Re: batch job OOM
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 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 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 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 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 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 > 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 >> 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$538.endInput(Unknown Source) >>> at >>> org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276) >>> at >>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151) >>> at >>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138) >>> at >>> org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276) >>> at >>> org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298) >>> at >>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403) >>> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705) >>> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) >>> at java.lang.Thread.run(Thread.java:748) >>> >>> On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu >>> wrote: >>> Jingsong, I set the config value to be too large. After I changed it to a smaller number it works now! thanks you for the help. really appreciate it! Fanbin On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li wrote: > Fanbin, > > Looks like your config is wrong, can you show your config code? > > Best, > Jingsong Lee > > On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu > wrote: > >> Jingsong, >> >> Great, now i got a different error: >> >> java.lang.NullPointerException: Initial Segment may not be null >> at >> org.apache.flink.runtime.memory.AbstractPagedOutputView.(AbstractPagedOutputView.java:65) >> at >> org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) >> at >> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) >> at >> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) >> at >> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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) >>
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 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 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 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 >>> 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 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 > 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$538.endInput(Unknown Source) >> at >> org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276) >> at >> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151) >> at >> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138) >> at >> org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276) >> at >> org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298) >> at >> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403) >> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705) >> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) >> at java.lang.Thread.run(Thread.java:748) >> >> On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu >> wrote: >> >>> Jingsong, >>> >>> I set the config value to be too large. After I changed it to a >>> smaller number it works now! >>> thanks you for the help. really appreciate it! >>> >>> Fanbin >>> >>> On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li >>> wrote: >>> Fanbin, Looks like your config is wrong, can you show your config code? Best, Jingsong Lee On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu wrote: > Jingsong, > > Great, now i got a different error: > > java.lang.NullPointerException: Initial Segment may not be null > at > org.apache.flink.runtime.memory.AbstractPagedOutputView.(AbstractPagedOutputView.java:65) > at > org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) > at > org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) > at > org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) > at > org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 > wrote:
Re: batch job OOM
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 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 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 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 >>> 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 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$538.endInput(Unknown Source) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276) > at > org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151) > at > org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138) > at > org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276) > at > org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298) > at > org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403) > at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705) > at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) > at java.lang.Thread.run(Thread.java:748) > > On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu > wrote: > >> Jingsong, >> >> I set the config value to be too large. After I changed it to a >> smaller number it works now! >> thanks you for the help. really appreciate it! >> >> Fanbin >> >> On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li >> wrote: >> >>> Fanbin, >>> >>> Looks like your config is wrong, can you show your config code? >>> >>> Best, >>> Jingsong Lee >>> >>> On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu >>> wrote: >>> Jingsong, Great, now i got a different error: java.lang.NullPointerException: Initial Segment may not be null at org.apache.flink.runtime.memory.AbstractPagedOutputView.(AbstractPagedOutputView.java:65) at org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 wrote: > you beat me to it. > let's me try that. > > On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li < > jingsongl...@gmail.com> wrote: > >> Fanbin, >> >> Document is here: >> https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/table/config.html >> NOTE:
Re: batch job OOM
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 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 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 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 >>> 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$538.endInput(Unknown Source) at org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276) at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151) at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138) at org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276) at org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298) at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403) at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705) at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) at java.lang.Thread.run(Thread.java:748) On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu wrote: > Jingsong, > > I set the config value to be too large. After I changed it to a > smaller number it works now! > thanks you for the help. really appreciate it! > > Fanbin > > On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li > wrote: > >> Fanbin, >> >> Looks like your config is wrong, can you show your config code? >> >> Best, >> Jingsong Lee >> >> On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu >> wrote: >> >>> Jingsong, >>> >>> Great, now i got a different error: >>> >>> java.lang.NullPointerException: Initial Segment may not be null >>> at >>> org.apache.flink.runtime.memory.AbstractPagedOutputView.(AbstractPagedOutputView.java:65) >>> at >>> org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) >>> at >>> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) >>> at >>> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) >>> at >>> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 >>> wrote: >>> you beat me to it. let's me try that. On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li 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 > 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:
