[
https://issues.apache.org/jira/browse/HADOOP-19737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18035526#comment-18035526
]
ASF GitHub Bot commented on HADOOP-19737:
-----------------------------------------
anmolanmol1234 opened a new pull request, #8056:
URL: https://github.com/apache/hadoop/pull/8056
Introduces new performance metrics in the ABFS driver to monitor and
evaluate the effectiveness of read and write aggressiveness tuning. These
metrics help in understanding how thread pool behavior, CPU utilization, and
heap availability impact overall I/O throughput and latency. By capturing
detailed statistics such as active thread count, pool size, and system resource
utilization, this enhancement enables data-driven analysis of optimizations
made to improve ABFS read and write performance under varying workloads.
> ABFS: Add metrics to identify improvements with read and write aggressiveness
> -----------------------------------------------------------------------------
>
> Key: HADOOP-19737
> URL: https://issues.apache.org/jira/browse/HADOOP-19737
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/azure
> Affects Versions: 3.5.0, 3.4.2
> Reporter: Anmol Asrani
> Assignee: Anmol Asrani
> Priority: Major
>
> Introduces new performance metrics in the ABFS driver to monitor and evaluate
> the effectiveness of read and write aggressiveness tuning. These metrics help
> in understanding how thread pool behavior, CPU utilization, and heap
> availability impact overall I/O throughput and latency. By capturing detailed
> statistics such as active thread count, pool size, and system resource
> utilization, this enhancement enables data-driven analysis of optimizations
> made to improve ABFS read and write performance under varying workloads.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
