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 <jingsongl...@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 <fanbin...@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 <fanbin...@coinbase.com> 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: you need configure this into TableConfig. >>>> >>>> Best, >>>> Jingsong Lee >>>> >>>> On Thu, Jan 23, 2020 at 11:54 AM Fanbin Bu <fanbin...@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 <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 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...@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...@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 >
