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Example 26 with Join

use of org.apache.calcite.rel.core.Join in project beam by apache.

the class BeamSideInputJoinRule method onMatch.

@Override
public void onMatch(RelOptRuleCall call) {
    Join join = (Join) call.rel(0);
    BeamSideInputJoinRel rel = new BeamSideInputJoinRel(join.getCluster(), join.getTraitSet().replace(BeamLogicalConvention.INSTANCE), convert(join.getLeft(), join.getLeft().getTraitSet().replace(BeamLogicalConvention.INSTANCE)), convert(join.getRight(), join.getRight().getTraitSet().replace(BeamLogicalConvention.INSTANCE)), join.getCondition(), join.getVariablesSet(), join.getJoinType());
    call.transformTo(rel);
}
Also used : BeamSideInputJoinRel(org.apache.beam.sdk.extensions.sql.impl.rel.BeamSideInputJoinRel) Join(org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rel.core.Join) LogicalJoin(org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rel.logical.LogicalJoin)

Example 27 with Join

use of org.apache.calcite.rel.core.Join in project druid by druid-io.

the class DruidJoinRule method onMatch.

@Override
public void onMatch(RelOptRuleCall call) {
    final Join join = call.rel(0);
    final DruidRel<?> left = call.rel(1);
    final DruidRel<?> right = call.rel(2);
    final RexBuilder rexBuilder = join.getCluster().getRexBuilder();
    final DruidRel<?> newLeft;
    final DruidRel<?> newRight;
    final Filter leftFilter;
    final List<RexNode> newProjectExprs = new ArrayList<>();
    // Already verified to be present in "matches", so just call "get".
    // Can't be final, because we're going to reassign it up to a couple of times.
    ConditionAnalysis conditionAnalysis = analyzeCondition(join.getCondition(), join.getLeft().getRowType(), right).get();
    final boolean isLeftDirectAccessPossible = enableLeftScanDirect && (left instanceof DruidQueryRel);
    if (left.getPartialDruidQuery().stage() == PartialDruidQuery.Stage.SELECT_PROJECT && (isLeftDirectAccessPossible || left.getPartialDruidQuery().getWhereFilter() == null)) {
        // Swap the left-side projection above the join, so the left side is a simple scan or mapping. This helps us
        // avoid subqueries.
        final RelNode leftScan = left.getPartialDruidQuery().getScan();
        final Project leftProject = left.getPartialDruidQuery().getSelectProject();
        leftFilter = left.getPartialDruidQuery().getWhereFilter();
        // Left-side projection expressions rewritten to be on top of the join.
        newProjectExprs.addAll(leftProject.getProjects());
        newLeft = left.withPartialQuery(PartialDruidQuery.create(leftScan));
        conditionAnalysis = conditionAnalysis.pushThroughLeftProject(leftProject);
    } else {
        // Leave left as-is. Write input refs that do nothing.
        for (int i = 0; i < left.getRowType().getFieldCount(); i++) {
            newProjectExprs.add(rexBuilder.makeInputRef(join.getRowType().getFieldList().get(i).getType(), i));
        }
        newLeft = left;
        leftFilter = null;
    }
    if (right.getPartialDruidQuery().stage() == PartialDruidQuery.Stage.SELECT_PROJECT && right.getPartialDruidQuery().getWhereFilter() == null && !right.getPartialDruidQuery().getSelectProject().isMapping() && conditionAnalysis.onlyUsesMappingsFromRightProject(right.getPartialDruidQuery().getSelectProject())) {
        // Swap the right-side projection above the join, so the right side is a simple scan or mapping. This helps us
        // avoid subqueries.
        final RelNode rightScan = right.getPartialDruidQuery().getScan();
        final Project rightProject = right.getPartialDruidQuery().getSelectProject();
        // Right-side projection expressions rewritten to be on top of the join.
        for (final RexNode rexNode : RexUtil.shift(rightProject.getProjects(), newLeft.getRowType().getFieldCount())) {
            if (join.getJoinType().generatesNullsOnRight()) {
                newProjectExprs.add(makeNullableIfLiteral(rexNode, rexBuilder));
            } else {
                newProjectExprs.add(rexNode);
            }
        }
        newRight = right.withPartialQuery(PartialDruidQuery.create(rightScan));
        conditionAnalysis = conditionAnalysis.pushThroughRightProject(rightProject);
    } else {
        // Leave right as-is. Write input refs that do nothing.
        for (int i = 0; i < right.getRowType().getFieldCount(); i++) {
            newProjectExprs.add(rexBuilder.makeInputRef(join.getRowType().getFieldList().get(left.getRowType().getFieldCount() + i).getType(), newLeft.getRowType().getFieldCount() + i));
        }
        newRight = right;
    }
    // Druid join written on top of the new left and right sides.
    final DruidJoinQueryRel druidJoin = DruidJoinQueryRel.create(join.copy(join.getTraitSet(), conditionAnalysis.getCondition(rexBuilder), newLeft, newRight, join.getJoinType(), join.isSemiJoinDone()), leftFilter, left.getPlannerContext());
    final RelBuilder relBuilder = call.builder().push(druidJoin).project(RexUtil.fixUp(rexBuilder, newProjectExprs, RelOptUtil.getFieldTypeList(druidJoin.getRowType())));
    call.transformTo(relBuilder.build());
}
Also used : DruidJoinQueryRel(org.apache.druid.sql.calcite.rel.DruidJoinQueryRel) RelBuilder(org.apache.calcite.tools.RelBuilder) ArrayList(java.util.ArrayList) Join(org.apache.calcite.rel.core.Join) DruidQueryRel(org.apache.druid.sql.calcite.rel.DruidQueryRel) Project(org.apache.calcite.rel.core.Project) RelNode(org.apache.calcite.rel.RelNode) Filter(org.apache.calcite.rel.core.Filter) RexBuilder(org.apache.calcite.rex.RexBuilder) RexNode(org.apache.calcite.rex.RexNode)

