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:
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@@ -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.
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