Package org.apache.hadoop.hive.ql.udf.generic

Examples of org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd

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                // If there are previous nodes, then AND the current node with the previous one
                List<ExprNodeDesc> childrenAND = new ArrayList<ExprNodeDesc>();
                childrenAND.add(currExprNodeDesc);
                childrenAND.add(expr);
                currExprNodeDesc =
                  ExprNodeGenericFuncDesc.newInstance(new GenericUDFOPAnd(), childrenAND);
              }
            }

            // If there are more than one skewed values,
            // then OR the current node with the previous one
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    ExprNodeConstantDesc con1 = new ExprNodeConstantDesc(1000.0);
    childExpr1.add(col1);
    childExpr1.add(con1);
    ExprNodeGenericFuncDesc en1 = new ExprNodeGenericFuncDesc(inspector, udf1, childExpr1);

    GenericUDF udf2 = new GenericUDFOPAnd();
    List<ExprNodeDesc> childExpr2 = Lists.newArrayList();
    childExpr2.add(en);
    childExpr2.add(en1);
    ExprNodeGenericFuncDesc en2 = new ExprNodeGenericFuncDesc(inspector, udf2, childExpr2);
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    List<ExprNodeDesc> children2 = new ArrayList<ExprNodeDesc>(2);
    children2.add(col2Expr);
    children2.add(const2Desc);
    lessExprDesc.setChildren(children2);

    GenericUDFOPAnd andUdf = new GenericUDFOPAnd();
    ExprNodeGenericFuncDesc andExprDesc = new ExprNodeGenericFuncDesc();
    andExprDesc.setTypeInfo(TypeInfoFactory.booleanTypeInfo);
    andExprDesc.setGenericUDF(andUdf);
    List<ExprNodeDesc> children3 = new ArrayList<ExprNodeDesc>(2);
    children3.add(greaterExprDesc);
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    children1.add(constDesc);
    greaterExprDesc.setChildren(children1);

    ExprNodeColumnDesc col2Expr = new ExprNodeColumnDesc(Boolean.class, "col2", "table", false);

    GenericUDFOPAnd andUdf = new GenericUDFOPAnd();
    ExprNodeGenericFuncDesc andExprDesc = new ExprNodeGenericFuncDesc();
    andExprDesc.setTypeInfo(TypeInfoFactory.booleanTypeInfo);
    andExprDesc.setGenericUDF(andUdf);
    List<ExprNodeDesc> children3 = new ArrayList<ExprNodeDesc>(2);
    children3.add(greaterExprDesc);
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    // And UDF
    List<ExprNodeDesc> bothFilters = Lists.newArrayList();
    bothFilters.add(node);
    bothFilters.add(node2);
    ExprNodeGenericFuncDesc both = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo,
        new GenericUDFOPAnd(), bothFilters);

    // Should generate [f,m]
    List<Range> expectedRanges = Arrays
        .asList(new Range(new Key("f"), true, new Key("m\0"), false));
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    // And UDF, (rowId >= 'h' and (rowId <= 'd' or rowId >= 'q'))
    List<ExprNodeDesc> andFilters = Lists.newArrayList();
    andFilters.add(node);
    andFilters.add(orNode);
    ExprNodeGenericFuncDesc both = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo,
        new GenericUDFOPAnd(), andFilters);

    // Should generate ['q', +inf)
    List<Range> expectedRanges = Arrays.asList(new Range(new Key("q"), true, null, false));

    AccumuloRangeGenerator rangeGenerator = new AccumuloRangeGenerator(handler, rowIdMapping, "rid");
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    // And UDF
    List<ExprNodeDesc> bothFilters = Lists.newArrayList();
    bothFilters.add(node);
    bothFilters.add(node2);
    ExprNodeGenericFuncDesc both = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo,
        new GenericUDFOPAnd(), bothFilters);

    // Should generate [f,+inf)
    List<Range> expectedRanges = Arrays.asList(new Range(new Key("f"), true, null, false));

    AccumuloRangeGenerator rangeGenerator = new AccumuloRangeGenerator(handler, rowIdMapping, "rid");
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    // And UDF
    List<ExprNodeDesc> bothFilters = Lists.newArrayList();
    bothFilters.add(node);
    bothFilters.add(node2);
    ExprNodeGenericFuncDesc both = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo,
        new GenericUDFOPAnd(), bothFilters);

    // Should generate [2014-01-01, 2014-07-01)
    List<Range> expectedRanges = Arrays.asList(new Range(new Key("2014-01-01"), true, new Key(
        "2014-07-01"), false));
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    // And UDF
    List<ExprNodeDesc> bothFilters = Lists.newArrayList();
    bothFilters.add(node);
    bothFilters.add(node2);
    ExprNodeGenericFuncDesc both = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo,
        new GenericUDFOPAnd(), bothFilters);

    AccumuloRangeGenerator rangeGenerator = new AccumuloRangeGenerator(handler, rowIdMapping, "rid");
    Dispatcher disp = new DefaultRuleDispatcher(rangeGenerator,
        Collections.<Rule,NodeProcessor> emptyMap(), null);
    GraphWalker ogw = new DefaultGraphWalker(disp);
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    List<ExprNodeDesc> bothFilters = Lists.newArrayList();
    bothFilters.add(node);
    bothFilters.add(node2);
    ExprNodeGenericFuncDesc both = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo,
        new GenericUDFOPAnd(), bothFilters);

    String filterExpr = Utilities.serializeExpression(both);
    conf.set(TableScanDesc.FILTER_EXPR_CONF_STR, filterExpr);

    Collection<Range> ranges = handler.getRanges(conf, columnMapper);
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Related Classes of org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd

  • org.apache.hadoop.hive.accumulo.predicate.TestAccumuloPredicateHandler
  • org.apache.hadoop.hive.accumulo.predicate.TestAccumuloRangeGenerator
  • org.apache.hadoop.hive.ql.exec.vector.TestVectorizationContext
  • org.apache.hadoop.hive.ql.io.orc.TestOrcSplitElimination
  • org.apache.hadoop.hive.ql.optimizer.SkewJoinOptimizer$SkewJoinProc
  • org.apache.hadoop.hive.ql.exec.UDFArgumentLengthException
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