Examples with ExecutionStatistics com.linkedin.pinot.core.operator.ExecutionStatistics used on opensource projects

Example 1 with ExecutionStatistics

use of com.linkedin.pinot.core.operator.ExecutionStatistics in project pinot by linkedin.

the class AggregationOperator method getNextBlock.

@Override
public Block getNextBlock() {
    int numDocsScanned = 0;
    // Perform aggregation on all the blocks.
    AggregationExecutor aggregationExecutor = new DefaultAggregationExecutor(_aggregationFunctionContexts);
    aggregationExecutor.init();
    TransformBlock transformBlock;
    while ((transformBlock = (TransformBlock) _transformOperator.nextBlock()) != null) {
        numDocsScanned += transformBlock.getNumDocs();
        aggregationExecutor.aggregate(transformBlock);
    }
    aggregationExecutor.finish();
    // Create execution statistics.
    long numEntriesScannedInFilter = _transformOperator.getExecutionStatistics().getNumEntriesScannedInFilter();
    long numEntriesScannedPostFilter = numDocsScanned * _transformOperator.getNumProjectionColumns();
    _executionStatistics = new ExecutionStatistics(numDocsScanned, numEntriesScannedInFilter, numEntriesScannedPostFilter, _numTotalRawDocs);
    // Build intermediate result block based on aggregation result from the executor.
    return new IntermediateResultsBlock(_aggregationFunctionContexts, aggregationExecutor.getResult(), false);
}

Example 2 with ExecutionStatistics

use of com.linkedin.pinot.core.operator.ExecutionStatistics in project pinot by linkedin.

the class MSelectionOnlyOperator method getNextBlock.

@Override
public Block getNextBlock() {
    int numDocsScanned = 0;
    ProjectionBlock projectionBlock;
    while ((projectionBlock = (ProjectionBlock) _projectionOperator.nextBlock()) != null) {
        for (int i = 0; i < _dataSchema.size(); i++) {
            _blocks[i] = projectionBlock.getBlock(_dataSchema.getColumnName(i));
        }
        SelectionFetcher selectionFetcher = new SelectionFetcher(_blocks, _dataSchema);
        DocIdSetBlock docIdSetBlock = projectionBlock.getDocIdSetBlock();
        int numDocsToFetch = Math.min(docIdSetBlock.getSearchableLength(), _limitDocs - _rowEvents.size());
        numDocsScanned += numDocsToFetch;
        int[] docIdSet = docIdSetBlock.getDocIdSet();
        for (int i = 0; i < numDocsToFetch; i++) {
            _rowEvents.add(selectionFetcher.getRow(docIdSet[i]));
        }
        if (_rowEvents.size() == _limitDocs) {
            break;
        }
    }
    // Create execution statistics.
    long numEntriesScannedInFilter = _projectionOperator.getExecutionStatistics().getNumEntriesScannedInFilter();
    long numEntriesScannedPostFilter = numDocsScanned * _projectionOperator.getNumProjectionColumns();
    long numTotalRawDocs = _indexSegment.getSegmentMetadata().getTotalRawDocs();
    _executionStatistics = new ExecutionStatistics(numDocsScanned, numEntriesScannedInFilter, numEntriesScannedPostFilter, numTotalRawDocs);
    return new IntermediateResultsBlock(_dataSchema, _rowEvents);
}

Example 3 with ExecutionStatistics

use of com.linkedin.pinot.core.operator.ExecutionStatistics in project pinot by linkedin.

the class InnerSegmentAggregationMultiValueQueriesTest method testMediumAggregationGroupBy.

