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https://issues.apache.org/jira/browse/FLINK-15415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-15415:
-----------------------------------
Labels: auto-deprioritized-major stale-minor (was:
auto-deprioritized-major)
I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help
the community manage its development. I see this issues has been marked as
Minor but is unassigned and neither itself nor its Sub-Tasks have been updated
for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is
still Minor, please either assign yourself or give an update. Afterwards,
please remove the label or in 7 days the issue will be deprioritized.
> Flink machine node memory is consumed quickly, but the heap has not changed
> ---------------------------------------------------------------------------
>
> Key: FLINK-15415
> URL: https://issues.apache.org/jira/browse/FLINK-15415
> Project: Flink
> Issue Type: Bug
> Components: Runtime / State Backends
> Affects Versions: 1.8.0
> Environment: machine : 256G memory , SSD , 32 CORE CPU
> config :
> jobmanager.heap.size: 4096m
> taskmanager.heap.size: 144gb
> taskmanager.numberOfTaskSlots: 48
> taskmanager.memory.fraction: 0.7
> taskmanager.memory.off-heap: false
> parallelism.default: 1
>
>
>
>
>
> Reporter: hiliuxg
> Priority: Minor
> Labels: auto-deprioritized-major, stale-minor
> Attachments: flink-3.png, flink-pid-2.png, flink-pid.png
>
>
> The Flink node has been running for 1 month, and it is found that the
> machine's memory is getting higher and higher, even exceeding the memory
> configured by the heap. Through top -c, it is found that the machine's memory
> and virtual memory are very high. It may be an off-heap memory leak. What is
> the collection mechanism of flink's off-heap memory? It need to start FULL GC
> to recycle off-heap memory?
> In addition, does flink disable off-heap memory by default?
> taskmanager.memory.off-heap: false, why is the memory still increasing slowly
> .
>
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