Github user hongyuhong commented on a diff in the pull request:
https://github.com/apache/flink/pull/3715#discussion_r115919578
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/join/ProcTimeInnerJoin.scala
---
@@ -0,0 +1,323 @@
+/*
+ * 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.runtime.join
+
+import java.util
+import java.util.{List => JList}
+
+import org.apache.flink.api.common.functions.RichFilterFunction
+import org.apache.flink.api.common.state._
+import org.apache.flink.api.common.typeinfo.{BasicTypeInfo,
TypeInformation}
+import org.apache.flink.api.java.typeutils.ListTypeInfo
+import org.apache.flink.configuration.Configuration
+import org.apache.flink.streaming.api.functions.co.CoProcessFunction
+import org.apache.flink.table.runtime.types.{CRow, CRowTypeInfo}
+import org.apache.flink.types.Row
+import org.apache.flink.util.Collector
+
+/**
+ * A CoProcessFunction to support stream join stream, currently just
support inner-join
+ *
+ * @param leftStreamWindowSize the left stream window size
+ * @param rightStreamWindowSize the right stream window size
+ * @param element1Type the input type of left stream
+ * @param element2Type the input type of right stream
+ * @param filterFunc the function of other non-equi condition include
time condition
+ *
+ */
+class ProcTimeInnerJoin(
+ private val leftStreamWindowSize: Long,
+ private val rightStreamWindowSize: Long,
+ private val element1Type: TypeInformation[CRow],
+ private val element2Type: TypeInformation[CRow],
+ private val filterFunc: RichFilterFunction[Row])
+ extends CoProcessFunction[CRow, CRow, CRow] {
+
+ private var outputC: CRow = _
+ private var listToRemove: JList[Long] = _
+
+ /** state to hold left stream element **/
+ private var row1MapState: MapState[Long, JList[Row]] = _
+ /** state to hold right stream element **/
+ private var row2MapState: MapState[Long, JList[Row]] = _
+
+ /** state to record last timer of left stream, 0 means no timer **/
+ private var timerState1: ValueState[Long] = _
+ /** state to record last timer of right stream, 0 means no timer **/
+ private var timerState2: ValueState[Long] = _
+
+
+ override def open(config: Configuration) {
+ outputC = new CRow(new Row(element1Type.getArity +
element2Type.getArity), true)
+ filterFunc.setRuntimeContext(getRuntimeContext)
+ filterFunc.open(config)
+
+ listToRemove = new util.ArrayList[Long]()
+
+ // initialize row state
+ val rowListTypeInfo1: TypeInformation[JList[Row]] =
+ new ListTypeInfo[Row](element1Type.asInstanceOf[CRowTypeInfo].rowType)
+ val mapStateDescriptor1: MapStateDescriptor[Long, JList[Row]] =
+ new MapStateDescriptor[Long, JList[Row]]("row1mapstate",
+ BasicTypeInfo.LONG_TYPE_INFO.asInstanceOf[TypeInformation[Long]],
rowListTypeInfo1)
+ row1MapState = getRuntimeContext.getMapState(mapStateDescriptor1)
+
+ val rowListTypeInfo2: TypeInformation[JList[Row]] =
+ new
ListTypeInfo[Row](element2Type.asInstanceOf[CRowTypeInfo].rowType)
+ val mapStateDescriptor2: MapStateDescriptor[Long, JList[Row]] =
+ new MapStateDescriptor[Long, JList[Row]]("row2mapstate",
+ BasicTypeInfo.LONG_TYPE_INFO.asInstanceOf[TypeInformation[Long]],
rowListTypeInfo2)
+ row2MapState = getRuntimeContext.getMapState(mapStateDescriptor2)
+
+ // initialize timer state
+ val valueStateDescriptor1: ValueStateDescriptor[Long] =
+ new ValueStateDescriptor[Long]("timervaluestate1", classOf[Long])
+ timerState1 = getRuntimeContext.getState(valueStateDescriptor1)
+
+ val valueStateDescriptor2: ValueStateDescriptor[Long] =
+ new ValueStateDescriptor[Long]("timervaluestate2", classOf[Long])
+ timerState2 = getRuntimeContext.getState(valueStateDescriptor2)
+ }
+
+ /**
+ * Process leftstream records
+ *
+ * @param valueC The input value.
+ * @param ctx The ctx to register timer or get current time
+ * @param out The collector for returning result values.