Re: batch job OOM
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 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 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 >> 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$538.endInput(Unknown Source) >>> at >>> org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276) >>> at >>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151) >>> at >>> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138) >>> at >>> org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276) >>> at >>> org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298) >>> at >>> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403) >>> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705) >>> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) >>> at java.lang.Thread.run(Thread.java:748) >>> >>> On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu >>> wrote: >>> Jingsong, I set the config value to be too large. After I changed it to a smaller number it works now! thanks you for the help. really appreciate it! Fanbin On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li wrote: > Fanbin, > > Looks like your config is wrong, can you show your config code? > > Best, > Jingsong Lee > > On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu > wrote: > >> Jingsong, >> >> Great, now i got a different error: >> >> java.lang.NullPointerException: Initial Segment may not be null >> at >> org.apache.flink.runtime.memory.AbstractPagedOutputView.(AbstractPagedOutputView.java:65) >> at >> org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) >> at >> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) >> at >> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) >> at >> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 >> wrote: >> >>> you beat me to it. >>> let's me try that. >>> >>> On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li >>> 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 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 < > jingsongl...@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
Re: batch job OOM
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 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 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$538.endInput(Unknown Source) >> at >> org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276) >> at >> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151) >> at >> org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138) >> at >> org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276) >> at >> org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298) >> at >> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403) >> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705) >> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) >> at java.lang.Thread.run(Thread.java:748) >> >> On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu wrote: >> >>> Jingsong, >>> >>> I set the config value to be too large. After I changed it to a smaller >>> number it works now! >>> thanks you for the help. really appreciate it! >>> >>> Fanbin >>> >>> On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li >>> wrote: >>> Fanbin, Looks like your config is wrong, can you show your config code? Best, Jingsong Lee On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu wrote: > Jingsong, > > Great, now i got a different error: > > java.lang.NullPointerException: Initial Segment may not be null > at > org.apache.flink.runtime.memory.AbstractPagedOutputView.(AbstractPagedOutputView.java:65) > at > org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) > at > org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) > at > org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) > at > org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 > wrote: > >> you beat me to it. >> let's me try that. >> >> On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li >> 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 >>> 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 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
Re: batch job OOM
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 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$538.endInput(Unknown Source) > at > org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276) > at > org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151) > at > org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138) > at > org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276) > at > org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298) > at > org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403) > at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705) > at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) > at java.lang.Thread.run(Thread.java:748) > > On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu wrote: > >> Jingsong, >> >> I set the config value to be too large. After I changed it to a smaller >> number it works now! >> thanks you for the help. really appreciate it! >> >> Fanbin >> >> On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li >> wrote: >> >>> Fanbin, >>> >>> Looks like your config is wrong, can you show your config code? >>> >>> Best, >>> Jingsong Lee >>> >>> On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu >>> wrote: >>> Jingsong, Great, now i got a different error: java.lang.NullPointerException: Initial Segment may not be null at org.apache.flink.runtime.memory.AbstractPagedOutputView.(AbstractPagedOutputView.java:65) at org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 wrote: > you beat me to it. > let's me try that. > > On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li > 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 >> 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 >>> 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]
Re: batch job OOM
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$538.endInput(Unknown Source) at org.apache.flink.streaming.runtime.tasks.OperatorChain.endInput(OperatorChain.java:276) at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.checkFinished(StreamOneInputProcessor.java:151) at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:138) at org.apache.flink.streaming.runtime.tasks.StreamTask.performDefaultAction(StreamTask.java:276) at org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298) at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403) at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705) at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) at java.lang.Thread.run(Thread.java:748) On Wed, Jan 22, 2020 at 8:57 PM Fanbin Bu wrote: > Jingsong, > > I set the config value to be too large. After I changed it to a smaller > number it works now! > thanks you for the help. really appreciate it! > > Fanbin > > On Wed, Jan 22, 2020 at 8:50 PM Jingsong Li > wrote: > >> Fanbin, >> >> Looks like your config is wrong, can you show your config code? >> >> Best, >> Jingsong Lee >> >> On Thu, Jan 23, 2020 at 12:41 PM Fanbin Bu >> wrote: >> >>> Jingsong, >>> >>> Great, now i got a different error: >>> >>> java.lang.NullPointerException: Initial Segment may not be null >>> at >>> org.apache.flink.runtime.memory.AbstractPagedOutputView.(AbstractPagedOutputView.java:65) >>> at >>> org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) >>> at >>> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) >>> at >>> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) >>> at >>> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 >>> wrote: >>> you beat me to it. let's me try that. On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li 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 > 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 >> 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 >>> wrote: >>> tried to increase memory: flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -yjm 8096
