(keyDesc.size() - 1));
outputRS.put(key, field, new ColumnInfo(colName, valueInfo
.getType(), key, valueInfo.getIsVirtualCol(), valueInfo
.isHiddenVirtualCol()));
reversedExprs.put(colName, tag);
}
}
}
for (ASTNode cond : join.getFilters().get(tag)) {
filterDesc.add(genExprNodeDesc(cond, inputRS));
}
}
exprMap.put(tag, keyDesc);
filterMap.put(tag, filterDesc);
rightOps[pos] = input;
}
JoinCondDesc[] joinCondns = new JoinCondDesc[join.getJoinCond().length];
for (int i = 0; i < join.getJoinCond().length; i++) {
JoinCond condn = join.getJoinCond()[i];
joinCondns[i] = new JoinCondDesc(condn);
}
JoinDesc desc = new JoinDesc(exprMap, outputColumnNames,
join.getNoOuterJoin(), joinCondns, filterMap);
desc.setReversedExprs(reversedExprs);
desc.setFilterMap(join.getFilterMap());
JoinOperator joinOp = (JoinOperator) OperatorFactory.getAndMakeChild(desc,
new RowSchema(outputRS.getColumnInfos()), rightOps);
joinOp.setColumnExprMap(colExprMap);
joinOp.setPosToAliasMap(posToAliasMap);
if (join.getNullSafes() != null) {
boolean[] nullsafes = new boolean[join.getNullSafes().size()];
for (int i = 0; i < nullsafes.length; i++) {
nullsafes[i] = join.getNullSafes().get(i);
}
desc.setNullSafes(nullsafes);
}
return putOpInsertMap(joinOp, outputRS);
}
@SuppressWarnings("nls")
private Operator genJoinReduceSinkChild(QB qb, QBJoinTree joinTree,
Operator child, String srcName, int pos) throws SemanticException {
RowResolver inputRS = opParseCtx.get(child).getRowResolver();
RowResolver outputRS = new RowResolver();
ArrayList<String> outputColumns = new ArrayList<String>();
ArrayList<ExprNodeDesc> reduceKeys = new ArrayList<ExprNodeDesc>();
// Compute join keys and store in reduceKeys
ArrayList<ASTNode> exprs = joinTree.getExpressions().get(pos);
for (int i = 0; i < exprs.size(); i++) {
ASTNode expr = exprs.get(i);
reduceKeys.add(genExprNodeDesc(expr, inputRS));
}
// Walk over the input row resolver and copy in the output
ArrayList<ExprNodeDesc> reduceValues = new ArrayList<ExprNodeDesc>();
Iterator<String> tblNamesIter = inputRS.getTableNames().iterator();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
while (tblNamesIter.hasNext()) {
String src = tblNamesIter.next();
HashMap<String, ColumnInfo> fMap = inputRS.getFieldMap(src);
for (Map.Entry<String, ColumnInfo> entry : fMap.entrySet()) {
String field = entry.getKey();
ColumnInfo valueInfo = entry.getValue();
ExprNodeColumnDesc inputExpr = new ExprNodeColumnDesc(valueInfo
.getType(), valueInfo.getInternalName(), valueInfo.getTabAlias(),
valueInfo.getIsVirtualCol());
reduceValues.add(inputExpr);
if (outputRS.get(src, field) == null) {
String col = getColumnInternalName(reduceValues.size() - 1);
outputColumns.add(col);
ColumnInfo newColInfo = new ColumnInfo(Utilities.ReduceField.VALUE
.toString()
+ "." + col, valueInfo.getType(), src, valueInfo
.getIsVirtualCol(), valueInfo.isHiddenVirtualCol());
colExprMap.put(newColInfo.getInternalName(), inputExpr);
outputRS.put(src, field, newColInfo);
}
}
}
int numReds = -1;
// Use only 1 reducer in case of cartesian product
if (reduceKeys.size() == 0) {
numReds = 1;
// Cartesian product is not supported in strict mode
if (conf.getVar(HiveConf.ConfVars.HIVEMAPREDMODE).equalsIgnoreCase(
"strict")) {
throw new SemanticException(ErrorMsg.NO_CARTESIAN_PRODUCT.getMsg());
}
}
ReduceSinkOperator rsOp = (ReduceSinkOperator) putOpInsertMap(
OperatorFactory.getAndMakeChild(PlanUtils.getReduceSinkDesc(reduceKeys,
reduceValues, outputColumns, false, joinTree.getNextTag(),
reduceKeys.size(), numReds), new RowSchema(outputRS
.getColumnInfos()), child), outputRS);
rsOp.setColumnExprMap(colExprMap);
rsOp.setInputAlias(srcName);
return rsOp;
}
private Operator genJoinOperator(QB qb, QBJoinTree joinTree,
Map<String, Operator> map) throws SemanticException {
QBJoinTree leftChild = joinTree.getJoinSrc();
Operator joinSrcOp = null;
if (leftChild != null) {
Operator joinOp = genJoinOperator(qb, leftChild, map);
ArrayList<ASTNode> filter = joinTree.getFiltersForPushing().get(0);
for (ASTNode cond : filter) {
joinOp = genFilterPlan(qb, cond, joinOp);
}
joinSrcOp = genJoinReduceSinkChild(qb, joinTree, joinOp, null, 0);
}
Operator[] srcOps = new Operator[joinTree.getBaseSrc().length];
HashSet<Integer> omitOpts = null; // set of input to the join that should be
// omitted by the output
int pos = 0;
for (String src : joinTree.getBaseSrc()) {
if (src != null) {
Operator srcOp = map.get(src.toLowerCase());
// for left-semi join, generate an additional selection & group-by
// operator before ReduceSink
ArrayList<ASTNode> fields = joinTree.getRHSSemijoinColumns(src);
if (fields != null) {
// the RHS table columns should be not be output from the join
if (omitOpts == null) {
omitOpts = new HashSet<Integer>();
}
omitOpts.add(pos);
// generate a selection operator for group-by keys only
srcOp = insertSelectForSemijoin(fields, srcOp);
// generate a groupby operator (HASH mode) for a map-side partial
// aggregation for semijoin
srcOp = genMapGroupByForSemijoin(qb, fields, srcOp,
GroupByDesc.Mode.HASH);
}
// generate a ReduceSink operator for the join
srcOps[pos] = genJoinReduceSinkChild(qb, joinTree, srcOp, src, pos);
pos++;
} else {
assert pos == 0;
srcOps[pos++] = null;
}
}
// Type checking and implicit type conversion for join keys
genJoinOperatorTypeCheck(joinSrcOp, srcOps);
JoinOperator joinOp = (JoinOperator) genJoinOperatorChildren(joinTree,
joinSrcOp, srcOps, omitOpts);
joinContext.put(joinOp, joinTree);
return joinOp;
}
/**
* Construct a selection operator for semijoin that filter out all fields
* other than the group by keys.
*
* @param fields
* list of fields need to be output
* @param input
* input operator
* @return the selection operator.
* @throws SemanticException
*/
private Operator insertSelectForSemijoin(ArrayList<ASTNode> fields,
Operator input) throws SemanticException {
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
ArrayList<ExprNodeDesc> colList = new ArrayList<ExprNodeDesc>();
ArrayList<String> columnNames = new ArrayList<String>();
// construct the list of columns that need to be projected
for (ASTNode field : fields) {
ExprNodeColumnDesc exprNode = (ExprNodeColumnDesc) genExprNodeDesc(field,
inputRR);
colList.add(exprNode);
columnNames.add(exprNode.getColumn());
}
// create selection operator
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(
new SelectDesc(colList, columnNames, false), new RowSchema(inputRR
.getColumnInfos()), input), inputRR);
output.setColumnExprMap(input.getColumnExprMap());
return output;
}
private Operator genMapGroupByForSemijoin(QB qb, ArrayList<ASTNode> fields, // the
// ASTNode
// of
// the
// join
// key
// "tab.col"
Operator inputOperatorInfo, GroupByDesc.Mode mode)
throws SemanticException {
RowResolver groupByInputRowResolver = opParseCtx.get(inputOperatorInfo)
.getRowResolver();
RowResolver groupByOutputRowResolver = new RowResolver();
ArrayList<ExprNodeDesc> groupByKeys = new ArrayList<ExprNodeDesc>();
ArrayList<String> outputColumnNames = new ArrayList<String>();
ArrayList<AggregationDesc> aggregations = new ArrayList<AggregationDesc>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
qb.getParseInfo();
groupByOutputRowResolver.setIsExprResolver(true); // join keys should only
// be columns but not be
// expressions
for (int i = 0; i < fields.size(); ++i) {
// get the group by keys to ColumnInfo
ASTNode colName = fields.get(i);
ExprNodeDesc grpByExprNode = genExprNodeDesc(colName,
groupByInputRowResolver);
groupByKeys.add(grpByExprNode);
// generate output column names
String field = getColumnInternalName(i);
outputColumnNames.add(field);
ColumnInfo colInfo2 = new ColumnInfo(field, grpByExprNode.getTypeInfo(),
"", false);
groupByOutputRowResolver.putExpression(colName, colInfo2);
// establish mapping from the output column to the input column
colExprMap.put(field, grpByExprNode);
}
// Generate group-by operator
float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
float memoryThreshold = HiveConf
.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(
new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations,
false, groupByMemoryUsage, memoryThreshold, null, false, 0, false),
new RowSchema(groupByOutputRowResolver.getColumnInfos()),
inputOperatorInfo), groupByOutputRowResolver);
op.setColumnExprMap(colExprMap);
return op;
}
private void genJoinOperatorTypeCheck(Operator left, Operator[] right)
throws SemanticException {
// keys[i] -> ArrayList<exprNodeDesc> for the i-th join operator key list
ArrayList<ArrayList<ExprNodeDesc>> keys = new ArrayList<ArrayList<ExprNodeDesc>>();
int keyLength = 0;
for (int i = 0; i < right.length; i++) {
Operator oi = (i == 0 && right[i] == null ? left : right[i]);
ReduceSinkDesc now = ((ReduceSinkOperator) (oi)).getConf();
if (i == 0) {
keyLength = now.getKeyCols().size();
} else {
assert (keyLength == now.getKeyCols().size());
}
keys.add(now.getKeyCols());
}
// implicit type conversion hierarchy
for (int k = 0; k < keyLength; k++) {
// Find the common class for type conversion
TypeInfo commonType = keys.get(0).get(k).getTypeInfo();
for (int i = 1; i < right.length; i++) {
TypeInfo a = commonType;
TypeInfo b = keys.get(i).get(k).getTypeInfo();
commonType = FunctionRegistry.getCommonClassForComparison(a, b);
if (commonType == null) {
throw new SemanticException(
"Cannot do equality join on different types: " + a.getTypeName()
+ " and " + b.getTypeName());
}
}
// Add implicit type conversion if necessary
for (int i = 0; i < right.length; i++) {
if (TypeInfoUtils.isConversionRequiredForComparison(
keys.get(i).get(k).getTypeInfo(),
commonType)) {
keys.get(i).set(
k,
ParseUtils.createConversionCast(
keys.get(i).get(k), (PrimitiveTypeInfo)commonType));
}
}
}
// regenerate keySerializationInfo because the ReduceSinkOperator's
// output key types might have changed.
for (int i = 0; i < right.length; i++) {
Operator oi = (i == 0 && right[i] == null ? left : right[i]);
ReduceSinkDesc now = ((ReduceSinkOperator) (oi)).getConf();
now.setKeySerializeInfo(PlanUtils.getReduceKeyTableDesc(PlanUtils
.getFieldSchemasFromColumnList(now.getKeyCols(), "joinkey"), now
.getOrder()));
}
}
private Operator genJoinPlan(QB qb, Map<String, Operator> map)
throws SemanticException {
QBJoinTree joinTree = qb.getQbJoinTree();
Operator joinOp = genJoinOperator(qb, joinTree, map);
return joinOp;
}
/**
* Extract the filters from the join condition and push them on top of the
* source operators. This procedure traverses the query tree recursively,
*/
private void pushJoinFilters(QB qb, QBJoinTree joinTree,
Map<String, Operator> map) throws SemanticException {
if (joinTree.getJoinSrc() != null) {
pushJoinFilters(qb, joinTree.getJoinSrc(), map);
}
ArrayList<ArrayList<ASTNode>> filters = joinTree.getFiltersForPushing();
int pos = 0;
for (String src : joinTree.getBaseSrc()) {
if (src != null) {
Operator srcOp = map.get(src);
ArrayList<ASTNode> filter = filters.get(pos);
for (ASTNode cond : filter) {
srcOp = genFilterPlan(qb, cond, srcOp);
}
map.put(src, srcOp);
}
pos++;
}
}
private List<String> getMapSideJoinTables(QB qb) {
List<String> cols = new ArrayList<String>();
ASTNode hints = qb.getParseInfo().getHints();
for (int pos = 0; pos < hints.getChildCount(); pos++) {
ASTNode hint = (ASTNode) hints.getChild(pos);
if (((ASTNode) hint.getChild(0)).getToken().getType() == HiveParser.TOK_MAPJOIN) {
// the user has specified to ignore mapjoin hint
if (!conf.getBoolVar(HiveConf.ConfVars.HIVEIGNOREMAPJOINHINT)) {
ASTNode hintTblNames = (ASTNode) hint.getChild(1);
int numCh = hintTblNames.getChildCount();
for (int tblPos = 0; tblPos < numCh; tblPos++) {
String tblName = ((ASTNode) hintTblNames.getChild(tblPos)).getText()
.toLowerCase();
if (!cols.contains(tblName)) {
cols.add(tblName);
}
}
}
else {
queryProperties.setMapJoinRemoved(true);
}
}
}
return cols;
}
// The join alias is modified before being inserted for consumption by sort-merge
// join queries. If the join is part of a sub-query the alias is modified to include
// the sub-query alias.
private String getModifiedAlias(QB qb, String alias) {
return QB.getAppendedAliasFromId(qb.getId(), alias);
}
private QBJoinTree genUniqueJoinTree(QB qb, ASTNode joinParseTree,
Map<String, Operator> aliasToOpInfo)
throws SemanticException {
QBJoinTree joinTree = new QBJoinTree();
joinTree.setNoOuterJoin(false);
joinTree.setExpressions(new ArrayList<ArrayList<ASTNode>>());
joinTree.setFilters(new ArrayList<ArrayList<ASTNode>>());
joinTree.setFiltersForPushing(new ArrayList<ArrayList<ASTNode>>());
// Create joinTree structures to fill them up later
ArrayList<String> rightAliases = new ArrayList<String>();
ArrayList<String> leftAliases = new ArrayList<String>();
ArrayList<String> baseSrc = new ArrayList<String>();
ArrayList<Boolean> preserved = new ArrayList<Boolean>();
boolean lastPreserved = false;
int cols = -1;
for (int i = 0; i < joinParseTree.getChildCount(); i++) {
ASTNode child = (ASTNode) joinParseTree.getChild(i);
switch (child.getToken().getType()) {
case HiveParser.TOK_TABREF:
// Handle a table - populate aliases appropriately:
// leftAliases should contain the first table, rightAliases should
// contain all other tables and baseSrc should contain all tables
String tableName = getUnescapedUnqualifiedTableName((ASTNode) child.getChild(0));
String alias = child.getChildCount() == 1 ? tableName
: unescapeIdentifier(child.getChild(child.getChildCount() - 1)
.getText().toLowerCase());
if (i == 0) {
leftAliases.add(alias);
joinTree.setLeftAlias(alias);
} else {
rightAliases.add(alias);
}
joinTree.getAliasToOpInfo().put(
getModifiedAlias(qb, alias), aliasToOpInfo.get(alias));
joinTree.setId(qb.getId());
baseSrc.add(alias);
preserved.add(lastPreserved);
lastPreserved = false;
break;
case HiveParser.TOK_EXPLIST:
if (cols == -1 && child.getChildCount() != 0) {
cols = child.getChildCount();
} else if (child.getChildCount() != cols) {
throw new SemanticException("Tables with different or invalid "
+ "number of keys in UNIQUEJOIN");
}
ArrayList<ASTNode> expressions = new ArrayList<ASTNode>();
ArrayList<ASTNode> filt = new ArrayList<ASTNode>();
ArrayList<ASTNode> filters = new ArrayList<ASTNode>();
for (Node exp : child.getChildren()) {
expressions.add((ASTNode) exp);
}
joinTree.getExpressions().add(expressions);
joinTree.getFilters().add(filt);
joinTree.getFiltersForPushing().add(filters);
break;
case HiveParser.KW_PRESERVE:
lastPreserved = true;
break;
case HiveParser.TOK_SUBQUERY:
throw new SemanticException(
"Subqueries are not supported in UNIQUEJOIN");
default:
throw new SemanticException("Unexpected UNIQUEJOIN structure");
}
}
joinTree.setBaseSrc(baseSrc.toArray(new String[0]));
joinTree.setLeftAliases(leftAliases.toArray(new String[0]));
joinTree.setRightAliases(rightAliases.toArray(new String[0]));
JoinCond[] condn = new JoinCond[preserved.size()];
for (int i = 0; i < condn.length; i++) {
condn[i] = new JoinCond(preserved.get(i));
}
joinTree.setJoinCond(condn);
if (qb.getParseInfo().getHints() != null) {
parseStreamTables(joinTree, qb);
}
return joinTree;
}
private QBJoinTree genJoinTree(QB qb, ASTNode joinParseTree,
Map<String, Operator> aliasToOpInfo)
throws SemanticException {
QBJoinTree joinTree = new QBJoinTree();
JoinCond[] condn = new JoinCond[1];
switch (joinParseTree.getToken().getType()) {
case HiveParser.TOK_LEFTOUTERJOIN:
joinTree.setNoOuterJoin(false);
condn[0] = new JoinCond(0, 1, JoinType.LEFTOUTER);
break;
case HiveParser.TOK_RIGHTOUTERJOIN:
joinTree.setNoOuterJoin(false);
condn[0] = new JoinCond(0, 1, JoinType.RIGHTOUTER);
break;
case HiveParser.TOK_FULLOUTERJOIN:
joinTree.setNoOuterJoin(false);
condn[0] = new JoinCond(0, 1, JoinType.FULLOUTER);
break;
case HiveParser.TOK_LEFTSEMIJOIN:
joinTree.setNoSemiJoin(false);
condn[0] = new JoinCond(0, 1, JoinType.LEFTSEMI);
break;
default:
condn[0] = new JoinCond(0, 1, JoinType.INNER);
joinTree.setNoOuterJoin(true);
break;
}
joinTree.setJoinCond(condn);
ASTNode left = (ASTNode) joinParseTree.getChild(0);
ASTNode right = (ASTNode) joinParseTree.getChild(1);
if ((left.getToken().getType() == HiveParser.TOK_TABREF)
|| (left.getToken().getType() == HiveParser.TOK_SUBQUERY)
|| (left.getToken().getType() == HiveParser.TOK_PTBLFUNCTION)) {
String tableName = getUnescapedUnqualifiedTableName((ASTNode) left.getChild(0))
.toLowerCase();
String alias = left.getChildCount() == 1 ? tableName
: unescapeIdentifier(left.getChild(left.getChildCount() - 1)
.getText().toLowerCase());
// ptf node form is: ^(TOK_PTBLFUNCTION $name $alias? partitionTableFunctionSource partitioningSpec? expression*)
// guranteed to have an lias here: check done in processJoin
alias = (left.getToken().getType() == HiveParser.TOK_PTBLFUNCTION) ?