Example 28 with Join

use of org.apache.calcite.rel.core.Join in project hive by apache.

the class HiveInsertExchange4JoinRule method onMatch.

@Override
public void onMatch(RelOptRuleCall call) {
    JoinPredicateInfo joinPredInfo;
    if (call.rel(0) instanceof HiveMultiJoin) {
        HiveMultiJoin multiJoin = call.rel(0);
        joinPredInfo = multiJoin.getJoinPredicateInfo();
    } else if (call.rel(0) instanceof HiveJoin) {
        HiveJoin hiveJoin = call.rel(0);
        joinPredInfo = hiveJoin.getJoinPredicateInfo();
    } else if (call.rel(0) instanceof Join) {
        Join join = call.rel(0);
        try {
            joinPredInfo = HiveCalciteUtil.JoinPredicateInfo.constructJoinPredicateInfo(join);
        } catch (CalciteSemanticException e) {
            throw new RuntimeException(e);
        }
    } else {
        return;
    }
    for (RelNode child : call.rel(0).getInputs()) {
        if (((HepRelVertex) child).getCurrentRel() instanceof Exchange) {
            return;
        }
    }
    // Get key columns from inputs. Those are the columns on which we will distribute on.
    // It is also the columns we will sort on.
    List<RelNode> newInputs = new ArrayList<RelNode>();
    for (int i = 0; i < call.rel(0).getInputs().size(); i++) {
        List<Integer> joinKeyPositions = new ArrayList<Integer>();
        ImmutableList.Builder<RexNode> joinExprsBuilder = new ImmutableList.Builder<RexNode>();
        Set<String> keySet = Sets.newHashSet();
        ImmutableList.Builder<RelFieldCollation> collationListBuilder = new ImmutableList.Builder<RelFieldCollation>();
        for (int j = 0; j < joinPredInfo.getEquiJoinPredicateElements().size(); j++) {
            JoinLeafPredicateInfo joinLeafPredInfo = joinPredInfo.getEquiJoinPredicateElements().get(j);
            for (RexNode joinExprNode : joinLeafPredInfo.getJoinExprs(i)) {
                if (keySet.add(joinExprNode.toString())) {
                    joinExprsBuilder.add(joinExprNode);
                }
            }
            for (int pos : joinLeafPredInfo.getProjsJoinKeysInChildSchema(i)) {
                if (!joinKeyPositions.contains(pos)) {
                    joinKeyPositions.add(pos);
                    collationListBuilder.add(new RelFieldCollation(pos));
                }
            }
        }
        HiveSortExchange exchange = HiveSortExchange.create(call.rel(0).getInput(i), new HiveRelDistribution(RelDistribution.Type.HASH_DISTRIBUTED, joinKeyPositions), new HiveRelCollation(collationListBuilder.build()), joinExprsBuilder.build());
        newInputs.add(exchange);
    }
    RelNode newOp;
    if (call.rel(0) instanceof HiveMultiJoin) {
        HiveMultiJoin multiJoin = call.rel(0);
        newOp = multiJoin.copy(multiJoin.getTraitSet(), newInputs);
    } else if (call.rel(0) instanceof Join) {
        Join join = call.rel(0);
        newOp = join.copy(join.getTraitSet(), join.getCondition(), newInputs.get(0), newInputs.get(1), join.getJoinType(), join.isSemiJoinDone());
    } else {
        return;
    }
    call.getPlanner().onCopy(call.rel(0), newOp);
    call.transformTo(newOp);
}
