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https://issues.apache.org/jira/browse/HADOOP-18055?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17465422#comment-17465422
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Viraj Jasani commented on HADOOP-18055:
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Exactly, thanks for linking HBASE-21926, [~apurtell]. It would be great to get
your review as well on the PR when you have bandwidth! (nothing urgent)
With the async profiler binaries deployed on all hosts of the cluster, it would
be good to get stack traces samples for both HBase and Hadoop daemons.
> Async Profiler endpoint for Hadoop daemons
> ------------------------------------------
>
> Key: HADOOP-18055
> URL: https://issues.apache.org/jira/browse/HADOOP-18055
> Project: Hadoop Common
> Issue Type: New Feature
> Reporter: Viraj Jasani
> Assignee: Viraj Jasani
> Priority: Major
> Labels: pull-request-available
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> Async profiler ([https://github.com/jvm-profiling-tools/async-profiler]) is a
> low overhead sampling profiler for Java that does not suffer from Safepoint
> bias problem. It features HotSpot-specific APIs to collect stack traces and
> to track memory allocations. The profiler works with OpenJDK, Oracle JDK and
> other Java runtimes based on the HotSpot JVM.
> Async profiler can also profile heap allocations, lock contention, and HW
> performance counters in addition to CPU.
> We have an httpserver based servlet stack hence we can use HIVE-20202 as an
> implementation template to provide async profiler as servlet for Hadoop
> daemons. Ideally we achieve these requirements:
> * Retrieve flamegraph SVG generated from latest profile trace.
> * Online enable and disable of profiling activity. (async-profiler does not
> do instrumentation based profiling so this should not cause the code gen
> related perf problems of that other approach and can be safely toggled on and
> off while under production load.)
> * CPU profiling.
> * ALLOCATION profiling.
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