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

Example 41 with TypeInfoFactory.stringTypeInfo

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

the class TestVectorGenericDateExpressions method testDateAddScalarCol.

@Test
public void testDateAddScalarCol() throws HiveException {
    for (PrimitiveCategory scalarType1 : dateTimestampStringTypes) testDateAddScalarCol(scalarType1, true);
    VectorExpression udf = new VectorUDFDateAddScalarCol("error".getBytes(utf8), 0, 1);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.stringTypeInfo, TypeInfoFactory.timestampTypeInfo });
    udf.transientInit(hiveConf);
    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 42 with TypeInfoFactory.stringTypeInfo

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

the class TestVectorGenericDateExpressions method testDateDiffScalarCol.

@Test
public void testDateDiffScalarCol() throws HiveException {
    for (PrimitiveCategory scalarType1 : dateTimestampStringTypes) {
        for (PrimitiveCategory colType2 : dateTimestampStringTypes) {
            LongColumnVector date2 = newRandomLongColumnVector(10000, size);
            LongColumnVector output = new LongColumnVector(size);
            ColumnVector col2 = castTo(date2, colType2);
            VectorizedRowBatch batch = new VectorizedRowBatch(2, size);
            batch.cols[0] = col2;
            batch.cols[1] = output;
            long scalar1 = newRandom(1000);
            validateDateDiff(batch, scalar1, scalarType1, colType2, date2);
            TestVectorizedRowBatch.addRandomNulls(date2);
            batch.cols[0] = castTo(date2, colType2);
            validateDateDiff(batch, scalar1, scalarType1, colType2, date2);
        }
    }
    VectorExpression udf;
    byte[] bytes = "error".getBytes(utf8);
    VectorizedRowBatch batch = new VectorizedRowBatch(2, 1);
    udf = new VectorUDFDateDiffScalarCol(new Timestamp(0), 0, 1);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.timestampTypeInfo, TypeInfoFactory.stringTypeInfo });
    udf.transientInit(hiveConf);
    batch.cols[0] = new BytesColumnVector(1);
    batch.cols[1] = new LongColumnVector(1);
    BytesColumnVector 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[1].isNull[0], true);
    udf = new VectorUDFDateDiffScalarCol(bytes, 0, 1);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.stringTypeInfo, TypeInfoFactory.timestampTypeInfo });
    udf.transientInit(hiveConf);
    batch.cols[0] = new LongColumnVector(1);
    batch.cols[1] = new LongColumnVector(1);
    udf.evaluate(batch);
    Assert.assertEquals(batch.cols[1].isNull[0], true);
}

Example 43 with TypeInfoFactory.stringTypeInfo

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

the class TestVectorGenericDateExpressions method testDateDiffColScalar.

@Test
public void testDateDiffColScalar() throws HiveException {
    for (PrimitiveCategory colType1 : dateTimestampStringTypes) {
        for (PrimitiveCategory scalarType2 : dateTimestampStringTypes) {
            LongColumnVector date1 = newRandomLongColumnVector(10000, size);
            LongColumnVector output = new LongColumnVector(size);
            VectorizedRowBatch batch = new VectorizedRowBatch(2, size);
            batch.cols[0] = castTo(date1, colType1);
            batch.cols[1] = output;
            long scalar2 = newRandom(1000);
            validateDateDiff(batch, date1, scalar2, colType1, scalarType2);
            TestVectorizedRowBatch.addRandomNulls(date1);
            batch.cols[0] = castTo(date1, colType1);
            validateDateDiff(batch, date1, scalar2, colType1, scalarType2);
        }
    }
    VectorExpression udf;
    byte[] bytes = "error".getBytes(utf8);
    VectorizedRowBatch batch = new VectorizedRowBatch(2, 1);
    udf = new VectorUDFDateDiffColScalar(0, 0L, 1);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.timestampTypeInfo, TypeInfoFactory.stringTypeInfo });
    batch.cols[0] = new BytesColumnVector(1);
    batch.cols[1] = new LongColumnVector(1);
    BytesColumnVector 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[1].isNull[0], true);
    udf = new VectorUDFDateDiffColScalar(0, bytes, 1);
    udf.setInputTypeInfos(new TypeInfo[] { TypeInfoFactory.timestampTypeInfo, TypeInfoFactory.stringTypeInfo });
    udf.transientInit(hiveConf);
    batch.cols[0] = new LongColumnVector(1);
    batch.cols[1] = new LongColumnVector(1);
    udf.evaluate(batch);
    Assert.assertEquals(batch.cols[1].isNull[0], true);
}

Example 44 with TypeInfoFactory.stringTypeInfo

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

the class TestKeyWrapperFactory method setup.

