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[FLINK-26518][table-planner] Port FlinkRelBuilder to Java
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...k-table-planner/src/main/java/org/apache/flink/table/planner/calcite/FlinkRelBuilder.java
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| package org.apache.flink.table.planner.calcite; | ||
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| import org.apache.flink.annotation.Internal; | ||
| import org.apache.flink.table.catalog.ObjectIdentifier; | ||
| import org.apache.flink.table.operations.QueryOperation; | ||
| import org.apache.flink.table.planner.calcite.FlinkRelFactories.ExpandFactory; | ||
| import org.apache.flink.table.planner.calcite.FlinkRelFactories.RankFactory; | ||
| import org.apache.flink.table.planner.hint.FlinkHints; | ||
| import org.apache.flink.table.planner.plan.QueryOperationConverter; | ||
| import org.apache.flink.table.planner.plan.logical.LogicalWindow; | ||
| import org.apache.flink.table.planner.plan.nodes.calcite.LogicalTableAggregate; | ||
| import org.apache.flink.table.planner.plan.nodes.calcite.LogicalWatermarkAssigner; | ||
| import org.apache.flink.table.planner.plan.nodes.calcite.LogicalWindowAggregate; | ||
| import org.apache.flink.table.planner.plan.nodes.calcite.LogicalWindowTableAggregate; | ||
| import org.apache.flink.table.runtime.groupwindow.NamedWindowProperty; | ||
| import org.apache.flink.table.runtime.operators.rank.RankRange; | ||
| import org.apache.flink.table.runtime.operators.rank.RankType; | ||
| import org.apache.flink.util.Preconditions; | ||
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| import org.apache.flink.shaded.guava30.com.google.common.collect.ImmutableList; | ||
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| import org.apache.calcite.plan.Context; | ||
| import org.apache.calcite.plan.Contexts; | ||
| import org.apache.calcite.plan.RelOptCluster; | ||
| import org.apache.calcite.plan.RelOptSchema; | ||
| import org.apache.calcite.plan.RelOptTable.ToRelContext; | ||
| import org.apache.calcite.plan.ViewExpanders; | ||
| import org.apache.calcite.rel.RelCollation; | ||
| import org.apache.calcite.rel.RelNode; | ||
| import org.apache.calcite.rel.core.AggregateCall; | ||
| import org.apache.calcite.rel.hint.RelHint; | ||
| import org.apache.calcite.rel.logical.LogicalAggregate; | ||
| import org.apache.calcite.rel.type.RelDataTypeField; | ||
| import org.apache.calcite.rex.RexNode; | ||
| import org.apache.calcite.sql.SqlKind; | ||
| import org.apache.calcite.tools.RelBuilder; | ||
| import org.apache.calcite.tools.RelBuilderFactory; | ||
| import org.apache.calcite.util.ImmutableBitSet; | ||
| import org.apache.calcite.util.Util; | ||
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| import java.util.ArrayList; | ||
| import java.util.List; | ||
| import java.util.Map; | ||
| import java.util.function.UnaryOperator; | ||
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| import static org.apache.flink.table.planner.plan.utils.AggregateUtil.isTableAggregate; | ||
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| /** Flink-specific {@link RelBuilder}. */ | ||
| @Internal | ||
| public final class FlinkRelBuilder extends RelBuilder { | ||
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| private final QueryOperationConverter toRelNodeConverter; | ||
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| private final ExpandFactory expandFactory; | ||
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| private final RankFactory rankFactory; | ||
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| private FlinkRelBuilder(Context context, RelOptCluster cluster, RelOptSchema relOptSchema) { | ||
| super(context, cluster, relOptSchema); | ||
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| this.toRelNodeConverter = | ||
| new QueryOperationConverter(this, context.unwrap(FlinkContext.class).isBatchMode()); | ||
| this.expandFactory = | ||
| Util.first( | ||
| context.unwrap(ExpandFactory.class), | ||
| FlinkRelFactories.DEFAULT_EXPAND_FACTORY()); | ||
| this.rankFactory = | ||
| Util.first( | ||
| context.unwrap(RankFactory.class), | ||
| FlinkRelFactories.DEFAULT_RANK_FACTORY()); | ||
| } | ||
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| public static FlinkRelBuilder of( | ||
| Context context, RelOptCluster cluster, RelOptSchema relOptSchema) { | ||
| return new FlinkRelBuilder(Preconditions.checkNotNull(context), cluster, relOptSchema); | ||
| } | ||
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| public static FlinkRelBuilder of(RelOptCluster cluster, RelOptSchema relOptSchema) { | ||
| return FlinkRelBuilder.of(cluster.getPlanner().getContext(), cluster, relOptSchema); | ||
| } | ||
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| public static RelBuilderFactory proto(Context context) { | ||
| return (cluster, schema) -> { | ||
| final Context clusterContext = cluster.getPlanner().getContext(); | ||
| final Context chain = Contexts.chain(context, clusterContext); | ||
| return FlinkRelBuilder.of(chain, cluster, schema); | ||
| }; | ||
| } | ||
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| public RelBuilder expand(List<List<RexNode>> projects, int expandIdIndex) { | ||
| final RelNode input = build(); | ||
| final RelNode expand = expandFactory.createExpand(input, projects, expandIdIndex); | ||
