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

Example 6 with ColumnVector

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

the class TestVectorLogicalExpressions method testFilterExprOrExprWithBatchReuse.

@Test
public void testFilterExprOrExprWithBatchReuse() {
    VectorizedRowBatch batch1 = getBatchThreeBooleanCols();
    SelectColumnIsTrue expr1 = new SelectColumnIsTrue(0);
    SelectColumnIsFalse expr2 = new SelectColumnIsFalse(1);
    FilterExprOrExpr orExpr = new FilterExprOrExpr();
    orExpr.setChildExpressions(new VectorExpression[] { expr1, expr2 });
    orExpr.evaluate(batch1);
    // Now re-initialize batch1 to simulate batch-object re-use.
    for (int i = 0; i < VectorizedRowBatch.DEFAULT_SIZE; i++) {
        batch1.selected[i] = 0;
    }
    batch1.size = BOOLEAN_COLUMN_TEST_SIZE;
    batch1.selectedInUse = false;
    // Swap column vectors to simulate change in data
    ColumnVector tmp = batch1.cols[0];
    batch1.cols[0] = batch1.cols[1];
    batch1.cols[1] = tmp;
    orExpr.evaluate(batch1);
    assertEquals(5, batch1.size);
    assertEquals(0, batch1.selected[0]);
    assertEquals(1, batch1.selected[1]);
    assertEquals(3, batch1.selected[2]);
    assertEquals(5, batch1.selected[3]);
    assertEquals(6, batch1.selected[4]);
}

Example 7 with ColumnVector

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

the class TestVectorizedORCReader method checkVectorizedReader.

private void checkVectorizedReader() throws Exception {
    Reader vreader = OrcFile.createReader(testFilePath, OrcFile.readerOptions(conf));
    Reader reader = OrcFile.createReader(testFilePath, OrcFile.readerOptions(conf));
    RecordReaderImpl vrr = (RecordReaderImpl) vreader.rows();
    RecordReaderImpl rr = (RecordReaderImpl) reader.rows();
    VectorizedRowBatch batch = reader.getSchema().createRowBatch();
    OrcStruct row = null;
    // Check Vectorized ORC reader against ORC row reader
    while (vrr.nextBatch(batch)) {
        for (int i = 0; i < batch.size; i++) {
            row = (OrcStruct) rr.next(row);
            for (int j = 0; j < batch.cols.length; j++) {
                Object a = (row.getFieldValue(j));
                ColumnVector cv = batch.cols[j];
                // if the value is repeating, use row 0
                int rowId = cv.isRepeating ? 0 : i;
                // make sure the null flag agrees
                if (a == null) {
                    Assert.assertEquals(true, !cv.noNulls && cv.isNull[rowId]);
                } else if (a instanceof BooleanWritable) {
                    // Boolean values are stores a 1's and 0's, so convert and compare
                    Long temp = (long) (((BooleanWritable) a).get() ? 1 : 0);
                    long b = ((LongColumnVector) cv).vector[rowId];
                    Assert.assertEquals(temp.toString(), Long.toString(b));
                } else if (a instanceof TimestampWritable) {
                    // Timestamps are stored as long, so convert and compare
                    TimestampWritable t = ((TimestampWritable) a);
                    TimestampColumnVector tcv = ((TimestampColumnVector) cv);
                    Assert.assertEquals(t.getTimestamp(), tcv.asScratchTimestamp(rowId));
                } else if (a instanceof DateWritable) {
                    // Dates are stored as long, so convert and compare
                    DateWritable adt = (DateWritable) a;
                    long b = ((LongColumnVector) cv).vector[rowId];
                    Assert.assertEquals(adt.get().getTime(), DateWritable.daysToMillis((int) b));
                } else if (a instanceof HiveDecimalWritable) {
                    // Decimals are stored as BigInteger, so convert and compare
                    HiveDecimalWritable dec = (HiveDecimalWritable) a;
                    HiveDecimalWritable b = ((DecimalColumnVector) cv).vector[i];
                    Assert.assertEquals(dec, b);
                } else if (a instanceof DoubleWritable) {
                    double b = ((DoubleColumnVector) cv).vector[rowId];
                    assertEquals(a.toString(), Double.toString(b));
                } else if (a instanceof Text) {
                    BytesColumnVector bcv = (BytesColumnVector) cv;
                    Text b = new Text();
                    b.set(bcv.vector[rowId], bcv.start[rowId], bcv.length[rowId]);
                    assertEquals(a, b);
                } else if (a instanceof IntWritable || a instanceof LongWritable || a instanceof ByteWritable || a instanceof ShortWritable) {
                    assertEquals(a.toString(), Long.toString(((LongColumnVector) cv).vector[rowId]));
                } else {
                    assertEquals("huh", a.getClass().getName());
                }
            }
        }
        // Check repeating
        Assert.assertEquals(false, batch.cols[0].isRepeating);
        Assert.assertEquals(false, batch.cols[1].isRepeating);
        Assert.assertEquals(false, batch.cols[2].isRepeating);
        Assert.assertEquals(true, batch.cols[3].isRepeating);
        Assert.assertEquals(false, batch.cols[4].isRepeating);
        Assert.assertEquals(false, batch.cols[5].isRepeating);
        Assert.assertEquals(false, batch.cols[6].isRepeating);
        Assert.assertEquals(false, batch.cols[7].isRepeating);
        Assert.assertEquals(false, batch.cols[8].isRepeating);
        Assert.assertEquals(false, batch.cols[9].isRepeating);
        // Check non null
        Assert.assertEquals(false, batch.cols[0].noNulls);
        Assert.assertEquals(false, batch.cols[1].noNulls);
        Assert.assertEquals(true, batch.cols[2].noNulls);
        Assert.assertEquals(true, batch.cols[3].noNulls);
        Assert.assertEquals(false, batch.cols[4].noNulls);
        Assert.assertEquals(false, batch.cols[5].noNulls);
        Assert.assertEquals(false, batch.cols[6].noNulls);
        Assert.assertEquals(false, batch.cols[7].noNulls);
        Assert.assertEquals(false, batch.cols[8].noNulls);
        Assert.assertEquals(false, batch.cols[9].noNulls);
    }
    Assert.assertEquals(false, rr.nextBatch(batch));
}

