Examples with Aggregation io.prestosql.spi.plan.AggregationNode.Aggregation used on opensource projects

Example 1 with Aggregation

use of io.prestosql.spi.plan.AggregationNode.Aggregation in project hetu-core by openlookeng.

the class TestEffectivePredicateExtractor method testAggregation.

@Test
public void testAggregation() {
    PlanNode node = new AggregationNode(newId(), filter(baseTableScan, and(equals(AE, DE), equals(BE, EE), equals(CE, FE), lessThan(DE, bigintLiteral(10)), lessThan(CE, DE), greaterThan(AE, bigintLiteral(2)), equals(EE, FE))), ImmutableMap.of(C, new Aggregation(new CallExpression("test", new FunctionResolution(metadata.getFunctionAndTypeManager()).countFunction(), BIGINT, ImmutableList.of()), ImmutableList.of(), false, Optional.empty(), Optional.empty(), Optional.empty()), D, new Aggregation(new CallExpression("test", new FunctionResolution(metadata.getFunctionAndTypeManager()).countFunction(), BIGINT, ImmutableList.of()), ImmutableList.of(), false, Optional.empty(), Optional.empty(), Optional.empty())), singleGroupingSet(ImmutableList.of(A, B, C)), ImmutableList.of(), AggregationNode.Step.FINAL, Optional.empty(), Optional.empty(), AggregationNode.AggregationType.HASH, Optional.empty());
    Expression effectivePredicate = effectivePredicateExtractor.extract(SESSION, node, TypeProvider.empty(), typeAnalyzer);
    // Rewrite in terms of group by symbols
    assertEquals(normalizeConjuncts(effectivePredicate), normalizeConjunctsSet(lessThan(AE, bigintLiteral(10)), lessThan(BE, AE), greaterThan(AE, bigintLiteral(2)), equals(BE, CE)));
}

Example 2 with Aggregation

use of io.prestosql.spi.plan.AggregationNode.Aggregation in project hetu-core by openlookeng.

the class AggregationStatsRule method groupBy.

public static PlanNodeStatsEstimate groupBy(PlanNodeStatsEstimate sourceStats, Collection<Symbol> groupBySymbols, Map<Symbol, Aggregation> aggregations) {
    PlanNodeStatsEstimate.Builder result = PlanNodeStatsEstimate.builder();
    for (Symbol groupBySymbol : groupBySymbols) {
        SymbolStatsEstimate symbolStatistics = sourceStats.getSymbolStatistics(groupBySymbol);
        result.addSymbolStatistics(groupBySymbol, symbolStatistics.mapNullsFraction(nullsFraction -> {
            if (nullsFraction == 0.0) {
                return 0.0;
            }
            return 1.0 / (symbolStatistics.getDistinctValuesCount() + 1);
        }));
    }
    double rowsCount = 1;
    boolean knowsStatsFound = false;
    for (Symbol groupBySymbol : groupBySymbols) {
        SymbolStatsEstimate symbolStatistics = sourceStats.getSymbolStatistics(groupBySymbol);
        if (symbolStatistics.isUnknown()) {
            // so for now we dont consider the same for overall stats calculation.
            continue;
        }
        knowsStatsFound = true;
        int nullRow = (symbolStatistics.getNullsFraction() == 0.0) ? 0 : 1;
        rowsCount *= symbolStatistics.getDistinctValuesCount() + nullRow;
    }
    if (knowsStatsFound) {
        result.setOutputRowCount(min(rowsCount, sourceStats.getOutputRowCount()));
    } else {
        // If there was no proper stats in any of the grouping symbols, we just take fixed % of source.
        result.setOutputRowCount(sourceStats.getOutputRowCount() * UNKNOWN_FILTER_COEFFICIENT);
    }
    for (Map.Entry<Symbol, Aggregation> aggregationEntry : aggregations.entrySet()) {
        result.addSymbolStatistics(aggregationEntry.getKey(), estimateAggregationStats(aggregationEntry.getValue(), sourceStats));
    }
    return result.build();
}

Example 3 with Aggregation

use of io.prestosql.spi.plan.AggregationNode.Aggregation in project hetu-core by openlookeng.

the class QueryPlanner method aggregate.

