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

Example 1 with TypeInfoFactory.floatTypeInfo

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

the class TestMapJoinOperator method doTestString1.

public boolean doTestString1(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;
    // One BINARY key column.
    bigTableTypeInfos = new TypeInfo[] { TypeInfoFactory.binaryTypeInfo };
    bigTableKeyColumnNums = new int[] { 0 };
    smallTableRetainKeyColumnNums = new int[] { 0 };
    smallTableValueTypeInfos = new TypeInfo[] { TypeInfoFactory.shortTypeInfo, TypeInfoFactory.floatTypeInfo, new DecimalTypeInfo(38, 18) };
    smallTableGenerationParameters = new SmallTableGenerationParameters();
    // ----------------------------------------------------------------------------------------------
    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, "testString1");
    return false;
}

Example 2 with TypeInfoFactory.floatTypeInfo

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

the class TestGenericUDFOPNegative method testFloat.

@Test
public void testFloat() throws HiveException {
    GenericUDFOPNegative udf = new GenericUDFOPNegative();
    FloatWritable input = new FloatWritable(323.4747f);
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.writableFloatObjectInspector };
    DeferredObject[] args = { new DeferredJavaObject(input) };
    PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
    Assert.assertEquals(TypeInfoFactory.floatTypeInfo, oi.getTypeInfo());
    FloatWritable res = (FloatWritable) udf.evaluate(args);
    Assert.assertEquals(-323.4747f, res.get(), EPSILON);
}

Example 3 with TypeInfoFactory.floatTypeInfo

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

the class TestGenericUDFOPPlus method testFloatPlusFloat.

@Test
public void testFloatPlusFloat() throws HiveException {
    GenericUDFOPPlus udf = new GenericUDFOPPlus();
    // Float
    FloatWritable f1 = new FloatWritable(4.5f);
    FloatWritable f2 = new FloatWritable(0.0f);
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.writableFloatObjectInspector, PrimitiveObjectInspectorFactory.writableFloatObjectInspector };
    DeferredObject[] args = { new DeferredJavaObject(f1), new DeferredJavaObject(f2) };
    PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
    Assert.assertEquals(oi.getTypeInfo(), TypeInfoFactory.floatTypeInfo);
    FloatWritable res = (FloatWritable) udf.evaluate(args);
    Assert.assertEquals(4.5, res.get(), EPSILON);
}

Example 4 with TypeInfoFactory.floatTypeInfo

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

the class TestGenericUDFOPMultiply method testFloatTimesFloat.

@Test
public void testFloatTimesFloat() throws HiveException {
    GenericUDFOPMultiply udf = new GenericUDFOPMultiply();
    FloatWritable f1 = new FloatWritable(4.5f);
    FloatWritable f2 = new FloatWritable(0.0f);
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.writableFloatObjectInspector, PrimitiveObjectInspectorFactory.writableFloatObjectInspector };
    DeferredObject[] args = { new DeferredJavaObject(f1), new DeferredJavaObject(f2) };
    PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
    Assert.assertEquals(oi.getTypeInfo(), TypeInfoFactory.floatTypeInfo);
    FloatWritable res = (FloatWritable) udf.evaluate(args);
    Assert.assertEquals(0.0, res.get(), EPSILON);
}

Example 5 with TypeInfoFactory.floatTypeInfo

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

the class TestGenericUDFOPPositive method testFloat.

@Test
public void testFloat() throws HiveException {
    GenericUDFOPPositive udf = new GenericUDFOPPositive();
    FloatWritable input = new FloatWritable(323.4747f);
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.writableFloatObjectInspector };
    DeferredObject[] args = { new DeferredJavaObject(input) };
    PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
    Assert.assertEquals(TypeInfoFactory.floatTypeInfo, oi.getTypeInfo());
    FloatWritable res = (FloatWritable) udf.evaluate(args);
    Assert.assertEquals(323.4747, res.get(), EPSILON);
}