use of org.apache.drill.exec.physical.impl.aggregate.StreamingAggBatch in project drill by apache.
the class TestStreamingAggEmitOutcome method t10_testStreamingAggrWithEmptyDataSet.
@Test
public void t10_testStreamingAggrWithEmptyDataSet() {
inputContainer.add(emptyInputRowSet.container());
inputOutcomes.add(RecordBatch.IterOutcome.OK_NEW_SCHEMA);
final MockRecordBatch mockInputBatch = new MockRecordBatch(operatorFixture.getFragmentContext(), opContext, inputContainer, inputOutcomes, emptyInputRowSet.container().getSchema());
final StreamingAggregate streamAggrConfig = new StreamingAggregate(null, parseExprs("name_left", "name"), parseExprs("sum(id_left+cost_left)", "total_sum"));
final StreamingAggBatch strAggBatch = new StreamingAggBatch(streamAggrConfig, mockInputBatch, operatorFixture.getFragmentContext());
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK_NEW_SCHEMA);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.NONE);
}
use of org.apache.drill.exec.physical.impl.aggregate.StreamingAggBatch in project drill by apache.
the class TestStreamingAggEmitOutcome method t16_testStreamingAggrOkFollowedByNone.
/**
* Repeats t6_testStreamingAggrOkFollowedByNone with no group by
*/
@Test
public void t16_testStreamingAggrOkFollowedByNone() {
final RowSet.SingleRowSet nonEmptyInputRowSet2 = operatorFixture.rowSetBuilder(inputSchema).addRow(2, 20, "item2").addRow(3, 30, "item3").addRow(4, 40, "item4").addRow(4, 40, "item4").addRow(5, 50, "item5").addRow(5, 50, "item5").build();
final RowSet.SingleRowSet expectedRowSet1 = operatorFixture.rowSetBuilder(resultSchemaNoGroupBy).addRow((long) 11).build();
final RowSet.SingleRowSet expectedRowSet2 = operatorFixture.rowSetBuilder(resultSchemaNoGroupBy).addRow((long) 253).build();
inputContainer.add(emptyInputRowSet.container());
inputContainer.add(nonEmptyInputRowSet.container());
inputContainer.add(emptyInputRowSet.container());
inputContainer.add(nonEmptyInputRowSet2.container());
inputOutcomes.add(RecordBatch.IterOutcome.OK_NEW_SCHEMA);
inputOutcomes.add(RecordBatch.IterOutcome.OK_NEW_SCHEMA);
inputOutcomes.add(RecordBatch.IterOutcome.EMIT);
inputOutcomes.add(RecordBatch.IterOutcome.OK);
final MockRecordBatch mockInputBatch = new MockRecordBatch(operatorFixture.getFragmentContext(), opContext, inputContainer, inputOutcomes, emptyInputRowSet.container().getSchema());
final StreamingAggregate streamAggrConfig = new StreamingAggregate(null, new ArrayList<NamedExpression>(), parseExprs("sum(id_left+cost_left)", "total_sum"));
final StreamingAggBatch strAggBatch = new StreamingAggBatch(streamAggrConfig, mockInputBatch, operatorFixture.getFragmentContext());
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK_NEW_SCHEMA);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK_NEW_SCHEMA);
assertEquals(1, strAggBatch.getRecordCount());
RowSet actualRowSet = DirectRowSet.fromContainer(strAggBatch.getContainer());
new RowSetComparison(expectedRowSet1).verify(actualRowSet);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.EMIT);
assertEquals(0, strAggBatch.getRecordCount());
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK);
assertEquals(1, strAggBatch.getRecordCount());
actualRowSet = DirectRowSet.fromContainer(strAggBatch.getContainer());
new RowSetComparison(expectedRowSet2).verify(actualRowSet);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.NONE);
// Release memory for row sets
nonEmptyInputRowSet2.clear();
expectedRowSet2.clear();
expectedRowSet1.clear();
}
use of org.apache.drill.exec.physical.impl.aggregate.StreamingAggBatch in project drill by apache.
the class TestStreamingAggEmitOutcome method t9_testStreamingAgr_WithEmptyNonEmptyBatchesAndOKOutcome.