+ *
+ */
+ override def processElement1(
+ valueC: CRow,
+ ctx: CoProcessFunction[CRow, CRow, CRow]#Context,
+ out: Collector[CRow]): Unit = {
+
+ processElement(
+ valueC,
+ ctx,
+ out,
+ leftStreamWindowSize,
+ timerState1,
+ row1MapState,
+ row2MapState,
+ rightStreamWindowSize,
+ true
+ )
+ }
+
+ /**
+ * Process rightstream records
+ *
+ * @param valueC The input value.
+ * @param ctx The ctx to register timer or get current time
+ * @param out The collector for returning result values.
+ *
+ */
+ override def processElement2(
+ valueC: CRow,
+ ctx: CoProcessFunction[CRow, CRow, CRow]#Context,
+ out: Collector[CRow]): Unit = {
+
+ processElement(
+ valueC,
+ ctx,
+ out,
+ rightStreamWindowSize,
+ timerState2,
+ row2MapState,
+ row1MapState,
+ leftStreamWindowSize,
+ false
+ )
+ }
+
+ /**
+ * Called when a processing timer trigger.
+ * Expire left/right records which earlier than current time -
windowsize.
+ *
+ * @param timestamp The timestamp of the firing timer.
+ * @param ctx The ctx to register timer or get current time
+ * @param out The collector for returning result values.
+ */
+ override def onTimer(
+ timestamp: Long,
+ ctx: CoProcessFunction[CRow, CRow, CRow]#OnTimerContext,
+ out: Collector[CRow]): Unit = {
+
+ if (timerState1.value == timestamp) {
+ expireOutTimeRow(
+ timestamp,
+ leftStreamWindowSize,
+ row1MapState,
+ timerState1,
+ ctx
+ )
+ }
+
+ if (timerState2.value == timestamp) {
+ expireOutTimeRow(
+ timestamp,
+ rightStreamWindowSize,
+ row2MapState,
+ timerState2,
+ ctx
+ )
+ }
+ }
+
+ /**
+ * Puts an element from the input stream into state and search the
other state to
+ * output records meet the condition, and registers a timer for the
current record
+ * if there is no timer at present.
+ */
+ private def processElement(
+ valueC: CRow,
+ ctx: CoProcessFunction[CRow, CRow, CRow]#Context,
+ out: Collector[CRow],
+ winSize: Long,
+ timerState: ValueState[Long],
+ rowMapState: MapState[Long, JList[Row]],
+ oppoRowMapState: MapState[Long, JList[Row]],
+ oppoWinSize: Long,
+ isPositive: Boolean): Unit = {
+
+ val value = valueC.row
+
+ val curProcessTime = ctx.timerService.currentProcessingTime
+ val oppoExpiredTime =
+ if (oppoWinSize == 0) Long.MinValue else curProcessTime - oppoWinSize
+
+ // only when windowsize != 0, we need to store the element
+ if (winSize != 0) {
+ // register a timer to expire the element
+ if (timerState.value == 0 && winSize != -1) {
+ ctx.timerService.registerProcessingTimeTimer(curProcessTime +
winSize + 1)
+ timerState.update(curProcessTime + winSize + 1)
+ }
+
+ var rowList = rowMapState.get(curProcessTime)
+ if (rowList == null) {
+ rowList = new util.ArrayList[Row]()
+ }
+ rowList.add(value)
+ rowMapState.put(curProcessTime, rowList)
+
+ }
+
+ // loop the rightstream elments
+ val oppositeKeyIter = oppoRowMapState.keys().iterator()
+ while (oppositeKeyIter.hasNext) {
+ val eleTime = oppositeKeyIter.next()
+ if (eleTime < oppoExpiredTime) {
+ listToRemove.add(eleTime)
+ } else {
+ val oppoRowList = oppoRowMapState.get(eleTime)
+ var i = 0
+ while (i < oppoRowList.size) {
+ if (isPositive) {
+ compositeOutput(value, oppoRowList.get(i))
+ } else {
+ compositeOutput(oppoRowList.get(i), value)
+ }
+
+ if (filterFunc.filter(outputC.row)) {
+ out.collect(outputC)
+ }
+ i += 1
+ }
+ }
+ }
+
+ // expire records out-of-time
+ var i = listToRemove.size() - 1
+ while (i >= 0) {
+ oppoRowMapState.remove(listToRemove.get(i))
+ listToRemove.remove(i)
--- End diff --
I always remove the last element to avoid the shift operation, cause if use
clear(), it will loop the elements once again.
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