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Example 1 with RIGHT

use of io.trino.sql.planner.plan.JoinNode.Type.RIGHT in project trino by trinodb.

the class PushJoinIntoTableScan method apply.

@Override
public Result apply(JoinNode joinNode, Captures captures, Context context) {
    if (joinNode.isCrossJoin()) {
        return Result.empty();
    }
    TableScanNode left = captures.get(LEFT_TABLE_SCAN);
    TableScanNode right = captures.get(RIGHT_TABLE_SCAN);
    verify(!left.isUpdateTarget() && !right.isUpdateTarget(), "Unexpected Join over for-update table scan");
    Expression effectiveFilter = getEffectiveFilter(joinNode);
    FilterSplitResult filterSplitResult = splitFilter(effectiveFilter, left.getOutputSymbols(), right.getOutputSymbols(), context);
    if (!filterSplitResult.getRemainingFilter().equals(BooleanLiteral.TRUE_LITERAL)) {
        // TODO add extra filter node above join
        return Result.empty();
    }
    if (left.getEnforcedConstraint().isNone() || right.getEnforcedConstraint().isNone()) {
        // enforced constraint harder below.
        return Result.empty();
    }
    Map<String, ColumnHandle> leftAssignments = left.getAssignments().entrySet().stream().collect(toImmutableMap(entry -> entry.getKey().getName(), Map.Entry::getValue));
    Map<String, ColumnHandle> rightAssignments = right.getAssignments().entrySet().stream().collect(toImmutableMap(entry -> entry.getKey().getName(), Map.Entry::getValue));
    /*
         * We are (lazily) computing estimated statistics for join node and left and right table
         * and passing those to connector via applyJoin.
         *
         * There are a couple reasons for this approach:
         * - the engine knows how to estimate join and connector may not
         * - the engine may have cached stats for the table scans (within context.getStatsProvider()), so can be able to provide information more inexpensively
         * - in the future, the engine may be able to provide stats for table scan even in case when connector no longer can (see https://github.com/trinodb/trino/issues/6998)
         * - the pushdown feasibility assessment logic may be different (or configured differently) for different connectors/catalogs.
         */
    JoinStatistics joinStatistics = getJoinStatistics(joinNode, left, right, context);
    Optional<JoinApplicationResult<TableHandle>> joinApplicationResult = metadata.applyJoin(context.getSession(), getJoinType(joinNode), left.getTable(), right.getTable(), filterSplitResult.getPushableConditions(), // TODO we could pass only subset of assignments here, those which are needed to resolve filterSplitResult.getPushableConditions
    leftAssignments, rightAssignments, joinStatistics);
    if (joinApplicationResult.isEmpty()) {
        return Result.empty();
    }
    TableHandle handle = joinApplicationResult.get().getTableHandle();
    Map<ColumnHandle, ColumnHandle> leftColumnHandlesMapping = joinApplicationResult.get().getLeftColumnHandles();
    Map<ColumnHandle, ColumnHandle> rightColumnHandlesMapping = joinApplicationResult.get().getRightColumnHandles();
    ImmutableMap.Builder<Symbol, ColumnHandle> assignmentsBuilder = ImmutableMap.builder();
    assignmentsBuilder.putAll(left.getAssignments().entrySet().stream().collect(toImmutableMap(Map.Entry::getKey, entry -> leftColumnHandlesMapping.get(entry.getValue()))));
    assignmentsBuilder.putAll(right.getAssignments().entrySet().stream().collect(toImmutableMap(Map.Entry::getKey, entry -> rightColumnHandlesMapping.get(entry.getValue()))));
    Map<Symbol, ColumnHandle> assignments = assignmentsBuilder.buildOrThrow();
    // convert enforced constraint
    JoinNode.Type joinType = joinNode.getType();
    TupleDomain<ColumnHandle> leftConstraint = deriveConstraint(left.getEnforcedConstraint(), leftColumnHandlesMapping, joinType == RIGHT || joinType == FULL);
    TupleDomain<ColumnHandle> rightConstraint = deriveConstraint(right.getEnforcedConstraint(), rightColumnHandlesMapping, joinType == LEFT || joinType == FULL);
    TupleDomain<ColumnHandle> newEnforcedConstraint = TupleDomain.withColumnDomains(ImmutableMap.<ColumnHandle, Domain>builder().putAll(leftConstraint.getDomains().orElseThrow()).putAll(rightConstraint.getDomains().orElseThrow()).buildOrThrow());
