Github user zjureel commented on the issue:
https://github.com/apache/flink/pull/4654
@kl0u @zentol Thank you for your suggestions. So remove the code
`.addLast(new HttpObjectAggregator(100*1024*1024)` will be a temporary fix?
In fact it surprises me that the client sends the jar file of job to the
rest server instead of block file system, such as hdfs. As @zentol said, the
jars may be multiple 100mb large and we obviously can't allocate that much
memory in general, I think the client upload the jars to a block file system
may be a better way, or we should find a way to create a stream service in the
rest server and save the input stream of jar as soon as possible instead of
aggregate it in the memory. What do you think? thanks
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