unescapeIdentifier(left.getChild(1).getText().toLowerCase()) :
alias;
joinTree.setLeftAlias(alias);
String[] leftAliases = new String[1];
leftAliases[0] = alias;
joinTree.setLeftAliases(leftAliases);
String[] children = new String[2];
children[0] = alias;
joinTree.setBaseSrc(children);
joinTree.setId(qb.getId());
joinTree.getAliasToOpInfo().put(
getModifiedAlias(qb, alias), aliasToOpInfo.get(alias));
} else if (isJoinToken(left)) {
QBJoinTree leftTree = genJoinTree(qb, left, aliasToOpInfo);
joinTree.setJoinSrc(leftTree);
String[] leftChildAliases = leftTree.getLeftAliases();
String leftAliases[] = new String[leftChildAliases.length + 1];
for (int i = 0; i < leftChildAliases.length; i++) {
leftAliases[i] = leftChildAliases[i];
}
leftAliases[leftChildAliases.length] = leftTree.getRightAliases()[0];
joinTree.setLeftAliases(leftAliases);
} else {
assert (false);
}
if ((right.getToken().getType() == HiveParser.TOK_TABREF)
|| (right.getToken().getType() == HiveParser.TOK_SUBQUERY)
|| (right.getToken().getType() == HiveParser.TOK_PTBLFUNCTION)) {
String tableName = getUnescapedUnqualifiedTableName((ASTNode) right.getChild(0))
.toLowerCase();
String alias = right.getChildCount() == 1 ? tableName
: unescapeIdentifier(right.getChild(right.getChildCount() - 1)
.getText().toLowerCase());
// ptf node form is: ^(TOK_PTBLFUNCTION $name $alias? partitionTableFunctionSource partitioningSpec? expression*)
// guranteed to have an lias here: check done in processJoin
alias = (right.getToken().getType() == HiveParser.TOK_PTBLFUNCTION) ?
unescapeIdentifier(right.getChild(1).getText().toLowerCase()) :
alias;
String[] rightAliases = new String[1];
rightAliases[0] = alias;
joinTree.setRightAliases(rightAliases);
String[] children = joinTree.getBaseSrc();
if (children == null) {
children = new String[2];
}
children[1] = alias;
joinTree.setBaseSrc(children);
joinTree.setId(qb.getId());
joinTree.getAliasToOpInfo().put(
getModifiedAlias(qb, alias), aliasToOpInfo.get(alias));
// remember rhs table for semijoin
if (joinTree.getNoSemiJoin() == false) {
joinTree.addRHSSemijoin(alias);
}
} else {
assert false;
}
ArrayList<ArrayList<ASTNode>> expressions = new ArrayList<ArrayList<ASTNode>>();
expressions.add(new ArrayList<ASTNode>());
expressions.add(new ArrayList<ASTNode>());
joinTree.setExpressions(expressions);
ArrayList<Boolean> nullsafes = new ArrayList<Boolean>();
joinTree.setNullSafes(nullsafes);
ArrayList<ArrayList<ASTNode>> filters = new ArrayList<ArrayList<ASTNode>>();
filters.add(new ArrayList<ASTNode>());
filters.add(new ArrayList<ASTNode>());
joinTree.setFilters(filters);
joinTree.setFilterMap(new int[2][]);
ArrayList<ArrayList<ASTNode>> filtersForPushing =
new ArrayList<ArrayList<ASTNode>>();
filtersForPushing.add(new ArrayList<ASTNode>());
filtersForPushing.add(new ArrayList<ASTNode>());
joinTree.setFiltersForPushing(filtersForPushing);
ASTNode joinCond = (ASTNode) joinParseTree.getChild(2);
ArrayList<String> leftSrc = new ArrayList<String>();
parseJoinCondition(joinTree, joinCond, leftSrc);
if (leftSrc.size() == 1) {
joinTree.setLeftAlias(leftSrc.get(0));
}
// check the hints to see if the user has specified a map-side join. This
// will be removed later on, once the cost-based
// infrastructure is in place
if (qb.getParseInfo().getHints() != null) {
List<String> mapSideTables = getMapSideJoinTables(qb);
List<String> mapAliases = joinTree.getMapAliases();
for (String mapTbl : mapSideTables) {
boolean mapTable = false;
for (String leftAlias : joinTree.getLeftAliases()) {
if (mapTbl.equalsIgnoreCase(leftAlias)) {
mapTable = true;
}
}
for (String rightAlias : joinTree.getRightAliases()) {
if (mapTbl.equalsIgnoreCase(rightAlias)) {
mapTable = true;
}
}
if (mapTable) {
if (mapAliases == null) {
mapAliases = new ArrayList<String>();
}
mapAliases.add(mapTbl);
joinTree.setMapSideJoin(true);
}
}
joinTree.setMapAliases(mapAliases);
parseStreamTables(joinTree, qb);
}
return joinTree;
}
private void parseStreamTables(QBJoinTree joinTree, QB qb) {
List<String> streamAliases = joinTree.getStreamAliases();
for (Node hintNode : qb.getParseInfo().getHints().getChildren()) {
ASTNode hint = (ASTNode) hintNode;
if (hint.getChild(0).getType() == HiveParser.TOK_STREAMTABLE) {
for (int i = 0; i < hint.getChild(1).getChildCount(); i++) {
if (streamAliases == null) {
streamAliases = new ArrayList<String>();
}
streamAliases.add(hint.getChild(1).getChild(i).getText());
}
}
}
joinTree.setStreamAliases(streamAliases);
}
/**
* Merges node to target
*/
private void mergeJoins(QB qb, QBJoinTree node, QBJoinTree target, int pos) {
String[] nodeRightAliases = node.getRightAliases();
String[] trgtRightAliases = target.getRightAliases();
String[] rightAliases = new String[nodeRightAliases.length
+ trgtRightAliases.length];
for (int i = 0; i < trgtRightAliases.length; i++) {
rightAliases[i] = trgtRightAliases[i];
}
for (int i = 0; i < nodeRightAliases.length; i++) {
rightAliases[i + trgtRightAliases.length] = nodeRightAliases[i];
}
target.setRightAliases(rightAliases);
target.getAliasToOpInfo().putAll(node.getAliasToOpInfo());
String[] nodeBaseSrc = node.getBaseSrc();
String[] trgtBaseSrc = target.getBaseSrc();
String[] baseSrc = new String[nodeBaseSrc.length + trgtBaseSrc.length - 1];
for (int i = 0; i < trgtBaseSrc.length; i++) {
baseSrc[i] = trgtBaseSrc[i];
}
for (int i = 1; i < nodeBaseSrc.length; i++) {
baseSrc[i + trgtBaseSrc.length - 1] = nodeBaseSrc[i];
}
target.setBaseSrc(baseSrc);
ArrayList<ArrayList<ASTNode>> expr = target.getExpressions();
for (int i = 0; i < nodeRightAliases.length; i++) {
expr.add(node.getExpressions().get(i + 1));
}
ArrayList<Boolean> nns = node.getNullSafes();
ArrayList<Boolean> tns = target.getNullSafes();
for (int i = 0; i < tns.size(); i++) {
tns.set(i, tns.get(i) & nns.get(i)); // any of condition contains non-NS, non-NS
}
ArrayList<ArrayList<ASTNode>> filters = target.getFilters();
for (int i = 0; i < nodeRightAliases.length; i++) {
filters.add(node.getFilters().get(i + 1));
}
if (node.getFilters().get(0).size() != 0) {
ArrayList<ASTNode> filterPos = filters.get(pos);
filterPos.addAll(node.getFilters().get(0));
}
int[][] nmap = node.getFilterMap();
int[][] tmap = target.getFilterMap();
int[][] newmap = new int[tmap.length + nmap.length - 1][];
for (int[] mapping : nmap) {
if (mapping != null) {
for (int i = 0; i < mapping.length; i += 2) {
if (pos > 0 || mapping[i] > 0) {
mapping[i] += trgtRightAliases.length;
}
}
}
}
if (nmap[0] != null) {
if (tmap[pos] == null) {
tmap[pos] = nmap[0];
} else {
int[] appended = new int[tmap[pos].length + nmap[0].length];
System.arraycopy(tmap[pos], 0, appended, 0, tmap[pos].length);
System.arraycopy(nmap[0], 0, appended, tmap[pos].length, nmap[0].length);
tmap[pos] = appended;
}
}
System.arraycopy(tmap, 0, newmap, 0, tmap.length);
System.arraycopy(nmap, 1, newmap, tmap.length, nmap.length - 1);
target.setFilterMap(newmap);
ArrayList<ArrayList<ASTNode>> filter = target.getFiltersForPushing();
for (int i = 0; i < nodeRightAliases.length; i++) {
filter.add(node.getFiltersForPushing().get(i + 1));
}
if (node.getFiltersForPushing().get(0).size() != 0) {
ArrayList<ASTNode> filterPos = filter.get(pos);
filterPos.addAll(node.getFiltersForPushing().get(0));
}
if (node.getNoOuterJoin() && target.getNoOuterJoin()) {
target.setNoOuterJoin(true);
} else {
target.setNoOuterJoin(false);
}
if (node.getNoSemiJoin() && target.getNoSemiJoin()) {
target.setNoSemiJoin(true);
} else {
target.setNoSemiJoin(false);
}
target.mergeRHSSemijoin(node);
JoinCond[] nodeCondns = node.getJoinCond();
int nodeCondnsSize = nodeCondns.length;
JoinCond[] targetCondns = target.getJoinCond();
int targetCondnsSize = targetCondns.length;
JoinCond[] newCondns = new JoinCond[nodeCondnsSize + targetCondnsSize];
for (int i = 0; i < targetCondnsSize; i++) {
newCondns[i] = targetCondns[i];
}
for (int i = 0; i < nodeCondnsSize; i++) {
JoinCond nodeCondn = nodeCondns[i];
if (nodeCondn.getLeft() == 0) {
nodeCondn.setLeft(pos);
} else {
nodeCondn.setLeft(nodeCondn.getLeft() + targetCondnsSize);
}
nodeCondn.setRight(nodeCondn.getRight() + targetCondnsSize);
newCondns[targetCondnsSize + i] = nodeCondn;
}
target.setJoinCond(newCondns);
if (target.isMapSideJoin()) {
assert node.isMapSideJoin();
List<String> mapAliases = target.getMapAliases();
for (String mapTbl : node.getMapAliases()) {
if (!mapAliases.contains(mapTbl)) {
mapAliases.add(mapTbl);
}
}
target.setMapAliases(mapAliases);
}
}
private int findMergePos(QBJoinTree node, QBJoinTree target) {
int res = -1;
String leftAlias = node.getLeftAlias();
if (leftAlias == null) {
return -1;
}
ArrayList<ASTNode> nodeCondn = node.getExpressions().get(0);
ArrayList<ASTNode> targetCondn = null;
if (leftAlias.equals(target.getLeftAlias())) {
targetCondn = target.getExpressions().get(0);
res = 0;
} else {
for (int i = 0; i < target.getRightAliases().length; i++) {
if (leftAlias.equals(target.getRightAliases()[i])) {
targetCondn = target.getExpressions().get(i + 1);
res = i + 1;
break;
}
}
}
if ((targetCondn == null) || (nodeCondn.size() != targetCondn.size())) {
return -1;
}
for (int i = 0; i < nodeCondn.size(); i++) {
if (!nodeCondn.get(i).toStringTree().equals(
targetCondn.get(i).toStringTree())) {
return -1;
}
}
return res;
}
// try merge join tree from inner most source
// (it was merged from outer most to inner, which could be invalid)
//
// in a join tree ((A-B)-C)-D where C is not mergeable with A-B,
// D can be merged with A-B into single join If and only if C and D has same join type
// In this case, A-B-D join will be executed first and ABD-C join will be executed in next
private void mergeJoinTree(QB qb) {
QBJoinTree tree = qb.getQbJoinTree();
if (tree.getJoinSrc() == null) {
return;
}
// make array with QBJoinTree : outer most(0) --> inner most(n)
List<QBJoinTree> trees = new ArrayList<QBJoinTree>();
for (;tree != null; tree = tree.getJoinSrc()) {
trees.add(tree);
}
// merging from 'target'(inner) to 'node'(outer)
for (int i = trees.size() - 1; i >= 0; i--) {
QBJoinTree target = trees.get(i);
if (target == null) {
continue;
}
JoinType prevType = null; // save join type
for (int j = i - 1; j >= 0; j--) {
QBJoinTree node = trees.get(j);
if (node == null) {
continue;
}
JoinType currType = getType(node.getJoinCond());
if (prevType != null && prevType != currType) {
break;
}
int pos = findMergePos(node, target);
if (pos >= 0) {
// for outer joins, it should not exceed 16 aliases (short type)
if (!node.getNoOuterJoin() || !target.getNoOuterJoin()) {
if (node.getRightAliases().length + target.getRightAliases().length + 1 > 16) {
LOG.info(ErrorMsg.JOINNODE_OUTERJOIN_MORETHAN_16);
continue;
}
}
mergeJoins(qb, node, target, pos);
trees.set(j, null);
continue; // continue merging with next alias
}
if (prevType == null) {
prevType = currType;
}
}
}
// reconstruct join tree
QBJoinTree current = null;
for (int i = 0; i < trees.size(); i++) {
QBJoinTree target = trees.get(i);
if (target == null) {
continue;
}
if (current == null) {
qb.setQbJoinTree(current = target);
} else {
current.setJoinSrc(target);
current = target;
}
}
}
// Join types should be all the same for merging (or returns null)
private JoinType getType(JoinCond[] conds) {
JoinType type = conds[0].getJoinType();
for (int k = 1; k < conds.length; k++) {
if (type != conds[k].getJoinType()) {
return null;
}
}
return type;
}
private Operator insertSelectAllPlanForGroupBy(Operator input)
throws SemanticException {
OpParseContext inputCtx = opParseCtx.get(input);
RowResolver inputRR = inputCtx.getRowResolver();
ArrayList<ColumnInfo> columns = inputRR.getColumnInfos();
ArrayList<ExprNodeDesc> colList = new ArrayList<ExprNodeDesc>();
ArrayList<String> columnNames = new ArrayList<String>();
Map<String, ExprNodeDesc> columnExprMap =
new HashMap<String, ExprNodeDesc>();
for (int i = 0; i < columns.size(); i++) {
ColumnInfo col = columns.get(i);
colList.add(new ExprNodeColumnDesc(col.getType(), col.getInternalName(),
col.getTabAlias(), col.getIsVirtualCol()));
columnNames.add(col.getInternalName());
columnExprMap.put(col.getInternalName(),
new ExprNodeColumnDesc(col.getType(), col.getInternalName(),
col.getTabAlias(), col.getIsVirtualCol()));
}
Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(
new SelectDesc(colList, columnNames, true), new RowSchema(inputRR
.getColumnInfos()), input), inputRR);
output.setColumnExprMap(columnExprMap);
return output;
}
// Return the common distinct expression
// There should be more than 1 destination, with group bys in all of them.
private List<ASTNode> getCommonDistinctExprs(QB qb, Operator input) {
QBParseInfo qbp = qb.getParseInfo();
// If a grouping set aggregation is present, common processing is not possible
if (!qbp.getDestCubes().isEmpty() || !qbp.getDestRollups().isEmpty()
|| !qbp.getDestToLateralView().isEmpty()) {
return null;
}
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
TreeSet<String> ks = new TreeSet<String>();
ks.addAll(qbp.getClauseNames());
// Go over all the destination tables
if (ks.size() <= 1) {
return null;
}
List<ExprNodeDesc> oldList = null;
List<ASTNode> oldASTList = null;
for (String dest : ks) {
// If a filter is present, common processing is not possible
if (qbp.getWhrForClause(dest) != null) {
return null;
}
if (qbp.getAggregationExprsForClause(dest).size() == 0
&& getGroupByForClause(qbp, dest).size() == 0) {
return null;
}
// All distinct expressions must be the same
List<ASTNode> list = qbp.getDistinctFuncExprsForClause(dest);
if (list.isEmpty()) {
return null;
}
List<ExprNodeDesc> currDestList;
try {
currDestList = getDistinctExprs(qbp, dest, inputRR);
} catch (SemanticException e) {
return null;
}
List<ASTNode> currASTList = new ArrayList<ASTNode>();
for (ASTNode value : list) {
// 0 is function name
for (int i = 1; i < value.getChildCount(); i++) {
ASTNode parameter = (ASTNode) value.getChild(i);
currASTList.add(parameter);
}
if (oldList == null) {
oldList = currDestList;
oldASTList = currASTList;
} else {
if (!matchExprLists(oldList, currDestList)) {
return null;
}
}
}
}
return oldASTList;
}
private Operator createCommonReduceSink(QB qb, Operator input)
throws SemanticException {
// Go over all the tables and extract the common distinct key
List<ASTNode> distExprs = getCommonDistinctExprs(qb, input);
QBParseInfo qbp = qb.getParseInfo();
TreeSet<String> ks = new TreeSet<String>();
ks.addAll(qbp.getClauseNames());
// Pass the entire row
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
RowResolver reduceSinkOutputRowResolver = new RowResolver();
reduceSinkOutputRowResolver.setIsExprResolver(true);
ArrayList<ExprNodeDesc> reduceKeys = new ArrayList<ExprNodeDesc>();
ArrayList<ExprNodeDesc> reduceValues = new ArrayList<ExprNodeDesc>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
// Pre-compute distinct group-by keys and store in reduceKeys
List<String> outputColumnNames = new ArrayList<String>();
for (ASTNode distn : distExprs) {
ExprNodeDesc distExpr = genExprNodeDesc(distn, inputRR);
if (reduceSinkOutputRowResolver.getExpression(distn) == null) {
reduceKeys.add(distExpr);
outputColumnNames.add(getColumnInternalName(reduceKeys.size() - 1));
String field = Utilities.ReduceField.KEY.toString() + "."
+ getColumnInternalName(reduceKeys.size() - 1);
ColumnInfo colInfo = new ColumnInfo(field, reduceKeys.get(
reduceKeys.size() - 1).getTypeInfo(), "", false);
reduceSinkOutputRowResolver.putExpression(distn, colInfo);
colExprMap.put(colInfo.getInternalName(), distExpr);
}
}
// Go over all the grouping keys and aggregations
for (String dest : ks) {
List<ASTNode> grpByExprs = getGroupByForClause(qbp, dest);
for (int i = 0; i < grpByExprs.size(); ++i) {
ASTNode grpbyExpr = grpByExprs.get(i);
if (reduceSinkOutputRowResolver.getExpression(grpbyExpr) == null) {
ExprNodeDesc grpByExprNode = genExprNodeDesc(grpbyExpr, inputRR);
reduceValues.add(grpByExprNode);
String field = Utilities.ReduceField.VALUE.toString() + "."
+ getColumnInternalName(reduceValues.size() - 1);
ColumnInfo colInfo = new ColumnInfo(field, reduceValues.get(
reduceValues.size() - 1).getTypeInfo(), "", false);
reduceSinkOutputRowResolver.putExpression(grpbyExpr, colInfo);
outputColumnNames.add(getColumnInternalName(reduceValues.size() - 1));
colExprMap.put(field, grpByExprNode);
}
}
// For each aggregation
HashMap<String, ASTNode> aggregationTrees = qbp
.getAggregationExprsForClause(dest);
assert (aggregationTrees != null);
for (Map.Entry<String, ASTNode> entry : aggregationTrees.entrySet()) {
ASTNode value = entry.getValue();
// 0 is the function name
for (int i = 1; i < value.getChildCount(); i++) {
ASTNode paraExpr = (ASTNode) value.getChild(i);
if (reduceSinkOutputRowResolver.getExpression(paraExpr) == null) {
ExprNodeDesc paraExprNode = genExprNodeDesc(paraExpr, inputRR);
reduceValues.add(paraExprNode);
String field = Utilities.ReduceField.VALUE.toString() + "."
