Examples with TypeInfoFactory.timestampTypeInfo org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.timestampTypeInfo used on opensource projects

Example 26 with TypeInfoFactory.timestampTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.timestampTypeInfo in project hive by apache.

the class TestVectorGenericDateExpressions method testDateSubColScalar.

@Test
public void testDateSubColScalar() throws HiveException {
    for (PrimitiveCategory colType1 : dateTimestampStringTypes) testDateAddColScalar(colType1, false);
    VectorExpression udf = new VectorUDFDateSubColScalar(0, 0, 1);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.stringTypeInfo, TypeInfoFactory.timestampTypeInfo });
    udf.transientInit();
    VectorizedRowBatch batch = new VectorizedRowBatch(2, 1);
    batch.cols[0] = new BytesColumnVector(1);
    batch.cols[1] = new LongColumnVector(1);
    BytesColumnVector bcv = (BytesColumnVector) batch.cols[0];
    byte[] bytes = "error".getBytes(utf8);
    bcv.vector[0] = bytes;
    bcv.start[0] = 0;
    bcv.length[0] = bytes.length;
    udf.evaluate(batch);
    Assert.assertEquals(batch.cols[1].isNull[0], true);
}

Example 27 with TypeInfoFactory.timestampTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.timestampTypeInfo in project hive by apache.

the class TestVectorGenericDateExpressions method testDateSubScalarCol.

@Test
public void testDateSubScalarCol() throws HiveException {
    for (PrimitiveCategory scalarType1 : dateTimestampStringTypes) testDateAddScalarCol(scalarType1, false);
    VectorExpression udf = new VectorUDFDateSubScalarCol("error".getBytes(utf8), 0, 1);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.stringTypeInfo, TypeInfoFactory.timestampTypeInfo });
    udf.transientInit();
    VectorizedRowBatch batch = new VectorizedRowBatch(2, 1);
    batch.cols[0] = new LongColumnVector(1);
    batch.cols[1] = new LongColumnVector(1);
    udf.evaluate(batch);
    Assert.assertEquals(batch.cols[1].isNull[0], true);
}

Example 28 with TypeInfoFactory.timestampTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.timestampTypeInfo in project hive by apache.

the class TestVectorGenericDateExpressions method testDateSubColCol.

@Test
public void testDateSubColCol() throws HiveException {
    for (PrimitiveCategory colType1 : dateTimestampStringTypes) testDateAddColCol(colType1, false);
    VectorExpression udf = new VectorUDFDateSubColCol(0, 1, 2);
    VectorizedRowBatch batch = new VectorizedRowBatch(3, 1);
    BytesColumnVector bcv;
    byte[] bytes = "error".getBytes(utf8);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.stringTypeInfo, TypeInfoFactory.timestampTypeInfo });
    udf.transientInit();
    batch.cols[0] = new BytesColumnVector(1);
    batch.cols[1] = new LongColumnVector(1);
    batch.cols[2] = new LongColumnVector(1);
    bcv = (BytesColumnVector) batch.cols[0];
    bcv.vector[0] = bytes;
    bcv.start[0] = 0;
    bcv.length[0] = bytes.length;
    udf.evaluate(batch);
    Assert.assertEquals(batch.cols[2].isNull[0], true);
}

Example 29 with TypeInfoFactory.timestampTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.timestampTypeInfo in project hive by apache.

the class TestVectorGenericDateExpressions method testDateDiffColCol.

@Test
public void testDateDiffColCol() throws HiveException {
    for (PrimitiveCategory colType1 : dateTimestampStringTypes) {
        for (PrimitiveCategory colType2 : dateTimestampStringTypes) {
            LongColumnVector date1 = newRandomLongColumnVector(10000, size);
            LongColumnVector date2 = newRandomLongColumnVector(10000, size);
            LongColumnVector output = new LongColumnVector(size);
            VectorizedRowBatch batch = new VectorizedRowBatch(3, size);
            batch.cols[0] = castTo(date1, colType1);
            batch.cols[1] = castTo(date2, colType2);
            batch.cols[2] = output;
            validateDateDiff(batch, date1, date2, colType1, colType2);
            TestVectorizedRowBatch.addRandomNulls(date1);
            batch.cols[0] = castTo(date1, colType1);
            validateDateDiff(batch, date1, date2, colType1, colType2);
            TestVectorizedRowBatch.addRandomNulls(date2);
            batch.cols[1] = castTo(date2, colType2);
            validateDateDiff(batch, date1, date2, colType1, colType2);
        }
    }
    VectorExpression udf = new VectorUDFDateDiffColCol(0, 1, 2);
    VectorizedRowBatch batch = new VectorizedRowBatch(3, 1);
    BytesColumnVector bcv;
    byte[] bytes = "error".getBytes(utf8);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.stringTypeInfo, TypeInfoFactory.timestampTypeInfo });
    udf.transientInit();
    batch.cols[0] = new BytesColumnVector(1);
    batch.cols[1] = new TimestampColumnVector(1);
    batch.cols[2] = new LongColumnVector(1);
    bcv = (BytesColumnVector) batch.cols[0];
    bcv.vector[0] = bytes;
    bcv.start[0] = 0;
    bcv.length[0] = bytes.length;
    udf.evaluate(batch);
    Assert.assertEquals(batch.cols[2].isNull[0], true);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.timestampTypeInfo, TypeInfoFactory.stringTypeInfo });
    udf.transientInit();
    batch.cols[0] = new TimestampColumnVector(1);
    batch.cols[1] = new BytesColumnVector(1);
    batch.cols[2] = new LongColumnVector(1);
    bcv = (BytesColumnVector) batch.cols[1];
    bcv.vector[0] = bytes;
    bcv.start[0] = 0;
    bcv.length[0] = bytes.length;
    udf.evaluate(batch);
    Assert.assertEquals(batch.cols[2].isNull[0], true);
}

Example 30 with TypeInfoFactory.timestampTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.timestampTypeInfo in project hive by apache.

the class TestVectorGenericDateExpressions method testDateAddColCol.

@Test
public void testDateAddColCol() throws HiveException {
    for (PrimitiveCategory colType1 : dateTimestampStringTypes) testDateAddColCol(colType1, true);
    VectorExpression udf = new VectorUDFDateAddColCol(0, 1, 2);
    VectorizedRowBatch batch = new VectorizedRowBatch(3, 1);
    BytesColumnVector bcv;
    byte[] bytes = "error".getBytes(utf8);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.stringTypeInfo, TypeInfoFactory.timestampTypeInfo });
    udf.transientInit();
    batch.cols[0] = new BytesColumnVector(1);
    batch.cols[1] = new LongColumnVector(1);
    batch.cols[2] = new LongColumnVector(1);
    bcv = (BytesColumnVector) batch.cols[0];
    bcv.vector[0] = bytes;
    bcv.start[0] = 0;
    bcv.length[0] = bytes.length;
    udf.evaluate(batch);
    Assert.assertEquals(batch.cols[2].isNull[0], true);
}