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Posted to user@flink.apache.org by Fanbin Bu <fa...@coinbase.com> on 2020/02/05 23:50:46 UTC

Re: batch job OOM

Jingsong,

I created https://issues.apache.org/jira/browse/FLINK-15928 to track the
issue. Let me know if you need anything else to debug.

Thanks,
Fanbin


On Tue, Jan 28, 2020 at 12:54 AM Arvid Heise <ar...@ververica.com> wrote:

> Hi Fanbin,
>
> you could use the RC1 of Flink that was created yesterday and use the
> apache repo
> https://repository.apache.org/content/repositories/orgapacheflink-1325/org/apache/flink/flink-json/1.10.0/
> .
> Alternatively, if you build Flink locally with `mvn install`, then you
> could use mavenLocal() in your gradle.build and feed from that.
>
> Best,
>
> Arvid
>
> On Tue, Jan 28, 2020 at 1:24 AM Fanbin Bu <fa...@coinbase.com> wrote:
>
>> I can build flink 1.10 and install it on to EMR
>> (flink-dist_2.11-1.10.0.jar). but what about other dependencies in my
>> project build.gradle, ie. flink-scala_2.11, flink-json, flink-jdbc... do I
>> continue to use 1.9.0 since there is no 1.10 available?
>>
>> Thanks,
>> Fanbin
>>
>> On Fri, Jan 24, 2020 at 11:39 PM Bowen Li <bo...@gmail.com> wrote:
>>
>>> Hi Fanbin,
>>>
>>> You can install your own Flink build in AWS EMR, and it frees you from
>>> Emr’s release cycles
>>>
>>> On Thu, Jan 23, 2020 at 03:36 Jingsong Li <ji...@gmail.com>
>>> wrote:
>>>
>>>> Fanbin,
>>>>
>>>> I have no idea now, can you created a JIRA to track it? You can
>>>> describe complete SQL and some data informations.
>>>>
>>>> Best,
>>>> Jingsong Lee
>>>>
>>>> On Thu, Jan 23, 2020 at 4:13 PM Fanbin Bu <fa...@coinbase.com>
>>>> wrote:
>>>>
>>>>> Jingsong,
>>>>>
>>>>> Do you have any suggestions to debug the above mentioned
>>>>> IndexOutOfBoundsException error?
>>>>> Thanks,
>>>>>
>>>>> Fanbin
>>>>>
>>>>> On Wed, Jan 22, 2020 at 11:07 PM Fanbin Bu <fa...@coinbase.com>
>>>>> wrote:
>>>>>
>>>>>> I got the following error when running another job. any suggestions?
>>>>>>
>>>>>> Caused by: java.lang.IndexOutOfBoundsException
>>>>>> at
>>>>>> org.apache.flink.core.memory.MemorySegment.getInt(MemorySegment.java:701)
>>>>>> at
>>>>>> org.apache.flink.table.dataformat.BinaryRow.getInt(BinaryRow.java:264)
>>>>>> at HashWinAggWithKeys$538.endInput(Unknown Source)
>>>>>> at
>>>>>> org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276)
>>>>>> at
>>>>>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151)
>>>>>> at
>>>>>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138)
>>>>>> at
>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276)
>>>>>> at
>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298)
>>>>>> at
>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403)
>>>>>> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705)
>>>>>> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
>>>>>> at java.lang.Thread.run(Thread.java:748)
>>>>>>
>>>>>> On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu <fa...@coinbase.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Jingsong,
>>>>>>>
>>>>>>> I set the config value to be too large. After I changed it to a
>>>>>>> smaller number it works now!
>>>>>>> thanks you for the help. really appreciate it!
>>>>>>>
>>>>>>> Fanbin
>>>>>>>
>>>>>>> On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li <ji...@gmail.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> Fanbin,
>>>>>>>>
>>>>>>>> Looks like your config is wrong, can you show your config code?
>>>>>>>>
>>>>>>>> Best,
>>>>>>>> Jingsong Lee
>>>>>>>>
>>>>>>>> On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu <fa...@coinbase.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> Jingsong,
