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

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


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

    BytesColumnVector outV = (BytesColumnVector) batch.cols[outputColumn];
    ColumnVector inputCol = batch.cols[this.colNum];
    /* every line below this is identical for evaluateLong & evaluateString */
    final int n = inputCol.isRepeating ? 1 : batch.size;
    int[] sel = batch.selected;

    if(batch.size == 0) {
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  @Override
  public void evaluate(VectorizedRowBatch batch) {
    if (childExpressions != null) {
      super.evaluateChildren(batch);
    }
    ColumnVector inputColVector = batch.cols[colNum];
    int[] sel = batch.selected;
    boolean[] nullPos = inputColVector.isNull;
    int n = batch.size;
    if (n <= 0) {
      // Nothing to do
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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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    if (childExpressions != null) {
      super.evaluateChildren(batch);
    }

    ColumnVector inputColVector1 = batch.cols[colNum1];
    LongColumnVector inputColVector2 = (LongColumnVector) batch.cols[colNum2];
    int[] sel = batch.selected;
    int n = batch.size;
    long[] vector2 = inputColVector2.vector;
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    if (childExpressions != null) {
      super.evaluateChildren(batch);
    }

    LongColumnVector outV = (LongColumnVector) batch.cols[outputColumn];
    ColumnVector inputCol = batch.cols[this.colNum];
    /* every line below this is identical for evaluateLong & evaluateString */
    final int n = inputCol.isRepeating ? 1 : batch.size;
    int[] sel = batch.selected;

    if(batch.size == 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;
    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;
      }

      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;
    if (n <= 0) {
      // Nothing to do
View Full Code Here

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