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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.
org.apache.hadoop.fs.azurebfs.services.AbfsReadThreadPoolMetrics.getUpdatedAtLeastOnce() may expose internal representation by returning AbfsReadThreadPoolMetrics.updatedAtLeastOnce At AbfsReadThreadPoolMetrics.java:by returning AbfsReadThreadPoolMetrics.updatedAtLeastOnce At AbfsReadThreadPoolMetrics.java:[line 132]
org.apache.hadoop.fs.azurebfs.services.AbfsWriteThreadPoolMetrics.getUpdatedAtLeastOnce() may expose internal representation by returning AbfsWriteThreadPoolMetrics.updatedAtLeastOnce At AbfsWriteThreadPoolMetrics.java:by returning AbfsWriteThreadPoolMetrics.updatedAtLeastOnce At AbfsWriteThreadPoolMetrics.java:[line 136]
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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.