>>>>>>>>>
>>>>>>>>> Great, now i got a different error:
>>>>>>>>>
>>>>>>>>> java.lang.NullPointerException: Initial Segment may not be null
>>>>>>>>> 	at org.apache.flink.runtime.memory.AbstractPagedOutputView.<init>(AbstractPagedOutputView.java:65)
>>>>>>>>> 	at org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.<init>(SimpleCollectingOutputView.java:49)
>>>>>>>>> 	at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.<init>(BytesHashMap.java:522)
>>>>>>>>> 	at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.<init>(BytesHashMap.java:190)
>>>>>>>>> 	at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.<init>(BytesHashMap.java:149)
>>>>>>>>> 	at LocalHashWinAggWithKeys$292.open(Unknown Source)
>>>>>>>>> 	at org.apache.flink.streaming.runtime.tasks.StreamTask.openAllOperators(StreamTask.java:529)
>>>>>>>>> 	at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:393)
>>>>>>>>> 	at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705)
>>>>>>>>> 	at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
>>>>>>>>> 	at java.lang.Thread.run(Thread.java:748)
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> is there any other config i should add?
>>>>>>>>>
>>>>>>>>> thanks,
>>>>>>>>>
>>>>>>>>> Fanbin
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> On Wed, Jan 22, 2020 at 8:07 PM Fanbin Bu <fa...@coinbase.com>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> you beat me to it.
>>>>>>>>>> let's me try that.
>>>>>>>>>>
>>>>>>>>>> On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li <
>>>>>>>>>> jingsonglee0@gmail.com> wrote:
>>>>>>>>>>
>>>>>>>>>>> Fanbin,
>>>>>>>>>>>
>>>>>>>>>>> Document is here:
>>>>>>>>>>> https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/table/config.html
>>>>>>>>>>> NOTE: you need configure this into TableConfig.
>>>>>>>>>>>
>>>>>>>>>>> Best,
>>>>>>>>>>> Jingsong Lee
>>>>>>>>>>>
>>>>>>>>>>> On Thu, Jan 23, 2020 at 11:54 AM Fanbin Bu <
>>>>>>>>>>> fanbin.bu@coinbase.com> wrote:
>>>>>>>>>>>
>>>>>>>>>>>> Jingsong,
>>>>>>>>>>>>
>>>>>>>>>>>> Thank you for the response.
>>>>>>>>>>>> Since I'm using flink on EMR and the latest version is 1.9 now.
>>>>>>>>>>>> the second option is ruled out. but will keep that in mind for future
>>>>>>>>>>>> upgrade.
>>>>>>>>>>>>
>>>>>>>>>>>> I'm going to try the first option. It's probably a good idea to
>>>>>>>>>>>> add that in the doc for example:
>>>>>>>>>>>> https://ci.apache.org/projects/flink/flink-docs-stable/ops/config.html
>>>>>>>>>>>>
>>>>>>>>>>>> Thanks,
>>>>>>>>>>>> Fanbin
>>>>>>>>>>>>
>>>>>>>>>>>> On Wed, Jan 22, 2020 at 7:08 PM Jingsong Li <
>>>>>>>>>>>> jingsonglee0@gmail.com> wrote:
>>>>>>>>>>>>
>>>>>>>>>>>>> Hi Fanbin,
>>>>>>>>>>>>>
>>>>>>>>>>>>> Thanks for using blink batch mode.
>>>>>>>>>>>>>
>>>>>>>>>>>>> The OOM is caused by the manage memory not enough in Hash
>>>>>>>>>>>>> aggregation.
>>>>>>>>>>>>>
>>>>>>>>>>>>> There are three options you can choose from:
>>>>>>>>>>>>>
>>>>>>>>>>>>> 1.Is your version Flink 1.9? 1.9 still use fix memory
>>>>>>>>>>>>> configuration. So you need increase hash memory:
>>>>>>>>>>>>> - table.exec.resource.hash-agg.memory: 1024 mb
>>>>>>>>>>>>>
>>>>>>>>>>>>> 2.In 1.10, we use slot manage memory to dynamic config real
>>>>>>>>>>>>> operator memory, so operator can use more manage memory, so you don't need
>>>>>>>>>>>>> configure hash agg memory anymore. You can try 1.10 RC0 [1]
>>>>>>>>>>>>>
>>>>>>>>>>>>> 3.We can use sort aggregation to avoid OOM too, but there is
>>>>>>>>>>>>> no config option now, I created JIRA to track it. [2]
>>>>>>>>>>>>>
>>>>>>>>>>>>> [1]