    return Result.ofPlanNode(new ProjectNode(context.getIdAllocator().getNextId(), new TableScanNode(joinNode.getId(), handle, ImmutableList.copyOf(assignments.keySet()), assignments, newEnforcedConstraint, deriveTableStatisticsForPushdown(context.getStatsProvider(), context.getSession(), joinApplicationResult.get().isPrecalculateStatistics(), joinNode), false, Optional.empty()), Assignments.identity(joinNode.getOutputSymbols())));
}
Also used : PlanNode(io.trino.sql.planner.plan.PlanNode) LEFT(io.trino.sql.planner.plan.JoinNode.Type.LEFT) BooleanLiteral(io.trino.sql.tree.BooleanLiteral) Map(java.util.Map) JoinNode(io.trino.sql.planner.plan.JoinNode) TableScanNode(io.trino.sql.planner.plan.TableScanNode) PlanNodeStatsEstimate(io.trino.cost.PlanNodeStatsEstimate) Rules.deriveTableStatisticsForPushdown(io.trino.sql.planner.iterative.rule.Rules.deriveTableStatisticsForPushdown) ImmutableSet(com.google.common.collect.ImmutableSet) ImmutableMap(com.google.common.collect.ImmutableMap) Domain(io.trino.spi.predicate.Domain) ImmutableList.toImmutableList(com.google.common.collect.ImmutableList.toImmutableList) Assignments(io.trino.sql.planner.plan.Assignments) Set(java.util.Set) BasicRelationStatistics(io.trino.spi.connector.BasicRelationStatistics) Patterns.tableScan(io.trino.sql.planner.plan.Patterns.tableScan) ComparisonExpression(io.trino.sql.tree.ComparisonExpression) List(java.util.List) ImmutableMap.toImmutableMap(com.google.common.collect.ImmutableMap.toImmutableMap) Pattern(io.trino.matching.Pattern) SystemSessionProperties.isAllowPushdownIntoConnectors(io.trino.SystemSessionProperties.isAllowPushdownIntoConnectors) RIGHT(io.trino.sql.planner.plan.JoinNode.Type.RIGHT) SymbolReference(io.trino.sql.tree.SymbolReference) Optional(java.util.Optional) Expression(io.trino.sql.tree.Expression) ExpressionUtils.extractConjuncts(io.trino.sql.ExpressionUtils.extractConjuncts) Session(io.trino.Session) JoinCondition(io.trino.spi.connector.JoinCondition) Patterns(io.trino.sql.planner.plan.Patterns) Variable(io.trino.spi.expression.Variable) Capture.newCapture(io.trino.matching.Capture.newCapture) JoinStatistics(io.trino.spi.connector.JoinStatistics) ImmutableList(com.google.common.collect.ImmutableList) JoinType(io.trino.spi.connector.JoinType) Verify.verify(com.google.common.base.Verify.verify) Objects.requireNonNull(java.util.Objects.requireNonNull) ColumnHandle(io.trino.spi.connector.ColumnHandle) Rule(io.trino.sql.planner.iterative.Rule) Join.left(io.trino.sql.planner.plan.Patterns.Join.left) ProjectNode(io.trino.sql.planner.plan.ProjectNode) ExpressionUtils(io.trino.sql.ExpressionUtils) Symbol(io.trino.sql.planner.Symbol) FULL(io.trino.sql.planner.plan.JoinNode.Type.FULL) TupleDomain(io.trino.spi.predicate.TupleDomain) Capture(io.trino.matching.Capture) JoinApplicationResult(io.trino.spi.connector.JoinApplicationResult) TableHandle(io.trino.metadata.TableHandle) Join.right(io.trino.sql.planner.plan.Patterns.Join.right) ExpressionUtils.and(io.trino.sql.ExpressionUtils.and) Double.isNaN(java.lang.Double.isNaN) Captures(io.trino.matching.Captures) Metadata(io.trino.metadata.Metadata) TypeProvider(io.trino.sql.planner.TypeProvider) Domain.onlyNull(io.trino.spi.predicate.Domain.onlyNull) ColumnHandle(io.trino.spi.connector.ColumnHandle) Symbol(io.trino.sql.planner.Symbol) JoinNode(io.trino.sql.planner.plan.JoinNode) JoinApplicationResult(io.trino.spi.connector.JoinApplicationResult) ImmutableMap(com.google.common.collect.ImmutableMap) ImmutableMap.toImmutableMap(com.google.common.collect.ImmutableMap.toImmutableMap) JoinStatistics(io.trino.spi.connector.JoinStatistics) TableScanNode(io.trino.sql.planner.plan.TableScanNode) ComparisonExpression(io.trino.sql.tree.ComparisonExpression) Expression(io.trino.sql.tree.Expression) TableHandle(io.trino.metadata.TableHandle) ProjectNode(io.trino.sql.planner.plan.ProjectNode) Domain(io.trino.spi.predicate.Domain) TupleDomain(io.trino.spi.predicate.TupleDomain) Map(java.util.Map) ImmutableMap(com.google.common.collect.ImmutableMap) ImmutableMap.toImmutableMap(com.google.common.collect.ImmutableMap.toImmutableMap)

