List of initBuffer() Examples

Examples of initBuffer()

Hexel.rendering.GLObj.initBuffer()
org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()
You must call initBuffer first before using setVal(). Provide the estimated number of bytes needed to hold a full column vector worth of byte string data. @param estimatedValueSize Estimated size of buffer space needed

Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()


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


    if (n == 0) {
      //Nothing to do
      return;
    }

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Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()


    byte[][] vector = inV.vector;
    int[] sel = batch.selected;
    int[] len = inV.length;
    int[] start = inV.start;
    outV.initBuffer();


    if (inV.isRepeating) {
      outV.isRepeating = true;
      if (!inV.noNulls && inV.isNull[0]) {
        outV.isNull[0] = true;

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Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()

    LongColumnVector inputColVector = (LongColumnVector) batch.cols[inputCol];
    int[] sel = batch.selected;
    int n = batch.size;
    long[] vector = inputColVector.vector;
    BytesColumnVector outV = (BytesColumnVector) batch.cols[outputCol];
    outV.initBuffer();


    if (n == 0) {
      //Nothing to do
      return;
    }

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Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()

    if (n == 0) {
      return;
    }


    // prepare output buffer to accept results
    outV.initBuffer();


    /* Handle default case for isRepeating setting for output. This will be set to true
     * later in the special cases where that is necessary.
     */
    outV.isRepeating = false;

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Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()

    LongColumnVector inputColVector = (LongColumnVector) batch.cols[inputColumn];
    int[] sel = batch.selected;
    int n = batch.size;
    long[] vector = inputColVector.vector;
    BytesColumnVector outV = (BytesColumnVector) batch.cols[outputColumn];
    outV.initBuffer();


    if (n == 0) {
      //Nothing to do
      return;
    }

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Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()

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


    // set second argument to IF
    BytesColumnVector v = new BytesColumnVector();
    v.initBuffer();
    setString(v, 0, "arg2_0");
    setString(v, 1, "arg2_1");
    setString(v, 2, "arg2_2");
    setString(v, 3, "arg2_3");

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Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()


    batch.cols[1] = v;


    // set third argument to IF
    v = new BytesColumnVector();
    v.initBuffer();
    setString(v, 0, "arg3_0");
    setString(v, 1, "arg3_1");
    setString(v, 2, "arg3_2");
    setString(v, 3, "arg3_3");
    batch.cols[2] = v;

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Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()

    setString(v, 3, "arg3_3");
    batch.cols[2] = v;


    // set output column
    v = new BytesColumnVector();
    v.initBuffer();
    batch.cols[3] = v;
    batch.size = 4;
    return batch;
  }

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Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()

    // return immediately if batch is empty
    if (n == 0) {
      return;
    }


    outputColVector.initBuffer();


    if (arg1ColVector.isRepeating) {
      if (vector1[0] == 1) {
        outputColVector.fill(arg2Scalar);
      } else {

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Examples of org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector.initBuffer()

    // return immediately if batch is empty
    if (n == 0) {
      return;
    }


    outputColVector.initBuffer();


    /* All the code paths below propagate nulls even if arg2 has no nulls.
     * This is to reduce the number of code paths and shorten the
     * code, at the expense of maybe doing unnecessary work if neither input
     * has nulls. This could be improved in the future by expanding the number

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