Also used : HiveMultiJoin(org.apache.hadoop.hive.ql.optimizer.calcite.reloperators.HiveMultiJoin) ImmutableList(com.google.common.collect.ImmutableList) ArrayList(java.util.ArrayList) HiveJoin(org.apache.hadoop.hive.ql.optimizer.calcite.reloperators.HiveJoin) HiveSortExchange(org.apache.hadoop.hive.ql.optimizer.calcite.reloperators.HiveSortExchange) CalciteSemanticException(org.apache.hadoop.hive.ql.optimizer.calcite.CalciteSemanticException) Join(org.apache.calcite.rel.core.Join) HiveJoin(org.apache.hadoop.hive.ql.optimizer.calcite.reloperators.HiveJoin) HiveMultiJoin(org.apache.hadoop.hive.ql.optimizer.calcite.reloperators.HiveMultiJoin) Exchange(org.apache.calcite.rel.core.Exchange) HiveSortExchange(org.apache.hadoop.hive.ql.optimizer.calcite.reloperators.HiveSortExchange) HiveRelDistribution(org.apache.hadoop.hive.ql.optimizer.calcite.HiveRelDistribution) JoinLeafPredicateInfo(org.apache.hadoop.hive.ql.optimizer.calcite.HiveCalciteUtil.JoinLeafPredicateInfo) HiveRelCollation(org.apache.hadoop.hive.ql.optimizer.calcite.HiveRelCollation) RelNode(org.apache.calcite.rel.RelNode) JoinPredicateInfo(org.apache.hadoop.hive.ql.optimizer.calcite.HiveCalciteUtil.JoinPredicateInfo) RelFieldCollation(org.apache.calcite.rel.RelFieldCollation) RexNode(org.apache.calcite.rex.RexNode)

Example 29 with Join

use of org.apache.calcite.rel.core.Join in project hive by apache.

the class SubstitutionVisitor method toMutable.

private static MutableRel toMutable(RelNode rel) {
    if (rel instanceof TableScan) {
        return MutableScan.of((TableScan) rel);
    }
    if (rel instanceof Values) {
        return MutableValues.of((Values) rel);
    }
    if (rel instanceof Project) {
        final Project project = (Project) rel;
        final MutableRel input = toMutable(project.getInput());
        return MutableProject.of(input, project.getProjects(), project.getRowType().getFieldNames());
    }
    if (rel instanceof Filter) {
        final Filter filter = (Filter) rel;
        final MutableRel input = toMutable(filter.getInput());
        return MutableFilter.of(input, filter.getCondition());
    }
    if (rel instanceof Aggregate) {
        final Aggregate aggregate = (Aggregate) rel;
        final MutableRel input = toMutable(aggregate.getInput());
        return MutableAggregate.of(input, aggregate.indicator, aggregate.getGroupSet(), aggregate.getGroupSets(), aggregate.getAggCallList());
    }
    if (rel instanceof Join) {
        final Join join = (Join) rel;
        final MutableRel left = toMutable(join.getLeft());
        final MutableRel right = toMutable(join.getRight());
        return MutableJoin.of(join.getCluster(), left, right, join.getCondition(), join.getJoinType(), join.getVariablesSet());
    }
    if (rel instanceof Sort) {
        final Sort sort = (Sort) rel;
        final MutableRel input = toMutable(sort.getInput());
        return MutableSort.of(input, sort.getCollation(), sort.offset, sort.fetch);
    }
    throw new RuntimeException("cannot translate " + rel + " to MutableRel");
}
Also used : TableScan(org.apache.calcite.rel.core.TableScan) Project(org.apache.calcite.rel.core.Project) Filter(org.apache.calcite.rel.core.Filter) Values(org.apache.calcite.rel.core.Values) LogicalJoin(org.apache.calcite.rel.logical.LogicalJoin) Join(org.apache.calcite.rel.core.Join) LogicalSort(org.apache.calcite.rel.logical.LogicalSort) Sort(org.apache.calcite.rel.core.Sort) Aggregate(org.apache.calcite.rel.core.Aggregate) LogicalAggregate(org.apache.calcite.rel.logical.LogicalAggregate)