+ getColumnInternalName(reduceValues.size() - 1);
ColumnInfo colInfo = new ColumnInfo(field, reduceValues.get(
reduceValues.size() - 1).getTypeInfo(), "", false);
reduceSinkOutputRowResolver.putExpression(paraExpr, colInfo);
outputColumnNames
.add(getColumnInternalName(reduceValues.size() - 1));
colExprMap.put(field, paraExprNode);
}
}
}
}
ReduceSinkOperator rsOp = (ReduceSinkOperator) putOpInsertMap(
OperatorFactory.getAndMakeChild(PlanUtils.getReduceSinkDesc(reduceKeys,
reduceValues, outputColumnNames, true, -1, reduceKeys.size(), -1),
new RowSchema(reduceSinkOutputRowResolver.getColumnInfos()), input),
reduceSinkOutputRowResolver);
rsOp.setColumnExprMap(colExprMap);
return rsOp;
}
// Groups the clause names into lists so that any two clauses in the same list has the same
// group by and distinct keys and no clause appears in more than one list. Returns a list of the
// lists of clauses.
private List<List<String>> getCommonGroupByDestGroups(QB qb,
Map<String, Operator<? extends OperatorDesc>> inputs) throws SemanticException {
QBParseInfo qbp = qb.getParseInfo();
TreeSet<String> ks = new TreeSet<String>();
ks.addAll(qbp.getClauseNames());
List<List<String>> commonGroupByDestGroups = new ArrayList<List<String>>();
// If this is a trivial query block return
if (ks.size() <= 1) {
List<String> oneList = new ArrayList<String>(1);
if (ks.size() == 1) {
oneList.add(ks.first());
}
commonGroupByDestGroups.add(oneList);
return commonGroupByDestGroups;
}
List<Operator<? extends OperatorDesc>> inputOperators =
new ArrayList<Operator<? extends OperatorDesc>>(ks.size());
List<List<ExprNodeDesc>> sprayKeyLists = new ArrayList<List<ExprNodeDesc>>(ks.size());
List<List<ExprNodeDesc>> distinctKeyLists = new ArrayList<List<ExprNodeDesc>>(ks.size());
// Iterate over each clause
for (String dest : ks) {
Operator input = inputs.get(dest);
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
List<ExprNodeDesc> distinctKeys = getDistinctExprs(qbp, dest, inputRR);
List<ExprNodeDesc> sprayKeys = new ArrayList<ExprNodeDesc>();
// Add the group by expressions
List<ASTNode> grpByExprs = getGroupByForClause(qbp, dest);
for (ASTNode grpByExpr : grpByExprs) {
ExprNodeDesc exprDesc = genExprNodeDesc(grpByExpr, inputRR);
if (ExprNodeDescUtils.indexOf(exprDesc, sprayKeys) < 0) {
sprayKeys.add(exprDesc);
}
}
// Loop through each of the lists of exprs, looking for a match
boolean found = false;
for (int i = 0; i < sprayKeyLists.size(); i++) {
if (!input.equals(inputOperators.get(i))) {
continue;
}
if (distinctKeys.isEmpty()) {
// current dest has no distinct keys.
List<ExprNodeDesc> combinedList = new ArrayList<ExprNodeDesc>();
combineExprNodeLists(sprayKeyLists.get(i), distinctKeyLists.get(i), combinedList);
if (!matchExprLists(combinedList, sprayKeys)) {
continue;
} // else do the common code at the end.
} else {
if (distinctKeyLists.get(i).isEmpty()) {
List<ExprNodeDesc> combinedList = new ArrayList<ExprNodeDesc>();
combineExprNodeLists(sprayKeys, distinctKeys, combinedList);
if (!matchExprLists(combinedList, sprayKeyLists.get(i))) {
continue;
} else {
// we have found a match. insert this distinct clause to head.
distinctKeyLists.remove(i);
sprayKeyLists.remove(i);
distinctKeyLists.add(i, distinctKeys);
sprayKeyLists.add(i, sprayKeys);
commonGroupByDestGroups.get(i).add(0, dest);
found = true;
break;
}
} else {
if (!matchExprLists(distinctKeyLists.get(i), distinctKeys)) {
continue;
}
if (!matchExprLists(sprayKeyLists.get(i), sprayKeys)) {
continue;
}
// else do common code
}
}
// common code
// A match was found, so add the clause to the corresponding list
commonGroupByDestGroups.get(i).add(dest);
found = true;
break;
}
// No match was found, so create new entries
if (!found) {
inputOperators.add(input);
sprayKeyLists.add(sprayKeys);
distinctKeyLists.add(distinctKeys);
List<String> destGroup = new ArrayList<String>();
destGroup.add(dest);
commonGroupByDestGroups.add(destGroup);
}
}
return commonGroupByDestGroups;
}
private void combineExprNodeLists(List<ExprNodeDesc> list, List<ExprNodeDesc> list2,
List<ExprNodeDesc> combinedList) {
combinedList.addAll(list);
for (ExprNodeDesc elem : list2) {
if (!combinedList.contains(elem)) {
combinedList.add(elem);
}
}
}
// Returns whether or not two lists contain the same elements independent of order
private boolean matchExprLists(List<ExprNodeDesc> list1, List<ExprNodeDesc> list2) {
if (list1.size() != list2.size()) {
return false;
}
for (ExprNodeDesc exprNodeDesc : list1) {
if (ExprNodeDescUtils.indexOf(exprNodeDesc, list2) < 0) {
return false;
}
}
return true;
}
// Returns a list of the distinct exprs without duplicates for a given clause name
private List<ExprNodeDesc> getDistinctExprs(QBParseInfo qbp, String dest, RowResolver inputRR)
throws SemanticException {
List<ASTNode> distinctAggExprs = qbp.getDistinctFuncExprsForClause(dest);
List<ExprNodeDesc> distinctExprs = new ArrayList<ExprNodeDesc>();
for (ASTNode distinctAggExpr : distinctAggExprs) {
// 0 is function name
for (int i = 1; i < distinctAggExpr.getChildCount(); i++) {
ASTNode parameter = (ASTNode) distinctAggExpr.getChild(i);
ExprNodeDesc expr = genExprNodeDesc(parameter, inputRR);
if (ExprNodeDescUtils.indexOf(expr, distinctExprs) < 0) {
distinctExprs.add(expr);
}
}
}
return distinctExprs;
}
// see if there are any distinct expressions
private boolean distinctExprsExists(QB qb) {
QBParseInfo qbp = qb.getParseInfo();
TreeSet<String> ks = new TreeSet<String>();
ks.addAll(qbp.getClauseNames());
for (String dest : ks) {
List<ASTNode> list = qbp.getDistinctFuncExprsForClause(dest);
if (!list.isEmpty()) {
return true;
}
}
return false;
}
@SuppressWarnings("nls")
private Operator genBodyPlan(QB qb, Operator input) throws SemanticException {
QBParseInfo qbp = qb.getParseInfo();
TreeSet<String> ks = new TreeSet<String>(qbp.getClauseNames());
Map<String, Operator<? extends OperatorDesc>> inputs = createInputForDests(qb, input, ks);
// For multi-group by with the same distinct, we ignore all user hints
// currently. It doesnt matter whether he has asked to do
// map-side aggregation or not. Map side aggregation is turned off
List<ASTNode> commonDistinctExprs = getCommonDistinctExprs(qb, input);
// Consider a query like:
//
// from src
// insert overwrite table dest1 select col1, count(distinct colx) group by col1
// insert overwrite table dest2 select col2, count(distinct colx) group by col2;
//
// With HIVE_OPTIMIZE_MULTI_GROUPBY_COMMON_DISTINCTS set to true, first we spray by the distinct
// value (colx), and then perform the 2 groups bys. This makes sense if map-side aggregation is
// turned off. However, with maps-side aggregation, it might be useful in some cases to treat
// the 2 inserts independently, thereby performing the query above in 2MR jobs instead of 3
// (due to spraying by distinct key first).
boolean optimizeMultiGroupBy = commonDistinctExprs != null &&
conf.getBoolVar(HiveConf.ConfVars.HIVE_OPTIMIZE_MULTI_GROUPBY_COMMON_DISTINCTS);
Operator curr = input;
// if there is a single distinct, optimize that. Spray initially by the
// distinct key,
// no computation at the mapper. Have multiple group by operators at the
// reducer - and then
// proceed
if (optimizeMultiGroupBy) {
curr = createCommonReduceSink(qb, input);
RowResolver currRR = opParseCtx.get(curr).getRowResolver();
// create a forward operator
input = putOpInsertMap(OperatorFactory.getAndMakeChild(new ForwardDesc(),
new RowSchema(currRR.getColumnInfos()), curr), currRR);
for (String dest : ks) {
curr = input;
curr = genGroupByPlan2MRMultiGroupBy(dest, qb, curr);
curr = genSelectPlan(dest, qb, curr);
Integer limit = qbp.getDestLimit(dest);
if (limit != null) {
curr = genLimitMapRedPlan(dest, qb, curr, limit.intValue(), true);
qb.getParseInfo().setOuterQueryLimit(limit.intValue());
}
curr = genFileSinkPlan(dest, qb, curr);
}
} else {
List<List<String>> commonGroupByDestGroups = null;
// If we can put multiple group bys in a single reducer, determine suitable groups of
// expressions, otherwise treat all the expressions as a single group
if (conf.getBoolVar(HiveConf.ConfVars.HIVEMULTIGROUPBYSINGLEREDUCER)) {
try {
commonGroupByDestGroups = getCommonGroupByDestGroups(qb, inputs);
} catch (SemanticException e) {
LOG.error("Failed to group clauses by common spray keys.", e);
}
}
if (commonGroupByDestGroups == null) {
commonGroupByDestGroups = new ArrayList<List<String>>();
commonGroupByDestGroups.add(new ArrayList<String>(ks));
}
if (!commonGroupByDestGroups.isEmpty()) {
// Iterate over each group of subqueries with the same group by/distinct keys
for (List<String> commonGroupByDestGroup : commonGroupByDestGroups) {
if (commonGroupByDestGroup.isEmpty()) {
continue;
}
String firstDest = commonGroupByDestGroup.get(0);
input = inputs.get(firstDest);
// Constructs a standard group by plan if:
// There is no other subquery with the same group by/distinct keys or
// (There are no aggregations in a representative query for the group and
// There is no group by in that representative query) or
// The data is skewed or
// The conf variable used to control combining group bys into a single reducer is false
if (commonGroupByDestGroup.size() == 1 ||
(qbp.getAggregationExprsForClause(firstDest).size() == 0 &&
getGroupByForClause(qbp, firstDest).size() == 0) ||
conf.getBoolVar(HiveConf.ConfVars.HIVEGROUPBYSKEW) ||
!conf.getBoolVar(HiveConf.ConfVars.HIVEMULTIGROUPBYSINGLEREDUCER)) {
// Go over all the destination tables
for (String dest : commonGroupByDestGroup) {
curr = inputs.get(dest);
if (qbp.getWhrForClause(dest) != null) {
curr = genFilterPlan(dest, qb, curr);
}
if (qbp.getAggregationExprsForClause(dest).size() != 0
|| getGroupByForClause(qbp, dest).size() > 0) {
// multiple distincts is not supported with skew in data
if (conf.getBoolVar(HiveConf.ConfVars.HIVEGROUPBYSKEW) &&
qbp.getDistinctFuncExprsForClause(dest).size() > 1) {
throw new SemanticException(ErrorMsg.UNSUPPORTED_MULTIPLE_DISTINCTS.
getMsg());
}
// insert a select operator here used by the ColumnPruner to reduce
// the data to shuffle
curr = insertSelectAllPlanForGroupBy(curr);
if (conf.getBoolVar(HiveConf.ConfVars.HIVEMAPSIDEAGGREGATE)) {
if (!conf.getBoolVar(HiveConf.ConfVars.HIVEGROUPBYSKEW)) {
curr = genGroupByPlanMapAggrNoSkew(dest, qb, curr);
} else {
curr = genGroupByPlanMapAggr2MR(dest, qb, curr);
}
} else if (conf.getBoolVar(HiveConf.ConfVars.HIVEGROUPBYSKEW)) {
curr = genGroupByPlan2MR(dest, qb, curr);
} else {
curr = genGroupByPlan1MR(dest, qb, curr);
}
}
curr = genPostGroupByBodyPlan(curr, dest, qb);
}
} else {
curr = genGroupByPlan1ReduceMultiGBY(commonGroupByDestGroup, qb, input);
}
}
}
}
if (LOG.isDebugEnabled()) {
LOG.debug("Created Body Plan for Query Block " + qb.getId());
}
return curr;
}
private Map<String, Operator<? extends OperatorDesc>> createInputForDests(QB qb,
Operator<? extends OperatorDesc> input, Set<String> dests) throws SemanticException {
Map<String, Operator<? extends OperatorDesc>> inputs =
new HashMap<String, Operator<? extends OperatorDesc>>();
for (String dest : dests) {
inputs.put(dest, genLateralViewPlanForDest(dest, qb, input));
}
return inputs;
}
private Operator genPostGroupByBodyPlan(Operator curr, String dest, QB qb)
throws SemanticException {
QBParseInfo qbp = qb.getParseInfo();
// Insert HAVING plan here
if (qbp.getHavingForClause(dest) != null) {
if (getGroupByForClause(qbp, dest).size() == 0) {
throw new SemanticException("HAVING specified without GROUP BY");
}
curr = genHavingPlan(dest, qb, curr);
}
if(queryProperties.hasWindowing() && qb.getWindowingSpec(dest) != null) {
curr = genWindowingPlan(qb.getWindowingSpec(dest), curr);
}
curr = genSelectPlan(dest, qb, curr);
Integer limit = qbp.getDestLimit(dest);
// Expressions are not supported currently without a alias.
// Reduce sink is needed if the query contains a cluster by, distribute by,
// order by or a sort by clause.
boolean genReduceSink = false;
// Currently, expressions are not allowed in cluster by, distribute by,
// order by or a sort by clause. For each of the above clause types, check
// if the clause contains any expression.
if (qbp.getClusterByForClause(dest) != null) {
genReduceSink = true;
}
if (qbp.getDistributeByForClause(dest) != null) {
genReduceSink = true;
}
if (qbp.getOrderByForClause(dest) != null) {
genReduceSink = true;
}
if (qbp.getSortByForClause(dest) != null) {
genReduceSink = true;
}
if (genReduceSink) {
int numReducers = -1;
// Use only 1 reducer if order by is present
if (qbp.getOrderByForClause(dest) != null) {
numReducers = 1;
}
curr = genReduceSinkPlan(dest, qb, curr, numReducers);
}
if (qbp.getIsSubQ()) {
if (limit != null) {
// In case of order by, only 1 reducer is used, so no need of
// another shuffle
curr = genLimitMapRedPlan(dest, qb, curr, limit.intValue(), qbp
.getOrderByForClause(dest) != null ? false : true);
}
} else {
curr = genConversionOps(dest, qb, curr);
// exact limit can be taken care of by the fetch operator
if (limit != null) {
boolean extraMRStep = true;
if (qbp.getOrderByForClause(dest) != null ||
qb.getIsQuery() && qbp.getClusterByForClause(dest) == null &&
qbp.getSortByForClause(dest) == null) {
extraMRStep = false;
}
curr = genLimitMapRedPlan(dest, qb, curr, limit.intValue(),
extraMRStep);
qb.getParseInfo().setOuterQueryLimit(limit.intValue());
}
if (!SessionState.get().getHiveOperation().equals(HiveOperation.CREATEVIEW)) {
curr = genFileSinkPlan(dest, qb, curr);
}
}
// change curr ops row resolver's tab aliases to query alias if it
// exists
if (qb.getParseInfo().getAlias() != null) {
RowResolver rr = opParseCtx.get(curr).getRowResolver();
RowResolver newRR = new RowResolver();
String alias = qb.getParseInfo().getAlias();
for (ColumnInfo colInfo : rr.getColumnInfos()) {
String name = colInfo.getInternalName();
String[] tmp = rr.reverseLookup(name);
if ("".equals(tmp[0]) || tmp[1] == null) {
// ast expression is not a valid column name for table
tmp[1] = colInfo.getInternalName();
}
newRR.put(alias, tmp[1], colInfo);
}
opParseCtx.get(curr).setRowResolver(newRR);
}
return curr;
}
@SuppressWarnings("nls")
private Operator genUnionPlan(String unionalias, String leftalias,
Operator leftOp, String rightalias, Operator rightOp)
throws SemanticException {
// Currently, the unions are not merged - each union has only 2 parents. So,
// a n-way union will lead to (n-1) union operators.
// This can be easily merged into 1 union
RowResolver leftRR = opParseCtx.get(leftOp).getRowResolver();
RowResolver rightRR = opParseCtx.get(rightOp).getRowResolver();
HashMap<String, ColumnInfo> leftmap = leftRR.getFieldMap(leftalias);
HashMap<String, ColumnInfo> rightmap = rightRR.getFieldMap(rightalias);
// make sure the schemas of both sides are the same
ASTNode tabref = qb.getAliases().isEmpty() ? null :
qb.getParseInfo().getSrcForAlias(qb.getAliases().get(0));
if (leftmap.size() != rightmap.size()) {
throw new SemanticException("Schema of both sides of union should match.");
}
for (Map.Entry<String, ColumnInfo> lEntry : leftmap.entrySet()) {
String field = lEntry.getKey();
ColumnInfo lInfo = lEntry.getValue();
ColumnInfo rInfo = rightmap.get(field);
if (rInfo == null) {
throw new SemanticException(generateErrorMessage(tabref,
"Schema of both sides of union should match. " + rightalias
+ " does not have the field " + field));
}
if (lInfo == null) {
throw new SemanticException(generateErrorMessage(tabref,
"Schema of both sides of union should match. " + leftalias
+ " does not have the field " + field));
}
if (!lInfo.getInternalName().equals(rInfo.getInternalName())) {
throw new SemanticException(generateErrorMessage(tabref,
"Schema of both sides of union should match: field " + field + ":"
+ " appears on the left side of the UNION at column position: " +
getPositionFromInternalName(lInfo.getInternalName())
+ ", and on the right side of the UNION at column position: " +
getPositionFromInternalName(rInfo.getInternalName())
+ ". Column positions should match for a UNION"));
}
// try widening coversion, otherwise fail union
TypeInfo commonTypeInfo = FunctionRegistry.getCommonClassForUnionAll(lInfo.getType(),
rInfo.getType());
if (commonTypeInfo == null) {
throw new SemanticException(generateErrorMessage(tabref,
"Schema of both sides of union should match: Column " + field
+ " is of type " + lInfo.getType().getTypeName()
+ " on first table and type " + rInfo.getType().getTypeName()
+ " on second table"));
}
}
// construct the forward operator
RowResolver unionoutRR = new RowResolver();
for (Map.Entry<String, ColumnInfo> lEntry : leftmap.entrySet()) {
String field = lEntry.getKey();
ColumnInfo lInfo = lEntry.getValue();
ColumnInfo rInfo = rightmap.get(field);
ColumnInfo unionColInfo = new ColumnInfo(lInfo);
unionColInfo.setType(FunctionRegistry.getCommonClassForUnionAll(lInfo.getType(),
rInfo.getType()));
unionoutRR.put(unionalias, field, unionColInfo);
}
if (!(leftOp instanceof UnionOperator)) {
leftOp = genInputSelectForUnion(leftOp, leftmap, leftalias, unionoutRR, unionalias);
}
if (!(rightOp instanceof UnionOperator)) {
rightOp = genInputSelectForUnion(rightOp, rightmap, rightalias, unionoutRR, unionalias);
}
// If one of the children is a union, merge with it
// else create a new one
if ((leftOp instanceof UnionOperator) || (rightOp instanceof UnionOperator)) {
if (leftOp instanceof UnionOperator) {
// make left a child of right
List<Operator<? extends OperatorDesc>> child =
new ArrayList<Operator<? extends OperatorDesc>>();
child.add(leftOp);
rightOp.setChildOperators(child);
List<Operator<? extends OperatorDesc>> parent = leftOp
.getParentOperators();
parent.add(rightOp);
UnionDesc uDesc = ((UnionOperator) leftOp).getConf();
uDesc.setNumInputs(uDesc.getNumInputs() + 1);
return putOpInsertMap(leftOp, unionoutRR);
} else {
// make right a child of left
List<Operator<? extends OperatorDesc>> child =
new ArrayList<Operator<? extends OperatorDesc>>();
child.add(rightOp);
leftOp.setChildOperators(child);
List<Operator<? extends OperatorDesc>> parent = rightOp
.getParentOperators();
parent.add(leftOp);
UnionDesc uDesc = ((UnionOperator) rightOp).getConf();
uDesc.setNumInputs(uDesc.getNumInputs() + 1);
return putOpInsertMap(rightOp, unionoutRR);
}
}
// Create a new union operator
Operator<? extends OperatorDesc> unionforward = OperatorFactory
.getAndMakeChild(new UnionDesc(), new RowSchema(unionoutRR
.getColumnInfos()));
// set union operator as child of each of leftOp and rightOp
List<Operator<? extends OperatorDesc>> child =
new ArrayList<Operator<? extends OperatorDesc>>();
child.add(unionforward);
rightOp.setChildOperators(child);
child = new ArrayList<Operator<? extends OperatorDesc>>();
child.add(unionforward);
leftOp.setChildOperators(child);
List<Operator<? extends OperatorDesc>> parent =
new ArrayList<Operator<? extends OperatorDesc>>();
parent.add(leftOp);
parent.add(rightOp);
unionforward.setParentOperators(parent);
// create operator info list to return
return putOpInsertMap(unionforward, unionoutRR);
}
/**
* Generates a select operator which can go between the original input operator and the union
* operator. This select casts columns to match the type of the associated column in the union,
* other columns pass through unchanged. The new operator's only parent is the original input
* operator to the union, and it's only child is the union. If the input does not need to be
* cast, the original operator is returned, and no new select operator is added.
