Examples with INNER io.prestosql.spi.plan.JoinNode.Type.INNER used on opensource projects

Example 6 with INNER

use of io.prestosql.spi.plan.JoinNode.Type.INNER in project hetu-core by openlookeng.

the class TestDetermineJoinDistributionType method testFlipAndReplicateWhenOneTableMuchSmallerAndJoinCardinalityUnknown.

@Test
public void testFlipAndReplicateWhenOneTableMuchSmallerAndJoinCardinalityUnknown() {
    int aRows = 100;
    int bRows = 10_000;
    assertDetermineJoinDistributionType().setSystemProperty(JOIN_DISTRIBUTION_TYPE, JoinDistributionType.AUTOMATIC.name()).overrideStats("valuesA", PlanNodeStatsEstimate.builder().setOutputRowCount(aRows).addSymbolStatistics(ImmutableMap.of(new Symbol("A1"), SymbolStatsEstimate.unknown())).build()).overrideStats("valuesB", PlanNodeStatsEstimate.builder().setOutputRowCount(bRows).addSymbolStatistics(ImmutableMap.of(new Symbol("B1"), SymbolStatsEstimate.unknown())).build()).on(p -> p.join(INNER, p.values(new PlanNodeId("valuesA"), aRows, p.symbol("A1", BIGINT)), p.values(new PlanNodeId("valuesB"), bRows, p.symbol("B1", BIGINT)), ImmutableList.of(new JoinNode.EquiJoinClause(p.symbol("A1", BIGINT), p.symbol("B1", BIGINT))), ImmutableList.of(p.symbol("A1", BIGINT), p.symbol("B1", BIGINT)), Optional.empty())).matches(join(INNER, ImmutableList.of(equiJoinClause("B1", "A1")), Optional.empty(), Optional.of(REPLICATED), values(ImmutableMap.of("B1", 0)), values(ImmutableMap.of("A1", 0))));
}

Example 7 with INNER

use of io.prestosql.spi.plan.JoinNode.Type.INNER in project hetu-core by openlookeng.

the class TestDetermineJoinDistributionType method testPartitionWhenBothTablesEqual.

@Test
public void testPartitionWhenBothTablesEqual() {
    int aRows = 10_000;
    int bRows = 10_000;
    assertDetermineJoinDistributionType().setSystemProperty(JOIN_DISTRIBUTION_TYPE, JoinDistributionType.AUTOMATIC.name()).overrideStats("valuesA", PlanNodeStatsEstimate.builder().setOutputRowCount(aRows).addSymbolStatistics(ImmutableMap.of(new Symbol("A1"), new SymbolStatsEstimate(0, 100, 0, 640000, 100))).build()).overrideStats("valuesB", PlanNodeStatsEstimate.builder().setOutputRowCount(bRows).addSymbolStatistics(ImmutableMap.of(new Symbol("B1"), new SymbolStatsEstimate(0, 100, 0, 640000, 100))).build()).on(p -> p.join(INNER, p.values(new PlanNodeId("valuesA"), aRows, p.symbol("A1", BIGINT)), p.values(new PlanNodeId("valuesB"), bRows, p.symbol("B1", BIGINT)), ImmutableList.of(new JoinNode.EquiJoinClause(p.symbol("A1", BIGINT), p.symbol("B1", BIGINT))), ImmutableList.of(p.symbol("A1", BIGINT), p.symbol("B1", BIGINT)), Optional.empty())).matches(join(INNER, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(PARTITIONED), values(ImmutableMap.of("A1", 0)), values(ImmutableMap.of("B1", 0))));
}

Example 8 with INNER

use of io.prestosql.spi.plan.JoinNode.Type.INNER in project hetu-core by openlookeng.

the class TestDetermineJoinDistributionType method testReplicatesWhenNotRestricted.