>>>>>>>>>>>>> http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/ANNOUNCE-Apache-Flink-1-10-0-release-candidate-0-td36770.html
>>>>>>>>>>>>> [2] https://issues.apache.org/jira/browse/FLINK-15732
>>>>>>>>>>>>>
>>>>>>>>>>>>> Best,
>>>>>>>>>>>>> Jingsong Lee
>>>>>>>>>>>>>
>>>>>>>>>>>>> On Thu, Jan 23, 2020 at 7:40 AM Fanbin Bu <
>>>>>>>>>>>>> fanbin.bu@coinbase.com> wrote:
>>>>>>>>>>>>>
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> tried to increase memory:
>>>>>>>>>>>>>> flink run  -m yarn-cluster -p 16 -ys 1 -ytm 200000 -yjm 8096 myjar
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> and still got the same OOM exception.
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> my sql is like:
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> select id, hop_end(created_at, interval '30' second, interval '1' minute), sum(field)... #20 of these sums
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> from table group by id, hop(created_at, interval '30' second, interval '1' minute)
>>>>>>>>>>>>>>
>>>>>>>>>>>>>>
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> On Wed, Jan 22, 2020 at 3:19 PM Fanbin Bu <
>>>>>>>>>>>>>> fanbin.bu@coinbase.com> wrote:
>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> Hi,
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> I have a batch job using blink planner. and got the
>>>>>>>>>>>>>>> following error. I was able to successfully run the same job with flink 1.8
>>>>>>>>>>>>>>> on yarn.
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> I set conf as:
>>>>>>>>>>>>>>> taskmanager.heap.size: 50000m
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> and flink UI gives me
>>>>>>>>>>>>>>> Last Heartbeat:20-01-22
>>>>>>>>>>>>>>> 14:56:25ID:container_1579720108062_0018_01_000020Data Port:41029Free Slots
>>>>>>>>>>>>>>> / All Slots:1 / 0CPU Cores:16Physical Memory:62.9 GBJVM Heap Size:10.3
>>>>>>>>>>>>>>> GBFlink Managed Memory:24.9 GB
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> any suggestions on how to move forward?
>>>>>>>>>>>>>>> Thanks,
>>>>>>>>>>>>>>> Fanbin
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> Caused by:
>>>>>>>>>>>>>>> org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>> org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:146)
>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>> org.apache.flink.client.program.rest.RestClusterClient.submitJob(RestClusterClient.java:259)
>>>>>>>>>>>>>>> ... 25 more
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> *Caused by: java.io.IOException: Hash window aggregate map
>>>>>>>>>>>>>>> OOM.* at HashWinAggWithKeys$534.processElement(Unknown
>>>>>>>>>>>>>>> Source)
>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processElement(StreamOneInputProcessor.java:164)
>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:143)
>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276)
>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298)
>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403)
>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>> org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705)
>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>> org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
>>>>>>>>>>>>>>> at java.lang.Thread.run(Thread.java:748)
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> --
>>>>>>>>>>>>> Best, Jingsong Lee
>>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> --
>>>>>>>>>>> Best, Jingsong Lee
>>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>
>>>>>>>> --
>>>>>>>> Best, Jingsong Lee
>>>>>>>>
>>>>>>>
>>>>
>>>> --
>>>> Best, Jingsong Lee
>>>>
>>>