Example 30 with Join

use of org.apache.calcite.rel.core.Join in project flink by apache.

the class FlinkAggregateJoinTransposeRule method onMatch.

public void onMatch(RelOptRuleCall call) {
    final Aggregate aggregate = call.rel(0);
    final Join join = call.rel(1);
    final RexBuilder rexBuilder = aggregate.getCluster().getRexBuilder();
    final RelBuilder relBuilder = call.builder();
    // If any aggregate call has a filter, bail out
    for (AggregateCall aggregateCall : aggregate.getAggCallList()) {
        if (aggregateCall.getAggregation().unwrap(SqlSplittableAggFunction.class) == null) {
            return;
        }
        if (aggregateCall.filterArg >= 0) {
            return;
        }
    }
    // aggregate operator
    if (join.getJoinType() != JoinRelType.INNER) {
        return;
    }
    if (!allowFunctions && !aggregate.getAggCallList().isEmpty()) {
        return;
    }
    // Do the columns used by the join appear in the output of the aggregate?
    final ImmutableBitSet aggregateColumns = aggregate.getGroupSet();
    final RelMetadataQuery mq = RelMetadataQuery.instance();
    final ImmutableBitSet keyColumns = keyColumns(aggregateColumns, mq.getPulledUpPredicates(join).pulledUpPredicates);
    final ImmutableBitSet joinColumns = RelOptUtil.InputFinder.bits(join.getCondition());
    final boolean allColumnsInAggregate = keyColumns.contains(joinColumns);
    final ImmutableBitSet belowAggregateColumns = aggregateColumns.union(joinColumns);
    // Split join condition
    final List<Integer> leftKeys = Lists.newArrayList();
    final List<Integer> rightKeys = Lists.newArrayList();
    final List<Boolean> filterNulls = Lists.newArrayList();
    RexNode nonEquiConj = RelOptUtil.splitJoinCondition(join.getLeft(), join.getRight(), join.getCondition(), leftKeys, rightKeys, filterNulls);
    // If it contains non-equi join conditions, we bail out
    if (!nonEquiConj.isAlwaysTrue()) {
        return;
    }
    // Push each aggregate function down to each side that contains all of its
    // arguments. Note that COUNT(*), because it has no arguments, can go to
    // both sides.
    final Map<Integer, Integer> map = new HashMap<>();
    final List<Side> sides = new ArrayList<>();
    int uniqueCount = 0;
    int offset = 0;
    int belowOffset = 0;
    for (int s = 0; s < 2; s++) {
        final Side side = new Side();
        final RelNode joinInput = join.getInput(s);
        int fieldCount = joinInput.getRowType().getFieldCount();
        final ImmutableBitSet fieldSet = ImmutableBitSet.range(offset, offset + fieldCount);
        final ImmutableBitSet belowAggregateKeyNotShifted = belowAggregateColumns.intersect(fieldSet);
        for (Ord<Integer> c : Ord.zip(belowAggregateKeyNotShifted)) {
            map.put(c.e, belowOffset + c.i);
        }
        final ImmutableBitSet belowAggregateKey = belowAggregateKeyNotShifted.shift(-offset);
        final boolean unique;
        if (!allowFunctions) {
            assert aggregate.getAggCallList().isEmpty();
            // If there are no functions, it doesn't matter as much whether we
            // aggregate the inputs before the join, because there will not be
            // any functions experiencing a cartesian product effect.
            //
            // But finding out whether the input is already unique requires a call
            // to areColumnsUnique that currently (until [CALCITE-1048] "Make
            // metadata more robust" is fixed) places a heavy load on
            // the metadata system.
            //
            // So we choose to imagine the the input is already unique, which is
            // untrue but harmless.
            //
            Util.discard(Bug.CALCITE_1048_FIXED);
            unique = true;
        } else {
            final Boolean unique0 = mq.areColumnsUnique(joinInput, belowAggregateKey);
            unique = unique0 != null && unique0;
        }
        if (unique) {
            ++uniqueCount;
            side.aggregate = false;
            side.newInput = joinInput;
        } else {
            side.aggregate = true;
            List<AggregateCall> belowAggCalls = new ArrayList<>();
            final SqlSplittableAggFunction.Registry<AggregateCall> belowAggCallRegistry = registry(belowAggCalls);
            final Mappings.TargetMapping mapping = s == 0 ? Mappings.createIdentity(fieldCount) : Mappings.createShiftMapping(fieldCount + offset, 0, offset, fieldCount);
            for (Ord<AggregateCall> aggCall : Ord.zip(aggregate.getAggCallList())) {
                final SqlAggFunction aggregation = aggCall.e.getAggregation();
                final SqlSplittableAggFunction splitter = Preconditions.checkNotNull(aggregation.unwrap(SqlSplittableAggFunction.class));
                final AggregateCall call1;
                if (fieldSet.contains(ImmutableBitSet.of(aggCall.e.getArgList()))) {
                    call1 = splitter.split(aggCall.e, mapping);
                } else {
                    call1 = splitter.other(rexBuilder.getTypeFactory(), aggCall.e);
                }
                if (call1 != null) {
                    side.split.put(aggCall.i, belowAggregateKey.cardinality() + belowAggCallRegistry.register(call1));
                }
            }
            side.newInput = relBuilder.push(joinInput).aggregate(relBuilder.groupKey(belowAggregateKey, false, null), belowAggCalls).build();
        }
        offset += fieldCount;
        belowOffset += side.newInput.getRowType().getFieldCount();
        sides.add(side);
    }
    if (uniqueCount == 2) {
        // invocation of this rule; if we continue we might loop forever.
        return;
    }
    // Update condition
    final Mapping mapping = (Mapping) Mappings.target(new Function<Integer, Integer>() {

