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ASF GitHub Bot commented on FLINK-6094: --------------------------------------- Github user xccui commented on a diff in the pull request: https://github.com/apache/flink/pull/4471#discussion_r146104539 --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/rules/datastream/DataStreamJoinRule.scala --- @@ -0,0 +1,112 @@ +/* + * 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.flink.table.plan.rules.datastream + +import org.apache.calcite.plan.{RelOptRule, RelOptRuleCall, RelTraitSet} +import org.apache.calcite.rel.RelNode +import org.apache.calcite.rel.`type`.RelDataType +import org.apache.calcite.rel.convert.ConverterRule +import org.apache.calcite.rex.{RexCall, RexInputRef, RexNode} +import org.apache.flink.table.api.TableConfig +import org.apache.flink.table.plan.nodes.FlinkConventions +import org.apache.flink.table.plan.nodes.datastream.DataStreamJoin +import org.apache.flink.table.plan.nodes.logical.FlinkLogicalJoin +import org.apache.flink.table.plan.schema.{RowSchema, TimeIndicatorRelDataType} +import org.apache.flink.table.runtime.join.WindowJoinUtil + +import scala.collection.JavaConverters._ + +class DataStreamJoinRule + extends ConverterRule( + classOf[FlinkLogicalJoin], + FlinkConventions.LOGICAL, + FlinkConventions.DATASTREAM, + "DataStreamJoinRule") { + + /** + * Checks if an expression accesses a time attribute. + * + * @param expr The expression to check. + * @param inputType The input type of the expression. + * @return True, if the expression accesses a time attribute. False otherwise. + */ + def accessesTimeAttribute(expr: RexNode, inputType: RelDataType): Boolean = { + expr match { + case i: RexInputRef => + val accessedType = inputType.getFieldList.get(i.getIndex).getType + accessedType match { + case _: TimeIndicatorRelDataType => true + case _ => false + } + case c: RexCall => + c.operands.asScala.exists(accessesTimeAttribute(_, inputType)) + case _ => false + } + } + + override def matches(call: RelOptRuleCall): Boolean = { + val join: FlinkLogicalJoin = call.rel(0).asInstanceOf[FlinkLogicalJoin] + val joinInfo = join.analyzeCondition + + val (windowBounds, remainingPreds) = WindowJoinUtil.extractWindowBoundsFromPredicate( + joinInfo.getRemaining(join.getCluster.getRexBuilder), + join.getLeft.getRowType.getFieldCount, + join.getRowType, + join.getCluster.getRexBuilder, + TableConfig.DEFAULT) + + // remaining predicate must not access time attributes + val remainingPredsAccessTime = remainingPreds.isDefined && + accessesTimeAttribute(remainingPreds.get, join.getRowType) --- End diff -- Why this condition must be held? What if there exist a predicate that defines only one bound of the time-window? > Implement stream-stream proctime non-window inner join > ------------------------------------------------------- > > Key: FLINK-6094 > URL: https://issues.apache.org/jira/browse/FLINK-6094 > Project: Flink > Issue Type: New Feature > Components: Table API & SQL > Reporter: Shaoxuan Wang > Assignee: Hequn Cheng > > This includes: > 1.Implement stream-stream proctime non-window inner join > 2.Implement the retract process logic for join -- This message was sent by Atlassian JIRA (v6.4.14#64029)