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

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

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

org.apache.hadoop.hive.ql.exec.vector.LongColumnVector
This class represents a nullable int column vector. This class will be used for operations on all integer types (tinyint, smallint, int, bigint) and as such will use a 64-bit long value to hold the biggest possible value. During copy-in/copy-out, smaller int types 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.


    private final LongColumnVector scratchlcv;


    StringDirectTreeReader(Path path, int columnId, Configuration conf) {
      super(path, columnId, conf);
      scratchlcv = new LongColumnVector();
    }

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    private byte[] dictionaryBufferInBytesCache = null;
    private final LongColumnVector scratchlcv;


    StringDictionaryTreeReader(Path path, int columnId, Configuration conf) {
      super(path, columnId, conf);
      scratchlcv = new LongColumnVector();
    }

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      return result;
    }


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


      // Read present/isNull stream

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      return result;
    }


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


      // Read present/isNull stream

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      return result;
    }


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


      // Read present/isNull stream

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      return result;
    }


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


      // Read present/isNull stream

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      return result;
    }


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


      // Read present/isNull stream

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    VectorizedRowBatch b = getBatchLongInLongOut();
    vudf.evaluate(b);


    // verify output
    LongColumnVector out = (LongColumnVector) b.cols[1];
    assertEquals(1000, out.vector[0]);
    assertEquals(1001, out.vector[1]);
    assertEquals(1002, out.vector[2]);
    assertTrue(out.noNulls);
    assertFalse(out.isRepeating);

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    assertTrue(out.noNulls);
  }


  private VectorizedRowBatch getBatchLongInLongOut() {
    VectorizedRowBatch b = new VectorizedRowBatch(2);
    LongColumnVector in = new LongColumnVector();
    LongColumnVector out = new LongColumnVector();
    b.cols[0] = in;
    b.cols[1] = out;
    in.vector[0] = 0;
    in.vector[1] = 1;
    in.vector[2] = 2;

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  }


  private VectorizedRowBatch getBatchStrDblLongWithStrOut() {
    VectorizedRowBatch b = new VectorizedRowBatch(4);
    BytesColumnVector strCol = new BytesColumnVector();
    LongColumnVector longCol = new LongColumnVector();
    DoubleColumnVector dblCol = new DoubleColumnVector();
    BytesColumnVector outCol = new BytesColumnVector();
    b.cols[0] = strCol;
    b.cols[1] = longCol;
    b.cols[2] = dblCol;

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