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

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

1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
    LongColumnVector intColumn = (LongColumnVector) value.cols[3];
    LongColumnVector longColumn = (LongColumnVector) value.cols[4];
    DoubleColumnVector floatColumn = (DoubleColumnVector) value.cols[5];
    DoubleColumnVector doubleCoulmn = (DoubleColumnVector) value.cols[6];
    BytesColumnVector stringColumn = (BytesColumnVector) value.cols[7];
    DecimalColumnVector decimalColumn = (DecimalColumnVector) value.cols[8];
    LongColumnVector dateColumn = (LongColumnVector) value.cols[9];
    LongColumnVector timestampColumn = (LongColumnVector) value.cols[10];
    for(int i=0; i < 100; i++) {
      assertEquals("checking boolean " + i, i % 2 == 0 ? 1 : 0,
          booleanColumn.vector[i]);
View Full Code Here
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
      return null;
    }

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

      // Save the reference for isNull in the scratch vector
View Full Code Here
181
182
183
184
185
186
187
188
189
190
191
        return;
      }

      inputExpression.evaluate(batch);

       DecimalColumnVector inputVector = ( DecimalColumnVector)batch.
        cols[this.inputExpression.getOutputColumn()];
      Decimal128[] vector = inputVector.vector;

      if (inputVector.noNulls) {
        if (inputVector.isRepeating) {
View Full Code Here
354
355
356
357
358
359
360
361
362
363
364
    public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch)
        throws HiveException {

        inputExpression.evaluate(batch);

        DecimalColumnVector inputVector =
            (DecimalColumnVector)batch.cols[this.inputExpression.getOutputColumn()];

        int batchSize = batch.size;

        if (batchSize == 0) {
View Full Code Here
106
107
108
109
110
111
112
113
114
115
116
        return;
      }

      inputExpression.evaluate(batch);

      DecimalColumnVector inputVector = (DecimalColumnVector)batch.
        cols[this.inputExpression.getOutputColumn()];
      Decimal128[] vector = inputVector.vector;

      if (inputVector.noNulls) {
        if (inputVector.isRepeating) {
View Full Code Here
293
294
295
296
297
298
299
300
301
302
303
    public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch)
    throws HiveException {

      inputExpression.evaluate(batch);

      DecimalColumnVector inputVector = (DecimalColumnVector)batch.
          cols[this.inputExpression.getOutputColumn()];

      int batchSize = batch.size;

      if (batchSize == 0) {
View Full Code Here
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
    LongColumnVector intColumn = (LongColumnVector) value.cols[3];
    LongColumnVector longColumn = (LongColumnVector) value.cols[4];
    DoubleColumnVector floatColumn = (DoubleColumnVector) value.cols[5];
    DoubleColumnVector doubleCoulmn = (DoubleColumnVector) value.cols[6];
    BytesColumnVector stringColumn = (BytesColumnVector) value.cols[7];
    DecimalColumnVector decimalColumn = (DecimalColumnVector) value.cols[8];
    LongColumnVector dateColumn = (LongColumnVector) value.cols[9];
    LongColumnVector timestampColumn = (LongColumnVector) value.cols[10];
    for(int i=0; i < 100; i++) {
      assertEquals("checking boolean " + i, i % 2 == 0 ? 1 : 0,
          booleanColumn.vector[i]);
View Full Code Here
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
      return null;
    }

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

      // Save the reference for isNull in the scratch vector
View Full Code Here
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
  @Test
  public void testDecimalColAddDecimalColumn() {
    VectorizedRowBatch b = getVectorizedRowBatch3DecimalCols();
    VectorExpression expr = new DecimalColAddDecimalColumn(0, 1, 2);
    DecimalColumnVector r = (DecimalColumnVector) b.cols[2];