private PlanBuilder aggregate(PlanBuilder inputSubPlan, QuerySpecification node) {
    PlanBuilder subPlan = inputSubPlan;
    if (!analysis.isAggregation(node)) {
        return subPlan;
    }
    // 1. Pre-project all scalar inputs (arguments and non-trivial group by expressions)
    Set<Expression> groupByExpressions = ImmutableSet.copyOf(analysis.getGroupByExpressions(node));
    ImmutableList.Builder<Expression> arguments = ImmutableList.builder();
    analysis.getAggregates(node).stream().map(FunctionCall::getArguments).flatMap(List::stream).filter(// lambda expression is generated at execution time
    exp -> !(exp instanceof LambdaExpression)).forEach(arguments::add);
    analysis.getAggregates(node).stream().map(FunctionCall::getOrderBy).filter(Optional::isPresent).map(Optional::get).map(OrderBy::getSortItems).flatMap(List::stream).map(SortItem::getSortKey).forEach(arguments::add);
    // filter expressions need to be projected first
    analysis.getAggregates(node).stream().map(FunctionCall::getFilter).filter(Optional::isPresent).map(Optional::get).forEach(arguments::add);
    Iterable<Expression> inputs = Iterables.concat(groupByExpressions, arguments.build());
    subPlan = handleSubqueries(subPlan, node, inputs);
    if (!Iterables.isEmpty(inputs)) {
        // avoid an empty projection if the only aggregation is COUNT (which has no arguments)
        subPlan = project(subPlan, inputs);
    }
    // 2. Aggregate
    // 2.a. Rewrite aggregate arguments
    TranslationMap argumentTranslations = new TranslationMap(subPlan.getRelationPlan(), analysis, lambdaDeclarationToSymbolMap);
    ImmutableList.Builder<Symbol> aggregationArgumentsBuilder = ImmutableList.builder();
    for (Expression argument : arguments.build()) {
        Symbol symbol = subPlan.translate(argument);
        argumentTranslations.put(argument, symbol);
        aggregationArgumentsBuilder.add(symbol);
    }
    List<Symbol> aggregationArguments = aggregationArgumentsBuilder.build();
    // 2.b. Rewrite grouping columns
    TranslationMap groupingTranslations = new TranslationMap(subPlan.getRelationPlan(), analysis, lambdaDeclarationToSymbolMap);
    Map<Symbol, Symbol> groupingSetMappings = new LinkedHashMap<>();
    for (Expression expression : groupByExpressions) {
        Symbol input = subPlan.translate(expression);
        Symbol output = planSymbolAllocator.newSymbol(expression, analysis.getTypeWithCoercions(expression), "gid");
        groupingTranslations.put(expression, output);
        groupingSetMappings.put(output, input);
    }
    // This tracks the grouping sets before complex expressions are considered (see comments below)
    // It's also used to compute the descriptors needed to implement grouping()
    List<Set<FieldId>> columnOnlyGroupingSets = ImmutableList.of(ImmutableSet.of());
    List<List<Symbol>> groupingSets = ImmutableList.of(ImmutableList.of());
    if (node.getGroupBy().isPresent()) {
        // For the purpose of "distinct", we need to canonicalize column references that may have varying
        // syntactic forms (e.g., "t.a" vs "a"). Thus we need to enumerate grouping sets based on the underlying
        // fieldId associated with each column reference expression.
        // The catch is that simple group-by expressions can be arbitrary expressions (this is a departure from the SQL specification).
        // But, they don't affect the number of grouping sets or the behavior of "distinct" . We can compute all the candidate
        // grouping sets in terms of fieldId, dedup as appropriate and then cross-join them with the complex expressions.
        Analysis.GroupingSetAnalysis groupingSetAnalysis = analysis.getGroupingSets(node);
        columnOnlyGroupingSets = enumerateGroupingSets(groupingSetAnalysis);
        if (node.getGroupBy().get().isDistinct()) {
            columnOnlyGroupingSets = columnOnlyGroupingSets.stream().distinct().collect(toImmutableList());
        }
        // add in the complex expressions an turn materialize the grouping sets in terms of plan columns
        ImmutableList.Builder<List<Symbol>> groupingSetBuilder = ImmutableList.builder();
        for (Set<FieldId> groupingSet : columnOnlyGroupingSets) {
            ImmutableList.Builder<Symbol> columns = ImmutableList.builder();
            groupingSetAnalysis.getComplexExpressions().stream().map(groupingTranslations::get).forEach(columns::add);
