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

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

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

org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPPlus
The reason that we list evaluate methods with all numeric types is for both better performance and type checking (so we know int + int is still an int instead of a double); otherwise a single method that takes (Number a, Number b) and use a.doubleValue() == b.doubleValue() is enough. The case of int + double will be handled by implicit type casting using UDFRegistry.implicitConvertable method.

    List<ExprNodeDesc> colList = new ArrayList<ExprNodeDesc>();
    ExprNodeColumnDesc colDesc1 = new ExprNodeColumnDesc(Long.class, "a", "table", false);
    ExprNodeColumnDesc colDesc2 = new ExprNodeColumnDesc(Long.class, "b", "table", false);
    ExprNodeColumnDesc colDesc3 = new ExprNodeColumnDesc(Long.class, "c", "table", false);
    ExprNodeGenericFuncDesc plusDesc = new ExprNodeGenericFuncDesc();
    GenericUDF gudf = new GenericUDFOPPlus();


    plusDesc.setGenericUDF(gudf);
    List<ExprNodeDesc> children = new  ArrayList<ExprNodeDesc>();
    children.add(colDesc1);
    children.add(colDesc2);

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  public void testArithmeticExpressionVectorization() throws HiveException {
    /**
     * Create original expression tree for following
     * (plus (minus (plus col1 col2) col3) (multiply col4 (mod col5 col6)) )
     */
    GenericUDFOPPlus udf1 = new GenericUDFOPPlus();
    GenericUDFOPMinus udf2 = new GenericUDFOPMinus();
    GenericUDFOPMultiply udf3 = new GenericUDFOPMultiply();
    GenericUDFOPPlus udf4 = new GenericUDFOPPlus();
    GenericUDFOPMod udf5 = new GenericUDFOPMod();


    ExprNodeGenericFuncDesc sumExpr = new ExprNodeGenericFuncDesc();
    sumExpr.setTypeInfo(TypeInfoFactory.intTypeInfo);
    sumExpr.setGenericUDF(udf1);

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  @Test
  public void testFloatInExpressions() throws HiveException {
    ExprNodeColumnDesc col1Expr = new ExprNodeColumnDesc(Float.class, "col1", "table", false);
    ExprNodeConstantDesc constDesc = new ExprNodeConstantDesc(new Integer(10));


    GenericUDFOPPlus udf = new GenericUDFOPPlus();


    List<ExprNodeDesc> children1 = new ArrayList<ExprNodeDesc>(2);
    children1.add(col1Expr);
    children1.add(constDesc);
    ExprNodeGenericFuncDesc exprDesc = new ExprNodeGenericFuncDesc(TypeInfoFactory.doubleTypeInfo, udf,

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    // 40 and 50
    ExprNodeDesc fourty = new ExprNodeConstantDesc(TypeInfoFactory.intTypeInfo,
        40), fifty = new ExprNodeConstantDesc(TypeInfoFactory.intTypeInfo, 50);


    // +
    GenericUDFOPPlus plus = new GenericUDFOPPlus();


    // 40 + 50
    ExprNodeGenericFuncDesc addition = new ExprNodeGenericFuncDesc(TypeInfoFactory.intTypeInfo, plus, Arrays.asList(fourty, fifty));


    // cast(.... as string)

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    List<ExprNodeDesc> colList = new ArrayList<ExprNodeDesc>();
    ExprNodeColumnDesc colDesc1 = new ExprNodeColumnDesc(Long.class, "a", "table", false);
    ExprNodeColumnDesc colDesc2 = new ExprNodeColumnDesc(Long.class, "b", "table", false);
    ExprNodeColumnDesc colDesc3 = new ExprNodeColumnDesc(Long.class, "c", "table", false);
    ExprNodeGenericFuncDesc plusDesc = new ExprNodeGenericFuncDesc();
    GenericUDF gudf = new GenericUDFOPPlus();


    plusDesc.setGenericUDF(gudf);
    List<ExprNodeDesc> children = new  ArrayList<ExprNodeDesc>();
    children.add(colDesc1);
    children.add(colDesc2);

View Full Code Here

  public void testArithmeticExpressionVectorization() throws HiveException {
    /**
     * Create original expression tree for following
     * (plus (minus (plus col1 col2) col3) (multiply col4 (mod col5 col6)) )
     */
    GenericUDFOPPlus udf1 = new GenericUDFOPPlus();
    GenericUDFOPMinus udf2 = new GenericUDFOPMinus();
    GenericUDFOPMultiply udf3 = new GenericUDFOPMultiply();
    GenericUDFOPPlus udf4 = new GenericUDFOPPlus();
    GenericUDFOPMod udf5 = new GenericUDFOPMod();


    ExprNodeGenericFuncDesc sumExpr = new ExprNodeGenericFuncDesc();
    sumExpr.setTypeInfo(TypeInfoFactory.intTypeInfo);
    sumExpr.setGenericUDF(udf1);

View Full Code Here

  @Test
  public void testFloatInExpressions() throws HiveException {
    ExprNodeColumnDesc col1Expr = new ExprNodeColumnDesc(Float.class, "col1", "table", false);
    ExprNodeConstantDesc constDesc = new ExprNodeConstantDesc(new Integer(10));


    GenericUDFOPPlus udf = new GenericUDFOPPlus();


    List<ExprNodeDesc> children1 = new ArrayList<ExprNodeDesc>(2);
    children1.add(col1Expr);
    children1.add(constDesc);
    ExprNodeGenericFuncDesc exprDesc = new ExprNodeGenericFuncDesc(TypeInfoFactory.doubleTypeInfo, udf,

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org.apache.hadoop.hive.common.type.HiveDecimal

org.apache.hadoop.hive.ql.exec.vector.TestVectorizationContext

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