*
* @param origInputOp
* The original input operator to the union.
* @param origInputFieldMap
* A map from field name to ColumnInfo for the original input operator.
* @param origInputAlias
* The alias associated with the original input operator.
* @param unionoutRR
* The union's output row resolver.
* @param unionalias
* The alias of the union.
* @return
* @throws SemanticException
*/
private Operator<? extends OperatorDesc> genInputSelectForUnion(
Operator<? extends OperatorDesc> origInputOp, Map<String, ColumnInfo> origInputFieldMap,
String origInputAlias, RowResolver unionoutRR, String unionalias)
throws SemanticException {
List<ExprNodeDesc> columns = new ArrayList<ExprNodeDesc>();
boolean needsCast = false;
for (Map.Entry<String, ColumnInfo> unionEntry : unionoutRR.getFieldMap(unionalias).entrySet()) {
String field = unionEntry.getKey();
ColumnInfo lInfo = origInputFieldMap.get(field);
ExprNodeDesc column = new ExprNodeColumnDesc(lInfo.getType(), lInfo.getInternalName(),
lInfo.getTabAlias(), lInfo.getIsVirtualCol(), lInfo.isSkewedCol());
if (!lInfo.getType().equals(unionEntry.getValue().getType())) {
needsCast = true;
column = ParseUtils.createConversionCast(
column, (PrimitiveTypeInfo)unionEntry.getValue().getType());
}
columns.add(column);
}
// If none of the columns need to be cast there's no need for an additional select operator
if (!needsCast) {
return origInputOp;
}
RowResolver rowResolver = new RowResolver();
Map<String, ExprNodeDesc> columnExprMap = new HashMap<String, ExprNodeDesc>();
List<String> colName = new ArrayList<String>();
for (int i = 0; i < columns.size(); i++) {
String name = getColumnInternalName(i);
ColumnInfo col = new ColumnInfo(name, columns.get(i)
.getTypeInfo(), "", false);
rowResolver.put(origInputAlias, name, col);
colName.add(name);
columnExprMap.put(name, columns.get(i));
}
Operator<SelectDesc> newInputOp = OperatorFactory.getAndMakeChild(
new SelectDesc(columns, colName), new RowSchema(rowResolver.getColumnInfos()),
columnExprMap, origInputOp);
return putOpInsertMap(newInputOp, rowResolver);
}
/**
* Generates the sampling predicate from the TABLESAMPLE clause information.
* This function uses the bucket column list to decide the expression inputs
* to the predicate hash function in case useBucketCols is set to true,
* otherwise the expression list stored in the TableSample is used. The bucket
* columns of the table are used to generate this predicate in case no
* expressions are provided on the TABLESAMPLE clause and the table has
* clustering columns defined in it's metadata. The predicate created has the
* following structure:
*
* ((hash(expressions) & Integer.MAX_VALUE) % denominator) == numerator
*
* @param ts
* TABLESAMPLE clause information
* @param bucketCols
* The clustering columns of the table
* @param useBucketCols
* Flag to indicate whether the bucketCols should be used as input to
* the hash function
* @param alias
* The alias used for the table in the row resolver
* @param rwsch
* The row resolver used to resolve column references
* @param qbm
* The metadata information for the query block which is used to
* resolve unaliased columns
* @param planExpr
* The plan tree for the expression. If the user specified this, the
* parse expressions are not used
* @return exprNodeDesc
* @exception SemanticException
*/
private ExprNodeDesc genSamplePredicate(TableSample ts,
List<String> bucketCols, boolean useBucketCols, String alias,
RowResolver rwsch, QBMetaData qbm, ExprNodeDesc planExpr)
throws SemanticException {
ExprNodeDesc numeratorExpr = new ExprNodeConstantDesc(
TypeInfoFactory.intTypeInfo, Integer.valueOf(ts.getNumerator() - 1));
ExprNodeDesc denominatorExpr = new ExprNodeConstantDesc(
TypeInfoFactory.intTypeInfo, Integer.valueOf(ts.getDenominator()));
ExprNodeDesc intMaxExpr = new ExprNodeConstantDesc(
TypeInfoFactory.intTypeInfo, Integer.valueOf(Integer.MAX_VALUE));
ArrayList<ExprNodeDesc> args = new ArrayList<ExprNodeDesc>();
if (planExpr != null) {
args.add(planExpr);
} else if (useBucketCols) {
for (String col : bucketCols) {
ColumnInfo ci = rwsch.get(alias, col);
// TODO: change type to the one in the table schema
args.add(new ExprNodeColumnDesc(ci.getType(), ci.getInternalName(), ci
.getTabAlias(), ci.getIsVirtualCol()));
}
} else {
for (ASTNode expr : ts.getExprs()) {
args.add(genExprNodeDesc(expr, rwsch));
}
}
ExprNodeDesc equalsExpr = null;
{
ExprNodeDesc hashfnExpr = new ExprNodeGenericFuncDesc(
TypeInfoFactory.intTypeInfo, new GenericUDFHash(), args);
assert (hashfnExpr != null);
LOG.info("hashfnExpr = " + hashfnExpr);
ExprNodeDesc andExpr = TypeCheckProcFactory.DefaultExprProcessor
.getFuncExprNodeDesc("&", hashfnExpr, intMaxExpr);
assert (andExpr != null);
LOG.info("andExpr = " + andExpr);
ExprNodeDesc modExpr = TypeCheckProcFactory.DefaultExprProcessor
.getFuncExprNodeDesc("%", andExpr, denominatorExpr);
assert (modExpr != null);
LOG.info("modExpr = " + modExpr);
LOG.info("numeratorExpr = " + numeratorExpr);
equalsExpr = TypeCheckProcFactory.DefaultExprProcessor
.getFuncExprNodeDesc("==", modExpr, numeratorExpr);
LOG.info("equalsExpr = " + equalsExpr);
assert (equalsExpr != null);
}
return equalsExpr;
}
private String getAliasId(String alias, QB qb) {
return (qb.getId() == null ? alias : qb.getId() + ":" + alias);
}
@SuppressWarnings("nls")
private Operator genTablePlan(String alias, QB qb) throws SemanticException {
String alias_id = getAliasId(alias, qb);
Table tab = qb.getMetaData().getSrcForAlias(alias);
RowResolver rwsch;
// is the table already present
Operator<? extends OperatorDesc> top = topOps.get(alias_id);
Operator<? extends OperatorDesc> dummySel = topSelOps.get(alias_id);
if (dummySel != null) {
top = dummySel;
}
if (top == null) {
rwsch = new RowResolver();
try {
StructObjectInspector rowObjectInspector = (StructObjectInspector) tab
.getDeserializer().getObjectInspector();
List<? extends StructField> fields = rowObjectInspector
.getAllStructFieldRefs();
for (int i = 0; i < fields.size(); i++) {
/**
* if the column is a skewed column, use ColumnInfo accordingly
*/
ColumnInfo colInfo = new ColumnInfo(fields.get(i).getFieldName(),
TypeInfoUtils.getTypeInfoFromObjectInspector(fields.get(i)
.getFieldObjectInspector()), alias, false);
colInfo.setSkewedCol((isSkewedCol(alias, qb, fields.get(i)
.getFieldName())) ? true : false);
rwsch.put(alias, fields.get(i).getFieldName(), colInfo);
}
} catch (SerDeException e) {
throw new RuntimeException(e);
}
// Hack!! - refactor once the metadata APIs with types are ready
// Finally add the partitioning columns
for (FieldSchema part_col : tab.getPartCols()) {
LOG.trace("Adding partition col: " + part_col);
// TODO: use the right type by calling part_col.getType() instead of
// String.class. See HIVE-3059.
rwsch.put(alias, part_col.getName(), new ColumnInfo(part_col.getName(),
TypeInfoFactory.stringTypeInfo, alias, true));
}
// put all virutal columns in RowResolver.
Iterator<VirtualColumn> vcs = VirtualColumn.getRegistry(conf).iterator();
// use a list for easy cumtomize
List<VirtualColumn> vcList = new ArrayList<VirtualColumn>();
while (vcs.hasNext()) {
VirtualColumn vc = vcs.next();
rwsch.put(alias, vc.getName(), new ColumnInfo(vc.getName(),
vc.getTypeInfo(), alias, true, vc.getIsHidden()));
vcList.add(vc);
}
// Create the root of the operator tree
TableScanDesc tsDesc = new TableScanDesc(alias, vcList);
setupStats(tsDesc, qb.getParseInfo(), tab, alias, rwsch);
SplitSample sample = nameToSplitSample.get(alias_id);
if (sample != null && sample.getRowCount() != null) {
tsDesc.setRowLimit(sample.getRowCount());
nameToSplitSample.remove(alias_id);
}
top = putOpInsertMap(OperatorFactory.get(tsDesc,
new RowSchema(rwsch.getColumnInfos())), rwsch);
// Add this to the list of top operators - we always start from a table
// scan
topOps.put(alias_id, top);
// Add a mapping from the table scan operator to Table
topToTable.put((TableScanOperator) top, tab);
Map<String, String> props = qb.getTabPropsForAlias(alias);
if (props != null) {
topToTableProps.put((TableScanOperator) top, props);
}
} else {
rwsch = opParseCtx.get(top).getRowResolver();
top.setChildOperators(null);
}
// check if this table is sampled and needs more than input pruning
Operator<? extends OperatorDesc> tableOp = top;
TableSample ts = qb.getParseInfo().getTabSample(alias);
if (ts != null) {
int num = ts.getNumerator();
int den = ts.getDenominator();
ArrayList<ASTNode> sampleExprs = ts.getExprs();
// TODO: Do the type checking of the expressions
List<String> tabBucketCols = tab.getBucketCols();
int numBuckets = tab.getNumBuckets();
// If there are no sample cols and no bucket cols then throw an error
if (tabBucketCols.size() == 0 && sampleExprs.size() == 0) {
throw new SemanticException(ErrorMsg.NON_BUCKETED_TABLE.getMsg() + " "
+ tab.getTableName());
}
if (num > den) {
throw new SemanticException(
ErrorMsg.BUCKETED_NUMERATOR_BIGGER_DENOMINATOR.getMsg() + " "
+ tab.getTableName());
}
// check if a predicate is needed
// predicate is needed if either input pruning is not enough
// or if input pruning is not possible
// check if the sample columns are the same as the table bucket columns
boolean colsEqual = true;
if ((sampleExprs.size() != tabBucketCols.size())
&& (sampleExprs.size() != 0)) {
colsEqual = false;
}
for (int i = 0; i < sampleExprs.size() && colsEqual; i++) {
boolean colFound = false;
for (int j = 0; j < tabBucketCols.size() && !colFound; j++) {
if (sampleExprs.get(i).getToken().getType() != HiveParser.TOK_TABLE_OR_COL) {
break;
}
if (((ASTNode) sampleExprs.get(i).getChild(0)).getText()
.equalsIgnoreCase(tabBucketCols.get(j))) {
colFound = true;
}
}
colsEqual = (colsEqual && colFound);
}
// Check if input can be pruned
ts.setInputPruning((sampleExprs == null || sampleExprs.size() == 0 || colsEqual));
// check if input pruning is enough
if ((sampleExprs == null || sampleExprs.size() == 0 || colsEqual)
&& (num == den || (den % numBuckets == 0 || numBuckets % den == 0))) {
// input pruning is enough; add the filter for the optimizer to use it
// later
LOG.info("No need for sample filter");
ExprNodeDesc samplePredicate = genSamplePredicate(ts, tabBucketCols,
colsEqual, alias, rwsch, qb.getMetaData(), null);
tableOp = OperatorFactory.getAndMakeChild(new FilterDesc(
samplePredicate, true, new sampleDesc(ts.getNumerator(), ts
.getDenominator(), tabBucketCols, true)),
new RowSchema(rwsch.getColumnInfos()), top);
} else {
// need to add filter
// create tableOp to be filterDesc and set as child to 'top'
LOG.info("Need sample filter");
ExprNodeDesc samplePredicate = genSamplePredicate(ts, tabBucketCols,
colsEqual, alias, rwsch, qb.getMetaData(), null);
tableOp = OperatorFactory.getAndMakeChild(new FilterDesc(
samplePredicate, true),
new RowSchema(rwsch.getColumnInfos()), top);
}
} else {
boolean testMode = conf.getBoolVar(HiveConf.ConfVars.HIVETESTMODE);
if (testMode) {
String tabName = tab.getTableName();
// has the user explicitly asked not to sample this table
String unSampleTblList = conf
.getVar(HiveConf.ConfVars.HIVETESTMODENOSAMPLE);
String[] unSampleTbls = unSampleTblList.split(",");
boolean unsample = false;
for (String unSampleTbl : unSampleTbls) {
if (tabName.equalsIgnoreCase(unSampleTbl)) {
unsample = true;
}
}
if (!unsample) {
int numBuckets = tab.getNumBuckets();
// If the input table is bucketed, choose the first bucket
if (numBuckets > 0) {
TableSample tsSample = new TableSample(1, numBuckets);
tsSample.setInputPruning(true);
qb.getParseInfo().setTabSample(alias, tsSample);
ExprNodeDesc samplePred = genSamplePredicate(tsSample, tab
.getBucketCols(), true, alias, rwsch, qb.getMetaData(), null);
tableOp = OperatorFactory
.getAndMakeChild(new FilterDesc(samplePred, true,
new sampleDesc(tsSample.getNumerator(), tsSample
.getDenominator(), tab.getBucketCols(), true)),
new RowSchema(rwsch.getColumnInfos()), top);
LOG.info("No need for sample filter");
} else {
// The table is not bucketed, add a dummy filter :: rand()
int freq = conf.getIntVar(HiveConf.ConfVars.HIVETESTMODESAMPLEFREQ);
TableSample tsSample = new TableSample(1, freq);
tsSample.setInputPruning(false);
qb.getParseInfo().setTabSample(alias, tsSample);
LOG.info("Need sample filter");
ExprNodeDesc randFunc = TypeCheckProcFactory.DefaultExprProcessor
.getFuncExprNodeDesc("rand", new ExprNodeConstantDesc(Integer
.valueOf(460476415)));
ExprNodeDesc samplePred = genSamplePredicate(tsSample, null, false,
alias, rwsch, qb.getMetaData(), randFunc);
tableOp = OperatorFactory.getAndMakeChild(new FilterDesc(
samplePred, true),
new RowSchema(rwsch.getColumnInfos()), top);
}
}
}
}
Operator output = putOpInsertMap(tableOp, rwsch);
if (LOG.isDebugEnabled()) {
LOG.debug("Created Table Plan for " + alias + " " + tableOp.toString());
}
return output;
}
private boolean isSkewedCol(String alias, QB qb, String colName) {
boolean isSkewedCol = false;
List<String> skewedCols = qb.getSkewedColumnNames(alias);
for (String skewedCol : skewedCols) {
if (skewedCol.equalsIgnoreCase(colName)) {
isSkewedCol = true;
}
}
return isSkewedCol;
}
private void setupStats(TableScanDesc tsDesc, QBParseInfo qbp, Table tab, String alias,
RowResolver rwsch)
throws SemanticException {
if (!qbp.isAnalyzeCommand()) {
tsDesc.setGatherStats(false);
} else {
tsDesc.setGatherStats(true);
tsDesc.setStatsReliable(conf.getBoolVar(HiveConf.ConfVars.HIVE_STATS_RELIABLE));
tsDesc.setMaxStatsKeyPrefixLength(
conf.getIntVar(HiveConf.ConfVars.HIVE_STATS_KEY_PREFIX_MAX_LENGTH));
// append additional virtual columns for storing statistics
Iterator<VirtualColumn> vcs = VirtualColumn.getStatsRegistry(conf).iterator();
List<VirtualColumn> vcList = new ArrayList<VirtualColumn>();
while (vcs.hasNext()) {
VirtualColumn vc = vcs.next();
rwsch.put(alias, vc.getName(), new ColumnInfo(vc.getName(),
vc.getTypeInfo(), alias, true, vc.getIsHidden()));
vcList.add(vc);
}
tsDesc.addVirtualCols(vcList);
String tblName = tab.getTableName();
tableSpec tblSpec = qbp.getTableSpec(alias);
Map<String, String> partSpec = tblSpec.getPartSpec();
if (partSpec != null) {
List<String> cols = new ArrayList<String>();
cols.addAll(partSpec.keySet());
tsDesc.setPartColumns(cols);
}
// Theoretically the key prefix could be any unique string shared
// between TableScanOperator (when publishing) and StatsTask (when aggregating).
// Here we use
// table_name + partitionSec
// as the prefix for easy of read during explain and debugging.
// Currently, partition spec can only be static partition.
