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https://issues.apache.org/jira/browse/FLINK-9715?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16645104#comment-16645104
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ASF GitHub Bot commented on FLINK-9715:
---------------------------------------

pnowojski commented on a change in pull request #6776: [FLINK-9715][table] 
Support temporal join with event time
URL: https://github.com/apache/flink/pull/6776#discussion_r224078378
 
 

 ##########
 File path: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/join/TemporalProcessTimeJoin.scala
 ##########
 @@ -60,32 +61,28 @@ class TemporalJoin(
     val rightStateDescriptor = new ValueStateDescriptor[Row]("right", 
rightType)
     rightState = getRuntimeContext.getState(rightStateDescriptor)
 
+    collector = new TimestampedCollector[CRow](output)
     cRowWrapper = new CRowWrappingCollector()
+    cRowWrapper.out = collector
   }
 
-  override def processElement1(
-      value: CRow,
-      ctx: CoProcessFunction[CRow, CRow, CRow]#Context,
-      out: Collector[CRow]): Unit = {
+  override def processElement1(element: StreamRecord[CRow]): Unit = {
 
     if (rightState.value() == null) {
       return
     }
 
-    cRowWrapper.out = out
-    cRowWrapper.setChange(value.change)
+    cRowWrapper.setChange(element.getValue.change)
+    collector.setTimestamp(element)
 
 Review comment:
   I removed this line

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> Support versioned joins with event time
> ---------------------------------------
>
>                 Key: FLINK-9715
>                 URL: https://issues.apache.org/jira/browse/FLINK-9715
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>    Affects Versions: 1.5.0
>            Reporter: Piotr Nowojski
>            Assignee: Piotr Nowojski
>            Priority: Major
>              Labels: pull-request-available
>
> Queries like:
> {code:java}
> SELECT 
>   o.amount * r.rate 
> FROM 
>   Orders AS o, 
>   LATERAL TABLE (Rates(o.rowtime)) AS r 
> WHERE o.currency = r.currency{code}
> should work with event time



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