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From fhueske <...@git.apache.org>
Subject [GitHub] flink pull request #3715: [FLINK-6232][Table&SQL]Support proctime inner equi...
Date Wed, 10 May 2017 23:25:40 GMT
Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3715#discussion_r115873645
  
    --- 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)
    +      i -= 1
    +    }
    +  }
    +
    +  /**
    +    * set output fields according left and right stream row
    +    */
    +  private def compositeOutput(
    +     leftRow: Row,
    +     rightRow: Row): Unit = {
    +
    +    var i = 0
    +    while (i < element1Type.getArity) {
    +      outputC.row.setField(i, leftRow.getField(i))
    +      i += 1
    +    }
    +
    +    i = 0
    +    while (i < element2Type.getArity) {
    +      outputC.row.setField(i + element1Type.getArity, rightRow.getField(i))
    +      i += 1
    +    }
    +
    +  }
    +
    +  /**
    +    * expire records which before curTime - windowSize,
    +    * and register a timer if still exist records.
    +    * Ensure that one key only has one timer, so register another
    +    * timer until last timer trigger.
    +    */
    +  private def expireOutTimeRow(
    +    curTime: Long,
    +    winSize: Long,
    +    rowMapState: MapState[Long, JList[Row]],
    +    timerState: ValueState[Long],
    +    ctx: CoProcessFunction[CRow, CRow, CRow]#OnTimerContext): Unit = {
    +
    +    val expiredTime = curTime - winSize
    +    val expiredList = new util.ArrayList[Long]
    --- End diff --
    
    We could use `listToRemove` here and call `clear()` when we are done.


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