String k = tblName + Path.SEPARATOR;
tsDesc.setStatsAggPrefix(k);
// set up WritenEntity for replication
outputs.add(new WriteEntity(tab, true));
// add WriteEntity for each matching partition
if (tab.isPartitioned()) {
if (partSpec == null) {
throw new SemanticException(ErrorMsg.NEED_PARTITION_SPECIFICATION.getMsg());
}
List<Partition> partitions = qbp.getTableSpec().partitions;
if (partitions != null) {
for (Partition partn : partitions) {
// inputs.add(new ReadEntity(partn)); // is this needed at all?
outputs.add(new WriteEntity(partn, true));
}
}
}
}
}
private Operator genPlan(QBExpr qbexpr) throws SemanticException {
if (qbexpr.getOpcode() == QBExpr.Opcode.NULLOP) {
return genPlan(qbexpr.getQB());
}
if (qbexpr.getOpcode() == QBExpr.Opcode.UNION) {
Operator qbexpr1Ops = genPlan(qbexpr.getQBExpr1());
Operator qbexpr2Ops = genPlan(qbexpr.getQBExpr2());
return genUnionPlan(qbexpr.getAlias(), qbexpr.getQBExpr1().getAlias(),
qbexpr1Ops, qbexpr.getQBExpr2().getAlias(), qbexpr2Ops);
}
return null;
}
@SuppressWarnings("nls")
public Operator genPlan(QB qb) throws SemanticException {
// First generate all the opInfos for the elements in the from clause
Map<String, Operator> aliasToOpInfo = new HashMap<String, Operator>();
// Recurse over the subqueries to fill the subquery part of the plan
for (String alias : qb.getSubqAliases()) {
QBExpr qbexpr = qb.getSubqForAlias(alias);
aliasToOpInfo.put(alias, genPlan(qbexpr));
qbexpr.setAlias(alias);
}
// Recurse over all the source tables
for (String alias : qb.getTabAliases()) {
Operator op = genTablePlan(alias, qb);
aliasToOpInfo.put(alias, op);
}
Operator srcOpInfo = null;
Operator lastPTFOp = null;
if(queryProperties.hasPTF()){
//After processing subqueries and source tables, process
// partitioned table functions
HashMap<ASTNode, PTFInvocationSpec> ptfNodeToSpec = qb.getPTFNodeToSpec();
if ( ptfNodeToSpec != null ) {
for(Entry<ASTNode, PTFInvocationSpec> entry : ptfNodeToSpec.entrySet()) {
ASTNode ast = entry.getKey();
PTFInvocationSpec spec = entry.getValue();
String inputAlias = spec.getQueryInputName();
Operator inOp = aliasToOpInfo.get(inputAlias);
if ( inOp == null ) {
throw new SemanticException(generateErrorMessage(ast,
"Cannot resolve input Operator for PTF invocation"));
}
lastPTFOp = genPTFPlan(spec, inOp);
String ptfAlias = ((PartitionedTableFunctionSpec)spec.getFunction()).getAlias();
if ( ptfAlias != null ) {
aliasToOpInfo.put(ptfAlias, lastPTFOp);
}
}
}
}
// For all the source tables that have a lateral view, attach the
// appropriate operators to the TS
genLateralViewPlans(aliasToOpInfo, qb);
// process join
if (qb.getParseInfo().getJoinExpr() != null) {
ASTNode joinExpr = qb.getParseInfo().getJoinExpr();
if (joinExpr.getToken().getType() == HiveParser.TOK_UNIQUEJOIN) {
QBJoinTree joinTree = genUniqueJoinTree(qb, joinExpr, aliasToOpInfo);
qb.setQbJoinTree(joinTree);
} else {
QBJoinTree joinTree = genJoinTree(qb, joinExpr, aliasToOpInfo);
qb.setQbJoinTree(joinTree);
mergeJoinTree(qb);
}
// if any filters are present in the join tree, push them on top of the
// table
pushJoinFilters(qb, qb.getQbJoinTree(), aliasToOpInfo);
srcOpInfo = genJoinPlan(qb, aliasToOpInfo);
} else {
// Now if there are more than 1 sources then we have a join case
// later we can extend this to the union all case as well
srcOpInfo = aliasToOpInfo.values().iterator().next();
// with ptfs, there maybe more (note for PTFChains:
// 1 ptf invocation may entail multiple PTF operators)
srcOpInfo = lastPTFOp != null ? lastPTFOp : srcOpInfo;
}
Operator bodyOpInfo = genBodyPlan(qb, srcOpInfo);
if (LOG.isDebugEnabled()) {
LOG.debug("Created Plan for Query Block " + qb.getId());
}
this.qb = qb;
return bodyOpInfo;
}
/**
* Generates the operator DAG needed to implement lateral views and attaches
* it to the TS operator.
*
* @param aliasToOpInfo
* A mapping from a table alias to the TS operator. This function
* replaces the operator mapping as necessary
* @param qb
* @throws SemanticException
*/
void genLateralViewPlans(Map<String, Operator> aliasToOpInfo, QB qb)
throws SemanticException {
Map<String, ArrayList<ASTNode>> aliasToLateralViews = qb.getParseInfo()
.getAliasToLateralViews();
for (Entry<String, Operator> e : aliasToOpInfo.entrySet()) {
String alias = e.getKey();
// See if the alias has a lateral view. If so, chain the lateral view
// operator on
ArrayList<ASTNode> lateralViews = aliasToLateralViews.get(alias);
if (lateralViews != null) {
Operator op = e.getValue();
for (ASTNode lateralViewTree : aliasToLateralViews.get(alias)) {
// There are 2 paths from the TS operator (or a previous LVJ operator)
// to the same LateralViewJoinOperator.
// TS -> SelectOperator(*) -> LateralViewJoinOperator
// TS -> SelectOperator (gets cols for UDTF) -> UDTFOperator0
// -> LateralViewJoinOperator
//
Operator lateralViewJoin = genLateralViewPlan(qb, op, lateralViewTree);
op = lateralViewJoin;
}
e.setValue(op);
}
}
}
private Operator genLateralViewPlanForDest(String dest, QB qb, Operator op)
throws SemanticException {
ASTNode lateralViewTree = qb.getParseInfo().getDestToLateralView().get(dest);
if (lateralViewTree != null) {
return genLateralViewPlan(qb, op, lateralViewTree);
}
return op;
}
private Operator genLateralViewPlan(QB qb, Operator op, ASTNode lateralViewTree)
throws SemanticException {
RowResolver lvForwardRR = new RowResolver();
RowResolver source = opParseCtx.get(op).getRowResolver();
for (ColumnInfo col : source.getColumnInfos()) {
String[] tabCol = source.reverseLookup(col.getInternalName());
lvForwardRR.put(tabCol[0], tabCol[1], col);
}
Operator lvForward = putOpInsertMap(OperatorFactory.getAndMakeChild(
new LateralViewForwardDesc(), new RowSchema(lvForwardRR.getColumnInfos()),
op), lvForwardRR);
// The order in which the two paths are added is important. The
// lateral view join operator depends on having the select operator
// give it the row first.
// Get the all path by making a select(*).
RowResolver allPathRR = opParseCtx.get(lvForward).getRowResolver();
// Operator allPath = op;
Operator allPath = putOpInsertMap(OperatorFactory.getAndMakeChild(
new SelectDesc(true), new RowSchema(allPathRR.getColumnInfos()),
lvForward), allPathRR);
// Get the UDTF Path
QB blankQb = new QB(null, null, false);
Operator udtfPath = genSelectPlan((ASTNode) lateralViewTree
.getChild(0), blankQb, lvForward,
lateralViewTree.getType() == HiveParser.TOK_LATERAL_VIEW_OUTER);
// add udtf aliases to QB
for (String udtfAlias : blankQb.getAliases()) {
qb.addAlias(udtfAlias);
}
RowResolver udtfPathRR = opParseCtx.get(udtfPath).getRowResolver();
// Merge the two into the lateral view join
// The cols of the merged result will be the combination of both the
// cols of the UDTF path and the cols of the all path. The internal
// names have to be changed to avoid conflicts
RowResolver lateralViewRR = new RowResolver();
ArrayList<String> outputInternalColNames = new ArrayList<String>();
LVmergeRowResolvers(allPathRR, lateralViewRR, outputInternalColNames);
LVmergeRowResolvers(udtfPathRR, lateralViewRR, outputInternalColNames);
// For PPD, we need a column to expression map so that during the walk,
// the processor knows how to transform the internal col names.
// Following steps are dependant on the fact that we called
// LVmerge.. in the above order
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
int i = 0;
for (ColumnInfo c : allPathRR.getColumnInfos()) {
String internalName = getColumnInternalName(i);
i++;
colExprMap.put(internalName,
new ExprNodeColumnDesc(c.getType(), c.getInternalName(),
c.getTabAlias(), c.getIsVirtualCol()));
}
Operator lateralViewJoin = putOpInsertMap(OperatorFactory
.getAndMakeChild(new LateralViewJoinDesc(outputInternalColNames),
new RowSchema(lateralViewRR.getColumnInfos()), allPath,
udtfPath), lateralViewRR);
lateralViewJoin.setColumnExprMap(colExprMap);
return lateralViewJoin;
}
/**
* A helper function that gets all the columns and respective aliases in the
* source and puts them into dest. It renames the internal names of the
* columns based on getColumnInternalName(position).
*
* Note that this helper method relies on RowResolver.getColumnInfos()
* returning the columns in the same order as they will be passed in the
* operator DAG.
*
* @param source
* @param dest
* @param outputColNames
* - a list to which the new internal column names will be added, in
* the same order as in the dest row resolver
*/
private void LVmergeRowResolvers(RowResolver source, RowResolver dest,
ArrayList<String> outputInternalColNames) {
for (ColumnInfo c : source.getColumnInfos()) {
String internalName = getColumnInternalName(outputInternalColNames.size());
outputInternalColNames.add(internalName);
ColumnInfo newCol = new ColumnInfo(internalName, c.getType(), c
.getTabAlias(), c.getIsVirtualCol(), c.isHiddenVirtualCol());
String[] tableCol = source.reverseLookup(c.getInternalName());
String tableAlias = tableCol[0];
String colAlias = tableCol[1];
dest.put(tableAlias, colAlias, newCol);
}
}
@SuppressWarnings("nls")
public Phase1Ctx initPhase1Ctx() {
Phase1Ctx ctx_1 = new Phase1Ctx();
ctx_1.nextNum = 0;
ctx_1.dest = "reduce";
return ctx_1;
}
@Override
public void init() {
// clear most members
reset();
// init
QB qb = new QB(null, null, false);
this.qb = qb;
}
@Override
@SuppressWarnings("nls")
public void analyzeInternal(ASTNode ast) throws SemanticException {
ASTNode child = ast;
this.ast = ast;
viewsExpanded = new ArrayList<String>();
LOG.info("Starting Semantic Analysis");
// analyze and process the position alias
processPositionAlias(ast);
// analyze create table command
if (ast.getToken().getType() == HiveParser.TOK_CREATETABLE) {
// if it is not CTAS, we don't need to go further and just return
if ((child = analyzeCreateTable(ast, qb)) == null) {
return;
}
} else {
SessionState.get().setCommandType(HiveOperation.QUERY);
}
// analyze create view command
if (ast.getToken().getType() == HiveParser.TOK_CREATEVIEW ||
ast.getToken().getType() == HiveParser.TOK_ALTERVIEW_AS) {
child = analyzeCreateView(ast, qb);
SessionState.get().setCommandType(HiveOperation.CREATEVIEW);
if (child == null) {
return;
}
viewSelect = child;
// prevent view from referencing itself
viewsExpanded.add(SessionState.get().getCurrentDatabase() + "." + createVwDesc.getViewName());
}
// continue analyzing from the child ASTNode.
Phase1Ctx ctx_1 = initPhase1Ctx();
if (!doPhase1(child, qb, ctx_1)) {
// if phase1Result false return
return;
}
LOG.info("Completed phase 1 of Semantic Analysis");
getMetaData(qb);
LOG.info("Completed getting MetaData in Semantic Analysis");
// Save the result schema derived from the sink operator produced
// by genPlan. This has the correct column names, which clients
// such as JDBC would prefer instead of the c0, c1 we'll end
// up with later.
Operator sinkOp = genPlan(qb);
resultSchema =
convertRowSchemaToViewSchema(opParseCtx.get(sinkOp).getRowResolver());
if (createVwDesc != null) {
saveViewDefinition();
// validate the create view statement
// at this point, the createVwDesc gets all the information for semantic check
validateCreateView(createVwDesc);
// Since we're only creating a view (not executing it), we
// don't need to optimize or translate the plan (and in fact, those
// procedures can interfere with the view creation). So
// skip the rest of this method.
ctx.setResDir(null);
ctx.setResFile(null);
return;
}
ParseContext pCtx = new ParseContext(conf, qb, child, opToPartPruner,
opToPartList, topOps, topSelOps, opParseCtx, joinContext, smbMapJoinContext,
topToTable, topToTableProps, fsopToTable,
loadTableWork, loadFileWork, ctx, idToTableNameMap, destTableId, uCtx,
listMapJoinOpsNoReducer, groupOpToInputTables, prunedPartitions,
opToSamplePruner, globalLimitCtx, nameToSplitSample, inputs, rootTasks,
opToPartToSkewedPruner, viewAliasToInput,
reduceSinkOperatorsAddedByEnforceBucketingSorting, queryProperties);
// Generate table access stats if required
if (HiveConf.getBoolVar(this.conf, HiveConf.ConfVars.HIVE_STATS_COLLECT_TABLEKEYS) == true) {
TableAccessAnalyzer tableAccessAnalyzer = new TableAccessAnalyzer(pCtx);
setTableAccessInfo(tableAccessAnalyzer.analyzeTableAccess());
}
if (LOG.isDebugEnabled()) {
LOG.debug("Before logical optimization\n" + Operator.toString(pCtx.getTopOps().values()));
}
Optimizer optm = new Optimizer();
optm.setPctx(pCtx);
optm.initialize(conf);
pCtx = optm.optimize();
if (LOG.isDebugEnabled()) {
LOG.debug("After logical optimization\n" + Operator.toString(pCtx.getTopOps().values()));
}
// Generate column access stats if required - wait until column pruning takes place
// during optimization
if (HiveConf.getBoolVar(this.conf, HiveConf.ConfVars.HIVE_STATS_COLLECT_SCANCOLS) == true) {
ColumnAccessAnalyzer columnAccessAnalyzer = new ColumnAccessAnalyzer(pCtx);
setColumnAccessInfo(columnAccessAnalyzer.analyzeColumnAccess());
}
if (!ctx.getExplainLogical()) {
// At this point we have the complete operator tree
// from which we want to create the map-reduce plan
MapReduceCompiler compiler = new MapReduceCompiler();
compiler.init(conf, console, db);
compiler.compile(pCtx, rootTasks, inputs, outputs);
fetchTask = pCtx.getFetchTask();
}
LOG.info("Completed plan generation");
return;
}
@Override
public List<FieldSchema> getResultSchema() {
return resultSchema;
}
private void saveViewDefinition() throws SemanticException {
// Make a copy of the statement's result schema, since we may
// modify it below as part of imposing view column names.
List<FieldSchema> derivedSchema =
new ArrayList<FieldSchema>(resultSchema);
ParseUtils.validateColumnNameUniqueness(derivedSchema);
List<FieldSchema> imposedSchema = createVwDesc.getSchema();
if (imposedSchema != null) {
int explicitColCount = imposedSchema.size();
int derivedColCount = derivedSchema.size();
if (explicitColCount != derivedColCount) {
throw new SemanticException(generateErrorMessage(
viewSelect,
ErrorMsg.VIEW_COL_MISMATCH.getMsg()));
}
}
// Preserve the original view definition as specified by the user.
String originalText = ctx.getTokenRewriteStream().toString(
viewSelect.getTokenStartIndex(), viewSelect.getTokenStopIndex());
createVwDesc.setViewOriginalText(originalText);
// Now expand the view definition with extras such as explicit column
// references; this expanded form is what we'll re-parse when the view is
// referenced later.
unparseTranslator.applyTranslations(ctx.getTokenRewriteStream());
String expandedText = ctx.getTokenRewriteStream().toString(
viewSelect.getTokenStartIndex(), viewSelect.getTokenStopIndex());
if (imposedSchema != null) {
// Merge the names from the imposed schema into the types
// from the derived schema.
StringBuilder sb = new StringBuilder();
sb.append("SELECT ");
int n = derivedSchema.size();
for (int i = 0; i < n; ++i) {
if (i > 0) {
sb.append(", ");
}
FieldSchema fieldSchema = derivedSchema.get(i);
// Modify a copy, not the original
fieldSchema = new FieldSchema(fieldSchema);
derivedSchema.set(i, fieldSchema);
sb.append(HiveUtils.unparseIdentifier(fieldSchema.getName()));
sb.append(" AS ");
String imposedName = imposedSchema.get(i).getName();
sb.append(HiveUtils.unparseIdentifier(imposedName));
fieldSchema.setName(imposedName);
// We don't currently allow imposition of a type
fieldSchema.setComment(imposedSchema.get(i).getComment());
}
sb.append(" FROM (");
sb.append(expandedText);
sb.append(") ");
sb.append(HiveUtils.unparseIdentifier(createVwDesc.getViewName()));
expandedText = sb.toString();
}
if (createVwDesc.getPartColNames() != null) {
// Make sure all partitioning columns referenced actually
// exist and are in the correct order at the end
// of the list of columns produced by the view. Also move the field
// schema descriptors from derivedSchema to the partitioning key
// descriptor.
List<String> partColNames = createVwDesc.getPartColNames();
if (partColNames.size() > derivedSchema.size()) {
throw new SemanticException(
ErrorMsg.VIEW_PARTITION_MISMATCH.getMsg());
}
// Get the partition columns from the end of derivedSchema.
List<FieldSchema> partitionColumns = derivedSchema.subList(
derivedSchema.size() - partColNames.size(),
derivedSchema.size());
// Verify that the names match the PARTITIONED ON clause.
Iterator<String> colNameIter = partColNames.iterator();
Iterator<FieldSchema> schemaIter = partitionColumns.iterator();
while (colNameIter.hasNext()) {
String colName = colNameIter.next();
FieldSchema fieldSchema = schemaIter.next();
if (!fieldSchema.getName().equals(colName)) {
throw new SemanticException(
ErrorMsg.VIEW_PARTITION_MISMATCH.getMsg());
}
}
// Boundary case: require at least one non-partitioned column
// for consistency with tables.
if (partColNames.size() == derivedSchema.size()) {
throw new SemanticException(
ErrorMsg.VIEW_PARTITION_TOTAL.getMsg());
}
// Now make a copy.
createVwDesc.setPartCols(
new ArrayList<FieldSchema>(partitionColumns));
// Finally, remove the partition columns from the end of derivedSchema.
// (Clearing the subList writes through to the underlying
// derivedSchema ArrayList.)
partitionColumns.clear();
}
createVwDesc.setSchema(derivedSchema);
createVwDesc.setViewExpandedText(expandedText);
}
private List<FieldSchema> convertRowSchemaToViewSchema(RowResolver rr) {
List<FieldSchema> fieldSchemas = new ArrayList<FieldSchema>();
for (ColumnInfo colInfo : rr.getColumnInfos()) {
if (colInfo.isHiddenVirtualCol()) {
continue;
}
String colName = rr.reverseLookup(colInfo.getInternalName())[1];
fieldSchemas.add(new FieldSchema(colName,
colInfo.getType().getTypeName(), null));
}
return fieldSchemas;
}
/**
* Generates an expression node descriptor for the expression with TypeCheckCtx.
*/
public ExprNodeDesc genExprNodeDesc(ASTNode expr, RowResolver input)
throws SemanticException {
// Since the user didn't supply a customized type-checking context,
// use default settings.
TypeCheckCtx tcCtx = new TypeCheckCtx(input);
return genExprNodeDesc(expr, input, tcCtx);
}
/**
* Generates an expression node descriptors for the expression and children of it
* with default TypeCheckCtx.
*/
public Map<ASTNode, ExprNodeDesc> genAllExprNodeDesc(ASTNode expr, RowResolver input)
throws SemanticException {
TypeCheckCtx tcCtx = new TypeCheckCtx(input);
return genAllExprNodeDesc(expr, input, tcCtx);
}
/**
* Returns expression node descriptor for the expression.
* If it's evaluated already in previous operator, it can be retrieved from cache.
*/
public ExprNodeDesc genExprNodeDesc(ASTNode expr, RowResolver input,
TypeCheckCtx tcCtx) throws SemanticException {
// We recursively create the exprNodeDesc. Base cases: when we encounter
// a column ref, we convert that into an exprNodeColumnDesc; when we
// encounter
// a constant, we convert that into an exprNodeConstantDesc. For others we
// just
// build the exprNodeFuncDesc with recursively built children.
// If the current subExpression is pre-calculated, as in Group-By etc.
ExprNodeDesc cached = getExprNodeDescCached(expr, input);
if (cached == null) {
Map<ASTNode, ExprNodeDesc> allExprs = genAllExprNodeDesc(expr, input, tcCtx);
return allExprs.get(expr);
}
return cached;
}
/**
* Find ExprNodeDesc for the expression cached in the RowResolver. Returns null if not exists.
*/
private ExprNodeDesc getExprNodeDescCached(ASTNode expr, RowResolver input)
throws SemanticException {
ColumnInfo colInfo = input.getExpression(expr);
if (colInfo != null) {
ASTNode source = input.getExpressionSource(expr);
if (source != null) {
unparseTranslator.addCopyTranslation(expr, source);
}
return new ExprNodeColumnDesc(colInfo.getType(), colInfo
.getInternalName(), colInfo.getTabAlias(), colInfo
.getIsVirtualCol(), colInfo.isSkewedCol());
}
return null;
}
/**
* Generates all of the expression node descriptors for the expression and children of it
* passed in the arguments. This function uses the row resolver and the metadata information
* that are passed as arguments to resolve the column names to internal names.