Re: batch job OOM

Posted by Jingsong Li <ji...@gmail.com>.
Thanks Fanbin,

I will try to find the bug, and track it.

Best,
Jingsong Lee

On Thu, Feb 6, 2020 at 7:50 AM Fanbin Bu <fa...@coinbase.com> wrote:

> Jingsong,
>
> I created https://issues.apache.org/jira/browse/FLINK-15928 to track the
> issue. Let me know if you need anything else to debug.
>
> Thanks,
> Fanbin
>
>
> On Tue, Jan 28, 2020 at 12:54 AM Arvid Heise <ar...@ververica.com> wrote:
>
>> Hi Fanbin,
>>
>> you could use the RC1 of Flink that was created yesterday and use the
>> apache repo
>> https://repository.apache.org/content/repositories/orgapacheflink-1325/org/apache/flink/flink-json/1.10.0/
>> .
>> Alternatively, if you build Flink locally with `mvn install`, then you
>> could use mavenLocal() in your gradle.build and feed from that.
>>
>> Best,
>>
>> Arvid
>>
>> On Tue, Jan 28, 2020 at 1:24 AM Fanbin Bu <fa...@coinbase.com> wrote:
>>
>>> I can build flink 1.10 and install it on to EMR
>>> (flink-dist_2.11-1.10.0.jar). but what about other dependencies in my
>>> project build.gradle, ie. flink-scala_2.11, flink-json, flink-jdbc... do I
>>> continue to use 1.9.0 since there is no 1.10 available?
>>>
>>> Thanks,
>>> Fanbin
>>>
>>> On Fri, Jan 24, 2020 at 11:39 PM Bowen Li <bo...@gmail.com> wrote:
>>>
>>>> Hi Fanbin,
>>>>
>>>> You can install your own Flink build in AWS EMR, and it frees you from
>>>> Emr’s release cycles
>>>>
>>>> On Thu, Jan 23, 2020 at 03:36 Jingsong Li <ji...@gmail.com>
>>>> wrote:
>>>>
>>>>> Fanbin,
>>>>>
>>>>> I have no idea now, can you created a JIRA to track it? You can
>>>>> describe complete SQL and some data informations.
>>>>>
>>>>> Best,
>>>>> Jingsong Lee
>>>>>
>>>>> On Thu, Jan 23, 2020 at 4:13 PM Fanbin Bu <fa...@coinbase.com>
>>>>> wrote:
>>>>>
>>>>>> Jingsong,
>>>>>>
>>>>>> Do you have any suggestions to debug the above mentioned
>>>>>> IndexOutOfBoundsException error?
>>>>>> Thanks,
>>>>>>
>>>>>> Fanbin
>>>>>>
>>>>>> On Wed, Jan 22, 2020 at 11:07 PM Fanbin Bu <fa...@coinbase.com>
>>>>>> wrote:
>>>>>>
>>>>>>> I got the following error when running another job. any suggestions?
>>>>>>>
>>>>>>> Caused by: java.lang.IndexOutOfBoundsException
>>>>>>> at
>>>>>>> org.apache.flink.core.memory.MemorySegment.getInt(MemorySegment.java:701)
>>>>>>> at
>>>>>>> org.apache.flink.table.dataformat.BinaryRow.getInt(BinaryRow.java:264)
>>>>>>> at HashWinAggWithKeys$538.endInput(Unknown Source)
>>>>>>> at
>>>>>>> org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276)
>>>>>>> at
>>>>>>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151)
>>>>>>> at
>>>>>>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138)
>>>>>>> at
>>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276)
>>>>>>> at
>>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298)
>>>>>>> at
>>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403)
>>>>>>> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705)
>>>>>>> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
>>>>>>> at java.lang.Thread.run(Thread.java:748)
>>>>>>>
>>>>>>> On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu <fa...@coinbase.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> Jingsong,
>>>>>>>>
>>>>>>>> I set the config value to be too large. After I changed it to a
>>>>>>>> smaller number it works now!
>>>>>>>> thanks you for the help. really appreciate it!
>>>>>>>>
>>>>>>>> Fanbin
>>>>>>>>
>>>>>>>> On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li <ji...@gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> Fanbin,
>>>>>>>>>
>>>>>>>>> Looks like your config is wrong, can you show your config code?
>>>>>>>>>
>>>>>>>>> Best,
>>>>>>>>> Jingsong Lee
>>>>>>>>>
>>>>>>>>> On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu <fa...@coinbase.com>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> Jingsong,
