1.10 使用 flinkSQL 的row_number()函数实现top1 出现数组越界，求助社区大佬

[1101300123]

我的SQL语句如下，部分字段省略
select
   a.contact_id,
   ...
   a.code_contact_channel
  from
   (
   select
    contact_id,
    service_no,
    ...
    code_contact_channel,
    row_number() over(partition by contact_id,service_no order by operate_time desc) as rn
   from
    table1
   )a
  join (
   select
    contact_id ,
    mobile_no,
    ...
    row_number() over(partition by contact_id,mobile_no order by create_time desc) as rn
   from
    table2 )b
    on
    a.contact_id = b.contact_id
    and a.service_no = b.mobile_no
  where
   a.rn = 1
   and b.rn = 1 ;
程序部署在yarn上运行几个小时后就会出现错误日志显示如下:


[flink-akka.actor.default-dispatcher-8695] INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - Rank(strategy=[AppendFastStrategy], rankType=[ROW_NUMBER], rankRange=[rankStart=1, rankEnd=1], partitionBy=[contact_id, service_no], orderBy=[operate_time DESC], select=[operate_time, contact_id.....]) -> Calc(select=[contact_id, start_time, contact_length, service_no...code_contact_channel]) (1/1) (52b8519ad9a44832a283c1760f385bf6) switched from RUNNING to FAILED.
java.lang.ArrayIndexOutOfBoundsException: -1
 at java.util.ArrayList.elementData(ArrayList.java:422)
 at java.util.ArrayList.remove(ArrayList.java:499)
 at org.apache.flink.table.runtime.operators.rank.AppendOnlyTopNFunction.processElementWithoutRowNumber(AppendOnlyTopNFunction.java:205)
 at org.apache.flink.table.runtime.operators.rank.AppendOnlyTopNFunction.processElement(AppendOnlyTopNFunction.java:120)
 at org.apache.flink.table.runtime.operators.rank.AppendOnlyTopNFunction.processElement(AppendOnlyTopNFunction.java:46)
 at org.apache.flink.streaming.api.operators.KeyedProcessOperator.processElement(KeyedProcessOperator.java:85)
 at org.apache.flink.streaming.runtime.tasks.OneInputStreamTask$StreamTaskNetworkOutput.emitRecord(OneInputStreamTask.java:173)
 at org.apache.flink.streaming.runtime.io.StreamTaskNetworkInput.processElement(StreamTaskNetworkInput.java:151)
 at org.apache.flink.streaming.runtime.io.StreamTaskNetworkInput.emitNext(StreamTaskNetworkInput.java:128)
 at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:69)
 at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:311)
 at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:187)
 at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:487)
 at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:470)
 at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:707)
 at org.apache.flink.runtime.taskmanager.Task.run(Task.java:532)
 at java.lang.Thread.run(Thread.java:748)
[flink-akka.actor.default-dispatcher-8695] INFO org.apache.flink.runtime.executiongraph.failover.flip1.RestartPipelinedRegionStrategy - Calculating tasks to restart to recover the failed task 28aa070d07f48addbf378d6ee01a29c6_0.


topn函数flinkSQL已经支持很久了，我不清楚为什么会产生这种错误，希望各位老师给出意见

[Jark]

多谢汇报问题，这应该是一个 bug，我开了一个 issue 来跟进这个问题：
https://issues.apache.org/jira/browse/FLINK-17625

Best,
Jark

On Tue, 12 May 2020 at 09:25, 1101300123 <[hidden email]> wrote:

>
>
> 我的SQL语句如下，部分字段省略
> select
>    a.contact_id,
>    ...
>    a.code_contact_channel
>   from
>    (
>    select
>     contact_id,
>     service_no,
>     ...
>     code_contact_channel,
>     row_number() over(partition by contact_id,service_no order by
> operate_time desc) as rn
>    from
>     table1
>    )a
>   join (
>    select
>     contact_id ,
>     mobile_no,
>     ...
>     row_number() over(partition by contact_id,mobile_no order by
> create_time desc) as rn
>    from
>     table2 )b
>     on
>     a.contact_id = b.contact_id
>     and a.service_no = b.mobile_no
>   where
>    a.rn = 1
>    and b.rn = 1 ;
> 程序部署在yarn上运行几个小时后就会出现错误日志显示如下:
>
>
> [flink-akka.actor.default-dispatcher-8695] INFO
> org.apache.flink.runtime.executiongraph.ExecutionGraph -
> Rank(strategy=[AppendFastStrategy], rankType=[ROW_NUMBER],
> rankRange=[rankStart=1, rankEnd=1], partitionBy=[contact_id, service_no],
> orderBy=[operate_time DESC], select=[operate_time, contact_id.....]) ->
> Calc(select=[contact_id, start_time, contact_length,
> service_no...code_contact_channel]) (1/1)
> (52b8519ad9a44832a283c1760f385bf6) switched from RUNNING to FAILED.
> java.lang.ArrayIndexOutOfBoundsException: -1
>  at java.util.ArrayList.elementData(ArrayList.java:422)
>  at java.util.ArrayList.remove(ArrayList.java:499)
>  at
> org.apache.flink.table.runtime.operators.rank.AppendOnlyTopNFunction.processElementWithoutRowNumber(AppendOnlyTopNFunction.java:205)
>  at
> org.apache.flink.table.runtime.operators.rank.AppendOnlyTopNFunction.processElement(AppendOnlyTopNFunction.java:120)
>  at
> org.apache.flink.table.runtime.operators.rank.AppendOnlyTopNFunction.processElement(AppendOnlyTopNFunction.java:46)
>  at
> org.apache.flink.streaming.api.operators.KeyedProcessOperator.processElement(KeyedProcessOperator.java:85)
>  at
> org.apache.flink.streaming.runtime.tasks.OneInputStreamTask$StreamTaskNetworkOutput.emitRecord(OneInputStreamTask.java:173)
>  at org.apache.flink.streaming.runtime.io
> .StreamTaskNetworkInput.processElement(StreamTaskNetworkInput.java:151)
>  at org.apache.flink.streaming.runtime.io
> .StreamTaskNetworkInput.emitNext(StreamTaskNetworkInput.java:128)
>  at org.apache.flink.streaming.runtime.io
> .StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:69)
>  at
> org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:311)
>  at
> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:187)
>  at
> org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:487)
>  at
> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:470)
>  at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:707)
>  at org.apache.flink.runtime.taskmanager.Task.run(Task.java:532)
>  at java.lang.Thread.run(Thread.java:748)
> [flink-akka.actor.default-dispatcher-8695] INFO
> org.apache.flink.runtime.executiongraph.failover.flip1.RestartPipelinedRegionStrategy
> - Calculating tasks to restart to recover the failed task
> 28aa070d07f48addbf378d6ee01a29c6_0.
>
>
> topn函数flinkSQL已经支持很久了，我不清楚为什么会产生这种错误，希望各位老师给出意见
>
>