Examples of org.apache.hadoop.hive.ql.exec.vector.ColumnVector

Package org.apache.hadoop.hive.ql.exec.vector

Examples of org.apache.hadoop.hive.ql.exec.vector.ColumnVector

org.apache.hadoop.hive.ql.exec.vector.ColumnVector
ColumnVector contains the shared structure for the sub-types, including NULL information, and whether this vector repeats, i.e. has all values the same, so only the first one is set. This is used to accelerate query performance by handling a whole vector in O(1) time when applicable. The fields are public by design since this is a performance-critical structure that is used in the inner loop of query execution.

     * @return
     * @throws IOException
     */
    Object nextVector(Object previousVector, long batchSize) throws IOException {


      ColumnVector result = (ColumnVector) previousVector;
      if (present != null) {
        // Set noNulls and isNull vector of the ColumnVector based on
        // present stream
        result.noNulls = true;
        for (int i = 0; i < batchSize; i++) {

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        return;
      }


      inputExpression.evaluate(batch);


      ColumnVector inputVector = batch.cols[this.inputExpression.getOutputColumn()];


      if (inputVector.noNulls) {
          // if there are no nulls then the iteration is the same on all cases
          iterateNoNullsWithAggregationSelection(
            aggregationBufferSets, aggregateIndex, batchSize);

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    public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch)
    throws HiveException {


      inputExpression.evaluate(batch);


      ColumnVector inputVector = batch.cols[this.inputExpression.getOutputColumn()];


      int batchSize = batch.size;


      if (batchSize == 0) {
        return;

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    if (childExpressions != null) {
      super.evaluateChildren(batch);
    }


    ColumnVector inputColVector = batch.cols[colNum];
    int[] sel = batch.selected;
    boolean[] nullPos = inputColVector.isNull;
    int n = batch.size;
    long[] outputVector = ((LongColumnVector) batch.cols[outputColumn]).vector;
    if (n <= 0) {

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    if (childExpressions != null) {
      super.evaluateChildren(batch);
    }


    ColumnVector inputColVector = batch.cols[colNum];
    int[] sel = batch.selected;
    boolean[] nullPos = inputColVector.isNull;
    int n = batch.size;
    long[] outputVector = ((LongColumnVector) batch.cols[outputColumn]).vector;

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     * @return
     * @throws IOException
     */
    Object nextVector(Object previousVector, long batchSize) throws IOException {


      ColumnVector result = (ColumnVector) previousVector;
      if (present != null) {
        // Set noNulls and isNull vector of the ColumnVector based on
        // present stream
        result.noNulls = true;
        for (int i = 0; i < batchSize; i++) {

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  @Override
  public VectorizedRowBatch produceNextBatch() {
    batch.size = 0;
    batch.selectedInUse = false;
    for (int i=0; i < numCols; ++i) {
      ColumnVector col = batch.cols[i];
      col.noNulls = true;
      col.isRepeating = false;
    }
    while (!eof && batch.size < this.batchSize){
      int r = batch.size;

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  @Override
  public VectorizedRowBatch produceNextBatch() {
    batch.size = 0;
    batch.selectedInUse = false;
    for (int i=0; i < types.length; ++i) {
      ColumnVector col = batch.cols[i];
      col.noNulls = true;
      col.isRepeating = false;
    }
    while (!eof && batch.size < this.batchSize){
      int r = batch.size;

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    }
    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);

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    // Evaluate batch1 so that temporary arrays in the expression
    // have residual values to interfere in later computation
    orExpr.evaluate(batch1);


    // Swap column vectors, but keep selected vector unchanged
    ColumnVector tmp = batch1.cols[0];
    batch1.cols[0] = batch1.cols[1];
    batch1.cols[1] = tmp;
    // Make sure row-7 is in the output.
    batch1.cols[1].isNull[7] = false;
    ((LongColumnVector) batch1.cols[1]).vector[7] = 0;

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