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https://issues.apache.org/jira/browse/FLINK-16548?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17057757#comment-17057757
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Yangze Guo commented on FLINK-16548:
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Thanks for the information [~fly_in_gis]. I think it is a valid requirement to
expose some of the identifiers to the environment. Since I'm currently working
on refactoring Flink's ID system, I'd like to bring this issue into
FLINK-15679. WDYT?
> [Requirement] Consistent id to identify jm/tm in different cluster modes
> ------------------------------------------------------------------------
>
> Key: FLINK-16548
> URL: https://issues.apache.org/jira/browse/FLINK-16548
> Project: Flink
> Issue Type: Wish
> Components: Runtime / Configuration
> Reporter: hejianchao
> Priority: Major
>
> Imagine that there is now s3-log-appender.jar, and logs can be written to s3
> with proper configuration.
> Then, in the same flink job, the exact same log4j configuration is used. How
> to make the key written to s3 for different jm / tm carry the id that
> uniquely identifies jm / tm? such as:
> s3://bucket/flink-logs/jobId/${jm-id}/logfile
> s3://bucket/flink-logs/jobId/${tm-1-id}/logfile
> s3://bucket/flink-logs/jobId/${tm-2-id}/logfile
> For the s3-log-appender here, it needs a way to sense the value of
> ${jm-id}/${tm-1-id}/${tm-2-id}, and it has the following claims :
> 1. This value can be used to locate the actual running jm, tm
> 2. The value is independent of cluster mode, whether standalone, yarn or
> kubernetes
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