Example 2 with RIGHT

use of io.trino.sql.planner.plan.JoinNode.Type.RIGHT in project trino by trinodb.

the class TestPushLimitThroughOuterJoin method testLimitWithPreSortedInputsRightJoin.

@Test
public void testLimitWithPreSortedInputsRightJoin() {
    tester().assertThat(new PushLimitThroughOuterJoin()).on(p -> {
        Symbol leftKey = p.symbol("leftKey");
        Symbol rightKey = p.symbol("rightKey");
        return p.limit(1, false, ImmutableList.of(leftKey), p.join(RIGHT, p.values(5, leftKey), p.values(5, rightKey), new EquiJoinClause(leftKey, rightKey)));
    }).doesNotFire();
    tester().assertThat(new PushLimitThroughOuterJoin()).on(p -> {
        Symbol leftKey = p.symbol("leftKey");
        Symbol rightKey = p.symbol("rightKey");
        return p.limit(1, false, ImmutableList.of(rightKey), p.join(RIGHT, p.values(5, leftKey), p.values(5, rightKey), new EquiJoinClause(leftKey, rightKey)));
    }).matches(limit(1, ImmutableList.of(), false, ImmutableList.of("rightKey"), join(RIGHT, ImmutableList.of(equiJoinClause("leftKey", "rightKey")), values("leftKey"), limit(1, ImmutableList.of(), true, ImmutableList.of("rightKey"), values("rightKey")))));
}
Also used : Symbol(io.trino.sql.planner.Symbol) PlanMatchPattern.limit(io.trino.sql.planner.assertions.PlanMatchPattern.limit) LEFT(io.trino.sql.planner.plan.JoinNode.Type.LEFT) ImmutableList(com.google.common.collect.ImmutableList) RIGHT(io.trino.sql.planner.plan.JoinNode.Type.RIGHT) BaseRuleTest(io.trino.sql.planner.iterative.rule.test.BaseRuleTest) EquiJoinClause(io.trino.sql.planner.plan.JoinNode.EquiJoinClause) FULL(io.trino.sql.planner.plan.JoinNode.Type.FULL) PlanMatchPattern.equiJoinClause(io.trino.sql.planner.assertions.PlanMatchPattern.equiJoinClause) Test(org.testng.annotations.Test) PlanMatchPattern.values(io.trino.sql.planner.assertions.PlanMatchPattern.values) PlanMatchPattern.join(io.trino.sql.planner.assertions.PlanMatchPattern.join) Symbol(io.trino.sql.planner.Symbol) EquiJoinClause(io.trino.sql.planner.plan.JoinNode.EquiJoinClause) BaseRuleTest(io.trino.sql.planner.iterative.rule.test.BaseRuleTest) Test(org.testng.annotations.Test)

Example 3 with RIGHT

use of io.trino.sql.planner.plan.JoinNode.Type.RIGHT in project trino by trinodb.

the class TestDetermineJoinDistributionType method testPartitionRightOuterJoin.

