use of org.apache.hadoop.hive.ql.exec.vector.udf.generic.GenericUDFIsNull in project hive by apache.
the class TestVectorUDFAdaptor method testGenericUDF.
// test the UDF adaptor for a generic UDF (as opposed to a legacy UDF)
@Test
public void testGenericUDF() {
// create a syntax tree for a function call 'myisnull(col0, "UNKNOWN")'
ExprNodeGenericFuncDesc funcDesc;
GenericUDF genericUDF = new GenericUDFIsNull();
TypeInfo typeInfoStr = TypeInfoFactory.stringTypeInfo;
List<ExprNodeDesc> children = new ArrayList<ExprNodeDesc>();
children.add(new ExprNodeColumnDesc(typeInfoStr, "col0", "tablename", false));
children.add(new ExprNodeConstantDesc(typeInfoStr, "UNKNOWN"));
VectorUDFArgDesc[] argDescs = new VectorUDFArgDesc[2];
for (int i = 0; i < 2; i++) {
argDescs[i] = new VectorUDFArgDesc();
}
argDescs[0].setVariable(0);
argDescs[1].setConstant((ExprNodeConstantDesc) children.get(1));
funcDesc = new ExprNodeGenericFuncDesc(typeInfoStr, genericUDF, "myisnull", children);
// create the adaptor for this function call to work in vector mode
VectorUDFAdaptor vudf = null;
try {
vudf = new VectorUDFAdaptor(funcDesc, 3, "String", argDescs);
} catch (HiveException e) {
// We should never get here.
assertTrue(false);
}
VectorizedRowBatch b;
byte[] red = null;
byte[] unknown = null;
try {
red = "red".getBytes("UTF-8");
unknown = "UNKNOWN".getBytes("UTF-8");
} catch (Exception e) {
;
}
BytesColumnVector out;
// with nulls
b = getBatchStrDblLongWithStrOut();
b.cols[0].noNulls = false;
// set 1st entry to null
b.cols[0].isNull[0] = true;
vudf.evaluate(b);
out = (BytesColumnVector) b.cols[3];
// verify outputs
int cmp = StringExpr.compare(red, 0, red.length, out.vector[1], out.start[1], out.length[1]);
assertEquals(0, cmp);
cmp = StringExpr.compare(unknown, 0, unknown.length, out.vector[0], out.start[0], out.length[0]);
assertEquals(0, cmp);
// output entry should not be null for null input for this particular generic UDF
assertTrue(out.noNulls || !out.isNull[0]);
}
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