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

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

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

org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector
This class represents a nullable double precision floating point column vector. This class will be used for operations on all floating point types (float, double) and as such will use a 64-bit double value to hold the biggest possible value. During copy-in/copy-out, smaller types (i.e. float) will be converted as needed. This will reduce the amount of code that needs to be generated and also will run fast since the machine operates with 64-bit words. The vector[] field is public by design for high-performance access in the inner loop of query execution.


    // Spot check only. null & repeating behavior are checked elsewhere for the same template.
    int seed = 17;
    VectorizedRowBatch vrb = VectorizedRowGroupGenUtil.getVectorizedRowBatch(
        5, 2, seed);
    DoubleColumnVector dcv0 = new DoubleColumnVector();
    vrb.cols[0] = dcv0;


    //Basic case
    dcv0.vector[0] = 5;
    dcv0.vector[1] = 20;

View Full Code Here


    // Spot check only. null & repeating behavior are checked elsewhere for the same template.
    int seed = 17;
    VectorizedRowBatch vrb = VectorizedRowGroupGenUtil.getVectorizedRowBatch(
        5, 2, seed);
    vrb.cols[0] = new DoubleColumnVector();
    DoubleColumnVector dcv = (DoubleColumnVector) vrb.cols[0];


    //Basic case
    dcv.vector[0] = 5;
    dcv.vector[1] = 20;
    dcv.vector[2] = 17;

View Full Code Here

  @Test
  public void testFilterDoubleIn() {
    int seed = 17;
    VectorizedRowBatch vrb = VectorizedRowGroupGenUtil.getVectorizedRowBatch(
        5, 2, seed);
    DoubleColumnVector dcv0 = new DoubleColumnVector();
    vrb.cols[0] = dcv0;
    double[] inList = {5.0, 20.2};
    FilterDoubleColumnInList f = new FilterDoubleColumnInList(0);
    f.setInListValues(inList);
    VectorExpression expr1 = f;

View Full Code Here


    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;

View Full Code Here

    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;

View Full Code Here

    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;

View Full Code Here

    }


    DecimalColumnVector inV = (DecimalColumnVector) batch.cols[inputColumn];
    int[] sel = batch.selected;
    int n = batch.size;
    DoubleColumnVector outV = (DoubleColumnVector) batch.cols[outputColumn];


    if (n == 0) {


      // Nothing to do
      return;

View Full Code Here


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


    DoubleColumnVector inV = (DoubleColumnVector) batch.cols[inputColumn];
    int[] sel = batch.selected;
    int n = batch.size;
    DecimalColumnVector outV = (DecimalColumnVector) batch.cols[outputColumn];


    if (n == 0) {

View Full Code Here

    if (childExpressions != null) {
      this.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;
    int n = batch.size;

View Full Code Here


    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;

View Full Code Here

0 1 2 3 4 5 6 7 8 9

TOP

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

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.