Examples with LongColumnVector org.apache.hadoop.hive.ql.exec.vector.LongColumnVector used on opensource projects

Example 11 with LongColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.LongColumnVector in project hive by apache.

the class TestVectorArithmeticExpressions method getVectorizedRowBatchSingleLongVector.

private VectorizedRowBatch getVectorizedRowBatchSingleLongVector(int size) {
    VectorizedRowBatch vrg = new VectorizedRowBatch(2, size);
    LongColumnVector lcv = new LongColumnVector(size);
    for (int i = 0; i < size; i++) {
        lcv.vector[i] = i * 37;
    }
    vrg.cols[0] = lcv;
    vrg.cols[1] = new LongColumnVector(size);
    vrg.size = size;
    return vrg;
}

Example 12 with LongColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.LongColumnVector in project hive by apache.

the class FakeVectorRowBatchFromRepeats method produceNextBatch.

@Override
public VectorizedRowBatch produceNextBatch() {
    vrg.size = 0;
    vrg.selectedInUse = false;
    if (count > 0) {
        vrg.size = batchSize < count ? batchSize : count;
        count -= vrg.size;
        for (int i = 0; i < numCols; ++i) {
            LongColumnVector col = (LongColumnVector) vrg.cols[i];
            col.isRepeating = true;
            Long value = values[i];
            if (value == null) {
                col.isNull[0] = true;
                col.noNulls = false;
            } else {
                col.noNulls = true;
                col.vector[0] = value;
            }
        }
    }
    return vrg;
}

Example 13 with LongColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.LongColumnVector in project hive by apache.

the class VectorizedRowGroupGenUtil method generateLongColumnVector.

public static LongColumnVector generateLongColumnVector(boolean nulls, boolean repeating, int size, Random rand) {
    LongColumnVector lcv = new LongColumnVector(size);
    lcv.noNulls = !nulls;
    lcv.isRepeating = repeating;
    long repeatingValue;
    do {
        repeatingValue = rand.nextLong();
    } while (repeatingValue == 0);
    int nullFrequency = generateNullFrequency(rand);
    for (int i = 0; i < size; i++) {
        if (nulls && (repeating || i % nullFrequency == 0)) {
            lcv.isNull[i] = true;
            lcv.vector[i] = LONG_VECTOR_NULL_VALUE;
        } else {
            lcv.isNull[i] = false;
            lcv.vector[i] = repeating ? repeatingValue : rand.nextLong();
            if (lcv.vector[i] == 0) {
                i--;
            }
        }
    }
    return lcv;
}

Example 14 with LongColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.LongColumnVector in project hive by apache.

the class TestVectorUDFAdaptor method getBatchStrDblLongWithStrOut.

private VectorizedRowBatch getBatchStrDblLongWithStrOut() {
    VectorizedRowBatch b = new VectorizedRowBatch(4);
    BytesColumnVector strCol = new BytesColumnVector();
    LongColumnVector longCol = new LongColumnVector();
    DoubleColumnVector dblCol = new DoubleColumnVector();
    BytesColumnVector outCol = new BytesColumnVector();
    b.cols[0] = strCol;
    b.cols[1] = longCol;
    b.cols[2] = dblCol;
    b.cols[3] = outCol;
    strCol.initBuffer();
    strCol.setVal(0, blue, 0, blue.length);
    strCol.setVal(1, red, 0, red.length);
    longCol.vector[0] = 0;
    longCol.vector[1] = 1;
    dblCol.vector[0] = 0.0;
    dblCol.vector[1] = 1.0;
    // set one null value for possible later use
    longCol.isNull[1] = true;
    // but have no nulls initially
    longCol.noNulls = true;
    strCol.noNulls = true;
    dblCol.noNulls = true;
    outCol.initBuffer();
    b.size = 2;
    return b;
}

Example 15 with LongColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.LongColumnVector in project hive by apache.

the class TestVectorUDFAdaptor method testLongUDF.

@Test
public void testLongUDF() {
    // create a syntax tree for a simple function call "longudf(col0)"
    ExprNodeGenericFuncDesc funcDesc;
    TypeInfo typeInfo = TypeInfoFactory.longTypeInfo;
    GenericUDFBridge genericUDFBridge = new GenericUDFBridge("longudf", false, LongUDF.class.getName());
    List<ExprNodeDesc> children = new ArrayList<ExprNodeDesc>();
    ExprNodeColumnDesc colDesc = new ExprNodeColumnDesc(typeInfo, "col0", "tablename", false);
    children.add(colDesc);
    VectorUDFArgDesc[] argDescs = new VectorUDFArgDesc[1];
    argDescs[0] = new VectorUDFArgDesc();
    argDescs[0].setVariable(0);
    funcDesc = new ExprNodeGenericFuncDesc(typeInfo, genericUDFBridge, genericUDFBridge.getUdfName(), children);
    // create the adaptor for this function call to work in vector mode
    VectorUDFAdaptor vudf = null;
    try {
        vudf = new VectorUDFAdaptor(funcDesc, 1, "Long", argDescs);
    } catch (HiveException e) {
        // We should never get here.
        assertTrue(false);
    }
    VectorizedRowBatch b = getBatchLongInLongOut();
    vudf.evaluate(b);
    // verify output
    LongColumnVector out = (LongColumnVector) b.cols[1];
    assertEquals(1000, out.vector[0]);
    assertEquals(1001, out.vector[1]);
    assertEquals(1002, out.vector[2]);
    assertTrue(out.noNulls);
    assertFalse(out.isRepeating);
    // with nulls
    b = getBatchLongInLongOut();
    out = (LongColumnVector) b.cols[1];
    b.cols[0].noNulls = false;
    vudf.evaluate(b);
    assertFalse(out.noNulls);
    assertEquals(1000, out.vector[0]);
    assertEquals(1001, out.vector[1]);
    assertTrue(out.isNull[2]);
    assertFalse(out.isRepeating);
    // with repeating
    b = getBatchLongInLongOut();
    out = (LongColumnVector) b.cols[1];
    b.cols[0].isRepeating = true;
    vudf.evaluate(b);
    // The implementation may or may not set output it isRepeting.
    // That is implementation-defined.
    assertTrue(b.cols[1].isRepeating && out.vector[0] == 1000 || !b.cols[1].isRepeating && out.vector[2] == 1000);
    assertEquals(3, b.size);
}