*
* @param expr
* The expression
* @param input
* The row resolver
* @param tcCtx
* Customized type-checking context
* @return expression to exprNodeDesc mapping
* @throws SemanticException Failed to evaluate expression
*/
@SuppressWarnings("nls")
public Map<ASTNode, ExprNodeDesc> genAllExprNodeDesc(ASTNode expr, RowResolver input,
TypeCheckCtx tcCtx) throws SemanticException {
// Create the walker and the rules dispatcher.
tcCtx.setUnparseTranslator(unparseTranslator);
Map<ASTNode, ExprNodeDesc> nodeOutputs =
TypeCheckProcFactory.genExprNode(expr, tcCtx);
ExprNodeDesc desc = (ExprNodeDesc) nodeOutputs.get(expr);
if (desc == null) {
String errMsg = tcCtx.getError();
if (errMsg == null) {
errMsg = "Error in parsing ";
}
throw new SemanticException(errMsg);
}
if (desc instanceof ExprNodeColumnListDesc) {
throw new SemanticException("TOK_ALLCOLREF is not supported in current context");
}
if (!unparseTranslator.isEnabled()) {
// Not creating a view, so no need to track view expansions.
return nodeOutputs;
}
for (Map.Entry<ASTNode, ExprNodeDesc> entry : nodeOutputs.entrySet()) {
if (!(entry.getValue() instanceof ExprNodeColumnDesc)) {
continue;
}
ASTNode node = entry.getKey();
ExprNodeColumnDesc columnDesc = (ExprNodeColumnDesc) entry.getValue();
if ((columnDesc.getTabAlias() == null)
|| (columnDesc.getTabAlias().length() == 0)) {
// These aren't real column refs; instead, they are special
// internal expressions used in the representation of aggregation.
continue;
}
String[] tmp = input.reverseLookup(columnDesc.getColumn());
StringBuilder replacementText = new StringBuilder();
replacementText.append(HiveUtils.unparseIdentifier(tmp[0]));
replacementText.append(".");
replacementText.append(HiveUtils.unparseIdentifier(tmp[1]));
unparseTranslator.addTranslation(node, replacementText.toString());
}
return nodeOutputs;
}
@Override
public void validate() throws SemanticException {
LOG.debug("validation start");
// Validate inputs and outputs have right protectmode to execute the query
for (ReadEntity readEntity : getInputs()) {
ReadEntity.Type type = readEntity.getType();
if (type != ReadEntity.Type.TABLE &&
type != ReadEntity.Type.PARTITION) {
// In current implementation it will never happen, but we leave it
// here to make the logic complete.
continue;
}
Table tbl = readEntity.getTable();
Partition p = readEntity.getPartition();
if (tbl.isOffline()) {
throw new SemanticException(
ErrorMsg.OFFLINE_TABLE_OR_PARTITION.getMsg(
"Table " + tbl.getTableName()));
}
if (type == ReadEntity.Type.PARTITION && p != null && p.isOffline()) {
throw new SemanticException(
ErrorMsg.OFFLINE_TABLE_OR_PARTITION.getMsg(
"Table " + tbl.getTableName() +
" Partition " + p.getName()));
}
}
for (WriteEntity writeEntity : getOutputs()) {
WriteEntity.Type type = writeEntity.getType();
if (type == WriteEntity.Type.PARTITION || type == WriteEntity.Type.DUMMYPARTITION) {
String conflictingArchive;
try {
Partition usedp = writeEntity.getPartition();
Table tbl = usedp.getTable();
LOG.debug("validated " + usedp.getName());
LOG.debug(usedp.getTable());
conflictingArchive = ArchiveUtils
.conflictingArchiveNameOrNull(db, tbl, usedp.getSpec());
} catch (HiveException e) {
throw new SemanticException(e);
}
if (conflictingArchive != null) {
String message = String.format("Insert conflict with existing archive: %s",
conflictingArchive);
throw new SemanticException(message);
}
}
if (type != WriteEntity.Type.TABLE &&
type != WriteEntity.Type.PARTITION) {
LOG.debug("not validating writeEntity, because entity is neither table nor partition");
continue;
}
Table tbl;
Partition p;
if (type == WriteEntity.Type.PARTITION) {
Partition inputPartition = writeEntity.getPartition();
// If it is a partition, Partition's metastore is not fetched. We
// need to fetch it.
try {
p = Hive.get().getPartition(
inputPartition.getTable(), inputPartition.getSpec(), false);
if (p != null) {
tbl = p.getTable();
} else {
// if p is null, we assume that we insert to a new partition
tbl = inputPartition.getTable();
}
} catch (HiveException e) {
throw new SemanticException(e);
}
if (type == WriteEntity.Type.PARTITION && p != null && p.isOffline()) {
throw new SemanticException(
ErrorMsg.OFFLINE_TABLE_OR_PARTITION.getMsg(
" Table " + tbl.getTableName() +
" Partition " + p.getName()));
}
}
else {
LOG.debug("Not a partition.");
tbl = writeEntity.getTable();
}
if (tbl.isOffline()) {
throw new SemanticException(
ErrorMsg.OFFLINE_TABLE_OR_PARTITION.getMsg(
"Table " + tbl.getTableName()));
}
}
boolean reworkMapredWork = HiveConf.getBoolVar(this.conf,
HiveConf.ConfVars.HIVE_REWORK_MAPREDWORK);
// validate all tasks
for (Task<? extends Serializable> rootTask : rootTasks) {
validate(rootTask, reworkMapredWork);
}
}
private void validate(Task<? extends Serializable> task, boolean reworkMapredWork)
throws SemanticException {
Utilities.reworkMapRedWork(task, reworkMapredWork, conf);
if (task.getChildTasks() == null) {
return;
}
for (Task<? extends Serializable> childTask : task.getChildTasks()) {
validate(childTask, reworkMapredWork);
}
}
/**
* Get the row resolver given an operator.
*/
public RowResolver getRowResolver(Operator opt) {
return opParseCtx.get(opt).getRowResolver();
}
/**
* Add default properties for table property. If a default parameter exists
* in the tblProp, the value in tblProp will be kept.
*
* @param table
* property map
* @return Modified table property map
*/
private Map<String, String> addDefaultProperties(Map<String, String> tblProp) {
Map<String, String> retValue;
if (tblProp == null) {
retValue = new HashMap<String, String>();
} else {
retValue = tblProp;
}
String paraString = HiveConf.getVar(conf, ConfVars.NEWTABLEDEFAULTPARA);
if (paraString != null && !paraString.isEmpty()) {
for (String keyValuePair : paraString.split(",")) {
String[] keyValue = keyValuePair.split("=", 2);
if (keyValue.length != 2) {
continue;
}
if (!retValue.containsKey(keyValue[0])) {
retValue.put(keyValue[0], keyValue[1]);
}
}
}
return retValue;
}
/**
* Analyze the create table command. If it is a regular create-table or
* create-table-like statements, we create a DDLWork and return true. If it is
* a create-table-as-select, we get the necessary info such as the SerDe and
* Storage Format and put it in QB, and return false, indicating the rest of
* the semantic analyzer need to deal with the select statement with respect
* to the SerDe and Storage Format.
*/
private ASTNode analyzeCreateTable(ASTNode ast, QB qb)
throws SemanticException {
String tableName = getUnescapedName((ASTNode) ast.getChild(0));
String likeTableName = null;
List<FieldSchema> cols = new ArrayList<FieldSchema>();
List<FieldSchema> partCols = new ArrayList<FieldSchema>();
List<String> bucketCols = new ArrayList<String>();
List<Order> sortCols = new ArrayList<Order>();
int numBuckets = -1;
String comment = null;
String location = null;
Map<String, String> tblProps = null;
boolean ifNotExists = false;
boolean isExt = false;
ASTNode selectStmt = null;
final int CREATE_TABLE = 0; // regular CREATE TABLE
final int CTLT = 1; // CREATE TABLE LIKE ... (CTLT)
final int CTAS = 2; // CREATE TABLE AS SELECT ... (CTAS)
int command_type = CREATE_TABLE;
List<String> skewedColNames = new ArrayList<String>();
List<List<String>> skewedValues = new ArrayList<List<String>>();
Map<List<String>, String> listBucketColValuesMapping = new HashMap<List<String>, String>();
boolean storedAsDirs = false;
RowFormatParams rowFormatParams = new RowFormatParams();
StorageFormat storageFormat = new StorageFormat();
AnalyzeCreateCommonVars shared = new AnalyzeCreateCommonVars();
LOG.info("Creating table " + tableName + " position="
+ ast.getCharPositionInLine());
int numCh = ast.getChildCount();
/*
* Check the 1st-level children and do simple semantic checks: 1) CTLT and
* CTAS should not coexists. 2) CTLT or CTAS should not coexists with column
* list (target table schema). 3) CTAS does not support partitioning (for
* now).
*/
for (int num = 1; num < numCh; num++) {
ASTNode child = (ASTNode) ast.getChild(num);
if (storageFormat.fillStorageFormat(child, shared)) {
continue;
}
switch (child.getToken().getType()) {
case HiveParser.TOK_IFNOTEXISTS:
ifNotExists = true;
break;
case HiveParser.KW_EXTERNAL:
isExt = true;
break;
case HiveParser.TOK_LIKETABLE:
if (child.getChildCount() > 0) {
likeTableName = getUnescapedName((ASTNode) child.getChild(0));
if (likeTableName != null) {
if (command_type == CTAS) {
throw new SemanticException(ErrorMsg.CTAS_CTLT_COEXISTENCE
.getMsg());
}
if (cols.size() != 0) {
throw new SemanticException(ErrorMsg.CTLT_COLLST_COEXISTENCE
.getMsg());
}
}
command_type = CTLT;
}
break;
case HiveParser.TOK_QUERY: // CTAS
if (command_type == CTLT) {
throw new SemanticException(ErrorMsg.CTAS_CTLT_COEXISTENCE.getMsg());
}
if (cols.size() != 0) {
throw new SemanticException(ErrorMsg.CTAS_COLLST_COEXISTENCE.getMsg());
}
if (partCols.size() != 0 || bucketCols.size() != 0) {
boolean dynPart = HiveConf.getBoolVar(conf, HiveConf.ConfVars.DYNAMICPARTITIONING);
if (dynPart == false) {
throw new SemanticException(ErrorMsg.CTAS_PARCOL_COEXISTENCE.getMsg());
} else {
// TODO: support dynamic partition for CTAS
throw new SemanticException(ErrorMsg.CTAS_PARCOL_COEXISTENCE.getMsg());
}
}
if (isExt) {
throw new SemanticException(ErrorMsg.CTAS_EXTTBL_COEXISTENCE.getMsg());
}
command_type = CTAS;
selectStmt = child;
break;
case HiveParser.TOK_TABCOLLIST:
cols = getColumns(child);
break;
case HiveParser.TOK_TABLECOMMENT:
comment = unescapeSQLString(child.getChild(0).getText());
break;
case HiveParser.TOK_TABLEPARTCOLS:
partCols = getColumns((ASTNode) child.getChild(0), false);
break;
case HiveParser.TOK_TABLEBUCKETS:
bucketCols = getColumnNames((ASTNode) child.getChild(0));
if (child.getChildCount() == 2) {
numBuckets = (Integer.valueOf(child.getChild(1).getText()))
.intValue();
} else {
sortCols = getColumnNamesOrder((ASTNode) child.getChild(1));
numBuckets = (Integer.valueOf(child.getChild(2).getText()))
.intValue();
}
break;
case HiveParser.TOK_TABLEROWFORMAT:
rowFormatParams.analyzeRowFormat(shared, child);
break;
case HiveParser.TOK_TABLELOCATION:
location = unescapeSQLString(child.getChild(0).getText());
location = EximUtil.relativeToAbsolutePath(conf, location);
break;
case HiveParser.TOK_TABLEPROPERTIES:
tblProps = DDLSemanticAnalyzer.getProps((ASTNode) child.getChild(0));
break;
case HiveParser.TOK_TABLESERIALIZER:
child = (ASTNode) child.getChild(0);
shared.serde = unescapeSQLString(child.getChild(0).getText());
if (child.getChildCount() == 2) {
readProps((ASTNode) (child.getChild(1).getChild(0)),
shared.serdeProps);
}
break;
case HiveParser.TOK_FILEFORMAT_GENERIC:
handleGenericFileFormat(child);
break;
case HiveParser.TOK_TABLESKEWED:
/**
* Throw an error if the user tries to use the DDL with
* hive.internal.ddl.list.bucketing.enable set to false.
*/
HiveConf hiveConf = SessionState.get().getConf();
// skewed column names
skewedColNames = analyzeSkewedTablDDLColNames(skewedColNames, child);
// skewed value
analyzeDDLSkewedValues(skewedValues, child);
// stored as directories
storedAsDirs = analyzeStoredAdDirs(child);
break;
default:
assert false;
}
}
storageFormat.fillDefaultStorageFormat(shared);
if ((command_type == CTAS) && (storageFormat.storageHandler != null)) {
throw new SemanticException(ErrorMsg.CREATE_NON_NATIVE_AS.getMsg());
}
// check for existence of table
if (ifNotExists) {
try {
Table table = db.getTable(tableName, false); // use getTable(final String tableName, boolean
// throwException) which doesn't throw
// exception but null if table doesn't exist
if (table != null) { // table exists
return null;
}
} catch (HiveException e) {
e.printStackTrace();
}
}
// Handle different types of CREATE TABLE command
CreateTableDesc crtTblDesc = null;
switch (command_type) {
case CREATE_TABLE: // REGULAR CREATE TABLE DDL
tblProps = addDefaultProperties(tblProps);
crtTblDesc = new CreateTableDesc(tableName, isExt, cols, partCols,
bucketCols, sortCols, numBuckets, rowFormatParams.fieldDelim,
rowFormatParams.fieldEscape,
rowFormatParams.collItemDelim, rowFormatParams.mapKeyDelim, rowFormatParams.lineDelim,
comment,
storageFormat.inputFormat, storageFormat.outputFormat, location, shared.serde,
storageFormat.storageHandler, shared.serdeProps, tblProps, ifNotExists, skewedColNames,
skewedValues);
crtTblDesc.setStoredAsSubDirectories(storedAsDirs);
crtTblDesc.validate();
// outputs is empty, which means this create table happens in the current
// database.