@Test
public void testReplicatesWhenNotRestricted() {
    // variable width so that average row size is respected
    VarcharType symbolType = createUnboundedVarcharType();
    int aRows = 10_000;
    int bRows = 10;
    PlanNodeStatsEstimate probeSideStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(aRows).addSymbolStatistics(ImmutableMap.of(new Symbol("A1"), new SymbolStatsEstimate(0, 100, 0, 640000, 10))).build();
    PlanNodeStatsEstimate buildSideStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(bRows).addSymbolStatistics(ImmutableMap.of(new Symbol("B1"), new SymbolStatsEstimate(0, 100, 0, 640000, 10))).build();
    // B table is small enough to be replicated in AUTOMATIC_RESTRICTED mode
    assertDetermineJoinDistributionType().setSystemProperty(JOIN_DISTRIBUTION_TYPE, JoinDistributionType.AUTOMATIC.name()).setSystemProperty(JOIN_MAX_BROADCAST_TABLE_SIZE, "100MB").overrideStats("valuesA", probeSideStatsEstimate).overrideStats("valuesB", buildSideStatsEstimate).on(p -> {
        Symbol a1 = p.symbol("A1", symbolType);
        Symbol b1 = p.symbol("B1", symbolType);
        return p.join(INNER, p.values(new PlanNodeId("valuesA"), aRows, a1), p.values(new PlanNodeId("valuesB"), bRows, b1), ImmutableList.of(new JoinNode.EquiJoinClause(a1, b1)), ImmutableList.of(a1, b1), Optional.empty());
    }).matches(join(INNER, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(REPLICATED), values(ImmutableMap.of("A1", 0)), values(ImmutableMap.of("B1", 0))));
    probeSideStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(aRows).addSymbolStatistics(ImmutableMap.of(new Symbol("A1"), new SymbolStatsEstimate(0, 100, 0, 640000d * 10000, 10))).build();
    buildSideStatsEstimate = PlanNodeStatsEstimate.builder().setOutputRowCount(bRows).addSymbolStatistics(ImmutableMap.of(new Symbol("B1"), new SymbolStatsEstimate(0, 100, 0, 640000d * 10000, 10))).build();
    // B table exceeds AUTOMATIC_RESTRICTED limit therefore it is partitioned
    assertDetermineJoinDistributionType().setSystemProperty(JOIN_DISTRIBUTION_TYPE, JoinDistributionType.AUTOMATIC.name()).setSystemProperty(JOIN_MAX_BROADCAST_TABLE_SIZE, "100MB").overrideStats("valuesA", probeSideStatsEstimate).overrideStats("valuesB", buildSideStatsEstimate).on(p -> {
        Symbol a1 = p.symbol("A1", symbolType);
        Symbol b1 = p.symbol("B1", symbolType);
        return p.join(INNER, p.values(new PlanNodeId("valuesA"), aRows, a1), p.values(new PlanNodeId("valuesB"), bRows, b1), ImmutableList.of(new JoinNode.EquiJoinClause(a1, b1)), ImmutableList.of(a1, b1), Optional.empty());
    }).matches(join(INNER, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(PARTITIONED), values(ImmutableMap.of("A1", 0)), values(ImmutableMap.of("B1", 0))));
}

Example 9 with INNER

use of io.prestosql.spi.plan.JoinNode.Type.INNER in project hetu-core by openlookeng.

the class ExtractSpatialJoins method tryCreateSpatialJoin.

