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https://issues.apache.org/jira/browse/HADOOP-19737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18045151#comment-18045151
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ASF GitHub Bot commented on HADOOP-19737:
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anmolanmol1234 opened a new pull request, #8135:
URL: https://github.com/apache/hadoop/pull/8135
This PR provides a fix for HADOOP-19737: ABFS – Add metrics to track
improvements in read and write aggressiveness.
The changes address the following issues:
1. Java 8 Compatibility: Removed usage of the unsupported ProcessHandle
class to ensure full compatibility with Java 8.
2. Accurate Metrics Updates: Enhanced metrics collection for read and write
operations with proper versioning support.
3. Precision in Reporting: Eliminated unnecessary rounding in metric
calculations to report exact values for better accuracy and insight.
These updates improve monitoring and analysis of ABFS performance,
particularly in scenarios involving aggressive read/write patterns.
> 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
> Labels: pull-request-available
>
> 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.
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