stream2000 commented on code in PR #9395:
URL: https://github.com/apache/hudi/pull/9395#discussion_r1288224103
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hudi-client/hudi-flink-client/src/main/java/org/apache/hudi/client/common/HoodieFlinkEngineContext.java:
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@@ -102,12 +102,12 @@ public RuntimeContext getRuntimeContext() {
@Override
public <I, O> List<O> map(List<I> data, SerializableFunction<I, O> func, int
parallelism) {
- return
data.stream().parallel().map(throwingMapWrapper(func)).collect(Collectors.toList());
+ return stream(data,
parallelism).map(throwingMapWrapper(func)).collect(Collectors.toList());
}
Review Comment:
Hi @SteNicholas, correct me if I'm wrong. Do we just run the map function
sequentially when the parallelism is larger than the default parallelism? And
why there is an `OutOfMemoryError ` risk when we use `stream().parallel()`
which will submit some future tasks to the default thread pool which may not
cost a lot of memory?
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