Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3715#discussion_r115855446
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamJoin.scala
---
@@ -0,0 +1,180 @@
+/*
+ * 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.nodes.datastream
+
+import org.apache.calcite.plan._
+import org.apache.calcite.rel.core.JoinRelType
+import org.apache.calcite.rel.{BiRel, RelNode, RelWriter}
+import org.apache.flink.api.common.functions.RichFilterFunction
+import org.apache.flink.api.java.functions.NullByteKeySelector
+import org.apache.flink.streaming.api.datastream.DataStream
+import org.apache.flink.table.api.{StreamTableEnvironment, TableException}
+import org.apache.flink.table.calcite.FlinkTypeFactory
+import org.apache.flink.table.plan.nodes.CommonJoin
+import org.apache.flink.table.plan.nodes.logical.FlinkLogicalJoin
+import org.apache.flink.table.plan.schema.RowSchema
+import org.apache.flink.table.runtime.join.{JoinUtil, ProcTimeInnerJoin}
+import org.apache.flink.table.runtime.types.{CRow, CRowTypeInfo}
+import org.apache.flink.types.Row
+
+/**
+ * Flink RelNode which matches along with JoinOperator and its related
operations.
+ */
+class DataStreamJoin(
+ cluster: RelOptCluster,
+ traitSet: RelTraitSet,
+ leftNode: RelNode,
+ rightNode: RelNode,
+ joinNode: FlinkLogicalJoin,
+ leftSchema: RowSchema,
+ schema: RowSchema,
+ ruleDescription: String)
+ extends BiRel(cluster, traitSet, leftNode, rightNode)
+ with CommonJoin
+ with DataStreamRel {
+
+ override def deriveRowType() = schema.logicalType
+
+ override def copy(traitSet: RelTraitSet, inputs:
java.util.List[RelNode]): RelNode = {
+ new DataStreamJoin(
+ cluster,
+ traitSet,
+ inputs.get(0),
+ inputs.get(1),
+ joinNode,
+ leftSchema,
+ schema,
+ ruleDescription)
+ }
+
+ override def toString: String = {
+
+ s"${joinTypeToString(joinNode.getJoinType)}" +
+ s"(condition: (${joinConditionToString(schema.logicalType,
+ joinNode.getCondition, getExpressionString)}), " +
+ s"select: (${joinSelectionToString(schema.logicalType)}))"
+ }
+
+ override def explainTerms(pw: RelWriter): RelWriter = {
+ super.explainTerms(pw)
+ .item("condition", joinConditionToString(schema.logicalType,
+ joinNode.getCondition, getExpressionString))
+ .item("select", joinSelectionToString(schema.logicalType))
+ .item("joinType", joinTypeToString(joinNode.getJoinType))
+ }
+
+ override def translateToPlan(tableEnv: StreamTableEnvironment):
DataStream[CRow] = {
+
+ val config = tableEnv.getConfig
+
+ // get the equality keys and other condition
+ val (leftKeys, rightKeys, otherCondition) =
+ JoinUtil.analyzeJoinCondition(joinNode, getExpressionString)
+
+ if (left.isInstanceOf[StreamTableSourceScan]
+ || right.isInstanceOf[StreamTableSourceScan]) {
+ throw new TableException(
+ "Join between stream and table is not supported yet.")
+ }
+ // analyze time boundary and time predicate type(proctime/rowtime)
+ val (timeType, leftStreamWindowSize, rightStreamWindowSize,
conditionWithoutTime) =
+ JoinUtil.analyzeTimeBoundary(
+ otherCondition,
+ leftSchema.logicalType.getFieldCount,
+ leftSchema.physicalType.getFieldCount,
+ schema.logicalType,
+ joinNode.getCluster.getRexBuilder,
+ config)
+
+ val leftDataStream =
left.asInstanceOf[DataStreamRel].translateToPlan(tableEnv)
+ val rightDataStream =
right.asInstanceOf[DataStreamRel].translateToPlan(tableEnv)
+
+ // generate other condition filter function
+ val filterFunction =
+ JoinUtil.generateFilterFunction(
+ config,
+ joinNode.getJoinType,
+ CRowTypeInfo(schema.physicalTypeInfo).rowType,
+ conditionWithoutTime,
+ ruleDescription)
+
+ joinNode.getJoinType match {
+ case JoinRelType.INNER =>
+ timeType match {
+ case _ if FlinkTypeFactory.isProctimeIndicatorType(timeType) =>
+ // Proctime JoinCoProcessFunction
+ createProcTimeInnerJoinFunction(
+ leftStreamWindowSize,
+ rightStreamWindowSize,
+ leftDataStream,
+ rightDataStream,
+ filterFunction,
+ leftKeys,
+ rightKeys
+ )
+ case _ if FlinkTypeFactory.isRowtimeIndicatorType(timeType) =>
+ // RowTime JoinCoProcessFunction
+ throw new TableException(
+ "RowTime inner join between stream and stream is not
supported yet.")
+ }
+ case JoinRelType.FULL =>
+ throw new TableException(
+ "Full join between stream and stream is not supported yet.")
+ case JoinRelType.LEFT =>
+ throw new TableException(
+ "Left join between stream and stream is not supported yet.")
+ case JoinRelType.RIGHT =>
+ throw new TableException(
+ "Right join between stream and stream is not supported yet.")
+ }
+ }
+
+ def createProcTimeInnerJoinFunction(
+ leftStreamWindowSize: Long,
+ rightStreamWindowSize: Long,
+ leftDataStream: DataStream[CRow],
+ rightDataStream: DataStream[CRow],
+ filterFunction: RichFilterFunction[Row],
+ leftKeys: Array[Int],
+ rightKeys: Array[Int]): DataStream[CRow] = {
+
+ val returnTypeInfo = CRowTypeInfo(schema.physicalTypeInfo)
+
+ val procInnerJoinFunc = new ProcTimeInnerJoin(
+ leftStreamWindowSize,
+ rightStreamWindowSize,
+ leftDataStream.getType,
+ rightDataStream.getType,
+ filterFunction)
+
+ if (!leftKeys.isEmpty) {
+ leftDataStream.connect(rightDataStream)
+ .keyBy(leftKeys, rightKeys)
+ .process(procInnerJoinFunc)
+ .returns(returnTypeInfo)
+ } else {
+ leftDataStream.connect(rightDataStream)
--- End diff --
this case should never happen because `DataStreamJoinRule` requires
`!joinInfo.pairs().isEmpty`.
I think we can remove the condition in the rule and also support non-keyed
joins.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