            groupingSet.stream().map(field -> groupingTranslations.get(new FieldReference(field.getFieldIndex()))).forEach(columns::add);
            groupingSetBuilder.add(columns.build());
        }
        groupingSets = groupingSetBuilder.build();
    }
    // 2.c. Generate GroupIdNode (multiple grouping sets) or ProjectNode (single grouping set)
    Optional<Symbol> groupIdSymbol = Optional.empty();
    if (groupingSets.size() > 1) {
        groupIdSymbol = Optional.of(planSymbolAllocator.newSymbol("groupId", BIGINT));
        GroupIdNode groupId = new GroupIdNode(idAllocator.getNextId(), subPlan.getRoot(), groupingSets, groupingSetMappings, aggregationArguments, groupIdSymbol.get());
        subPlan = new PlanBuilder(groupingTranslations, groupId);
    } else {
        Assignments.Builder assignments = Assignments.builder();
        aggregationArguments.forEach(symbol -> assignments.put(symbol, castToRowExpression(toSymbolReference(symbol))));
        groupingSetMappings.forEach((key, value) -> assignments.put(key, castToRowExpression(toSymbolReference(value))));
        ProjectNode project = new ProjectNode(idAllocator.getNextId(), subPlan.getRoot(), assignments.build());
        subPlan = new PlanBuilder(groupingTranslations, project);
    }
    TranslationMap aggregationTranslations = new TranslationMap(subPlan.getRelationPlan(), analysis, lambdaDeclarationToSymbolMap);
    aggregationTranslations.copyMappingsFrom(groupingTranslations);
    // 2.d. Rewrite aggregates
    ImmutableMap.Builder<Symbol, Aggregation> aggregationsBuilder = ImmutableMap.builder();
    boolean needPostProjectionCoercion = false;
    for (FunctionCall aggregate : analysis.getAggregates(node)) {
        Expression rewritten = argumentTranslations.rewrite(aggregate);
        Symbol newSymbol = planSymbolAllocator.newSymbol(rewritten, analysis.getType(aggregate));
        // Therefore we can end up with this implicit cast, and have to move it into a post-projection
        if (rewritten instanceof Cast) {
            rewritten = ((Cast) rewritten).getExpression();
            needPostProjectionCoercion = true;
        }
        aggregationTranslations.put(aggregate, newSymbol);
        FunctionCall functionCall = (FunctionCall) rewritten;
        aggregationsBuilder.put(newSymbol, new Aggregation(call(aggregate.getName().getSuffix(), analysis.getFunctionHandle(aggregate), analysis.getType(aggregate), functionCall.getArguments().stream().map(OriginalExpressionUtils::castToRowExpression).collect(toImmutableList())), functionCall.getArguments().stream().map(OriginalExpressionUtils::castToRowExpression).collect(toImmutableList()), functionCall.isDistinct(), functionCall.getFilter().map(SymbolUtils::from), functionCall.getOrderBy().map(OrderingSchemeUtils::fromOrderBy), Optional.empty()));
    }
    Map<Symbol, Aggregation> aggregations = aggregationsBuilder.build();
    ImmutableSet.Builder<Integer> globalGroupingSets = ImmutableSet.builder();
    for (int i = 0; i < groupingSets.size(); i++) {
        if (groupingSets.get(i).isEmpty()) {
            globalGroupingSets.add(i);
        }
    }
    ImmutableList.Builder<Symbol> groupingKeys = ImmutableList.builder();
    groupingSets.stream().flatMap(List::stream).distinct().forEach(groupingKeys::add);
    groupIdSymbol.ifPresent(groupingKeys::add);
    AggregationNode aggregationNode = new AggregationNode(idAllocator.getNextId(), subPlan.getRoot(), aggregations, groupingSets(groupingKeys.build(), groupingSets.size(), globalGroupingSets.build()), ImmutableList.of(), AggregationNode.Step.SINGLE, Optional.empty(), groupIdSymbol, AggregationNode.AggregationType.HASH, Optional.empty());
    subPlan = new PlanBuilder(aggregationTranslations, aggregationNode);
    // TODO: this is a hack, we should change type coercions to coerce the inputs to functions/operators instead of coercing the output
    if (needPostProjectionCoercion) {
        ImmutableList.Builder<Expression> alreadyCoerced = ImmutableList.builder();
        alreadyCoerced.addAll(groupByExpressions);
        groupIdSymbol.map(SymbolUtils::toSymbolReference).ifPresent(alreadyCoerced::add);
        subPlan = explicitCoercionFields(subPlan, alreadyCoerced.build(), analysis.getAggregates(node));
    }
    // 4. Project and re-write all grouping functions
    return handleGroupingOperations(subPlan, node, groupIdSymbol, columnOnlyGroupingSets);
}