@Test
public void testPartitionRightOuterJoin() {
    int aRows = 10_000;
    int bRows = 10;
    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(RIGHT, 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)), ImmutableList.of(p.symbol("B1", BIGINT)), Optional.empty())).matches(join(RIGHT, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(PARTITIONED), values(ImmutableMap.of("A1", 0)), values(ImmutableMap.of("B1", 0))));
}
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Example 4 with RIGHT

use of io.trino.sql.planner.plan.JoinNode.Type.RIGHT in project trino by trinodb.

the class TestDetermineJoinDistributionType method testFlipAndReplicateRightOuterJoin.

@Test
public void testFlipAndReplicateRightOuterJoin() {
    int aRows = 10;
    int bRows = 1_000_000;
    assertDetermineJoinDistributionType(new CostComparator(75, 10, 15)).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(RIGHT, 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)), ImmutableList.of(p.symbol("B1", BIGINT)), Optional.empty())).matches(join(LEFT, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(REPLICATED), values(ImmutableMap.of("A1", 0)), values(ImmutableMap.of("B1", 0))));
}
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Example 5 with RIGHT

use of io.trino.sql.planner.plan.JoinNode.Type.RIGHT in project trino by trinodb.

the class TestDetermineJoinDistributionType method testFlipAndReplicateRightOuterJoinWhenJoinCardinalityUnknown.

@Test
public void testFlipAndReplicateRightOuterJoinWhenJoinCardinalityUnknown() {
    int aRows = 10;
    int bRows = 1_000_000;
    assertDetermineJoinDistributionType(new CostComparator(75, 10, 15)).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(RIGHT, 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)), ImmutableList.of(p.symbol("B1", BIGINT)), Optional.empty())).matches(join(LEFT, ImmutableList.of(equiJoinClause("A1", "B1")), Optional.empty(), Optional.of(REPLICATED), values(ImmutableMap.of("A1", 0)), values(ImmutableMap.of("B1", 0))));
}
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Aggregations

ImmutableList (com.google.common.collect.ImmutableList)6 Symbol (io.trino.sql.planner.Symbol)6 FULL (io.trino.sql.planner.plan.JoinNode.Type.FULL)6 LEFT (io.trino.sql.planner.plan.JoinNode.Type.LEFT)6 RIGHT (io.trino.sql.planner.plan.JoinNode.Type.RIGHT)6 ImmutableMap (com.google.common.collect.ImmutableMap)5 PlanNodeStatsEstimate (io.trino.cost.PlanNodeStatsEstimate)5 PlanMatchPattern.equiJoinClause (io.trino.sql.planner.assertions.PlanMatchPattern.equiJoinClause)5 PlanMatchPattern.join (io.trino.sql.planner.assertions.PlanMatchPattern.join)5 PlanMatchPattern.values (io.trino.sql.planner.assertions.PlanMatchPattern.values)5 JoinNode (io.trino.sql.planner.plan.JoinNode)5 TableScanNode (io.trino.sql.planner.plan.TableScanNode)5 ImmutableListMultimap (com.google.common.collect.ImmutableListMultimap)4 JOIN_DISTRIBUTION_TYPE (io.trino.SystemSessionProperties.JOIN_DISTRIBUTION_TYPE)4 JOIN_MAX_BROADCAST_TABLE_SIZE (io.trino.SystemSessionProperties.JOIN_MAX_BROADCAST_TABLE_SIZE)4 CostComparator (io.trino.cost.CostComparator)4 SymbolStatsEstimate (io.trino.cost.SymbolStatsEstimate)4 TaskCountEstimator (io.trino.cost.TaskCountEstimator)4 BIGINT (io.trino.spi.type.BigintType.BIGINT)4 VarcharType (io.trino.spi.type.VarcharType)4