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

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

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    assertTrue(r.vector[2].getHiveDecimal().equals(HiveDecimal.create("99999999999999")));
  }

  private VectorizedRowBatch getBatchDoubleDecimal() {
    VectorizedRowBatch b = new VectorizedRowBatch(2);
    DoubleColumnVector dv;
    short scale = 2;
    b.cols[0] = dv = new DoubleColumnVector();
    b.cols[1] = new DecimalColumnVector(18, scale);

    b.size = 3;

    dv.vector[0] = 0d;
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      return result;
    }

    @Override
    Object nextVector(Object previousVector, long batchSize) throws IOException {
      DoubleColumnVector result = null;
      if (previousVector == null) {
        result = new DoubleColumnVector();
      } else {
        result = (DoubleColumnVector) previousVector;
      }

      // Read present/isNull stream
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      return result;
    }

    @Override
    Object nextVector(Object previousVector, long batchSize) throws IOException {
      DoubleColumnVector result = null;
      if (previousVector == null) {
        result = new DoubleColumnVector();
      } else {
        result = (DoubleColumnVector) previousVector;
      }

      // Read present/isNull stream
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    if (childExpressions != null) {
      super.evaluateChildren(batch);
    }

    LongColumnVector inputColVector = (LongColumnVector) batch.cols[colNum];
    DoubleColumnVector outputColVector = (DoubleColumnVector) batch.cols[outputColumn];
    int[] sel = batch.selected;
    boolean[] inputIsNull = inputColVector.isNull;
    boolean[] outputIsNull = outputColVector.isNull;
    outputColVector.noNulls = inputColVector.noNulls;
    outputColVector.isRepeating = inputColVector.isRepeating;
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    if (childExpressions != null) {
      super.evaluateChildren(batch);
    }

    LongColumnVector inputColVector = (LongColumnVector) batch.cols[colNum];
    DoubleColumnVector outputColVector = (DoubleColumnVector) batch.cols[outputColumn];
    int[] sel = batch.selected;
    boolean[] inputIsNull = inputColVector.isNull;
    boolean[] outputIsNull = outputColVector.isNull;
    outputColVector.noNulls = inputColVector.noNulls;
    outputColVector.isRepeating = inputColVector.isRepeating;
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    if (childExpressions != null) {
      this.evaluateChildren(batch);
    }

    DoubleColumnVector outputColVector = (DoubleColumnVector) batch.cols[outputCol];
    int[] sel = batch.selected;
    int n = batch.size;
    double[] outputVector = outputColVector.vector;
    outputColVector.noNulls = true;
    outputColVector.isRepeating = false;
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    int size = 20;
    VectorizedRowBatch vrg = VectorizedRowGroupGenUtil.getVectorizedRowBatch(size, 5, 0);

    LongColumnVector lcv = (LongColumnVector) vrg.cols[0];
    DoubleColumnVector dcv = new DoubleColumnVector(size);
    BytesColumnVector bcv = new BytesColumnVector(size);
    DecimalColumnVector dv = new DecimalColumnVector(5, 1);
    BytesColumnVector bcvn = new BytesColumnVector(size);
    vrg.cols[1] = dcv;
    vrg.cols[2] = bcv;
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    return lcv;
  }

  public static DoubleColumnVector generateDoubleColumnVector(boolean nulls,
      boolean repeating, int size, Random rand) {
    DoubleColumnVector dcv = new DoubleColumnVector(size);

    dcv.noNulls = !nulls;
    dcv.isRepeating = repeating;

    double repeatingValue;
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    lv.vector[2] = 1;
    lv.vector[3] = 1;
    batch.cols[0] = lv;

    // set second argument to IF
    DoubleColumnVector v = new DoubleColumnVector();
    v.vector[0] = -1;
    v.vector[1] = -2;
    v.vector[2] = -3;
    v.vector[3] = -4;
    batch.cols[1] = v;

    // set third argument to IF
    v = new DoubleColumnVector();
    v.vector[0] = 1;
    v.vector[1] = 2;
    v.vector[2] = 3;
    v.vector[3] = 4;
    batch.cols[2] = v;

    // set output column
    batch.cols[3] = new DoubleColumnVector();

    batch.size = 4;
    return batch;
  }
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    VectorizedRowBatch batch = getBatch1Long3DoubleVectors();
    VectorExpression expr = new IfExprDoubleColumnDoubleColumn(0, 1, 2, 3);
    expr.evaluate(batch);

    // get result vector
    DoubleColumnVector r = (DoubleColumnVector) batch.cols[3];

    // verify standard case
    assertEquals(true, 1d == r.vector[0]);
    assertEquals(true, 2d == r.vector[1]);
    assertEquals(true, -3d == r.vector[2]);
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Related Classes of org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector

  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFAvgDouble
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFMaxDouble
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFMinDouble
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFStdPopDouble
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFStdSampDouble
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFSumDouble
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFVarPopDouble
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFVarSampDouble
  • org.apache.hadoop.hive.ql.exec.vector.expressions.FuncDoubleToDecimal
  • org.apache.hadoop.hive.ql.exec.vector.expressions.FuncRand
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