Re: batch job OOM
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 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 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.(AbstractPagedOutputView.java:65) >> at >> org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) >> at >> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) >> at >> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) >> at >> org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 wrote: >> >>> you beat me to it. >>> let's me try that. >>> >>> On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li >>> 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 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 > 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 >> wrote: >> >>> >>> tried to increase memory: >>> flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -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 >>> 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: 5m and flink UI gives me Last Heartbeat:20-01-22 14:56:25ID:container_1579720108062_0018_01_20Data 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
Re: batch job OOM
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 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.(AbstractPagedOutputView.java:65) > at > org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) > at > org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) > at > org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) > at > org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 wrote: > >> you beat me to it. >> let's me try that. >> >> On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li >> 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 >>> 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 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 > wrote: > >> >> tried to increase memory: >> flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -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 >> 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: 5m >>> >>> and flink UI gives me >>> Last Heartbeat:20-01-22 >>> 14:56:25ID:container_1579720108062_0018_01_20Data 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$534.processElement(Unknown Source) >>> at >>>
Re: batch job OOM
Jingsong, Great, now i got a different error: java.lang.NullPointerException: Initial Segment may not be null at org.apache.flink.runtime.memory.AbstractPagedOutputView.(AbstractPagedOutputView.java:65) at org.apache.flink.runtime.io.disk.SimpleCollectingOutputView.(SimpleCollectingOutputView.java:49) at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap$RecordArea.(BytesHashMap.java:522) at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(BytesHashMap.java:190) at org.apache.flink.table.runtime.operators.aggregate.BytesHashMap.(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 wrote: > you beat me to it. > let's me try that. > > On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li > 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 >> 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 >>> 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 wrote: > > tried to increase memory: > flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -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 > 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: 5m >> >> and flink UI gives me >> Last Heartbeat:20-01-22 >> 14:56:25ID:container_1579720108062_0018_01_20Data 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 >>
Re: batch job OOM
you beat me to it. let's me try that. On Wed, Jan 22, 2020 at 7:57 PM Jingsong Li 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 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 >> 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 >>> wrote: >>> tried to increase memory: flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -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 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: 5m > > and flink UI gives me > Last Heartbeat:20-01-22 > 14:56:25ID:container_1579720108062_0018_01_20Data 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 >
Re: batch job OOM
I saw the doc in https://ci.apache.org/projects/flink/flink-docs-stable/dev/table/config.html . Do i have to set that in the code or can i do it through flink-conf.yaml? On Wed, Jan 22, 2020 at 7:54 PM Fanbin Bu 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 > 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 wrote: >> >>> >>> tried to increase memory: >>> flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -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 >>> 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: 5m and flink UI gives me Last Heartbeat:20-01-22 14:56:25ID:container_1579720108062_0018_01_20Data 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 >> >
Re: batch job OOM
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 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 > 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 wrote: >> >>> >>> tried to increase memory: >>> flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -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 >>> 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: 5m and flink UI gives me Last Heartbeat:20-01-22 14:56:25ID:container_1579720108062_0018_01_20Data 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
Re: batch job OOM
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 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 wrote: > >> >> tried to increase memory: >> flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -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 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: 5m >>> >>> and flink UI gives me >>> Last Heartbeat:20-01-22 >>> 14:56:25ID:container_1579720108062_0018_01_20Data 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 >
Re: batch job OOM
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 wrote: > > tried to increase memory: > flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -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 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: 5m >> >> and flink UI gives me >> Last Heartbeat:20-01-22 >> 14:56:25ID:container_1579720108062_0018_01_20Data 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
Re: batch job OOM
tried to increase memory: flink run -m yarn-cluster -p 16 -ys 1 -ytm 20 -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 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: 5m > > and flink UI gives me > Last Heartbeat:20-01-22 > 14:56:25ID:container_1579720108062_0018_01_20Data 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) >
batch job OOM
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: 5m and flink UI gives me Last Heartbeat:20-01-22 14:56:25ID:container_1579720108062_0018_01_20Data 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)