SessionState.get().setCommandType(HiveOperation.CREATETABLE);
rootTasks.add(TaskFactory.get(new DDLWork(getInputs(), getOutputs(),
crtTblDesc), conf));
break;
case CTLT: // create table like <tbl_name>
tblProps = addDefaultProperties(tblProps);
CreateTableLikeDesc crtTblLikeDesc = new CreateTableLikeDesc(tableName, isExt,
storageFormat.inputFormat, storageFormat.outputFormat, location,
shared.serde, shared.serdeProps, tblProps, ifNotExists, likeTableName);
SessionState.get().setCommandType(HiveOperation.CREATETABLE);
rootTasks.add(TaskFactory.get(new DDLWork(getInputs(), getOutputs(),
crtTblLikeDesc), conf));
break;
case CTAS: // create table as select
// Verify that the table does not already exist
String databaseName;
try {
Table dumpTable = db.newTable(tableName);
databaseName = dumpTable.getDbName();
if (null == db.getDatabase(dumpTable.getDbName())) {
throw new SemanticException(ErrorMsg.DATABASE_NOT_EXISTS.getMsg(dumpTable.getDbName()));
}
if (null != db.getTable(dumpTable.getDbName(), dumpTable.getTableName(), false)) {
throw new SemanticException(ErrorMsg.TABLE_ALREADY_EXISTS.getMsg(tableName));
}
} catch (HiveException e) {
throw new SemanticException(e);
}
tblProps = addDefaultProperties(tblProps);
crtTblDesc = new CreateTableDesc(databaseName, tableName, isExt, cols, partCols,
bucketCols, sortCols, numBuckets, rowFormatParams.fieldDelim,
rowFormatParams.fieldEscape,
rowFormatParams.collItemDelim, rowFormatParams.mapKeyDelim, rowFormatParams.lineDelim,
comment, storageFormat.inputFormat,
storageFormat.outputFormat, location, shared.serde, storageFormat.storageHandler,
shared.serdeProps,
tblProps, ifNotExists, skewedColNames, skewedValues);
crtTblDesc.setStoredAsSubDirectories(storedAsDirs);
qb.setTableDesc(crtTblDesc);
SessionState.get().setCommandType(HiveOperation.CREATETABLE_AS_SELECT);
return selectStmt;
default:
throw new SemanticException("Unrecognized command.");
}
return null;
}
private ASTNode analyzeCreateView(ASTNode ast, QB qb)
throws SemanticException {
String tableName = getUnescapedName((ASTNode) ast.getChild(0));
List<FieldSchema> cols = null;
boolean ifNotExists = false;
boolean orReplace = false;
boolean isAlterViewAs = false;
String comment = null;
ASTNode selectStmt = null;
Map<String, String> tblProps = null;
List<String> partColNames = null;
LOG.info("Creating view " + tableName + " position="
+ ast.getCharPositionInLine());
int numCh = ast.getChildCount();
for (int num = 1; num < numCh; num++) {
ASTNode child = (ASTNode) ast.getChild(num);
switch (child.getToken().getType()) {
case HiveParser.TOK_IFNOTEXISTS:
ifNotExists = true;
break;
case HiveParser.TOK_ORREPLACE:
orReplace = true;
break;
case HiveParser.TOK_QUERY:
selectStmt = child;
break;
case HiveParser.TOK_TABCOLNAME:
cols = getColumns(child);
break;
case HiveParser.TOK_TABLECOMMENT:
comment = unescapeSQLString(child.getChild(0).getText());
break;
case HiveParser.TOK_TABLEPROPERTIES:
tblProps = DDLSemanticAnalyzer.getProps((ASTNode) child.getChild(0));
break;
case HiveParser.TOK_VIEWPARTCOLS:
partColNames = getColumnNames((ASTNode) child.getChild(0));
break;
default:
assert false;
}
}
if (ifNotExists && orReplace){
throw new SemanticException("Can't combine IF NOT EXISTS and OR REPLACE.");
}
if (ast.getToken().getType() == HiveParser.TOK_ALTERVIEW_AS) {
isAlterViewAs = true;
orReplace = true;
}
createVwDesc = new CreateViewDesc(
tableName, cols, comment, tblProps, partColNames,
ifNotExists, orReplace, isAlterViewAs);
unparseTranslator.enable();
rootTasks.add(TaskFactory.get(new DDLWork(getInputs(), getOutputs(),
createVwDesc), conf));
return selectStmt;
}
// validate the create view statement
// the statement could be CREATE VIEW, REPLACE VIEW, or ALTER VIEW AS SELECT
// check semantic conditions
private void validateCreateView(CreateViewDesc createVwDesc)
throws SemanticException {
try {
Table oldView = db.getTable(createVwDesc.getViewName(), false);
// ALTER VIEW AS SELECT requires the view must exist
if (createVwDesc.getIsAlterViewAs() && oldView == null) {
String viewNotExistErrorMsg =
"The following view does not exist: " + createVwDesc.getViewName();
throw new SemanticException(
ErrorMsg.ALTER_VIEW_AS_SELECT_NOT_EXIST.getMsg(viewNotExistErrorMsg));
}
//replace view
if (createVwDesc.getOrReplace() && oldView != null) {
// Existing table is not a view
if (!oldView.getTableType().equals(TableType.VIRTUAL_VIEW)) {
String tableNotViewErrorMsg =
"The following is an existing table, not a view: " +
createVwDesc.getViewName();
throw new SemanticException(
ErrorMsg.EXISTING_TABLE_IS_NOT_VIEW.getMsg(tableNotViewErrorMsg));
}
// if old view has partitions, it could not be replaced
String partitionViewErrorMsg =
"The following view has partition, it could not be replaced: " +
createVwDesc.getViewName();
try {
if ((createVwDesc.getPartCols() == null ||
createVwDesc.getPartCols().isEmpty() ||
!createVwDesc.getPartCols().equals(oldView.getPartCols())) &&
!oldView.getPartCols().isEmpty() &&
!db.getPartitions(oldView).isEmpty()) {
throw new SemanticException(
ErrorMsg.REPLACE_VIEW_WITH_PARTITION.getMsg(partitionViewErrorMsg));
}
} catch (HiveException e) {
throw new SemanticException(
ErrorMsg.REPLACE_VIEW_WITH_PARTITION.getMsg(partitionViewErrorMsg));
}
}
} catch (HiveException e) {
throw new SemanticException(e.getMessage());
}
}
// Process the position alias in GROUPBY and ORDERBY
private void processPositionAlias(ASTNode ast) throws SemanticException {
if (HiveConf.getBoolVar(conf,
HiveConf.ConfVars.HIVE_GROUPBY_ORDERBY_POSITION_ALIAS) == false) {
return;
}
if (ast.getChildCount() == 0) {
return;
}
boolean isAllCol;
ASTNode selectNode = null;
ASTNode groupbyNode = null;
ASTNode orderbyNode = null;
// get node type
int child_count = ast.getChildCount();
for (int child_pos = 0; child_pos < child_count; ++child_pos) {
ASTNode node = (ASTNode) ast.getChild(child_pos);
int type = node.getToken().getType();
if (type == HiveParser.TOK_SELECT) {
selectNode = node;
} else if (type == HiveParser.TOK_GROUPBY) {
groupbyNode = node;
} else if (type == HiveParser.TOK_ORDERBY) {
orderbyNode = node;
}
}
if (selectNode != null) {
int selectExpCnt = selectNode.getChildCount();
// replace each of the position alias in GROUPBY with the actual column name
if (groupbyNode != null) {
for (int child_pos = 0; child_pos < groupbyNode.getChildCount(); ++child_pos) {
ASTNode node = (ASTNode) groupbyNode.getChild(child_pos);
if (node.getToken().getType() == HiveParser.Number) {
int pos = Integer.parseInt(node.getText());
if (pos > 0 && pos <= selectExpCnt) {
groupbyNode.setChild(child_pos,
(BaseTree) selectNode.getChild(pos - 1).getChild(0));
} else {
throw new SemanticException(
ErrorMsg.INVALID_POSITION_ALIAS_IN_GROUPBY.getMsg(
"Position alias: " + pos + " does not exist\n" +
"The Select List is indexed from 1 to " + selectExpCnt));
}
}
}
}
// replace each of the position alias in ORDERBY with the actual column name
if (orderbyNode != null) {
isAllCol = false;
for (int child_pos = 0; child_pos < selectNode.getChildCount(); ++child_pos) {
ASTNode node = (ASTNode) selectNode.getChild(child_pos).getChild(0);
if (node.getToken().getType() == HiveParser.TOK_ALLCOLREF) {
isAllCol = true;
}
}
for (int child_pos = 0; child_pos < orderbyNode.getChildCount(); ++child_pos) {
ASTNode colNode = (ASTNode) orderbyNode.getChild(child_pos);
ASTNode node = (ASTNode) colNode.getChild(0);
if (node.getToken().getType() == HiveParser.Number) {
if (!isAllCol) {
int pos = Integer.parseInt(node.getText());
if (pos > 0 && pos <= selectExpCnt) {
colNode.setChild(0, (BaseTree) selectNode.getChild(pos - 1).getChild(0));
} else {
throw new SemanticException(
ErrorMsg.INVALID_POSITION_ALIAS_IN_ORDERBY.getMsg(
"Position alias: " + pos + " does not exist\n" +
"The Select List is indexed from 1 to " + selectExpCnt));
}
} else {
throw new SemanticException(
ErrorMsg.NO_SUPPORTED_ORDERBY_ALLCOLREF_POS.getMsg());
}
}
}
}
}
// Recursively process through the children ASTNodes
for (int child_pos = 0; child_pos < child_count; ++child_pos) {
processPositionAlias((ASTNode) ast.getChild(child_pos));
}
return;
}
/**
* process analyze ... partial command
*
* separate it from noscan command process so that it provides us flexibility
*
* @param tree
* @throws SemanticException
*/
protected void processPartialScanCommand (ASTNode tree) throws SemanticException {
// check if it is partial scan command
this.checkPartialScan(tree);
//validate partial scan
if (this.partialscan) {
validateAnalyzePartialscan(tree);
}
}
/**
* process analyze ... noscan command
* @param tree
* @throws SemanticException
*/
protected void processNoScanCommand (ASTNode tree) throws SemanticException {
// check if it is noscan command
checkNoScan(tree);
//validate noscan
if (this.noscan) {
validateAnalyzeNoscan(tree);
}
}
/**
* Validate noscan command
*
* @param tree
* @throws SemanticException
*/
private void validateAnalyzeNoscan(ASTNode tree) throws SemanticException {
// since it is noscan, it is true table name in command
String tableName = getUnescapedName((ASTNode) tree.getChild(0).getChild(0));
Table tbl;
try {
tbl = db.getTable(tableName);
} catch (HiveException e) {
throw new SemanticException(ErrorMsg.INVALID_TABLE.getMsg(tableName));
}
/* noscan uses hdfs apis to retrieve such information from Namenode. */
/* But that will be specific to hdfs. Through storagehandler mechanism, */
/* storage of table could be on any storage system: hbase, cassandra etc. */
/* A nice error message should be given to user. */
if (tbl.isNonNative()) {
throw new SemanticException(ErrorMsg.ANALYZE_TABLE_NOSCAN_NON_NATIVE.getMsg(tbl
.getTableName()));
}
}
/**
* Validate partialscan command
*
* @param tree
* @throws SemanticException
*/
private void validateAnalyzePartialscan(ASTNode tree) throws SemanticException {
// since it is partialscan, it is true table name in command
String tableName = getUnescapedName((ASTNode) tree.getChild(0).getChild(0));
Table tbl;
try {
tbl = db.getTable(tableName);
} catch (HiveException e) {
throw new SemanticException(ErrorMsg.INVALID_TABLE.getMsg(tableName));
}
/* partialscan uses hdfs apis to retrieve such information from Namenode. */
/* But that will be specific to hdfs. Through storagehandler mechanism, */
/* storage of table could be on any storage system: hbase, cassandra etc. */
/* A nice error message should be given to user. */
if (tbl.isNonNative()) {
throw new SemanticException(ErrorMsg.ANALYZE_TABLE_PARTIALSCAN_NON_NATIVE.getMsg(tbl
.getTableName()));
}
/**
* Partial scan doesn't support external table.
*/
if(tbl.getTableType().equals(TableType.EXTERNAL_TABLE)) {
throw new SemanticException(ErrorMsg.ANALYZE_TABLE_PARTIALSCAN_EXTERNAL_TABLE.getMsg(tbl
.getTableName()));
}
if (!HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVESTATSAUTOGATHER)) {
throw new SemanticException(ErrorMsg.ANALYZE_TABLE_PARTIALSCAN_AUTOGATHER.getMsg());
}
}
/**
* It will check if this is analyze ... compute statistics noscan
* @param tree
*/
private void checkNoScan(ASTNode tree) {
if (tree.getChildCount() > 1) {
ASTNode child0 = (ASTNode) tree.getChild(0);
ASTNode child1;
if (child0.getToken().getType() == HiveParser.TOK_TAB) {
child0 = (ASTNode) child0.getChild(0);
if (child0.getToken().getType() == HiveParser.TOK_TABNAME) {
child1 = (ASTNode) tree.getChild(1);
if (child1.getToken().getType() == HiveParser.KW_NOSCAN) {
this.noscan = true;
}
}
}
}
}
/**
* It will check if this is analyze ... compute statistics partialscan
* @param tree
*/
private void checkPartialScan(ASTNode tree) {
if (tree.getChildCount() > 1) {
ASTNode child0 = (ASTNode) tree.getChild(0);
ASTNode child1;
if (child0.getToken().getType() == HiveParser.TOK_TAB) {
child0 = (ASTNode) child0.getChild(0);
if (child0.getToken().getType() == HiveParser.TOK_TABNAME) {
child1 = (ASTNode) tree.getChild(1);
if (child1.getToken().getType() == HiveParser.KW_PARTIALSCAN) {
this.partialscan = true;
}
}
}
}
}
public QB getQB() {
return qb;
}
public void setQB(QB qb) {
this.qb = qb;
}
//--------------------------- PTF handling -----------------------------------
/*
* - a partitionTableFunctionSource can be a tableReference, a SubQuery or another
* PTF invocation.
* - For a TABLEREF: set the source to the alias returned by processTable
* - For a SubQuery: set the source to the alias returned by processSubQuery
* - For a PTF invocation: recursively call processPTFChain.
*/
private PTFInputSpec processPTFSource(QB qb, ASTNode inputNode) throws SemanticException{
PTFInputSpec qInSpec = null;
int type = inputNode.getType();
String alias;
switch(type)
{
case HiveParser.TOK_TABREF:
alias = processTable(qb, inputNode);
qInSpec = new PTFQueryInputSpec();
((PTFQueryInputSpec)qInSpec).setType(PTFQueryInputType.TABLE);
((PTFQueryInputSpec)qInSpec).setSource(alias);
break;
case HiveParser.TOK_SUBQUERY:
alias = processSubQuery(qb, inputNode);
qInSpec = new PTFQueryInputSpec();
((PTFQueryInputSpec)qInSpec).setType(PTFQueryInputType.SUBQUERY);
((PTFQueryInputSpec)qInSpec).setSource(alias);
break;
case HiveParser.TOK_PTBLFUNCTION:
qInSpec = processPTFChain(qb, inputNode);
break;
default:
throw new SemanticException(generateErrorMessage(inputNode,
"Unknown input type to PTF"));
}
qInSpec.setAstNode(inputNode);
return qInSpec;
}
/*
* - tree form is
* ^(TOK_PTBLFUNCTION name alias? partitionTableFunctionSource partitioningSpec? arguments*)
* - a partitionTableFunctionSource can be a tableReference, a SubQuery or another
* PTF invocation.
*/
private PartitionedTableFunctionSpec processPTFChain(QB qb, ASTNode ptf)
throws SemanticException{
int child_count = ptf.getChildCount();
if (child_count < 2) {
throw new SemanticException(generateErrorMessage(ptf,
"Not enough Children " + child_count));
}
PartitionedTableFunctionSpec ptfSpec = new PartitionedTableFunctionSpec();
ptfSpec.setAstNode(ptf);
/*
* name
*/
ASTNode nameNode = (ASTNode) ptf.getChild(0);
ptfSpec.setName(nameNode.getText());
int inputIdx = 1;
/*
* alias
*/
ASTNode secondChild = (ASTNode) ptf.getChild(1);
if ( secondChild.getType() == HiveParser.Identifier ) {
ptfSpec.setAlias(secondChild.getText());
inputIdx++;
}
/*
* input
*/
ASTNode inputNode = (ASTNode) ptf.getChild(inputIdx);
ptfSpec.setInput(processPTFSource(qb, inputNode));
int argStartIdx = inputIdx + 1;
/*
* partitioning Spec
*/
int pSpecIdx = inputIdx + 1;
ASTNode pSpecNode = ptf.getChildCount() > inputIdx ?
(ASTNode) ptf.getChild(pSpecIdx) : null;
if (pSpecNode != null && pSpecNode.getType() == HiveParser.TOK_PARTITIONINGSPEC)
{
PartitioningSpec partitioning = processPTFPartitionSpec(pSpecNode);
ptfSpec.setPartitioning(partitioning);
argStartIdx++;
}
/*
* arguments
*/
for(int i=argStartIdx; i < ptf.getChildCount(); i++)
{
ptfSpec.addArg((ASTNode) ptf.getChild(i));
}
return ptfSpec;
}
/*
* - invoked during FROM AST tree processing, on encountering a PTF invocation.
* - tree form is
* ^(TOK_PTBLFUNCTION name partitionTableFunctionSource partitioningSpec? arguments*)
* - setup a PTFInvocationSpec for this top level PTF invocation.
*/
private void processPTF(QB qb, ASTNode ptf) throws SemanticException{
PartitionedTableFunctionSpec ptfSpec = processPTFChain(qb, ptf);
if ( ptfSpec.getAlias() != null ) {
qb.addAlias(ptfSpec.getAlias());
}
PTFInvocationSpec spec = new PTFInvocationSpec();
spec.setFunction(ptfSpec);
qb.addPTFNodeToSpec(ptf, spec);
}
private void handleQueryWindowClauses(QB qb, Phase1Ctx ctx_1, ASTNode node)
throws SemanticException {
WindowingSpec spec = qb.getWindowingSpec(ctx_1.dest);
for(int i=0; i < node.getChildCount(); i++) {
processQueryWindowClause(spec, (ASTNode) node.getChild(i));
}
}
private PartitionSpec processPartitionSpec(ASTNode node) {
PartitionSpec pSpec = new PartitionSpec();
int exprCnt = node.getChildCount();
for(int i=0; i < exprCnt; i++) {
PartitionExpression exprSpec = new PartitionExpression();
exprSpec.setExpression((ASTNode) node.getChild(i));
pSpec.addExpression(exprSpec);
}
return pSpec;
}
private OrderSpec processOrderSpec(ASTNode sortNode) {
OrderSpec oSpec = new OrderSpec();
int exprCnt = sortNode.getChildCount();
for(int i=0; i < exprCnt; i++) {
OrderExpression exprSpec = new OrderExpression();
exprSpec.setExpression((ASTNode) sortNode.getChild(i).getChild(0));
if ( sortNode.getChild(i).getType() == HiveParser.TOK_TABSORTCOLNAMEASC ) {
exprSpec.setOrder(org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.Order.ASC);
}
else {
exprSpec.setOrder(org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.Order.DESC);
}
oSpec.addExpression(exprSpec);
}
return oSpec;
}
private PartitioningSpec processPTFPartitionSpec(ASTNode pSpecNode)
{
PartitioningSpec partitioning = new PartitioningSpec();
ASTNode firstChild = (ASTNode) pSpecNode.getChild(0);
int type = firstChild.getType();
int exprCnt;
if ( type == HiveParser.TOK_DISTRIBUTEBY || type == HiveParser.TOK_CLUSTERBY )
{
PartitionSpec pSpec = processPartitionSpec(firstChild);
partitioning.setPartSpec(pSpec);
ASTNode sortNode = pSpecNode.getChildCount() > 1 ? (ASTNode) pSpecNode.getChild(1) : null;
if ( sortNode != null )
{
OrderSpec oSpec = processOrderSpec(sortNode);
partitioning.setOrderSpec(oSpec);
}
}
else if ( type == HiveParser.TOK_SORTBY || type == HiveParser.TOK_ORDERBY ) {
ASTNode sortNode = firstChild;
OrderSpec oSpec = processOrderSpec(sortNode);
partitioning.setOrderSpec(oSpec);
}
return partitioning;
}
private WindowFunctionSpec processWindowFunction(ASTNode node, ASTNode wsNode)
throws SemanticException {
WindowFunctionSpec wfSpec = new WindowFunctionSpec();
switch(node.getType()) {
case HiveParser.TOK_FUNCTIONSTAR:
wfSpec.setStar(true);
break;
case HiveParser.TOK_FUNCTIONDI:
wfSpec.setDistinct(true);
break;
}
if ( wfSpec.isDistinct() ) {
throw new SemanticException(generateErrorMessage(node,
"Count/Sum distinct not supported with Windowing"));
}
wfSpec.setExpression(node);
ASTNode nameNode = (ASTNode) node.getChild(0);
wfSpec.setName(nameNode.getText());
for(int i=1; i < node.getChildCount()-1; i++) {
ASTNode child = (ASTNode) node.getChild(i);
wfSpec.addArg(child);
}
if ( wsNode != null ) {
WindowSpec ws = processWindowSpec(wsNode);
wfSpec.setWindowSpec(ws);
}
return wfSpec;
}
private boolean containsLeadLagUDF(ASTNode expressionTree) {
int exprTokenType = expressionTree.getToken().getType();
if (exprTokenType == HiveParser.TOK_FUNCTION) {
assert (expressionTree.getChildCount() != 0);
if (expressionTree.getChild(0).getType() == HiveParser.Identifier) {
String functionName = unescapeIdentifier(expressionTree.getChild(0)
.getText());
functionName = functionName.toLowerCase();
if ( FunctionRegistry.LAG_FUNC_NAME.equals(functionName) ||
FunctionRegistry.LEAD_FUNC_NAME.equals(functionName)
) {
return true;
}
}
}
for (int i = 0; i < expressionTree.getChildCount(); i++) {
if ( containsLeadLagUDF((ASTNode) expressionTree.getChild(i))) {
return true;
}
}
return false;
}
private void processQueryWindowClause(WindowingSpec spec, ASTNode node)
throws SemanticException {
ASTNode nameNode = (ASTNode) node.getChild(0);
ASTNode wsNode = (ASTNode) node.getChild(1);
if(spec.getWindowSpecs() != null && spec.getWindowSpecs().containsKey(nameNode.getText())){
throw new SemanticException(generateErrorMessage(nameNode,
"Duplicate definition of window " + nameNode.getText() +
" is not allowed"));
}
WindowSpec ws = processWindowSpec(wsNode);
spec.addWindowSpec(nameNode.getText(), ws);
}
private WindowSpec processWindowSpec(ASTNode node) throws SemanticException {
String sourceId = null;
PartitionSpec partition = null;
OrderSpec order = null;
WindowFrameSpec windowFrame = null;
boolean hasSrcId = false, hasPartSpec = false, hasWF = false;
int srcIdIdx = -1, partIdx = -1, wfIdx = -1;
for(int i=0; i < node.getChildCount(); i++)
{
int type = node.getChild(i).getType();
switch(type)
{
case HiveParser.Identifier:
hasSrcId = true; srcIdIdx = i;
break;
case HiveParser.TOK_PARTITIONINGSPEC:
hasPartSpec = true; partIdx = i;
break;
case HiveParser.TOK_WINDOWRANGE:
case HiveParser.TOK_WINDOWVALUES:
hasWF = true; wfIdx = i;
break;
}
}
WindowSpec ws = new WindowSpec();
if (hasSrcId) {
ASTNode nameNode = (ASTNode) node.getChild(srcIdIdx);
ws.setSourceId(nameNode.getText());
}
if (hasPartSpec) {
ASTNode partNode = (ASTNode) node.getChild(partIdx);
PartitioningSpec partitioning = processPTFPartitionSpec(partNode);
ws.setPartitioning(partitioning);
}
if ( hasWF)
{
ASTNode wfNode = (ASTNode) node.getChild(wfIdx);
WindowFrameSpec wfSpec = processWindowFrame(wfNode);
ws.setWindowFrame(wfSpec);
}
return ws;
}
private WindowFrameSpec processWindowFrame(ASTNode node) throws SemanticException {
int type = node.getType();
BoundarySpec start = null, end = null;
/*
* A WindowFrame may contain just the Start Boundary or in the
* between style of expressing a WindowFrame both boundaries
* are specified.
*/
start = processBoundary(type, (ASTNode) node.getChild(0));
if ( node.getChildCount() > 1 ) {
end = processBoundary(type, (ASTNode) node.getChild(1));
}
return new WindowFrameSpec(start, end);
}
private BoundarySpec processBoundary(int frameType, ASTNode node) throws SemanticException {
BoundarySpec bs = frameType == HiveParser.TOK_WINDOWRANGE ?
new RangeBoundarySpec() : new ValueBoundarySpec();
int type = node.getType();
boolean hasAmt = true;
switch(type)
{
case HiveParser.KW_PRECEDING:
bs.setDirection(Direction.PRECEDING);
break;
case HiveParser.KW_FOLLOWING:
bs.setDirection(Direction.FOLLOWING);
break;
case HiveParser.KW_CURRENT:
bs = new CurrentRowSpec();
hasAmt = false;
break;
}
if ( hasAmt )
{
ASTNode amtNode = (ASTNode) node.getChild(0);
if ( amtNode.getType() == HiveParser.KW_UNBOUNDED)
{
bs.setAmt(BoundarySpec.UNBOUNDED_AMOUNT);
}
else
{
int amt = Integer.parseInt(amtNode.getText());
if ( amt < 0 ) {
throw new SemanticException(
"Window Frame Boundary Amount must be a +ve integer, amount provide is: " + amt);
}
bs.setAmt(amt);
}
}
return bs;
}
/*
* check if a Select Expr is a constant.