>>>>>>>>>>
>>>>>>>>>> Great, now i got a different error:
>>>>>>>>>>
>>>>>>>>>> java.lang.NullPointerException: Initial Segment may not be null
>>>>>>>>>> 	at org.apache.flink.runtime.memory.AbstractPagedOutputView.<init>(AbstractPagedOutputView.java:65)
>>>>>>>>>> 	at org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.<init>(SimpleCollectingOutputView.java:49)
>>>>>>>>>> 	at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.<init>(BytesHashMap.java:522)
>>>>>>>>>> 	at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.<init>(BytesHashMap.java:190)
>>>>>>>>>> 	at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.<init>(BytesHashMap.java:149)
>>>>>>>>>> 	at LocalHashWinAggWithKeys$292.open(Unknown Source)
>>>>>>>>>> 	at org.apache.flink.streaming.runtime.tasks.StreamTask.openAllOperators(StreamTask.java:529)
>>>>>>>>>> 	at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:393)
>>>>>>>>>> 	at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705)
>>>>>>>>>> 	at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
>>>>>>>>>> 	at java.lang.Thread.run(Thread.java:748)
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> is there any other config i should add?
>>>>>>>>>>
>>>>>>>>>> thanks,
>>>>>>>>>>
>>>>>>>>>> Fanbin
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> On Wed, Jan 22, 2020 at 8:07 PM Fanbin Bu <fa...@coinbase.com>
>>>>>>>>>> wrote:
>>>>>>>>>>
>>>>>>>>>>> you beat me to it.
>>>>>>>>>>> let's me try that.
>>>>>>>>>>>
>>>>>>>>>>> On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li <
>>>>>>>>>>> jingsonglee0@gmail.com> wrote:
>>>>>>>>>>>
>>>>>>>>>>>> Fanbin,
>>>>>>>>>>>>
>>>>>>>>>>>> Document is here:
>>>>>>>>>>>> https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/table/config.html
>>>>>>>>>>>> NOTE: you need configure this into TableConfig.
>>>>>>>>>>>>
>>>>>>>>>>>> Best,
>>>>>>>>>>>> Jingsong Lee
>>>>>>>>>>>>
>>>>>>>>>>>> On Thu, Jan 23, 2020 at 11:54 AM Fanbin Bu <
>>>>>>>>>>>> fanbin.bu@coinbase.com> wrote:
>>>>>>>>>>>>
>>>>>>>>>>>>> Jingsong,
>>>>>>>>>>>>>
>>>>>>>>>>>>> Thank you for the response.
>>>>>>>>>>>>> Since I'm using flink on EMR and the latest version is 1.9
>>>>>>>>>>>>> now. the second option is ruled out. but will keep that in mind for future
>>>>>>>>>>>>> upgrade.
>>>>>>>>>>>>>
>>>>>>>>>>>>> I'm going to try the first option. It's probably a good idea
>>>>>>>>>>>>> to add that in the doc for example:
>>>>>>>>>>>>> https://ci.apache.org/projects/flink/flink-docs-stable/ops/config.html
>>>>>>>>>>>>>
>>>>>>>>>>>>> Thanks,
>>>>>>>>>>>>> Fanbin
>>>>>>>>>>>>>
>>>>>>>>>>>>> On Wed, Jan 22, 2020 at 7:08 PM Jingsong Li <
>>>>>>>>>>>>> jingsonglee0@gmail.com> wrote:
>>>>>>>>>>>>>
>>>>>>>>>>>>>> Hi Fanbin,
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> Thanks for using blink batch mode.
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> The OOM is caused by the manage memory not enough in Hash
>>>>>>>>>>>>>> aggregation.
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> There are three options you can choose from:
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> 1.Is your version Flink 1.9? 1.9 still use fix memory
>>>>>>>>>>>>>> configuration. So you need increase hash memory:
>>>>>>>>>>>>>> - table.exec.resource.hash-agg.memory: 1024 mb
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> 2.In 1.10, we use slot manage memory to dynamic config real
>>>>>>>>>>>>>> operator memory, so operator can use more manage memory, so you don't need
>>>>>>>>>>>>>> configure hash agg memory anymore. You can try 1.10 RC0 [1]
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> 3.We can use sort aggregation to avoid OOM too, but there is
>>>>>>>>>>>>>> no config option now, I created JIRA to track it. [2]