    // test without nulls
    expr.evaluate(b);
    assertTrue(r.vector[0].equals(new Decimal128("2.20", (short) 2)));
    assertTrue(r.vector[1].equals(new Decimal128("-2.30", (short) 2)));
    assertTrue(r.vector[2].equals(new Decimal128("1.00", (short) 2)));

    // test nulls propagation
    b = getVectorizedRowBatch3DecimalCols();
    DecimalColumnVector c0 = (DecimalColumnVector) b.cols[0];
    c0.noNulls = false;
    c0.isNull[0] = true;
    r = (DecimalColumnVector) b.cols[2];
    expr.evaluate(b);
    assertTrue(!r.noNulls && r.isNull[0]);

    // Verify null output data entry is not 0, but rather the value specified by design,
    // which is the minimum non-0 value, 0.01 in this case.
    assertTrue(r.vector[0].equals(new Decimal128("0.01", (short) 2)));

    // test that overflow produces NULL
    b = getVectorizedRowBatch3DecimalCols();
    c0 = (DecimalColumnVector) b.cols[0];
    c0.vector[0].update("9999999999999999.99", (short) 2); // set to max possible value
    r = (DecimalColumnVector) b.cols[2];
    expr.evaluate(b); // will cause overflow for result at position 0, must yield NULL
    assertTrue(!r.noNulls && r.isNull[0]);

    // verify proper null output data value
    assertTrue(r.vector[0].equals(new Decimal128("0.01", (short) 2)));

    // test left input repeating
    b = getVectorizedRowBatch3DecimalCols();
    c0 = (DecimalColumnVector) b.cols[0];
    c0.isRepeating = true;
    r = (DecimalColumnVector) b.cols[2];
    expr.evaluate(b);
    assertTrue(r.vector[0].equals(new Decimal128("2.20", (short) 2)));
    assertTrue(r.vector[1].equals(new Decimal128("2.20", (short) 2)));
    assertTrue(r.vector[2].equals(new Decimal128("2.20", (short) 2)));

    // test both inputs repeating
    DecimalColumnVector c1 = (DecimalColumnVector) b.cols[1];
    c1.isRepeating = true;
    expr.evaluate(b);
    assertTrue(r.isRepeating);
    assertTrue(r.vector[0].equals(new Decimal128("2.20", (short) 2)));
View Full Code Here
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
  // Spot check decimal column-column subtract
  @Test
  public void testDecimalColSubtractDecimalColumn() {
    VectorizedRowBatch b = getVectorizedRowBatch3DecimalCols();
    VectorExpression expr = new DecimalColSubtractDecimalColumn(0, 1, 2);
    DecimalColumnVector r = (DecimalColumnVector) b.cols[2];

    // test without nulls
    expr.evaluate(b);
    assertTrue(r.vector[0].equals(new Decimal128("0.20", (short) 2)));
    assertTrue(r.vector[1].equals(new Decimal128("-4.30", (short) 2)));
    assertTrue(r.vector[2].equals(new Decimal128("-1.00", (short) 2)));

    // test that underflow produces NULL
    b = getVectorizedRowBatch3DecimalCols();
    DecimalColumnVector c0 = (DecimalColumnVector) b.cols[0];
    c0.vector[0].update("-9999999999999999.99", (short) 2); // set to min possible value
    r = (DecimalColumnVector) b.cols[2];
    expr.evaluate(b); // will cause underflow for result at position 0, must yield NULL
    assertTrue(!r.noNulls && r.isNull[0]);
  }
View Full Code Here
TOP

Related Classes of org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector

  • org.apache.hadoop.hive.common.type.Decimal128
  • org.apache.hadoop.hive.common.type.HiveDecimal
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFMaxDecimal
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFMinDecimal
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFStdPopDecimal
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFStdSampDecimal
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFVarPopDecimal
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFVarSampDecimal
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.VectorUDAFAvgDecimal
  • org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.VectorUDAFSumDecimal
    • Copyright © 2018 www.massapicom. All rights reserved.
    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.