Github user shijinkui commented on a diff in the pull request:
https://github.com/apache/flink/pull/3609#discussion_r108059875
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamJoin.scala
---
@@ -0,0 +1,241 @@
+/*
+ * 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.{ RelOptCluster, RelTraitSet }
+import org.apache.calcite.rel.`type`.RelDataType
+import org.apache.calcite.rel.core.AggregateCall
+import org.apache.calcite.rel.{ RelNode, RelWriter, BiRel }
+import org.apache.flink.api.java.tuple.Tuple
+import org.apache.flink.streaming.api.datastream.{ AllWindowedStream,
DataStream, KeyedStream, WindowedStream }
+import org.apache.flink.streaming.api.windowing.assigners._
+import org.apache.flink.streaming.api.windowing.time.Time
+import org.apache.flink.streaming.api.windowing.windows.{ Window =>
DataStreamWindow }
+import org.apache.flink.table.api.StreamTableEnvironment
+import org.apache.flink.table.calcite.FlinkRelBuilder.NamedWindowProperty
+import org.apache.flink.table.calcite.FlinkTypeFactory
+import org.apache.flink.table.expressions._
+import org.apache.flink.table.plan.logical._
+import org.apache.flink.table.plan.nodes.CommonAggregate
+import org.apache.flink.table.plan.nodes.datastream.DataStreamAggregate._
+import org.apache.flink.table.runtime.aggregate.AggregateUtil._
+import org.apache.flink.table.runtime.aggregate._
+import org.apache.flink.table.typeutils.TypeCheckUtils.isTimeInterval
+import org.apache.flink.table.typeutils.{ RowIntervalTypeInfo,
TimeIntervalTypeInfo }
+import org.apache.flink.types.Row
+import org.apache.calcite.rel.logical.LogicalJoin
+import org.apache.calcite.rel.core.JoinRelType
+import org.apache.flink.table.api.TableException
+import org.apache.flink.api.java.functions.KeySelector
+import org.apache.flink.api.java.typeutils.RowTypeInfo
+import org.apache.flink.streaming.api.windowing.triggers.Trigger
+import org.apache.flink.streaming.api.windowing.windows.GlobalWindow
+import
org.apache.flink.streaming.api.windowing.triggers.Trigger.TriggerContext
+import org.apache.flink.streaming.api.windowing.triggers.TriggerResult
+import
org.apache.flink.streaming.api.datastream.CoGroupedStreams.TaggedUnion
+import org.apache.flink.streaming.api.windowing.evictors.Evictor
+import
org.apache.flink.streaming.api.windowing.evictors.Evictor.EvictorContext
+import java.lang.Iterable
+import org.apache.flink.streaming.runtime.streamrecord.StreamRecord
+import
org.apache.flink.streaming.runtime.operators.windowing.TimestampedValue
+import org.apache.flink.api.common.functions.RichFlatJoinFunction
+import org.apache.flink.configuration.Configuration
+import org.apache.flink.api.common.state.ValueState
+import org.apache.flink.api.common.state.ValueStateDescriptor
+import org.apache.flink.util.Collector
+
+class DataStreamJoin(
+ calc: LogicalJoin,
+ cluster: RelOptCluster,
+ traitSet: RelTraitSet,
+ inputLeft: RelNode,
+ inputRight: RelNode,
+ rowType: RelDataType,
+ description: String)
+ extends BiRel(cluster, traitSet, inputLeft, inputRight) with
DataStreamRel {
+
+ override def deriveRowType(): RelDataType = rowType
+
+ override def copy(traitSet: RelTraitSet, inputs:
java.util.List[RelNode]): RelNode = {
+ new DataStreamJoin(
+ calc,
+ cluster,
+ traitSet,
+ inputs.get(0),
+ inputs.get(1),
+ rowType,
+ description + calc.getId())
+ }
+
+ override def toString: String = {
+ s"Join(${
+ if (!calc.getCondition.isAlwaysTrue()) {
+ s"condition: (${calc.getCondition}), "
+ } else {
+ ""
+ }
+ }left: ($inputLeft), right($inputRight))"
+ }
+
+ override def explainTerms(pw: RelWriter): RelWriter = {
+ super.explainTerms(pw)
+ .itemIf("condition", calc.getCondition,
!calc.getCondition.isAlwaysTrue())
+ .item("join", calc)
+ .item("left", inputLeft)
+ .item("right", inputRight)
+ }
+
+ override def translateToPlan(tableEnv: StreamTableEnvironment):
DataStream[Row] = {
+
+ val inputDSLeft =
inputLeft.asInstanceOf[DataStreamRel].translateToPlan(tableEnv)
+ val inputDSRight =
inputRight.asInstanceOf[DataStreamRel].translateToPlan(tableEnv)
+
+ //define the setup for various types of joins to be supported
+ (calc.getCondition.isAlwaysTrue(), calc.getJoinType) match {
+ case (true, JoinRelType.LEFT) =>
+ createInnerQueryJoin(inputDSLeft, inputDSRight)
+ case (_, _) =>
+ throw new TableException("Table does not support this type of
JOIN.")
+ }
+
+ null
+ }
+
+ def createInnerQueryJoin(
+ inputDSLeft: DataStream[Row], inputDSRight: DataStream[Row]):
DataStream[Row] = {
+
+ // get the output types
+ val rowTypeInfo =
FlinkTypeFactory.toInternalRowTypeInfo(getRowType).asInstanceOf[RowTypeInfo]
+
+ val result = inputDSLeft.join(inputDSRight)
+ .where(new EmptyKeySelector()).equalTo(new EmptyKeySelector())
+ .window(GlobalWindows.create())
+ .trigger(new ProcTimeLeftJoinTrigger())
+ .evictor(new FullEvictor())
+ .apply(new JoinProcTimeForInnerQuerry(rowTypeInfo))
+
+ null
--- End diff --
why return null
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