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

Example 26 with VectorizedRowBatch

use of org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch 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 27 with VectorizedRowBatch

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

the class TestVectorUDFAdaptor method testMultiArgumentUDF.

@Test
public void testMultiArgumentUDF() {
    // create a syntax tree for a function call "testudf(col0, col1, col2)"
    ExprNodeGenericFuncDesc funcDesc;
    TypeInfo typeInfoStr = TypeInfoFactory.stringTypeInfo;
    TypeInfo typeInfoLong = TypeInfoFactory.longTypeInfo;
    TypeInfo typeInfoDbl = TypeInfoFactory.doubleTypeInfo;
    GenericUDFBridge genericUDFBridge = new GenericUDFBridge("testudf", false, ConcatTextLongDoubleUDF.class.getName());
    List<ExprNodeDesc> children = new ArrayList<ExprNodeDesc>();
    children.add(new ExprNodeColumnDesc(typeInfoStr, "col0", "tablename", false));
    children.add(new ExprNodeColumnDesc(typeInfoLong, "col1", "tablename", false));
    children.add(new ExprNodeColumnDesc(typeInfoDbl, "col2", "tablename", false));
    VectorUDFArgDesc[] argDescs = new VectorUDFArgDesc[3];
    for (int i = 0; i < 3; i++) {
        argDescs[i] = new VectorUDFArgDesc();
        argDescs[i].setVariable(i);
    }
    funcDesc = new ExprNodeGenericFuncDesc(typeInfoStr, genericUDFBridge, genericUDFBridge.getUdfName(), children);
    // create the adaptor for this function call to work in vector mode
    VectorUDFAdaptor vudf = null;
    try {
        vudf = new VectorUDFAdaptor(funcDesc, 3, "String", argDescs);
    } catch (HiveException e) {
        // We should never get here.
        assertTrue(false);
        throw new RuntimeException(e);
    }
    // with no nulls
    VectorizedRowBatch b = getBatchStrDblLongWithStrOut();
    vudf.evaluate(b);
    byte[] result = null;
    byte[] result2 = null;
    try {
        result = "red:1:1.0".getBytes("UTF-8");
        result2 = "blue:0:0.0".getBytes("UTF-8");
    } catch (Exception e) {
        ;
    }
    BytesColumnVector out = (BytesColumnVector) b.cols[3];
    int cmp = StringExpr.compare(result, 0, result.length, out.vector[1], out.start[1], out.length[1]);
    assertEquals(0, cmp);
    assertTrue(out.noNulls);
    // with nulls
    b = getBatchStrDblLongWithStrOut();
    b.cols[1].noNulls = false;
    vudf.evaluate(b);
    out = (BytesColumnVector) b.cols[3];
    assertFalse(out.noNulls);
    assertTrue(out.isNull[1]);
    // with all input columns repeating
    b = getBatchStrDblLongWithStrOut();
    b.cols[0].isRepeating = true;
    b.cols[1].isRepeating = true;
    b.cols[2].isRepeating = true;
    vudf.evaluate(b);
    out = (BytesColumnVector) b.cols[3];
    assertTrue(out.isRepeating);
    cmp = StringExpr.compare(result2, 0, result2.length, out.vector[0], out.start[0], out.length[0]);
    assertEquals(0, cmp);
    assertTrue(out.noNulls);
}

Example 28 with VectorizedRowBatch

use of org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch 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);
}

Example 29 with VectorizedRowBatch

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

the class TestVectorUDFAdaptor method getBatchLongInLongOut.

private VectorizedRowBatch getBatchLongInLongOut() {
    VectorizedRowBatch b = new VectorizedRowBatch(2);
    LongColumnVector in = new LongColumnVector();
    LongColumnVector out = new LongColumnVector();
    b.cols[0] = in;
    b.cols[1] = out;
    in.vector[0] = 0;
    in.vector[1] = 1;
    in.vector[2] = 2;
    in.isNull[2] = true;
    in.noNulls = true;
    b.size = 3;
    return b;
}

Example 30 with VectorizedRowBatch

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

the class TestVectorDateExpressions method getVectorizedRandomRowBatch.

private VectorizedRowBatch getVectorizedRandomRowBatch(int seed, int size) {
    VectorizedRowBatch batch = new VectorizedRowBatch(2, size);
    LongColumnVector lcv = new LongColumnVector(size);
    Random rand = new Random(seed);
    for (int i = 0; i < size; i++) {
        lcv.vector[i] = (rand.nextInt());
    }
    batch.cols[0] = lcv;
    batch.cols[1] = new LongColumnVector(size);
    batch.size = size;
    return batch;
}