Example 8 with ColumnVector

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

the class VectorMapJoinOuterGenerateResultOperator method outerPerBatchSetup.

//-----------------------------------------------------------------------------------------------
/*
   * Outer join (hash map).
   */
/**
   * Do the per-batch setup for an outer join.
   */
protected void outerPerBatchSetup(VectorizedRowBatch batch) {
    for (int column : smallTableOutputVectorColumns) {
        ColumnVector smallTableColumn = batch.cols[column];
        smallTableColumn.reset();
    }
    for (int column : bigTableOuterKeyOutputVectorColumns) {
        ColumnVector bigTableOuterKeyColumn = batch.cols[column];
        bigTableOuterKeyColumn.reset();
    }
}

Example 9 with ColumnVector

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

the class VectorizedStructColumnReader method readBatch.

@Override
public void readBatch(int total, ColumnVector column, TypeInfo columnType) throws IOException {
    StructColumnVector structColumnVector = (StructColumnVector) column;
    StructTypeInfo structTypeInfo = (StructTypeInfo) columnType;
    ColumnVector[] vectors = structColumnVector.fields;
    for (int i = 0; i < vectors.length; i++) {
        fieldReaders.get(i).readBatch(total, vectors[i], structTypeInfo.getAllStructFieldTypeInfos().get(i));
        structColumnVector.isRepeating = structColumnVector.isRepeating && vectors[i].isRepeating;
        for (int j = 0; j < vectors[i].isNull.length; j++) {
            structColumnVector.isNull[j] = (i == 0) ? vectors[i].isNull[j] : structColumnVector.isNull[j] && vectors[i].isNull[j];
        }
        structColumnVector.noNulls = (i == 0) ? vectors[i].noNulls : structColumnVector.noNulls && vectors[i].noNulls;
    }
}

Example 10 with ColumnVector

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

the class FilterStructColumnInList method evaluate.

@Override
public void evaluate(VectorizedRowBatch batch) {
    final int logicalSize = batch.size;
    if (logicalSize == 0) {
        return;
    }
    if (buffer == null) {
        buffer = new Output();
        binarySortableSerializeWrite = new BinarySortableSerializeWrite(structColumnMap.length);
    }
    for (VectorExpression ve : structExpressions) {
        ve.evaluate(batch);
    }
    BytesColumnVector scratchBytesColumnVector = (BytesColumnVector) batch.cols[scratchBytesColumn];
    try {
        boolean selectedInUse = batch.selectedInUse;
        int[] selected = batch.selected;
        for (int logical = 0; logical < logicalSize; logical++) {
            int batchIndex = (selectedInUse ? selected[logical] : logical);
            binarySortableSerializeWrite.set(buffer);
            for (int f = 0; f < structColumnMap.length; f++) {
                int fieldColumn = structColumnMap[f];
                ColumnVector colVec = batch.cols[fieldColumn];
                int adjustedIndex = (colVec.isRepeating ? 0 : batchIndex);
                if (colVec.noNulls || !colVec.isNull[adjustedIndex]) {
                    switch(fieldVectorColumnTypes[f]) {
                        case BYTES:
                            {
                                BytesColumnVector bytesColVec = (BytesColumnVector) colVec;
                                byte[] bytes = bytesColVec.vector[adjustedIndex];
                                int start = bytesColVec.start[adjustedIndex];
                                int length = bytesColVec.length[adjustedIndex];
                                binarySortableSerializeWrite.writeString(bytes, start, length);
                            }
                            break;
                        case LONG:
                            binarySortableSerializeWrite.writeLong(((LongColumnVector) colVec).vector[adjustedIndex]);
                            break;
                        case DOUBLE:
                            binarySortableSerializeWrite.writeDouble(((DoubleColumnVector) colVec).vector[adjustedIndex]);
                            break;
                        case DECIMAL:
                            DecimalColumnVector decColVector = ((DecimalColumnVector) colVec);
                            binarySortableSerializeWrite.writeHiveDecimal(decColVector.vector[adjustedIndex], decColVector.scale);
                            break;
                        default:
                            throw new RuntimeException("Unexpected vector column type " + fieldVectorColumnTypes[f].name());
                    }
                } else {
                    binarySortableSerializeWrite.writeNull();
                }
            }
            scratchBytesColumnVector.setVal(batchIndex, buffer.getData(), 0, buffer.getLength());
        }
        // Now, take the serialized keys we just wrote into our scratch column and look them
        // up in the IN list.
        super.evaluate(batch);
    } catch (Exception e) {
        throw new RuntimeException(e);
    }
}