1996fanrui commented on code in PR #22985: URL: https://github.com/apache/flink/pull/22985#discussion_r1321412724
########## flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/adaptive/Executing.java: ########## @@ -124,17 +154,33 @@ private void handleDeploymentFailure(ExecutionVertex executionVertex, JobExcepti @Override public void onNewResourcesAvailable() { - maybeRescale(); + rescaleWhenCooldownPeriodIsOver(); } @Override public void onNewResourceRequirements() { - maybeRescale(); + rescaleWhenCooldownPeriodIsOver(); } private void maybeRescale() { - if (context.shouldRescale(getExecutionGraph())) { - getLogger().info("Can change the parallelism of job. Restarting job."); + final Duration timeSinceLastRescale = timeSinceLastRescale(); + rescaleScheduled = false; + final boolean shouldForceRescale = + (scalingIntervalMax != null) + && (timeSinceLastRescale.compareTo(scalingIntervalMax) > 0) + && (lastRescale != Instant.EPOCH); // initial rescale is not forced + if (shouldForceRescale || context.shouldRescale(getExecutionGraph())) { + if (shouldForceRescale) { + getLogger() + .info( + "Time since last rescale ({}) > {} ({}). Force-changing the parallelism of the job. Restarting the job.", + timeSinceLastRescale, + JobManagerOptions.SCHEDULER_SCALING_INTERVAL_MAX.key(), + scalingIntervalMax); + } else { + getLogger().info("Can change the parallelism of the job. Restarting the job."); + } + lastRescale = Instant.now(); context.goToRestarting( getExecutionGraph(), Review Comment: Thanks for the clarification! Do you mean we force trigger a rescale when new resources comes and the `current time > lastRescaleTime + scalingIntervalMax`? If so, I think the logic related to `scalingIntervalMax` should be moved into `maybeRescale`. `onNewResourceRequirements` also call the `rescaleWhenCooldownPeriodIsOver`, when user changed the parallelism, `maybeRescale` will force trigger a rescale as well. right? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org