You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hudi.apache.org by "stream2000 (via GitHub)" <gi...@apache.org> on 2023/09/18 12:35:00 UTC
[GitHub] [hudi] stream2000 commented on a diff in pull request #9395: [HUDI-6669] HoodieEngineContext should not use parallel stream with parallelism greater than CPU cores
stream2000 commented on code in PR #9395:
URL: https://github.com/apache/hudi/pull/9395#discussion_r1328657021
##########
hudi-common/src/main/java/org/apache/hudi/common/engine/HoodieEngineContext.java:
##########
@@ -105,4 +105,12 @@ public abstract <I, K, V> List<V> reduceByKey(
public abstract void cancelJob(String jobId);
public abstract void cancelAllJobs();
+
+ public <T> Stream<T> stream(List<T> data, Integer parallelism) {
+ return stream(stream(data.stream(), data.size()), parallelism);
+ }
+
+ public <T> Stream<T> stream(Stream<T> data, Integer parallelism) {
+ return parallelism == null || parallelism > Runtime.getRuntime().availableProcessors() ? data : data.parallel();
Review Comment:
@yihua I agree that reducing the parallelism can avoid OOM in some situations. I'm just wondering should we reduce the parallelism automatically. `HoodieFlinkEngineContext.map` provides a param `parallelism` and we can configure the parallelism as we want. In this scenario (Clean OOM in flink Engine) we can just set `hoodie.cleaner.parallelism` as 1 to reduce the parallelism.
--
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: commits-unsubscribe@hudi.apache.org
For queries about this service, please contact Infrastructure at:
users@infra.apache.org