aokolnychyi commented on code in PR #36304: URL: https://github.com/apache/spark/pull/36304#discussion_r984981870
########## sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/RowLevelOperationRuntimeGroupFiltering.scala: ########## @@ -0,0 +1,98 @@ +/* + * 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. + */ + +package org.apache.spark.sql.execution.dynamicpruning + +import org.apache.spark.sql.catalyst.expressions.{And, Attribute, DynamicPruningSubquery, Expression, PredicateHelper, V2ExpressionUtils} +import org.apache.spark.sql.catalyst.expressions.Literal.TrueLiteral +import org.apache.spark.sql.catalyst.planning.GroupBasedRowLevelOperation +import org.apache.spark.sql.catalyst.plans.logical.{Filter, LogicalPlan, Project} +import org.apache.spark.sql.catalyst.rules.Rule +import org.apache.spark.sql.connector.read.SupportsRuntimeV2Filtering +import org.apache.spark.sql.execution.datasources.v2.{DataSourceV2Implicits, DataSourceV2Relation, DataSourceV2ScanRelation} + +/** + * A rule that assigns a subquery to filter groups in row-level operations at runtime. + * + * Data skipping during job planning for row-level operations is limited to expressions that can be + * converted to data source filters. Since not all expressions can be pushed down that way and + * rewriting groups is expensive, Spark allows data sources to filter group at runtime. + * If the primary scan in a group-based row-level operation supports runtime filtering, this rule + * will inject a subquery to find all rows that match the condition so that data sources know + * exactly which groups must be rewritten. + * + * Note this rule only applies to group-based row-level operations. + */ +case class RowLevelOperationRuntimeGroupFiltering(optimizeSubqueries: Rule[LogicalPlan]) + extends Rule[LogicalPlan] with PredicateHelper { + + import DataSourceV2Implicits._ + + override def apply(plan: LogicalPlan): LogicalPlan = plan transformDown { + // apply special dynamic filtering only for group-based row-level operations + case GroupBasedRowLevelOperation(replaceData, cond, + DataSourceV2ScanRelation(_, scan: SupportsRuntimeV2Filtering, _, _, _)) + if conf.runtimeRowLevelOperationGroupFilterEnabled && cond != TrueLiteral => + + // use reference equality on scan to find required scan relations + val newQuery = replaceData.query transformUp { + case r: DataSourceV2ScanRelation if r.scan eq scan => + // use the original table instance that was loaded for this row-level operation + // in order to leverage a regular batch scan in the group filter query + val originalTable = r.relation.table.asRowLevelOperationTable.table + val relation = r.relation.copy(table = originalTable) Review Comment: We build `DataSourceV2Relation` and trigger planning so the scan can prune columns and push filters into groups. ########## sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/RowLevelOperationRuntimeGroupFiltering.scala: ########## @@ -0,0 +1,98 @@ +/* + * 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. + */ + +package org.apache.spark.sql.execution.dynamicpruning + +import org.apache.spark.sql.catalyst.expressions.{And, Attribute, DynamicPruningSubquery, Expression, PredicateHelper, V2ExpressionUtils} +import org.apache.spark.sql.catalyst.expressions.Literal.TrueLiteral +import org.apache.spark.sql.catalyst.planning.GroupBasedRowLevelOperation +import org.apache.spark.sql.catalyst.plans.logical.{Filter, LogicalPlan, Project} +import org.apache.spark.sql.catalyst.rules.Rule +import org.apache.spark.sql.connector.read.SupportsRuntimeV2Filtering +import org.apache.spark.sql.execution.datasources.v2.{DataSourceV2Implicits, DataSourceV2Relation, DataSourceV2ScanRelation} + +/** + * A rule that assigns a subquery to filter groups in row-level operations at runtime. + * + * Data skipping during job planning for row-level operations is limited to expressions that can be + * converted to data source filters. Since not all expressions can be pushed down that way and + * rewriting groups is expensive, Spark allows data sources to filter group at runtime. + * If the primary scan in a group-based row-level operation supports runtime filtering, this rule + * will inject a subquery to find all rows that match the condition so that data sources know + * exactly which groups must be rewritten. + * + * Note this rule only applies to group-based row-level operations. + */ +case class RowLevelOperationRuntimeGroupFiltering(optimizeSubqueries: Rule[LogicalPlan]) + extends Rule[LogicalPlan] with PredicateHelper { + + import DataSourceV2Implicits._ + + override def apply(plan: LogicalPlan): LogicalPlan = plan transformDown { + // apply special dynamic filtering only for group-based row-level operations + case GroupBasedRowLevelOperation(replaceData, cond, + DataSourceV2ScanRelation(_, scan: SupportsRuntimeV2Filtering, _, _, _)) + if conf.runtimeRowLevelOperationGroupFilterEnabled && cond != TrueLiteral => + + // use reference equality on scan to find required scan relations + val newQuery = replaceData.query transformUp { + case r: DataSourceV2ScanRelation if r.scan eq scan => + // use the original table instance that was loaded for this row-level operation + // in order to leverage a regular batch scan in the group filter query + val originalTable = r.relation.table.asRowLevelOperationTable.table + val relation = r.relation.copy(table = originalTable) Review Comment: We build `DataSourceV2Relation` so the scan can prune columns and push filters into groups. -- This is an automated message from the Apache Git Service. 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