anmolanmol1234 commented on code in PR #8056:
URL: https://github.com/apache/hadoop/pull/8056#discussion_r2556297999
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hadoop-tools/hadoop-azure/src/main/java/org/apache/hadoop/fs/azurebfs/services/ReadBufferManagerV2.java:
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@@ -831,41 +861,79 @@ private boolean manualEviction(final ReadBuffer buf) {
*/
private void adjustThreadPool() {
int currentPoolSize = workerRefs.size();
- double cpuLoad = getCpuLoad();
+ double cpuLoad = getJvmCpuLoad();
+ if (cpuLoad > maxCpuUtilization) {
+ maxCpuUtilization = cpuLoad;
+ }
int requiredPoolSize = getRequiredThreadPoolSize();
int newThreadPoolSize;
printTraceLog(
"Current CPU load: {}, Current worker pool size: {}, Current queue
size: {}",
cpuLoad, currentPoolSize, requiredPoolSize);
if (currentPoolSize < requiredPoolSize && cpuLoad < cpuThreshold) {
+ lastScaleDirection = "I";
// Submit more background tasks.
newThreadPoolSize = Math.min(maxThreadPoolSize,
(int) Math.ceil(
(currentPoolSize * (HUNDRED_D + threadPoolUpscalePercentage))
/ HUNDRED_D));
+ if (newThreadPoolSize == maxThreadPoolSize) {
+ lastScaleDirection = "+F"; // Already full, cannot scale up
+ } else {
+ lastScaleDirection = "I"; // Normal scale-up
+ }
// Create new Worker Threads
- for (int i = currentPoolSize; i < newThreadPoolSize; i++) {
- ReadBufferWorker worker = new ReadBufferWorker(i, getBufferManager());
- workerRefs.add(worker);
- workerPool.submit(worker);
+ if ("I".equals(lastScaleDirection)) {
+ for (int i = currentPoolSize; i < newThreadPoolSize; i++) {
+ ReadBufferWorker worker = new ReadBufferWorker(i,
+ getBufferManager(abfsClient));
+ workerRefs.add(worker);
+ workerPool.submit(worker);
+ }
}
+ // Capture the latest thread pool statistics (pool size, CPU, memory,
etc.)
+ ReadThreadPoolStats stats = getCurrentStats(cpuLoad, maxCpuUtilization);
Review Comment:
these are needed only when we are scaling up or down not always hence added
in blocks where scale up or down is happening
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