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

Example 6 with TransformBlock

use of com.linkedin.pinot.core.operator.blocks.TransformBlock in project pinot by linkedin.

the class TransformExpressionOperatorTest method evaluateExpression.

/**
   * Helper method to evaluate one expression using the TransformOperator.
   * @param expression Expression to evaluate
   * @return Result of evaluation
   */
private double[] evaluateExpression(String expression) {
    Operator filterOperator = new MatchEntireSegmentOperator(_indexSegment.getSegmentMetadata().getTotalDocs());
    final BReusableFilteredDocIdSetOperator docIdSetOperator = new BReusableFilteredDocIdSetOperator(filterOperator, _indexSegment.getSegmentMetadata().getTotalDocs(), NUM_ROWS);
    final Map<String, BaseOperator> dataSourceMap = buildDataSourceMap(_indexSegment.getSegmentMetadata().getSchema());
    final MProjectionOperator projectionOperator = new MProjectionOperator(dataSourceMap, docIdSetOperator);
    Pql2Compiler compiler = new Pql2Compiler();
    List<TransformExpressionTree> expressionTrees = new ArrayList<>(1);
    expressionTrees.add(compiler.compileToExpressionTree(expression));
    TransformExpressionOperator transformOperator = new TransformExpressionOperator(projectionOperator, expressionTrees);
    transformOperator.open();
    TransformBlock transformBlock = (TransformBlock) transformOperator.getNextBlock();
    BlockValSet blockValueSet = transformBlock.getBlockValueSet(expression);
    double[] actual = blockValueSet.getDoubleValuesSV();
    transformOperator.close();
    return actual;
}

Example 7 with TransformBlock

use of com.linkedin.pinot.core.operator.blocks.TransformBlock in project pinot by linkedin.

the class DefaultAggregationExecutorTest method testAggregation.

/**
   * Runs 'sum', 'min' & 'max' aggregation functions on the DefaultAggregationExecutor.
   * Asserts that the aggregation results returned by the executor are as expected.
   */
@Test
void testAggregation() {
    Map<String, BaseOperator> dataSourceMap = new HashMap<>();
    for (String column : _indexSegment.getColumnNames()) {
        dataSourceMap.put(column, _indexSegment.getDataSource(column));
    }
    int totalRawDocs = _indexSegment.getSegmentMetadata().getTotalRawDocs();
    MatchEntireSegmentOperator matchEntireSegmentOperator = new MatchEntireSegmentOperator(totalRawDocs);
    BReusableFilteredDocIdSetOperator docIdSetOperator = new BReusableFilteredDocIdSetOperator(matchEntireSegmentOperator, totalRawDocs, 10000);
    MProjectionOperator projectionOperator = new MProjectionOperator(dataSourceMap, docIdSetOperator);
    TransformExpressionOperator transformOperator = new TransformExpressionOperator(projectionOperator, Collections.<TransformExpressionTree>emptyList());
    TransformBlock transformBlock = (TransformBlock) transformOperator.nextBlock();
    int numAggFuncs = _aggregationInfoList.size();
    AggregationFunctionContext[] aggrFuncContextArray = new AggregationFunctionContext[numAggFuncs];
    AggregationFunctionInitializer aggFuncInitializer = new AggregationFunctionInitializer(_indexSegment.getSegmentMetadata());
    for (int i = 0; i < numAggFuncs; i++) {
        AggregationInfo aggregationInfo = _aggregationInfoList.get(i);
        aggrFuncContextArray[i] = AggregationFunctionContext.instantiate(aggregationInfo);
        aggrFuncContextArray[i].getAggregationFunction().accept(aggFuncInitializer);
    }
    AggregationExecutor aggregationExecutor = new DefaultAggregationExecutor(aggrFuncContextArray);
    aggregationExecutor.init();
    aggregationExecutor.aggregate(transformBlock);
    aggregationExecutor.finish();
    List<Object> result = aggregationExecutor.getResult();
    for (int i = 0; i < result.size(); i++) {
        double actual = (double) result.get(i);
        double expected = computeAggregation(AGGREGATION_FUNCTIONS[i], _inputData[i]);
        Assert.assertEquals(actual, expected, "Aggregation mis-match for function " + AGGREGATION_FUNCTIONS[i] + ", Expected: " + expected + " Actual: " + actual);
    }
}