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

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

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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);

    List<Range> ranges = handler.getRanges(conf, columnMapper);
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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);
    try {
      List<IteratorSetting> iterators = handler.getIterators(conf, columnMapper);
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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);
    conf.setBoolean(AccumuloSerDeParameters.ITERATOR_PUSHDOWN_KEY, false);
    try {
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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);
    List<IteratorSetting> iterators = handler.getIterators(conf, columnMapper);
    assertEquals(iterators.size(), 2);
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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);

    // Should make ['f', 'm\0')
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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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    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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                // 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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                // 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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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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