private static Result tryCreateSpatialJoin(Context context, JoinNode joinNode, RowExpression filter, PlanNodeId nodeId, List<Symbol> outputSymbols, CallExpression spatialFunction, Optional<RowExpression> radius, Metadata metadata, SplitManager splitManager, PageSourceManager pageSourceManager, TypeAnalyzer typeAnalyzer) {
    // TODO Add support for distributed left spatial joins
    Optional<String> spatialPartitioningTableName = joinNode.getType() == INNER ? getSpatialPartitioningTableName(context.getSession()) : Optional.empty();
    Optional<KdbTree> kdbTree = spatialPartitioningTableName.map(tableName -> loadKdbTree(tableName, context.getSession(), metadata, splitManager, pageSourceManager, nodeId));
    List<RowExpression> arguments = spatialFunction.getArguments();
    verify(arguments.size() == 2);
    RowExpression firstArgument = arguments.get(0);
    RowExpression secondArgument = arguments.get(1);
    Type sphericalGeographyType = metadata.getType(SPHERICAL_GEOGRAPHY_TYPE_SIGNATURE);
    if (firstArgument.getType().equals(sphericalGeographyType) || secondArgument.getType().equals(sphericalGeographyType)) {
        if (joinNode.getType() != INNER) {
            return Result.empty();
        }
    }
    Set<Symbol> firstSymbols = extractUnique(firstArgument);
    Set<Symbol> secondSymbols = extractUnique(secondArgument);
    if (firstSymbols.isEmpty() || secondSymbols.isEmpty()) {
        return Result.empty();
    }
    Optional<Symbol> newFirstSymbol = newGeometrySymbol(context, firstArgument);
    Optional<Symbol> newSecondSymbol = newGeometrySymbol(context, secondArgument);
    PlanNode leftNode = joinNode.getLeft();
    PlanNode rightNode = joinNode.getRight();
    PlanNode newLeftNode;
    PlanNode newRightNode;
    // Check if the order of arguments of the spatial function matches the order of join sides
    int alignment = checkAlignment(joinNode, firstSymbols, secondSymbols);
    if (alignment > 0) {
        newLeftNode = newFirstSymbol.map(symbol -> addProjection(context, leftNode, symbol, firstArgument)).orElse(leftNode);
        newRightNode = newSecondSymbol.map(symbol -> addProjection(context, rightNode, symbol, secondArgument)).orElse(rightNode);
    } else if (alignment < 0) {
        newLeftNode = newSecondSymbol.map(symbol -> addProjection(context, leftNode, symbol, secondArgument)).orElse(leftNode);
        newRightNode = newFirstSymbol.map(symbol -> addProjection(context, rightNode, symbol, firstArgument)).orElse(rightNode);
    } else {
        return Result.empty();
    }
    RowExpression newFirstArgument = mapToExpression(newFirstSymbol, firstArgument, context);
    RowExpression newSecondArgument = mapToExpression(newSecondSymbol, secondArgument, context);
    Optional<Symbol> leftPartitionSymbol = Optional.empty();
    Optional<Symbol> rightPartitionSymbol = Optional.empty();
    if (kdbTree.isPresent()) {
        leftPartitionSymbol = Optional.of(context.getSymbolAllocator().newSymbol("pid", INTEGER));
        rightPartitionSymbol = Optional.of(context.getSymbolAllocator().newSymbol("pid", INTEGER));
        if (alignment > 0) {
            newLeftNode = addPartitioningNodes(metadata, context, newLeftNode, leftPartitionSymbol.get(), kdbTree.get(), newFirstArgument, Optional.empty());
            newRightNode = addPartitioningNodes(metadata, context, newRightNode, rightPartitionSymbol.get(), kdbTree.get(), newSecondArgument, radius);
        } else {
            newLeftNode = addPartitioningNodes(metadata, context, newLeftNode, leftPartitionSymbol.get(), kdbTree.get(), newSecondArgument, Optional.empty());
            newRightNode = addPartitioningNodes(metadata, context, newRightNode, rightPartitionSymbol.get(), kdbTree.get(), newFirstArgument, radius);
        }
    }
    CallExpression newSpatialFunction = new CallExpression(spatialFunction.getDisplayName(), spatialFunction.getFunctionHandle(), spatialFunction.getType(), ImmutableList.of(newFirstArgument, newSecondArgument), Optional.empty());
    RowExpression newFilter = replaceExpression(filter, ImmutableMap.of(spatialFunction, newSpatialFunction));
    return Result.ofPlanNode(new SpatialJoinNode(nodeId, SpatialJoinNode.Type.fromJoinNodeType(joinNode.getType()), newLeftNode, newRightNode, outputSymbols, newFilter, leftPartitionSymbol, rightPartitionSymbol, kdbTree.map(KdbTreeUtils::toJson)));
}

Example 10 with INNER

use of io.prestosql.spi.plan.JoinNode.Type.INNER in project hetu-core by openlookeng.

the class TestValidateAggregationsWithDefaultValues method testWithPartialAggregationBelowJoinWithoutSeparatingExchange.

@Test(expectedExceptions = IllegalArgumentException.class, expectedExceptionsMessageRegExp = "Final aggregation with default value not separated from partial aggregation by local hash exchange")
public void testWithPartialAggregationBelowJoinWithoutSeparatingExchange() {
    Symbol symbolObj = new Symbol("symbol");
    PlanNode root = builder.aggregation(af -> af.step(FINAL).groupingSets(groupingSets(ImmutableList.of(symbolObj), 2, ImmutableSet.of(0))).source(builder.join(INNER, builder.aggregation(ap -> ap.step(PARTIAL).groupingSets(groupingSets(ImmutableList.of(symbolObj), 2, ImmutableSet.of(0))).source(tableScanNode)), builder.values())));
    validatePlan(root, true);
}