/**
***************************************************************************************
* Tests for validating regular StreamingAggr behavior with no EMIT outcome
*****************************************************************************************
*/
@Test
public void t9_testStreamingAgr_WithEmptyNonEmptyBatchesAndOKOutcome() {
final RowSet.SingleRowSet nonEmptyInputRowSet2 = operatorFixture.rowSetBuilder(inputSchema).addRow(2, 20, "item1").addRow(13, 130, "item13").addRow(13, 130, "item13").addRow(13, 130, "item13").addRow(130, 1300, "item130").addRow(0, 0, "item130").build();
final RowSet.SingleRowSet nonEmptyInputRowSet3 = operatorFixture.rowSetBuilder(inputSchema).addRow(23, 230, "item23").addRow(3, 33, "item3").addRow(7, 70, "item7").addRow(17, 170, "item7").build();
final RowSet.SingleRowSet expectedRowSet = operatorFixture.rowSetBuilder(resultSchema).addRow("item1", (long) 33).addRow("item13", (long) 429).addRow("item130", (long) 1430).addRow("item23", (long) 253).addRow("item3", (long) 36).addRow("item7", (long) 264).build();
inputContainer.add(emptyInputRowSet.container());
inputContainer.add(nonEmptyInputRowSet.container());
inputContainer.add(emptyInputRowSet.container());
inputContainer.add(nonEmptyInputRowSet2.container());
inputContainer.add(emptyInputRowSet.container());
inputContainer.add(nonEmptyInputRowSet3.container());
inputContainer.add(emptyInputRowSet.container());
inputOutcomes.add(RecordBatch.IterOutcome.OK_NEW_SCHEMA);
inputOutcomes.add(RecordBatch.IterOutcome.OK_NEW_SCHEMA);
inputOutcomes.add(RecordBatch.IterOutcome.OK);
inputOutcomes.add(RecordBatch.IterOutcome.OK);
inputOutcomes.add(RecordBatch.IterOutcome.OK);
inputOutcomes.add(RecordBatch.IterOutcome.OK);
inputOutcomes.add(RecordBatch.IterOutcome.OK);
final MockRecordBatch mockInputBatch = new MockRecordBatch(operatorFixture.getFragmentContext(), opContext, inputContainer, inputOutcomes, emptyInputRowSet.container().getSchema());
final StreamingAggregate streamAggrConfig = new StreamingAggregate(null, parseExprs("name_left", "name"), parseExprs("sum(id_left+cost_left)", "total_sum"));
final StreamingAggBatch strAggBatch = new StreamingAggBatch(streamAggrConfig, mockInputBatch, operatorFixture.getFragmentContext());
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK_NEW_SCHEMA);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK_NEW_SCHEMA);
assertEquals(6, strAggBatch.getRecordCount());
RowSet actualRowSet = DirectRowSet.fromContainer(strAggBatch.getContainer());
new RowSetComparison(expectedRowSet).verify(actualRowSet);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.NONE);
nonEmptyInputRowSet2.clear();
nonEmptyInputRowSet3.clear();
expectedRowSet.clear();
}
use of org.apache.drill.exec.physical.impl.aggregate.StreamingAggBatch in project drill by apache.
the class TestStreamingAggEmitOutcome method t8_testStreamingAggrMultipleInputToSingleOutputBatch.
/**
*/
@Test
public void t8_testStreamingAggrMultipleInputToSingleOutputBatch() {
final RowSet.SingleRowSet nonEmptyInputRowSet2 = operatorFixture.rowSetBuilder(inputSchema).addRow(2, 20, "item2").build();
final RowSet.SingleRowSet expectedRowSet = operatorFixture.rowSetBuilder(resultSchema).addRow("item1", (long) 11).addRow("item2", (long) 22).build();
inputContainer.add(emptyInputRowSet.container());
inputContainer.add(nonEmptyInputRowSet.container());
inputContainer.add(emptyInputRowSet.container());
inputContainer.add(nonEmptyInputRowSet2.container());
inputContainer.add(emptyInputRowSet.container());
inputOutcomes.add(RecordBatch.IterOutcome.OK_NEW_SCHEMA);
inputOutcomes.add(RecordBatch.IterOutcome.OK_NEW_SCHEMA);
inputOutcomes.add(RecordBatch.IterOutcome.OK);
inputOutcomes.add(RecordBatch.IterOutcome.OK);
inputOutcomes.add(RecordBatch.IterOutcome.EMIT);
final MockRecordBatch mockInputBatch = new MockRecordBatch(operatorFixture.getFragmentContext(), opContext, inputContainer, inputOutcomes, emptyInputRowSet.container().getSchema());
final StreamingAggregate streamAggrConfig = new StreamingAggregate(null, parseExprs("name_left", "name"), parseExprs("sum(id_left+cost_left)", "total_sum"));
final StreamingAggBatch strAggBatch = new StreamingAggBatch(streamAggrConfig, mockInputBatch, operatorFixture.getFragmentContext());
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK_NEW_SCHEMA);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK_NEW_SCHEMA);
assertEquals(2, strAggBatch.getRecordCount());
RowSet actualRowSet = DirectRowSet.fromContainer(strAggBatch.getContainer());
new RowSetComparison(expectedRowSet).verify(actualRowSet);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.EMIT);
assertEquals(0, strAggBatch.getRecordCount());
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.NONE);
nonEmptyInputRowSet2.clear();
}
use of org.apache.drill.exec.physical.impl.aggregate.StreamingAggBatch in project drill by apache.
the class TestStreamingAggEmitOutcome method t1_testStreamingAggrEmptyBatchEmitOutcome.
/**
* Verifies that if StreamingAggBatch receives empty batches with OK_NEW_SCHEMA and EMIT outcome then it correctly produces
* empty batches as output. First empty batch will be with OK_NEW_SCHEMA and second will be with EMIT outcome.
*/
@Test
public void t1_testStreamingAggrEmptyBatchEmitOutcome() {
inputContainer.add(emptyInputRowSet.container());
inputContainer.add(emptyInputRowSet.container());
inputContainer.add(emptyInputRowSet.container());
inputOutcomes.add(OK_NEW_SCHEMA);
inputOutcomes.add(OK_NEW_SCHEMA);
inputOutcomes.add(EMIT);
final MockRecordBatch mockInputBatch = new MockRecordBatch(operatorFixture.getFragmentContext(), opContext, inputContainer, inputOutcomes, emptyInputRowSet.container().getSchema());
final StreamingAggregate streamAggrConfig = new StreamingAggregate(null, parseExprs("name_left", "name"), parseExprs("sum(id_left+cost_left)", "total_sum"));
final StreamingAggBatch strAggBatch = new StreamingAggBatch(streamAggrConfig, mockInputBatch, operatorFixture.getFragmentContext());
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK_NEW_SCHEMA);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.OK_NEW_SCHEMA);
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.EMIT);
assertEquals(0, strAggBatch.getRecordCount());
assertTrue(strAggBatch.next() == RecordBatch.IterOutcome.NONE);
}
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