        public Integer apply(Integer a0) {
            return map.get(a0);
        }
    }, join.getRowType().getFieldCount(), belowOffset);
    final RexNode newCondition = RexUtil.apply(mapping, join.getCondition());
    // Create new join
    relBuilder.push(sides.get(0).newInput).push(sides.get(1).newInput).join(join.getJoinType(), newCondition);
    // Aggregate above to sum up the sub-totals
    final List<AggregateCall> newAggCalls = new ArrayList<>();
    final int groupIndicatorCount = aggregate.getGroupCount() + aggregate.getIndicatorCount();
    final int newLeftWidth = sides.get(0).newInput.getRowType().getFieldCount();
    final List<RexNode> projects = new ArrayList<>(rexBuilder.identityProjects(relBuilder.peek().getRowType()));
    for (Ord<AggregateCall> aggCall : Ord.zip(aggregate.getAggCallList())) {
        final SqlAggFunction aggregation = aggCall.e.getAggregation();
        final SqlSplittableAggFunction splitter = Preconditions.checkNotNull(aggregation.unwrap(SqlSplittableAggFunction.class));
        final Integer leftSubTotal = sides.get(0).split.get(aggCall.i);
        final Integer rightSubTotal = sides.get(1).split.get(aggCall.i);
        newAggCalls.add(splitter.topSplit(rexBuilder, registry(projects), groupIndicatorCount, relBuilder.peek().getRowType(), aggCall.e, leftSubTotal == null ? -1 : leftSubTotal, rightSubTotal == null ? -1 : rightSubTotal + newLeftWidth));
    }
    relBuilder.project(projects);
    boolean aggConvertedToProjects = false;
    if (allColumnsInAggregate) {
        // let's see if we can convert aggregate into projects
        List<RexNode> projects2 = new ArrayList<>();
        for (int key : Mappings.apply(mapping, aggregate.getGroupSet())) {
            projects2.add(relBuilder.field(key));
        }
        for (AggregateCall newAggCall : newAggCalls) {
            final SqlSplittableAggFunction splitter = newAggCall.getAggregation().unwrap(SqlSplittableAggFunction.class);
            if (splitter != null) {
                projects2.add(splitter.singleton(rexBuilder, relBuilder.peek().getRowType(), newAggCall));
            }
        }
        if (projects2.size() == aggregate.getGroupSet().cardinality() + newAggCalls.size()) {
            // We successfully converted agg calls into projects.
            relBuilder.project(projects2);
            aggConvertedToProjects = true;
        }
    }
    if (!aggConvertedToProjects) {
        relBuilder.aggregate(relBuilder.groupKey(Mappings.apply(mapping, aggregate.getGroupSet()), aggregate.indicator, Mappings.apply2(mapping, aggregate.getGroupSets())), newAggCalls);
    }
    call.transformTo(relBuilder.build());
}
Also used : RelMetadataQuery(org.apache.calcite.rel.metadata.RelMetadataQuery) ImmutableBitSet(org.apache.calcite.util.ImmutableBitSet) HashMap(java.util.HashMap) ArrayList(java.util.ArrayList) Mapping(org.apache.calcite.util.mapping.Mapping) Function(com.google.common.base.Function) SqlSplittableAggFunction(org.apache.calcite.sql.SqlSplittableAggFunction) SqlAggFunction(org.apache.calcite.sql.SqlAggFunction) RexBuilder(org.apache.calcite.rex.RexBuilder) SqlSplittableAggFunction(org.apache.calcite.sql.SqlSplittableAggFunction) RelBuilder(org.apache.calcite.tools.RelBuilder) Join(org.apache.calcite.rel.core.Join) LogicalJoin(org.apache.calcite.rel.logical.LogicalJoin) SqlAggFunction(org.apache.calcite.sql.SqlAggFunction) AggregateCall(org.apache.calcite.rel.core.AggregateCall) RelNode(org.apache.calcite.rel.RelNode) Mappings(org.apache.calcite.util.mapping.Mappings) Aggregate(org.apache.calcite.rel.core.Aggregate) LogicalAggregate(org.apache.calcite.rel.logical.LogicalAggregate) RexNode(org.apache.calcite.rex.RexNode)

