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https://issues.apache.org/jira/browse/HADOOP-18055?focusedWorklogId=703187&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-703187
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ASF GitHub Bot logged work on HADOOP-18055:
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Author: ASF GitHub Bot
Created on: 04/Jan/22 04:36
Start Date: 04/Jan/22 04:36
Worklog Time Spent: 10m
Work Description: virajjasani commented on pull request #3824:
URL: https://github.com/apache/hadoop/pull/3824#issuecomment-1004523638
> does it support async profiler 1.x and 2.x? Better to document that
somewhere.
Yes, updated AsyncProfilerServlet.md. Thanks
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Issue Time Tracking
-------------------
Worklog Id: (was: 703187)
Time Spent: 2h 20m (was: 2h 10m)
> 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: 2h 20m
> 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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