@Test
public void testMediumAggregationGroupBy() {
    String query = "SELECT" + AGGREGATION + " FROM testTable" + MEDIUM_GROUP_BY;
    // NOTE: here we assume the first group key returned from the iterator is constant.
    // Test query without filter.
    AggregationGroupByOperator aggregationGroupByOperator = getOperatorForQuery(query);
    IntermediateResultsBlock resultsBlock = (IntermediateResultsBlock) aggregationGroupByOperator.nextBlock();
    ExecutionStatistics executionStatistics = aggregationGroupByOperator.getExecutionStatistics();
    Assert.assertEquals(executionStatistics.getNumDocsScanned(), 100000L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedInFilter(), 0L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedPostFilter(), 700000L);
    Assert.assertEquals(executionStatistics.getNumTotalRawDocs(), 100000L);
    AggregationGroupByResult aggregationGroupByResult = resultsBlock.getAggregationGroupByResult();
    GroupKeyGenerator.GroupKey firstGroupKey = aggregationGroupByResult.getGroupKeyIterator().next();
    Assert.assertEquals(firstGroupKey.getStringKey(), "w\t3836469\t204");
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 0)).longValue(), 1L);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 1)).longValue(), 1415527660L);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 2)).intValue(), 1747635671);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 3)).intValue(), 1298457813);
    AvgPair avgResult = (AvgPair) aggregationGroupByResult.getResultForKey(firstGroupKey, 4);
    Assert.assertEquals((long) avgResult.getSum(), 1235208236L);
    Assert.assertEquals(avgResult.getCount(), 1L);
    // Test query with filter.
    aggregationGroupByOperator = getOperatorForQueryWithFilter(query);
    resultsBlock = (IntermediateResultsBlock) aggregationGroupByOperator.nextBlock();
    executionStatistics = aggregationGroupByOperator.getExecutionStatistics();
    Assert.assertEquals(executionStatistics.getNumDocsScanned(), 15620L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedInFilter(), 282430L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedPostFilter(), 109340L);
    Assert.assertEquals(executionStatistics.getNumTotalRawDocs(), 100000L);
    aggregationGroupByResult = resultsBlock.getAggregationGroupByResult();
    firstGroupKey = aggregationGroupByResult.getGroupKeyIterator().next();
    Assert.assertEquals(firstGroupKey.getStringKey(), "L\t1483645\t2147483647");
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 0)).longValue(), 1L);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 1)).longValue(), 650650103L);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 2)).intValue(), 108417107);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 3)).intValue(), 674022574);
    avgResult = (AvgPair) aggregationGroupByResult.getResultForKey(firstGroupKey, 4);
    Assert.assertEquals((long) avgResult.getSum(), 674022574L);
    Assert.assertEquals(avgResult.getCount(), 1L);
}

Example 4 with ExecutionStatistics

use of com.linkedin.pinot.core.operator.ExecutionStatistics in project pinot by linkedin.

the class InnerSegmentAggregationMultiValueQueriesTest method testLargeAggregationGroupBy.

@Test
public void testLargeAggregationGroupBy() {
    String query = "SELECT" + AGGREGATION + " FROM testTable" + LARGE_GROUP_BY;
    // NOTE: here we assume the first group key returned from the iterator is constant.
    // Test query without filter.
    AggregationGroupByOperator aggregationGroupByOperator = getOperatorForQuery(query);
    IntermediateResultsBlock resultsBlock = (IntermediateResultsBlock) aggregationGroupByOperator.nextBlock();
    ExecutionStatistics executionStatistics = aggregationGroupByOperator.getExecutionStatistics();
    Assert.assertEquals(executionStatistics.getNumDocsScanned(), 100000L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedInFilter(), 0L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedPostFilter(), 700000L);
    Assert.assertEquals(executionStatistics.getNumTotalRawDocs(), 100000L);
    AggregationGroupByResult aggregationGroupByResult = resultsBlock.getAggregationGroupByResult();
    GroupKeyGenerator.GroupKey firstGroupKey = aggregationGroupByResult.getGroupKeyIterator().next();
    Assert.assertEquals(firstGroupKey.getStringKey(), "1118965780\t1848116124\t8599\t504\t1597666851\t675163196\t607034543");
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 0)).longValue(), 1L);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 1)).longValue(), 1118965780L);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 2)).intValue(), 1848116124);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 3)).intValue(), 1597666851);
    AvgPair avgResult = (AvgPair) aggregationGroupByResult.getResultForKey(firstGroupKey, 4);
    Assert.assertEquals((long) avgResult.getSum(), 675163196L);
    Assert.assertEquals(avgResult.getCount(), 1L);
    // Test query with filter.
    aggregationGroupByOperator = getOperatorForQueryWithFilter(query);
    resultsBlock = (IntermediateResultsBlock) aggregationGroupByOperator.nextBlock();
    executionStatistics = aggregationGroupByOperator.getExecutionStatistics();
    Assert.assertEquals(executionStatistics.getNumDocsScanned(), 15620L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedInFilter(), 282430L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedPostFilter(), 109340L);
    Assert.assertEquals(executionStatistics.getNumTotalRawDocs(), 100000L);
    aggregationGroupByResult = resultsBlock.getAggregationGroupByResult();
    firstGroupKey = aggregationGroupByResult.getGroupKeyIterator().next();
    Assert.assertEquals(firstGroupKey.getStringKey(), "949960647\t238753654\t2147483647\t2147483647\t674022574\t674022574\t674022574");
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 0)).longValue(), 2L);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 1)).longValue(), 1899921294L);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 2)).intValue(), 238753654);
    Assert.assertEquals(((Number) aggregationGroupByResult.getResultForKey(firstGroupKey, 3)).intValue(), 674022574);
    avgResult = (AvgPair) aggregationGroupByResult.getResultForKey(firstGroupKey, 4);
    Assert.assertEquals((long) avgResult.getSum(), 1348045148L);
    Assert.assertEquals(avgResult.getCount(), 2L);
}

