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From "Steven Zhen Wu (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-9693) Possible memory leak in jobmanager retaining archived checkpoints
Date Wed, 25 Jul 2018 18:12:00 GMT

     [ https://issues.apache.org/jira/browse/FLINK-9693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Steven Zhen Wu updated FLINK-9693:
----------------------------------
    Attachment: 20180725_jm_mem_leak.png

> Possible memory leak in jobmanager retaining archived checkpoints
> -----------------------------------------------------------------
>
>                 Key: FLINK-9693
>                 URL: https://issues.apache.org/jira/browse/FLINK-9693
>             Project: Flink
>          Issue Type: Bug
>          Components: JobManager, State Backends, Checkpointing
>    Affects Versions: 1.5.0, 1.6.0
>         Environment: !image.png!!image (1).png!
>            Reporter: Steven Zhen Wu
>            Assignee: Till Rohrmann
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.4.3, 1.5.1, 1.6.0
>
>         Attachments: 20180725_jm_mem_leak.png, 41K_ExecutionVertex_objs_retained_9GB.png,
ExecutionVertexZoomIn.png
>
>
> First, some context about the job
>  * Flink 1.4.1
>  * stand-alone deployment mode
>  * embarrassingly parallel: all operators are chained together
>  * parallelism is over 1,000
>  * stateless except for Kafka source operators. checkpoint size is 8.4 MB.
>  * set "state.backend.fs.memory-threshold" so that only jobmanager writes to S3 to checkpoint
>  * internal checkpoint with 10 checkpoints retained in history
>  
> Summary of the observations
>  * 41,567 ExecutionVertex objects retained 9+ GB of memory
>  * Expanded in one ExecutionVertex. it seems to storing the kafka offsets for source
operator



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