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https://issues.apache.org/jira/browse/FLINK-10674?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16681288#comment-16681288
 ] 

ASF GitHub Bot commented on FLINK-10674:
----------------------------------------

ambition119 edited a comment on issue #7067: [FLINK-10674] [table] 
DistinctAccumulator.remove occur NPE
URL: https://github.com/apache/flink/pull/7067#issuecomment-437321281
 
 
   Complex Event Processing (CEP) SQL Realization  is a new feature. Use 
statement :
   ```sql 
   SELECT [ ALL | DISTINCT ]
   { * | projectItem [, projectItem ]* }
   FROM tableExpression
   [MATCH_RECOGNIZE (
   [PARTITION BY {partitionItem [, partitionItem]*}]
   [ORDER BY {orderItem [, orderItem]*}]
   [MEASURES {measureItem AS col [, measureItem AS col]*}]
   [ONE ROW PER MATCH|ALL ROWS PER MATCH|ONE ROW PER MATCH WITH TIMEOUT 
ROWS|ALL ROWS PER MATCH WITH TIMEOUT ROWS]
   [AFTER MATCH SKIP]
   PATTERN (patternVariable[quantifier] [ patternVariable[quantifier]]*) WITHIN 
intervalExpression
   DEFINE {patternVariable AS patternDefinationExpression [, patternVariable AS 
patternDefinationExpression]*}
   )];
   
   ```
   I cann't create new pull request, sorry

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> DistinctAccumulator.remove lead to NPE
> --------------------------------------
>
>                 Key: FLINK-10674
>                 URL: https://issues.apache.org/jira/browse/FLINK-10674
>             Project: Flink
>          Issue Type: Bug
>          Components: Table API & SQL
>    Affects Versions: 1.6.1
>         Environment: Flink 1.6.0
>            Reporter: ambition
>            Assignee: winifredtang
>            Priority: Minor
>              Labels: pull-request-available
>         Attachments: image-2018-10-25-14-46-03-373.png
>
>
> Our online Flink Job run about a week,job contain sql :
> {code:java}
> select  `time`,  
>         lower(trim(os_type)) as os_type, 
>         count(distinct feed_id) as feed_total_view  
> from  my_table 
> group by `time`, lower(trim(os_type)){code}
>  
>   then occur NPE: 
>  
> {code:java}
> java.lang.NullPointerException
> at scala.Predef$.Long2long(Predef.scala:363)
> at 
> org.apache.flink.table.functions.aggfunctions.DistinctAccumulator.remove(DistinctAccumulator.scala:109)
> at NonWindowedAggregationHelper$894.retract(Unknown Source)
> at 
> org.apache.flink.table.runtime.aggregate.GroupAggProcessFunction.processElement(GroupAggProcessFunction.scala:124)
> at 
> org.apache.flink.table.runtime.aggregate.GroupAggProcessFunction.processElement(GroupAggProcessFunction.scala:39)
> at 
> org.apache.flink.streaming.api.operators.LegacyKeyedProcessOperator.processElement(LegacyKeyedProcessOperator.java:88)
> at 
> org.apache.flink.streaming.runtime.io.StreamInputProcessor.processInput(StreamInputProcessor.java:202)
> at 
> org.apache.flink.streaming.runtime.tasks.OneInputStreamTask.run(OneInputStreamTask.java:105)
> at 
> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:300)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)
> at java.lang.Thread.run(Thread.java:745)
> {code}
>  
>  
> View DistinctAccumulator.remove
> !image-2018-10-25-14-46-03-373.png!
>  
> this NPE should currentCnt = null lead to, so we simple handle like :
> {code:java}
> def remove(params: Row): Boolean = {
>   if(!distinctValueMap.contains(params)){
>     true
>   }else{
>     val currentCnt = distinctValueMap.get(params)
>     // 
>     if (currentCnt == null || currentCnt == 1) {
>       distinctValueMap.remove(params)
>       true
>     } else {
>       var value = currentCnt - 1L
>       if(value < 0){
>         value = 1
>       }
>       distinctValueMap.put(params, value)
>       false
>     }
>   }
> }{code}
>  
>  



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