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

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

Note: rounding function permits rounding off integer digits in decimal numbers, which essentially downgrades the scale to negative territory. However, Hive decimal only allow non-negative scales. This can cause confusion, for example, when a decimal number 1234.567 of type decimal(7,3) is rounded with -2 scale, which produces a decimal number, 1200. The type of the output is decimal(5,0), which does not exactly represents what the number means. Thus, user should be aware of this, and use negative rounding for decimal with caution. However, Hive is in line with the behavior that MYSQL demonstrates. At a certain point, we should probably support negative scale for decimal type. GenericUDFRound.

    mathFuncExpr.setChildren(children2);
    VectorExpression ve = vc.getVectorExpression(mathFuncExpr, VectorExpressionDescriptor.Mode.PROJECTION);
    Assert.assertEquals(FuncSinDoubleToDouble.class, ve.getClass());


    // Round without digits
    GenericUDFRound udfRound = new GenericUDFRound();
    mathFuncExpr.setGenericUDF(udfRound);
    mathFuncExpr.setChildren(children2);
    ve = vc.getVectorExpression(mathFuncExpr);
    Assert.assertEquals(FuncRoundDoubleToDouble.class, ve.getClass());

    mathFuncExpr.setChildren(children2);
    VectorExpression ve = vc.getVectorExpression(mathFuncExpr, VectorExpressionDescriptor.Mode.PROJECTION);
    Assert.assertEquals(FuncSinDoubleToDouble.class, ve.getClass());


    // Round without digits
    GenericUDFRound udfRound = new GenericUDFRound();
    mathFuncExpr.setGenericUDF(udfRound);
    mathFuncExpr.setChildren(children2);
    ve = vc.getVectorExpression(mathFuncExpr);
    Assert.assertEquals(FuncRoundDoubleToDouble.class, ve.getClass());

Related Classes of org.apache.hadoop.hive.ql.udf.generic.GenericUDFRound

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