* - current logic used is to look for HiveParser.TOK_TABLE_OR_COL
* - if there is none then the expression is a constant.
*/
private static class ConstantExprCheck implements ContextVisitor {
boolean isConstant = true;
public void visit(Object t, Object parent, int childIndex, Map labels) {
if ( !isConstant ) {
return;
}
ASTNode node = (ASTNode) t;
if (ParseDriver.adaptor.getType(t) == HiveParser.TOK_TABLE_OR_COL ) {
isConstant = false;
}
}
public void reset() {
isConstant = true;
}
protected boolean isConstant() {
return isConstant;
}
}
private static class AggregationExprCheck implements ContextVisitor {
HashMap<String, ASTNode> destAggrExprs;
boolean isAggr = false;
public AggregationExprCheck(HashMap<String, ASTNode> destAggrExprs) {
super();
this.destAggrExprs = destAggrExprs;
}
public void visit(Object t, Object parent, int childIndex, Map labels) {
if ( isAggr ) {
return;
}
if ( destAggrExprs.values().contains(t)) {
isAggr = true;
}
}
public void reset() {
isAggr = false;
}
protected boolean isAggr() {
return isAggr;
}
}
/*
* Returns false if there is a SelectExpr that is not a constant or an aggr.
*
*/
private boolean isValidGroupBySelectList(QB currQB, String clause){
ConstantExprCheck constantExprCheck = new ConstantExprCheck();
AggregationExprCheck aggrExprCheck = new AggregationExprCheck(
currQB.getParseInfo().getAggregationExprsForClause(clause));
TreeWizard tw = new TreeWizard(ParseDriver.adaptor, HiveParser.tokenNames);
ASTNode selectNode = currQB.getParseInfo().getSelForClause(clause);
/*
* for Select Distinct Queries we don't move any aggregations.
*/
if ( selectNode != null && selectNode.getType() == HiveParser.TOK_SELECTDI ) {
return true;
}
for (int i = 0; selectNode != null && i < selectNode.getChildCount(); i++) {
ASTNode selectExpr = (ASTNode) selectNode.getChild(i);
//check for TOK_HINTLIST expressions on ast
if(selectExpr.getType() != HiveParser.TOK_SELEXPR){
continue;
}
constantExprCheck.reset();
PTFTranslator.visit(selectExpr.getChild(0), constantExprCheck);
if ( !constantExprCheck.isConstant() ) {
aggrExprCheck.reset();
PTFTranslator.visit(selectExpr.getChild(0), aggrExprCheck);
if (!aggrExprCheck.isAggr() ) {
return false;
}
}
}
return true;
}
//--------------------------- PTF handling: PTFInvocationSpec to PTFDesc --------------------------
private PTFDesc translatePTFInvocationSpec(PTFInvocationSpec ptfQSpec, RowResolver inputRR)
throws SemanticException{
PTFDesc ptfDesc = null;
PTFTranslator translator = new PTFTranslator();
ptfDesc = translator.translate(ptfQSpec, this, conf, inputRR, unparseTranslator);
return ptfDesc;
}
Operator genPTFPlan(PTFInvocationSpec ptfQSpec, Operator input) throws SemanticException {
ArrayList<PTFInvocationSpec> componentQueries = PTFTranslator.componentize(ptfQSpec);
for (PTFInvocationSpec ptfSpec : componentQueries) {
input = genPTFPlanForComponentQuery(ptfSpec, input);
}
if (LOG.isDebugEnabled()) {
LOG.debug("Created PTF Plan ");
}
return input;
}
/**
* Construct the data structures containing ExprNodeDesc for partition
* columns and order columns. Use the input definition to construct the list
* of output columns for the ReduceSinkOperator
*
* @throws SemanticException
*/
void buildPTFReduceSinkDetails(PartitionedTableFunctionDef tabDef,
RowResolver inputRR,
ArrayList<ExprNodeDesc> partCols,
ArrayList<ExprNodeDesc> valueCols,
ArrayList<ExprNodeDesc> orderCols,
Map<String, ExprNodeDesc> colExprMap,
List<String> outputColumnNames,
StringBuilder orderString,
RowResolver rsOpRR,
RowResolver extractRR) throws SemanticException {
ArrayList<PTFExpressionDef> partColList = tabDef.getPartition().getExpressions();
for (PTFExpressionDef colDef : partColList) {
partCols.add(colDef.getExprNode());
orderCols.add(colDef.getExprNode());
orderString.append('+');
}
/*
* Order columns are used as key columns for constructing
* the ReduceSinkOperator
* Since we do not explicitly add these to outputColumnNames,
* we need to set includeKeyCols = false while creating the
* ReduceSinkDesc
*/
ArrayList<OrderExpressionDef> orderColList = tabDef.getOrder().getExpressions();
for (int i = 0; i < orderColList.size(); i++) {
OrderExpressionDef colDef = orderColList.get(i);
org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.Order order = colDef.getOrder();
if (order.name().equals("ASC")) {
orderString.append('+');
} else {
orderString.append('-');
}
orderCols.add(colDef.getExprNode());
}
ArrayList<ColumnInfo> colInfoList = inputRR.getColumnInfos();
/*
* construct the ReduceSinkRR
*/
int pos = 0;
for (ColumnInfo colInfo : colInfoList) {
ExprNodeDesc valueColExpr = new ExprNodeColumnDesc(colInfo.getType(), colInfo
.getInternalName(), colInfo.getTabAlias(), colInfo
.getIsVirtualCol());
valueCols.add(valueColExpr);
colExprMap.put(colInfo.getInternalName(), valueColExpr);
String outColName = SemanticAnalyzer.getColumnInternalName(pos++);
outputColumnNames.add(outColName);
String[] alias = inputRR.reverseLookup(colInfo.getInternalName());
ColumnInfo newColInfo = new ColumnInfo(
outColName, colInfo.getType(), alias[0],
colInfo.getIsVirtualCol(), colInfo.isHiddenVirtualCol());
rsOpRR.put(alias[0], alias[1], newColInfo);
}
/*
* construct the ExtractRR
*/
LinkedHashMap<String[], ColumnInfo> colsAddedByHaving =
new LinkedHashMap<String[], ColumnInfo>();
pos = 0;
for (ColumnInfo colInfo : colInfoList) {
String[] alias = inputRR.reverseLookup(colInfo.getInternalName());
/*
* if we have already encountered this colInfo internalName.
* We encounter it again because it must be put for the Having clause.
* We will add these entries in the end; in a loop on colsAddedByHaving. See below.
*/
if ( colsAddedByHaving.containsKey(alias)) {
continue;
}
ASTNode astNode = PTFTranslator.getASTNode(colInfo, inputRR);
ColumnInfo eColInfo = new ColumnInfo(
SemanticAnalyzer.getColumnInternalName(pos++), colInfo.getType(), alias[0],
colInfo.getIsVirtualCol(), colInfo.isHiddenVirtualCol());
if ( astNode == null ) {
extractRR.put(alias[0], alias[1], eColInfo);
}
else {
/*
* in case having clause refers to this column may have been added twice;
* once with the ASTNode.toStringTree as the alias
* and then with the real alias.
*/
extractRR.putExpression(astNode, eColInfo);
if ( !astNode.toStringTree().toLowerCase().equals(alias[1]) ) {
colsAddedByHaving.put(alias, eColInfo);
}
}
}
for(Map.Entry<String[], ColumnInfo> columnAddedByHaving : colsAddedByHaving.entrySet() ) {
String[] alias = columnAddedByHaving.getKey();
ColumnInfo eColInfo = columnAddedByHaving.getValue();
extractRR.put(alias[0], alias[1], eColInfo);
}
}
private Operator genPTFPlanForComponentQuery(PTFInvocationSpec ptfQSpec, Operator input)
throws SemanticException {
/*
* 1. Create the PTFDesc from the Qspec attached to this QB.
*/
RowResolver rr = opParseCtx.get(input).getRowResolver();
PTFDesc ptfDesc = translatePTFInvocationSpec(ptfQSpec, rr);
RowResolver rsOpRR = new RowResolver();
/*
* Build an RR for the Extract Op from the ResuceSink Op's RR.
* Why?
* We need to remove the Virtual Columns present in the RS's RR. The OI
* that gets passed to Extract at runtime doesn't contain the Virtual Columns.
* So internal names get changed. Consider testCase testJoinWithLeadLag,
* which is a self join on part and also has a Windowing expression.
* The RR of the RS op at transaltion time looks something like this:
* (_co1,_col2,..,_col7, _col8(vc=true),_col9(vc=true),
* _col10,_col11,.._col15(vc=true),_col16(vc=true),..)
* At runtime the Virtual columns are removed and all the columns after _col7
* are shifted 1 or 2 positions.
* So in child Operators ColumnExprNodeDesc's are no longer referring to the right columns.
*
* So we build a new RR for the Extract Op, with the Virtual Columns removed.
* We hand this to the PTFTranslator as the
* starting RR to use to translate a PTF Chain.
*/
RowResolver extractOpRR = new RowResolver();
/*
* 2. build Map-side Op Graph. Graph template is either:
* Input -> PTF_map -> ReduceSink
* or
* Input -> ReduceSink
*
* Here the ExprNodeDescriptors in the QueryDef are based on the Input Operator's RR.
*/
{
PartitionedTableFunctionDef tabDef = ptfDesc.getStartOfChain();
/*
* a. add Map-side PTF Operator if needed
*/
if (tabDef.isTransformsRawInput() )
{
RowResolver ptfMapRR = tabDef.getRawInputShape().getRr();
ptfDesc.setMapSide(true);
input = putOpInsertMap(OperatorFactory.getAndMakeChild(ptfDesc,
new RowSchema(ptfMapRR.getColumnInfos()),
input), ptfMapRR);
rr = opParseCtx.get(input).getRowResolver();
}
/*
* b. Build Reduce Sink Details (keyCols, valueCols, outColNames etc.) for this ptfDesc.
*/
ArrayList<ExprNodeDesc> partCols = new ArrayList<ExprNodeDesc>();
ArrayList<ExprNodeDesc> valueCols = new ArrayList<ExprNodeDesc>();
ArrayList<ExprNodeDesc> orderCols = new ArrayList<ExprNodeDesc>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
List<String> outputColumnNames = new ArrayList<String>();
StringBuilder orderString = new StringBuilder();
/*
* Use the input RR of TableScanOperator in case there is no map-side
* reshape of input.
* If the parent of ReduceSinkOperator is PTFOperator, use it's
* output RR.
*/
buildPTFReduceSinkDetails(tabDef,
rr,
partCols,
valueCols,
orderCols,
colExprMap,
outputColumnNames,
orderString,
rsOpRR,
extractOpRR);
input = putOpInsertMap(OperatorFactory.getAndMakeChild(PlanUtils
.getReduceSinkDesc(orderCols,
valueCols, outputColumnNames, false,
-1, partCols, orderString.toString(), -1),
new RowSchema(rsOpRR.getColumnInfos()), input), rsOpRR);
input.setColumnExprMap(colExprMap);
}
/*
* 3. build Reduce-side Op Graph
*/
{
/*
* b. Construct Extract Operator.
*/
input = putOpInsertMap(OperatorFactory.getAndMakeChild(
new ExtractDesc(
new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo,
Utilities.ReduceField.VALUE
.toString(), "", false)),
new RowSchema(extractOpRR.getColumnInfos()),
input), extractOpRR);
/*
* c. Rebuilt the QueryDef.
* Why?
* - so that the ExprNodeDescriptors in the QueryDef are based on the
* Extract Operator's RowResolver
*/
rr = opParseCtx.get(input).getRowResolver();
ptfDesc = translatePTFInvocationSpec(ptfQSpec, rr);
/*
* d. Construct PTF Operator.
*/
RowResolver ptfOpRR = ptfDesc.getFuncDef().getOutputShape().getRr();
input = putOpInsertMap(OperatorFactory.getAndMakeChild(ptfDesc,
new RowSchema(ptfOpRR.getColumnInfos()),
input), ptfOpRR);
}
return input;
}
//--------------------------- Windowing handling: PTFInvocationSpec to PTFDesc --------------------
Operator genWindowingPlan(WindowingSpec wSpec, Operator input) throws SemanticException {
wSpec.validateAndMakeEffective();
WindowingComponentizer groups = new WindowingComponentizer(wSpec);
RowResolver rr = opParseCtx.get(input).getRowResolver();
while(groups.hasNext() ) {
wSpec = groups.next(conf, this, unparseTranslator, rr);
input = genReduceSinkPlanForWindowing(wSpec, rr, input);
rr = opParseCtx.get(input).getRowResolver();
PTFTranslator translator = new PTFTranslator();
PTFDesc ptfDesc = translator.translate(wSpec, this, conf, rr, unparseTranslator);
RowResolver ptfOpRR = ptfDesc.getFuncDef().getOutputShape().getRr();
input = putOpInsertMap(OperatorFactory.getAndMakeChild(ptfDesc,
new RowSchema(ptfOpRR.getColumnInfos()),
input), ptfOpRR);
rr = ptfOpRR;
}
return input;
}
private Operator genReduceSinkPlanForWindowing(WindowingSpec spec,
RowResolver inputRR,
Operator input) throws SemanticException{
ArrayList<ExprNodeDesc> partCols = new ArrayList<ExprNodeDesc>();
ArrayList<ExprNodeDesc> valueCols = new ArrayList<ExprNodeDesc>();
ArrayList<ExprNodeDesc> orderCols = new ArrayList<ExprNodeDesc>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
List<String> outputColumnNames = new ArrayList<String>();
StringBuilder orderString = new StringBuilder();
ArrayList<PartitionExpression> partColList = spec.getQueryPartitionSpec().getExpressions();
for (PartitionExpression partCol : partColList) {
ExprNodeDesc partExpr = genExprNodeDesc(partCol.getExpression(), inputRR);
partCols.add(partExpr);
orderCols.add(partExpr);
orderString.append('+');
}
ArrayList<OrderExpression> orderColList = spec.getQueryOrderSpec() == null ?
new ArrayList<PTFInvocationSpec.OrderExpression>() :
spec.getQueryOrderSpec().getExpressions();
for (int i = 0; i < orderColList.size(); i++) {
OrderExpression orderCol = orderColList.get(i);
org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.Order order = orderCol.getOrder();
if (order.name().equals("ASC")) {
orderString.append('+');
} else {
orderString.append('-');
}
ExprNodeDesc orderExpr = genExprNodeDesc(orderCol.getExpression(), inputRR);
orderCols.add(orderExpr);
}
ArrayList<ColumnInfo> colInfoList = inputRR.getColumnInfos();
RowResolver rsNewRR = new RowResolver();
int pos = 0;
for (ColumnInfo colInfo : colInfoList) {
ExprNodeDesc valueColExpr = new ExprNodeColumnDesc(colInfo.getType(), colInfo
.getInternalName(), colInfo.getTabAlias(), colInfo
.getIsVirtualCol());
valueCols.add(valueColExpr);
colExprMap.put(colInfo.getInternalName(), valueColExpr);
String outColName = SemanticAnalyzer.getColumnInternalName(pos++);
outputColumnNames.add(outColName);
String[] alias = inputRR.reverseLookup(colInfo.getInternalName());
ColumnInfo newColInfo = new ColumnInfo(
outColName, colInfo.getType(), alias[0],
colInfo.getIsVirtualCol(), colInfo.isHiddenVirtualCol());
rsNewRR.put(alias[0], alias[1], newColInfo);
}
input = putOpInsertMap(OperatorFactory.getAndMakeChild(PlanUtils
.getReduceSinkDesc(orderCols,
valueCols, outputColumnNames, false,
-1, partCols, orderString.toString(), -1),
new RowSchema(rsNewRR.getColumnInfos()), input), rsNewRR);
input.setColumnExprMap(colExprMap);
// Construct the RR for extract operator
RowResolver extractRR = new RowResolver();
LinkedHashMap<String[], ColumnInfo> colsAddedByHaving =
new LinkedHashMap<String[], ColumnInfo>();
pos = 0;
for (ColumnInfo colInfo : colInfoList) {
String[] alias = inputRR.reverseLookup(colInfo.getInternalName());
/*
* if we have already encountered this colInfo internalName.
* We encounter it again because it must be put for the Having clause.
* We will add these entries in the end; in a loop on colsAddedByHaving. See below.
*/
if ( colsAddedByHaving.containsKey(alias)) {
continue;
}
ASTNode astNode = PTFTranslator.getASTNode(colInfo, inputRR);
ColumnInfo eColInfo = new ColumnInfo(
SemanticAnalyzer.getColumnInternalName(pos++), colInfo.getType(), alias[0],
colInfo.getIsVirtualCol(), colInfo.isHiddenVirtualCol());
if ( astNode == null ) {
extractRR.put(alias[0], alias[1], eColInfo);
}
else {
/*
* in case having clause refers to this column may have been added twice;
* once with the ASTNode.toStringTree as the alias
* and then with the real alias.
*/
extractRR.putExpression(astNode, eColInfo);
if ( !astNode.toStringTree().toLowerCase().equals(alias[1]) ) {
colsAddedByHaving.put(alias, eColInfo);
}
}
}
for(Map.Entry<String[], ColumnInfo> columnAddedByHaving : colsAddedByHaving.entrySet() ) {
String[] alias = columnAddedByHaving.getKey();
ColumnInfo eColInfo = columnAddedByHaving.getValue();
extractRR.put(alias[0], alias[1], eColInfo);
}
/*
* b. Construct Extract Operator.
*/
input = putOpInsertMap(OperatorFactory.getAndMakeChild(
new ExtractDesc(
new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo,
Utilities.ReduceField.VALUE
.toString(), "", false)),
new RowSchema(inputRR.getColumnInfos()),
input), extractRR);
return input;
}
public static ArrayList<WindowExpressionSpec> parseSelect(String selectExprStr)
throws SemanticException
{
ASTNode selNode = null;
try {
ParseDriver pd = new ParseDriver();
selNode = pd.parseSelect(selectExprStr, null);
} catch (ParseException pe) {
throw new SemanticException(pe);
}
ArrayList<WindowExpressionSpec> selSpec = new ArrayList<WindowExpressionSpec>();
int childCount = selNode.getChildCount();
for (int i = 0; i < childCount; i++) {
ASTNode selExpr = (ASTNode) selNode.getChild(i);
if (selExpr.getType() != HiveParser.TOK_SELEXPR) {
throw new SemanticException(String.format(
"Only Select expressions supported in dynamic select list: %s", selectExprStr));
}
ASTNode expr = (ASTNode) selExpr.getChild(0);
if (expr.getType() == HiveParser.TOK_ALLCOLREF) {
throw new SemanticException(
String.format("'%s' column not allowed in dynamic select list", selectExprStr));
}
ASTNode aliasNode = selExpr.getChildCount() > 1
&& selExpr.getChild(1).getType() == HiveParser.Identifier ?
(ASTNode) selExpr.getChild(1) : null;
String alias = null;
if ( aliasNode != null ) {
alias = aliasNode.getText();
}
else {
String[] tabColAlias = getColAlias(selExpr, null, null, true, -1);
alias = tabColAlias[1];
}
WindowExpressionSpec exprSpec = new WindowExpressionSpec();
exprSpec.setAlias(alias);
exprSpec.setExpression(expr);
selSpec.add(exprSpec);
}
return selSpec;
}
}