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> [1]
>>>>>>>>>>>>>> http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/ANNOUNCE-Apache-Flink-1-10-0-release-candidate-0-td36770.html
>>>>>>>>>>>>>> [2] https://issues.apache.org/jira/browse/FLINK-15732
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> Best,
>>>>>>>>>>>>>> Jingsong Lee
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> On Thu, Jan 23, 2020 at 7:40 AM Fanbin Bu <
>>>>>>>>>>>>>> fanbin.bu@coinbase.com> wrote:
>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> tried to increase memory:
>>>>>>>>>>>>>>> flink run  -m yarn-cluster -p 16 -ys 1 -ytm 200000 -yjm 8096 myjar
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> and still got the same OOM exception.
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> my sql is like:
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> select id, hop_end(created_at, interval '30' second, interval '1' minute), sum(field)... #20 of these sums
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> from table group by id, hop(created_at, interval '30' second, interval '1' minute)
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> On Wed, Jan 22, 2020 at 3:19 PM Fanbin Bu <
>>>>>>>>>>>>>>> fanbin.bu@coinbase.com> wrote:
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> Hi,
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> I have a batch job using blink planner. and got the
>>>>>>>>>>>>>>>> following error. I was able to successfully run the same job with flink 1.8
>>>>>>>>>>>>>>>> on yarn.
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> I set conf as:
>>>>>>>>>>>>>>>> taskmanager.heap.size: 50000m
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> and flink UI gives me
>>>>>>>>>>>>>>>> Last Heartbeat:20-01-22
>>>>>>>>>>>>>>>> 14:56:25ID:container_1579720108062_0018_01_000020Data Port:41029Free Slots
>>>>>>>>>>>>>>>> / All Slots:1 / 0CPU Cores:16Physical Memory:62.9 GBJVM Heap Size:10.3
>>>>>>>>>>>>>>>> GBFlink Managed Memory:24.9 GB
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> any suggestions on how to move forward?
>>>>>>>>>>>>>>>> Thanks,
>>>>>>>>>>>>>>>> Fanbin
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> Caused by:
>>>>>>>>>>>>>>>> org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
>>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>>> org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:146)
>>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>>> org.apache.flink.client.program.rest.RestClusterClient.submitJob(RestClusterClient.java:259)
>>>>>>>>>>>>>>>> ... 25 more
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> *Caused by: java.io.IOException: Hash window aggregate map
>>>>>>>>>>>>>>>> OOM.* at HashWinAggWithKeys$534.processElement(Unknown
>>>>>>>>>>>>>>>> Source)
>>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processElement(StreamOneInputProcessor.java:164)
>>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:143)
>>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276)
>>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298)
>>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403)
>>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>>> org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705)
>>>>>>>>>>>>>>>> at
>>>>>>>>>>>>>>>> org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
>>>>>>>>>>>>>>>> at java.lang.Thread.run(Thread.java:748)
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> --
>>>>>>>>>>>>>> Best, Jingsong Lee
>>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> --
>>>>>>>>>>>> Best, Jingsong Lee
>>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> Best, Jingsong Lee
>>>>>>>>>
>>>>>>>>
>>>>>
>>>>> --
>>>>> Best, Jingsong Lee
>>>>>
>>>>

-- 
Best, Jingsong Lee