/**
* 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.exec.tez;
import java.io.IOException;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hive.ql.exec.HashTableDummyOperator;
import org.apache.hadoop.hive.ql.exec.MapOperator;
import org.apache.hadoop.hive.ql.exec.MapredContext;
import org.apache.hadoop.hive.ql.exec.ObjectCache;
import org.apache.hadoop.hive.ql.exec.ObjectCacheFactory;
import org.apache.hadoop.hive.ql.exec.Operator;
import org.apache.hadoop.hive.ql.exec.OperatorUtils;
import org.apache.hadoop.hive.ql.exec.Utilities;
import org.apache.hadoop.hive.ql.exec.mr.ExecMapper.reportStats;
import org.apache.hadoop.hive.ql.exec.mr.ExecMapperContext;
import org.apache.hadoop.hive.ql.exec.tez.TezProcessor.TezKVOutputCollector;
import org.apache.hadoop.hive.ql.exec.vector.VectorMapOperator;
import org.apache.hadoop.hive.ql.log.PerfLogger;
import org.apache.hadoop.hive.ql.plan.MapWork;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.util.StringUtils;
import org.apache.tez.mapreduce.input.MRInputLegacy;
import org.apache.tez.mapreduce.processor.MRTaskReporter;
import org.apache.tez.runtime.api.LogicalInput;
import org.apache.tez.runtime.api.LogicalOutput;
import org.apache.tez.runtime.api.TezProcessorContext;
import org.apache.tez.runtime.library.api.KeyValueReader;
/**
* Process input from tez LogicalInput and write output - for a map plan
* Just pump the records through the query plan.
*/
public class MapRecordProcessor extends RecordProcessor {
private MapOperator mapOp;
public static final Log l4j = LogFactory.getLog(MapRecordProcessor.class);
private final ExecMapperContext execContext = new ExecMapperContext();
private boolean abort = false;
protected static final String MAP_PLAN_KEY = "__MAP_PLAN__";
private MapWork mapWork;
@Override
void init(JobConf jconf, TezProcessorContext processorContext, MRTaskReporter mrReporter,
Map<String, LogicalInput> inputs, Map<String, LogicalOutput> outputs) throws Exception {
perfLogger.PerfLogBegin(CLASS_NAME, PerfLogger.TEZ_INIT_OPERATORS);
super.init(jconf, processorContext, mrReporter, inputs, outputs);
//Update JobConf using MRInput, info like filename comes via this
MRInputLegacy mrInput = TezProcessor.getMRInput(inputs);
Configuration updatedConf = mrInput.getConfigUpdates();
if (updatedConf != null) {
for (Entry<String, String> entry : updatedConf) {
jconf.set(entry.getKey(), entry.getValue());
}
}
createOutputMap();
// Start all the Outputs.
for (Entry<String, LogicalOutput> outputEntry : outputs.entrySet()) {
l4j.info("Starting Output: " + outputEntry.getKey());
outputEntry.getValue().start();
((TezKVOutputCollector) outMap.get(outputEntry.getKey())).initialize();
}
ObjectCache cache = ObjectCacheFactory.getCache(jconf);
try {
execContext.setJc(jconf);
// create map and fetch operators
mapWork = (MapWork) cache.retrieve(MAP_PLAN_KEY);
if (mapWork == null) {
mapWork = Utilities.getMapWork(jconf);
cache.cache(MAP_PLAN_KEY, mapWork);
l4j.info("Plan: "+mapWork);
for (String s: mapWork.getAliases()) {
l4j.info("Alias: "+s);
}
} else {
Utilities.setMapWork(jconf, mapWork);
}
if (mapWork.getVectorMode()) {
mapOp = new VectorMapOperator();
} else {
mapOp = new MapOperator();
}
// initialize map operator
mapOp.setConf(mapWork);
mapOp.setChildren(jconf);
l4j.info(mapOp.dump(0));
MapredContext.init(true, new JobConf(jconf));
((TezContext)MapredContext.get()).setInputs(inputs);
mapOp.setExecContext(execContext);
mapOp.initializeLocalWork(jconf);
mapOp.initialize(jconf, null);
// Initialization isn't finished until all parents of all operators
// are initialized. For broadcast joins that means initializing the
// dummy parent operators as well.
List<HashTableDummyOperator> dummyOps = mapWork.getDummyOps();
if (dummyOps != null) {
for (Operator<? extends OperatorDesc> dummyOp : dummyOps){
dummyOp.setExecContext(execContext);
dummyOp.initialize(jconf, null);
}
}
OperatorUtils.setChildrenCollector(mapOp.getChildOperators(), outMap);
mapOp.setReporter(reporter);
MapredContext.get().setReporter(reporter);
} catch (Throwable e) {
abort = true;
if (e instanceof OutOfMemoryError) {
// will this be true here?
// Don't create a new object if we are already out of memory
throw (OutOfMemoryError) e;
} else {
throw new RuntimeException("Map operator initialization failed", e);
}
}
perfLogger.PerfLogEnd(CLASS_NAME, PerfLogger.TEZ_INIT_OPERATORS);
}
@Override
void run() throws IOException{
MRInputLegacy in = TezProcessor.getMRInput(inputs);
KeyValueReader reader = in.getReader();
//process records until done
while(reader.next()){
//ignore the key for maps - reader.getCurrentKey();
Object value = reader.getCurrentValue();
boolean needMore = processRow(value);
if(!needMore){
break;
}
}
}
/**
* @param value value to process
* @return true if it is not done and can take more inputs
*/
private boolean processRow(Object value) {
// reset the execContext for each new row
execContext.resetRow();
try {
if (mapOp.getDone()) {
return false; //done
} else {
// Since there is no concept of a group, we don't invoke
// startGroup/endGroup for a mapper
mapOp.process((Writable)value);
if (isLogInfoEnabled) {
logProgress();
}
}
} catch (Throwable e) {
abort = true;
if (e instanceof OutOfMemoryError) {
// Don't create a new object if we are already out of memory
throw (OutOfMemoryError) e;
} else {
l4j.fatal(StringUtils.stringifyException(e));
throw new RuntimeException(e);
}
}
return true; //give me more
}
@Override
void close(){
// check if there are IOExceptions
if (!abort) {
abort = execContext.getIoCxt().getIOExceptions();
}
// detecting failed executions by exceptions thrown by the operator tree
try {
mapOp.close(abort);
// Need to close the dummyOps as well. The operator pipeline
// is not considered "closed/done" unless all operators are
// done. For broadcast joins that includes the dummy parents.
List<HashTableDummyOperator> dummyOps = mapWork.getDummyOps();
if (dummyOps != null) {
for (Operator<? extends OperatorDesc> dummyOp : dummyOps){
dummyOp.close(abort);
}
}
if (isLogInfoEnabled) {
logCloseInfo();
}
reportStats rps = new reportStats(reporter);
mapOp.preorderMap(rps);
return;
} catch (Exception e) {
if (!abort) {
// signal new failure to map-reduce
l4j.error("Hit error while closing operators - failing tree");
throw new RuntimeException("Hive Runtime Error while closing operators", e);
}
} finally {
Utilities.clearWorkMap();
MapredContext.close();
}
}
}