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

Example 71 with TypeInfo

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

the class TestStreamingAvg method avgHiveDecimal.

public void avgHiveDecimal(Iterator<HiveDecimal> inVals, int inSz, int numPreceding, int numFollowing, Iterator<HiveDecimal> outVals) throws HiveException {
    GenericUDAFAverage fnR = new GenericUDAFAverage();
    TypeInfo[] inputTypes = { TypeInfoFactory.decimalTypeInfo };
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.writableHiveDecimalObjectInspector };
    HiveDecimalWritable[] in = new HiveDecimalWritable[1];
    in[0] = new HiveDecimalWritable();
    TestStreamingSum._agg(fnR, inputTypes, inVals, TypeHandler.HiveDecimalHandler, in, inputOIs, inSz, numPreceding, numFollowing, outVals);
}

Example 72 with TypeInfo

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

the class TestStreamingAvg method avgDouble.

public void avgDouble(Iterator<Double> inVals, int inSz, int numPreceding, int numFollowing, Iterator<Double> outVals) throws HiveException {
    GenericUDAFAverage fnR = new GenericUDAFAverage();
    TypeInfo[] inputTypes = { TypeInfoFactory.doubleTypeInfo };
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.writableDoubleObjectInspector };
    DoubleWritable[] in = new DoubleWritable[1];
    in[0] = new DoubleWritable();
    TestStreamingSum._agg(fnR, inputTypes, inVals, TypeHandler.DoubleHandler, in, inputOIs, inSz, numPreceding, numFollowing, outVals);
}

Example 73 with TypeInfo

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

the class TestGenericUDAFCorrelation method testCorr.

public void testCorr() throws HiveException {
    GenericUDAFCorrelation corr = new GenericUDAFCorrelation();
    GenericUDAFEvaluator eval1 = corr.getEvaluator(new TypeInfo[] { TypeInfoFactory.doubleTypeInfo, TypeInfoFactory.doubleTypeInfo });
    GenericUDAFEvaluator eval2 = corr.getEvaluator(new TypeInfo[] { TypeInfoFactory.doubleTypeInfo, TypeInfoFactory.doubleTypeInfo });
    ObjectInspector poi1 = eval1.init(GenericUDAFEvaluator.Mode.PARTIAL1, new ObjectInspector[] { PrimitiveObjectInspectorFactory.javaDoubleObjectInspector, PrimitiveObjectInspectorFactory.javaDoubleObjectInspector });
    ObjectInspector poi2 = eval2.init(GenericUDAFEvaluator.Mode.PARTIAL1, new ObjectInspector[] { PrimitiveObjectInspectorFactory.javaDoubleObjectInspector, PrimitiveObjectInspectorFactory.javaDoubleObjectInspector });
    GenericUDAFEvaluator.AggregationBuffer buffer1 = eval1.getNewAggregationBuffer();
    eval1.iterate(buffer1, new Object[] { 100d, 200d });
    eval1.iterate(buffer1, new Object[] { 150d, 210d });
    eval1.iterate(buffer1, new Object[] { 200d, 220d });
    Object object1 = eval1.terminatePartial(buffer1);
    GenericUDAFEvaluator.AggregationBuffer buffer2 = eval2.getNewAggregationBuffer();
    eval2.iterate(buffer2, new Object[] { 250d, 230d });
    eval2.iterate(buffer2, new Object[] { 250d, 240d });
    eval2.iterate(buffer2, new Object[] { 300d, 250d });
    eval2.iterate(buffer2, new Object[] { 350d, 260d });
    Object object2 = eval2.terminatePartial(buffer2);
    ObjectInspector coi = eval2.init(GenericUDAFEvaluator.Mode.FINAL, new ObjectInspector[] { poi1 });
    GenericUDAFEvaluator.AggregationBuffer buffer3 = eval2.getNewAggregationBuffer();
    eval2.merge(buffer3, object1);
    eval2.merge(buffer3, object2);
    Object result = eval2.terminate(buffer3);
    assertEquals("0.987829161147262", String.valueOf(result));
}

Example 74 with TypeInfo

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

the class TestStreamingMin method minLong.

public void minLong(Iterator<Long> inVals, int inSz, int numPreceding, int numFollowing, Iterator<Long> outVals) throws HiveException {
    GenericUDAFMin fnR = new GenericUDAFMin();
    TypeInfo[] inputTypes = { TypeInfoFactory.longTypeInfo };
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.writableLongObjectInspector };
    LongWritable[] in = new LongWritable[1];
    in[0] = new LongWritable();
    TestStreamingSum._agg(fnR, inputTypes, inVals, TypeHandler.LongHandler, in, inputOIs, inSz, numPreceding, numFollowing, outVals);
}

Example 75 with TypeInfo

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

the class TestStreamingSum method sumLong.

public void sumLong(Iterator<Long> inVals, int inSz, int numPreceding, int numFollowing, Iterator<Long> outVals) throws HiveException {
    GenericUDAFSum fnR = new GenericUDAFSum();
    TypeInfo[] inputTypes = { TypeInfoFactory.longTypeInfo };
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.writableLongObjectInspector };
    LongWritable[] in = new LongWritable[1];
    in[0] = new LongWritable();
    _agg(fnR, inputTypes, inVals, TypeHandler.LongHandler, in, inputOIs, inSz, numPreceding, numFollowing, outVals);
}