| return push(expand); | ||
| } | ||
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| public RelBuilder rank( | ||
| ImmutableBitSet partitionKey, | ||
| RelCollation orderKey, | ||
| RankType rankType, | ||
| RankRange rankRange, | ||
| RelDataTypeField rankNumberType, | ||
| boolean outputRankNumber) { | ||
| final RelNode input = build(); | ||
| final RelNode rank = | ||
| rankFactory.createRank( | ||
| input, | ||
| partitionKey, | ||
| orderKey, | ||
| rankType, | ||
| rankRange, | ||
| rankNumberType, | ||
| outputRankNumber); | ||
| return push(rank); | ||
| } | ||
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| /** Build non-window aggregate for either aggregate or table aggregate. */ | ||
| @Override | ||
| public RelBuilder aggregate( | ||
| RelBuilder.GroupKey groupKey, Iterable<RelBuilder.AggCall> aggCalls) { | ||
| // build a relNode, the build() may also return a project | ||
| RelNode relNode = super.aggregate(groupKey, aggCalls).build(); | ||
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| if (relNode instanceof LogicalAggregate) { | ||
| final LogicalAggregate logicalAggregate = (LogicalAggregate) relNode; | ||
| if (isTableAggregate(logicalAggregate.getAggCallList())) { | ||
| relNode = LogicalTableAggregate.create(logicalAggregate); | ||
| } else if (isCountStarAgg(logicalAggregate)) { | ||
| final RelNode newAggInput = | ||
| push(logicalAggregate.getInput(0)).project(literal(0)).build(); | ||
| relNode = | ||
| logicalAggregate.copy( | ||
| logicalAggregate.getTraitSet(), ImmutableList.of(newAggInput)); | ||
| } | ||
| } | ||
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| return push(relNode); | ||
| } | ||
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| /** Build window aggregate for either aggregate or table aggregate. */ | ||
| public RelBuilder windowAggregate( | ||
| LogicalWindow window, | ||
| GroupKey groupKey, | ||
| List<NamedWindowProperty> namedProperties, | ||
| Iterable<AggCall> aggCalls) { | ||
| // build logical aggregate | ||
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| // Because of: | ||
| // [CALCITE-3763] RelBuilder.aggregate should prune unused fields from the input, | ||
| // if the input is a Project. | ||
| // | ||
| // the field can not be pruned if it is referenced by other expressions | ||
| // of the window aggregation(i.e. the TUMBLE_START/END). | ||
| // To solve this, we config the RelBuilder to forbidden this feature. | ||
| final LogicalAggregate aggregate = | ||
| (LogicalAggregate) | ||
| super.transform(t -> t.withPruneInputOfAggregate(false)) | ||
| .push(build()) | ||
| .aggregate(groupKey, aggCalls) | ||
| .build(); | ||
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| // build logical window aggregate from it | ||
| final RelNode windowAggregate; | ||
| if (isTableAggregate(aggregate.getAggCallList())) { | ||
| windowAggregate = | ||
| LogicalWindowTableAggregate.create(window, namedProperties, aggregate); | ||
| } else { | ||
| windowAggregate = LogicalWindowAggregate.create(window, namedProperties, aggregate); | ||
| } | ||
| return push(windowAggregate); | ||
| } | ||
|
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| /** Build watermark assigner relational node. */ | ||
| public RelBuilder watermark(int rowtimeFieldIndex, RexNode watermarkExpr) { | ||
| final RelNode input = build(); | ||
| final RelNode relNode = | ||
| LogicalWatermarkAssigner.create(cluster, input, rowtimeFieldIndex, watermarkExpr); | ||
| return push(relNode); | ||
| } | ||
|
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| public RelBuilder queryOperation(QueryOperation queryOperation) { | ||
| final RelNode relNode = queryOperation.accept(toRelNodeConverter); | ||
| return push(relNode); | ||
| } | ||
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| public RelBuilder scan(ObjectIdentifier identifier, Map<String, String> dynamicOptions) { | ||
| final List<RelHint> hints = new ArrayList<>(); | ||
| hints.add( | ||
| RelHint.builder(FlinkHints.HINT_NAME_OPTIONS).hintOptions(dynamicOptions).build()); | ||
| final ToRelContext toRelContext = ViewExpanders.simpleContext(cluster, hints); | ||
| final RelNode relNode = | ||
| relOptSchema.getTableForMember(identifier.toList()).toRel(toRelContext); | ||
| return push(relNode); | ||
| } | ||
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| @Override | ||
| public FlinkTypeFactory getTypeFactory() { | ||
| return (FlinkTypeFactory) super.getTypeFactory(); | ||
| } | ||
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| @Override | ||
| public RelBuilder transform(UnaryOperator<Config> transform) { | ||
| // Override in order to return a FlinkRelBuilder. | ||
| final Context mergedContext = | ||
| Contexts.of(transform.apply(Config.DEFAULT), cluster.getPlanner().getContext()); | ||
| return FlinkRelBuilder.of(mergedContext, cluster, relOptSchema); | ||
| } | ||
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| private static boolean isCountStarAgg(LogicalAggregate agg) { | ||
| if (agg.getGroupCount() != 0 || agg.getAggCallList().size() != 1) { | ||
| return false; | ||
| } | ||
| final AggregateCall call = agg.getAggCallList().get(0); | ||
| return call.getAggregation().getKind() == SqlKind.COUNT | ||
| && call.filterArg == -1 | ||
| && call.getArgList().isEmpty(); | ||
| } | ||
| } |
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