Aggregations

Join (org.apache.calcite.rel.core.Join)57 RelNode (org.apache.calcite.rel.RelNode)38 RexNode (org.apache.calcite.rex.RexNode)32 LogicalJoin (org.apache.calcite.rel.logical.LogicalJoin)25 ArrayList (java.util.ArrayList)23 RexBuilder (org.apache.calcite.rex.RexBuilder)20 Project (org.apache.calcite.rel.core.Project)16 RelBuilder (org.apache.calcite.tools.RelBuilder)15 ImmutableBitSet (org.apache.calcite.util.ImmutableBitSet)15 SemiJoin (org.apache.calcite.rel.core.SemiJoin)12 RelOptCluster (org.apache.calcite.plan.RelOptCluster)11 Aggregate (org.apache.calcite.rel.core.Aggregate)11 RelMetadataQuery (org.apache.calcite.rel.metadata.RelMetadataQuery)9 LogicalProject (org.apache.calcite.rel.logical.LogicalProject)8 RelDataType (org.apache.calcite.rel.type.RelDataType)8 Mappings (org.apache.calcite.util.mapping.Mappings)8 JoinRelType (org.apache.calcite.rel.core.JoinRelType)7 HiveJoin (org.apache.hadoop.hive.ql.optimizer.calcite.reloperators.HiveJoin)7 HashMap (java.util.HashMap)6 Sort (org.apache.calcite.rel.core.Sort)6