Examples of BytesColumnVector

org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector
This class supports string and binary data by value reference -- i.e. each field is explicitly present, as opposed to provided by a dictionary reference. In some cases, all the values will be in the same byte array to begin with, but this need not be the case. If each value is in a separate byte array to start with, or not all of the values are in the same original byte array, you can still assign data by reference into this column vector. This gives flexibility to use this in multiple situations.
When setting data by reference, the caller is responsible for allocating the byte arrays used to hold the data. You can also set data by value, as long as you call the initBuffer() method first. You can mix "by value" and "by reference" in the same column vector, though that use is probably not typical.

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

  /*
   * Input array is used to fill the entire size of the vector row batch
   */
  private VectorizedRowBatch getVectorizedRowBatchStringLong(long[] inputs, int size) {
    VectorizedRowBatch batch = new VectorizedRowBatch(2, size);
    BytesColumnVector bcv = new BytesColumnVector(size);
    for (int i = 0; i < size; i++) {
      byte[] encoded = encodeTime(inputs[i % inputs.length]);
      bcv.vector[i] = encoded;
      bcv.start[i] = 0;
      bcv.length[i] = encoded.length;

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

    return batch;
  }


  private VectorizedRowBatch getVectorizedRowBatchStringLong(byte[] vector, int start, int length) {
    VectorizedRowBatch batch = new VectorizedRowBatch(2, 1);
    BytesColumnVector bcv = new BytesColumnVector(1);


    bcv.vector[0] = vector;
    bcv.start[0] = start;
    bcv.length[0] = length;

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

  }


  private void testWriterText(TypeInfo type) throws HiveException {
    Text t1 = new Text("alpha");
    Text t2 = new Text("beta");
    BytesColumnVector bcv = new BytesColumnVector(vectorSize);
    bcv.noNulls = false;
    bcv.initBuffer();
    bcv.setVal(0, t1.getBytes(), 0, t1.getLength());
    bcv.isNull[1] = true;
    bcv.setVal(2, t2.getBytes(), 0, t2.getLength());
    bcv.isNull[3] = true;
    bcv.setVal(4, t1.getBytes(), 0, t1.getLength());
    VectorExpressionWriter vew = getWriter(type);
    for (int i = 0; i < vectorSize; i++) {
      Writable w = (Writable) vew.writeValue(bcv, i);
      if (w != null) {
        byte [] val = new byte[bcv.length[i]];

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

  }
  
  private void testSetterText(TypeInfo type) throws HiveException {
    Text t1 = new Text("alpha");
    Text t2 = new Text("beta");
    BytesColumnVector bcv = new BytesColumnVector(vectorSize);
    bcv.noNulls = false;
    bcv.initBuffer();
    bcv.setVal(0, t1.getBytes(), 0, t1.getLength());
    bcv.isNull[1] = true;
    bcv.setVal(2, t2.getBytes(), 0, t2.getLength());
    bcv.isNull[3] = true;
    bcv.setVal(4, t1.getBytes(), 0, t1.getLength());
    
    Object[] values = new Object[this.vectorSize];
    VectorExpressionWriter vew = getWriter(type);
    for (int i = 0; i < vectorSize; i++) {
      values[i] = vew.initValue(null);

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

  }


  @Test
  public void testCastLongToString() {
    VectorizedRowBatch b = TestVectorMathFunctions.getBatchForStringMath();
    BytesColumnVector resultV = (BytesColumnVector) b.cols[2];
    b.cols[1].noNulls = true;
    VectorExpression expr = new CastLongToString(1, 2);
    expr.evaluate(b);
    byte[] num255 = toBytes("255");
    Assert.assertEquals(0,

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

  public void testCastBooleanToString() {
    byte[] t = toBytes("TRUE");
    byte[] f = toBytes("FALSE");
    VectorizedRowBatch b = TestVectorMathFunctions.getBatchForStringMath();
    LongColumnVector inV = (LongColumnVector) b.cols[1];
    BytesColumnVector resultV = (BytesColumnVector) b.cols[2];
    inV.vector[1] = 1;
    VectorExpression expr = new CastBooleanToStringViaLongToString(1, 2);
    expr.evaluate(b);
    Assert.assertEquals(0,
        StringExpr.compare(f, 0, f.length,

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

  @Test
  public void testCastDecimalToString() {
    VectorizedRowBatch b = getBatchDecimalString();
    VectorExpression expr = new CastDecimalToString(0, 1);
    expr.evaluate(b);
    BytesColumnVector r = (BytesColumnVector) b.cols[1];


    byte[] v = toBytes("1.1");
    Assert.assertEquals(0,
        StringExpr.compare(v, 0, v.length,
            r.vector[0], r.start[0], r.length[0]));

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

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


    b.size = 3;


    dv.vector[0].update("1.1", scale);
    dv.vector[1].update("-2.2", scale);

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

    assertTrue(r.vector[2].equals(new Decimal128("99999999999999.0", r.scale)));
  }


  private VectorizedRowBatch getBatchStringDecimal() {
    VectorizedRowBatch b = new VectorizedRowBatch(2);
    BytesColumnVector bv;
    b.cols[0] = bv = new BytesColumnVector();
    b.cols[1] = new DecimalColumnVector(18, 2);


    bv.initBuffer();


    byte[] x0 = toBytes("1.10");
    byte[] x1 = toBytes("-2.20");
    byte[] x2 = toBytes("99999999999999.0");


    bv.setVal(0, x0, 0, x0.length);
    bv.setVal(1, x1, 0, x1.length);
    bv.setVal(2, x2, 0, x2.length);


    return b;
  }

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

  }


  public static VectorizedRowBatch getBatchForStringMath() {
    VectorizedRowBatch batch = new VectorizedRowBatch(3);
    LongColumnVector inL;
    BytesColumnVector inS, outS;
    inL = new LongColumnVector();
    inS = new BytesColumnVector();
    outS = new BytesColumnVector();
    inL.vector[0] = 0;
    inL.vector[1] = 255;
    inL.vector[2] = 0;
    inS.initBuffer();
    try {
      inS.setVal(0, "00".getBytes("UTF-8"), 0, 2);
      inS.setVal(1, "3232".getBytes("UTF-8"), 0, 4);
      byte[] bad = "bad data".getBytes("UTF-8");
      inS.setVal(2, bad, 0, bad.length);
    } catch (UnsupportedEncodingException e) {
      e.printStackTrace();
      Assert.assertTrue(false);
    }

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