Example 4 with Aggregation

use of io.prestosql.spi.plan.AggregationNode.Aggregation in project hetu-core by openlookeng.

the class ImplementFilteredAggregations method apply.

@Override
public Result apply(AggregationNode aggregationNode, Captures captures, Context context) {
    Assignments.Builder newAssignments = Assignments.builder();
    ImmutableMap.Builder<Symbol, Aggregation> aggregations = ImmutableMap.builder();
    ImmutableList.Builder<Expression> maskSymbols = ImmutableList.builder();
    boolean aggregateWithoutFilterPresent = false;
    for (Map.Entry<Symbol, Aggregation> entry : aggregationNode.getAggregations().entrySet()) {
        Symbol output = entry.getKey();
        // strip the filters
        Aggregation aggregation = entry.getValue();
        Optional<Symbol> mask = aggregation.getMask();
        if (aggregation.getFilter().isPresent()) {
            Symbol filter = aggregation.getFilter().get();
            Symbol symbol = context.getSymbolAllocator().newSymbol(filter.getName(), BOOLEAN);
            verify(!mask.isPresent(), "Expected aggregation without mask symbols, see Rule pattern");
            newAssignments.put(symbol, castToRowExpression(toSymbolReference(filter)));
            mask = Optional.of(symbol);
            maskSymbols.add(toSymbolReference(symbol));
        } else {
            aggregateWithoutFilterPresent = true;
        }
        aggregations.put(output, new Aggregation(aggregation.getFunctionCall(), aggregation.getArguments(), aggregation.isDistinct(), Optional.empty(), aggregation.getOrderingScheme(), mask));
    }
    Expression predicate = TRUE_LITERAL;
    if (!aggregationNode.hasNonEmptyGroupingSet() && !aggregateWithoutFilterPresent) {
        predicate = combineDisjunctsWithDefault(maskSymbols.build(), TRUE_LITERAL);
    }
    // identity projection for all existing inputs
    newAssignments.putAll(AssignmentUtils.identityAsSymbolReferences(aggregationNode.getSource().getOutputSymbols()));
    return Result.ofPlanNode(new AggregationNode(context.getIdAllocator().getNextId(), new FilterNode(context.getIdAllocator().getNextId(), new ProjectNode(context.getIdAllocator().getNextId(), aggregationNode.getSource(), newAssignments.build()), castToRowExpression(predicate)), aggregations.build(), aggregationNode.getGroupingSets(), ImmutableList.of(), aggregationNode.getStep(), aggregationNode.getHashSymbol(), aggregationNode.getGroupIdSymbol(), aggregationNode.getAggregationType(), aggregationNode.getFinalizeSymbol()));
}

Example 5 with Aggregation

use of io.prestosql.spi.plan.AggregationNode.Aggregation in project hetu-core by openlookeng.

the class SingleDistinctAggregationToGroupBy method apply.

@Override
public Result apply(AggregationNode aggregation, Captures captures, Context context) {
    List<Set<Expression>> argumentSets = extractArgumentSets(aggregation).collect(Collectors.toList());
    Set<Symbol> symbols = Iterables.getOnlyElement(argumentSets).stream().map(SymbolUtils::from).collect(Collectors.toSet());
    return Result.ofPlanNode(new AggregationNode(aggregation.getId(), new AggregationNode(context.getIdAllocator().getNextId(), aggregation.getSource(), ImmutableMap.of(), singleGroupingSet(ImmutableList.<Symbol>builder().addAll(aggregation.getGroupingKeys()).addAll(symbols).build()), ImmutableList.of(), SINGLE, Optional.empty(), Optional.empty(), aggregation.getAggregationType(), aggregation.getFinalizeSymbol()), // remove DISTINCT flag from function calls
    aggregation.getAggregations().entrySet().stream().collect(Collectors.toMap(Map.Entry::getKey, e -> removeDistinct(e.getValue()))), aggregation.getGroupingSets(), emptyList(), aggregation.getStep(), aggregation.getHashSymbol(), aggregation.getGroupIdSymbol(), aggregation.getAggregationType(), aggregation.getFinalizeSymbol()));
}