@Before
public void setup() throws Exception {
    SessionState ss = new SessionState(new HiveConf());
    SessionState.setCurrentSessionState(ss);
    ArrayList<Text> col1 = new ArrayList<Text>();
    col1.add(new Text("0"));
    col1.add(new Text("1"));
    col1.add(new Text("2"));
    col1.add(new Text("3"));
    TypeInfo col1Type = TypeInfoFactory.getListTypeInfo(TypeInfoFactory.stringTypeInfo);
    ArrayList<Text> cola = new ArrayList<Text>();
    cola.add(new Text("a"));
    cola.add(new Text("b"));
    cola.add(new Text("c"));
    TypeInfo colaType = TypeInfoFactory.getListTypeInfo(TypeInfoFactory.stringTypeInfo);
    try {
        ArrayList<Object> data = new ArrayList<Object>();
        data.add(col1);
        data.add(cola);
        ArrayList<String> names = new ArrayList<String>();
        names.add("col1");
        names.add("cola");
        ArrayList<TypeInfo> typeInfos = new ArrayList<TypeInfo>();
        typeInfos.add(col1Type);
        typeInfos.add(colaType);
        TypeInfo dataType = TypeInfoFactory.getStructTypeInfo(names, typeInfos);
        InspectableObject r = new InspectableObject();
        ObjectInspector[] oi = new ObjectInspector[1];
        r.o = data;
        oi[0] = TypeInfoUtils.getStandardWritableObjectInspectorFromTypeInfo(dataType);
        try {
            // get a evaluator for a simple field expression
            ExprNodeDesc exprDesc = new ExprNodeColumnDesc(colaType, "cola", "", false);
            ExprNodeEvaluator eval = ExprNodeEvaluatorFactory.get(exprDesc);
            ExprNodeEvaluator[] evals = new ExprNodeEvaluator[1];
            evals[0] = eval;
            ObjectInspector resultOI = eval.initialize(oi[0]);
            ObjectInspector[] resultOIs = new ObjectInspector[1];
            resultOIs[0] = resultOI;
            factory = new KeyWrapperFactory(evals, oi, resultOIs);
        } catch (Throwable e) {
            e.printStackTrace();
            throw e;
        }
    } catch (Throwable e) {
        e.printStackTrace();
        throw new RuntimeException(e);
    }
}

Example 45 with TypeInfoFactory.stringTypeInfo

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

the class TestMapJoinOperator method doTestMultiKey1.

public boolean doTestMultiKey1(long seed, int hiveConfVariation, VectorMapJoinVariation vectorMapJoinVariation, MapJoinPlanVariation mapJoinPlanVariation) throws Exception {
    int rowCount = 10;
    HiveConf hiveConf = new HiveConf();
    if (!addNonLongHiveConfVariation(hiveConfVariation, hiveConf)) {
        return true;
    }
    TypeInfo[] bigTableTypeInfos = null;
    int[] bigTableKeyColumnNums = null;
    TypeInfo[] smallTableValueTypeInfos = null;
    int[] smallTableRetainKeyColumnNums = null;
    SmallTableGenerationParameters smallTableGenerationParameters = new SmallTableGenerationParameters();
    MapJoinTestDescription testDesc = null;
    MapJoinTestData testData = null;
    // Three key columns.
    bigTableTypeInfos = new TypeInfo[] { TypeInfoFactory.timestampTypeInfo, TypeInfoFactory.shortTypeInfo, TypeInfoFactory.stringTypeInfo };
    bigTableKeyColumnNums = new int[] { 0, 1, 2 };
    smallTableRetainKeyColumnNums = new int[] { 0, 1, 2 };
    smallTableValueTypeInfos = new TypeInfo[] { new DecimalTypeInfo(38, 18) };
    // ----------------------------------------------------------------------------------------------
    testDesc = new MapJoinTestDescription(hiveConf, vectorMapJoinVariation, bigTableTypeInfos, bigTableKeyColumnNums, smallTableValueTypeInfos, smallTableRetainKeyColumnNums, smallTableGenerationParameters, mapJoinPlanVariation);
    if (!goodTestVariation(testDesc)) {
        return false;
    }
    // Prepare data.  Good for ANY implementation variation.
    testData = new MapJoinTestData(rowCount, testDesc, seed);
    executeTest(testDesc, testData, "testMultiKey1");
    return false;
}