Example 5 with ExecutionStatistics

use of com.linkedin.pinot.core.operator.ExecutionStatistics in project pinot by linkedin.

the class InnerSegmentAggregationMultiValueQueriesTest method testMultiValueAggregationOnly.

@Test
public void testMultiValueAggregationOnly() {
    String query = "SELECT" + MULTI_VALUE_AGGREGATION + " FROM testTable";
    // Test query without filter.
    AggregationOperator aggregationOperator = getOperatorForQuery(query);
    IntermediateResultsBlock resultsBlock = (IntermediateResultsBlock) aggregationOperator.nextBlock();
    ExecutionStatistics executionStatistics = aggregationOperator.getExecutionStatistics();
    Assert.assertEquals(executionStatistics.getNumDocsScanned(), 100000L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedInFilter(), 0L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedPostFilter(), 200000L);
    Assert.assertEquals(executionStatistics.getNumTotalRawDocs(), 100000L);
    List<Object> aggregationResult = resultsBlock.getAggregationResult();
    Assert.assertEquals(((Number) aggregationResult.get(0)).longValue(), 106688L);
    Assert.assertEquals(((Number) aggregationResult.get(1)).longValue(), 107243218420671L);
    Assert.assertEquals(((Number) aggregationResult.get(2)).intValue(), 2147483647);
    Assert.assertEquals(((Number) aggregationResult.get(3)).intValue(), 201);
    AvgPair avgResult = (AvgPair) aggregationResult.get(4);
    Assert.assertEquals((long) avgResult.getSum(), 121081150452570L);
    Assert.assertEquals(avgResult.getCount(), 106688L);
    // Test query with filter.
    aggregationOperator = getOperatorForQueryWithFilter(query);
    resultsBlock = (IntermediateResultsBlock) aggregationOperator.nextBlock();
    executionStatistics = aggregationOperator.getExecutionStatistics();
    Assert.assertEquals(executionStatistics.getNumDocsScanned(), 15620L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedInFilter(), 282430L);
    Assert.assertEquals(executionStatistics.getNumEntriesScannedPostFilter(), 31240L);
    Assert.assertEquals(executionStatistics.getNumTotalRawDocs(), 100000L);
    aggregationResult = resultsBlock.getAggregationResult();
    Assert.assertEquals(((Number) aggregationResult.get(0)).longValue(), 15620L);
    Assert.assertEquals(((Number) aggregationResult.get(1)).longValue(), 28567975886777L);
    Assert.assertEquals(((Number) aggregationResult.get(2)).intValue(), 2147483647);
    Assert.assertEquals(((Number) aggregationResult.get(3)).intValue(), 203);
    avgResult = (AvgPair) aggregationResult.get(4);
    Assert.assertEquals((long) avgResult.getSum(), 28663153397978L);
    Assert.assertEquals(avgResult.getCount(), 15620L);
}