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zhangminglei commented on FLINK-9411: ------------------------------------- A short checkpoint time that whether lead to poor compression or not, I will give an actual production test under compression situation and as an attachment attached to FLINK-9407 in the next few days. Actually, We having been using this PR (but not polished yet) in our production environment for a long time. And getting a very nice results ending that compared to spark streaming. I will put the test results in the form of attachments to FLINK-9407 as a reference. And what you are more concerned about the short checkpoint interval will lead to poor compression, yea I would agree but we need a test for it. Furthermore, we have all known that the longer snapshots interval, the lower performance impact of asynchronous or synchronous snapshotting we would get. So, I think people do not inclined to adopt short checkpoint intervals for getting a high throughput and low latency in most cases. For example, in our calculation of uv jobs, the checkpoint intervals is 30 seconds. Anyway, I will still give a test results under the compression situation. I suggest this PR can merge as a temporary solution to reduce the user's learning curve since some users already had used ```BucketingSink``` in their project and wants this functionality as we can see in the user mail list a few days ago. And In a short time, they may not switch to a new sink ```StreamingFileSink ``` . This may be one of the good reasons I think. By the way, I will watch FLINK-9749 and the subtask FLINK-9753 soon and give more response in the next couple of days. > Support parquet rolling sink writer > ----------------------------------- > > Key: FLINK-9411 > URL: https://issues.apache.org/jira/browse/FLINK-9411 > Project: Flink > Issue Type: New Feature > Components: filesystem-connector > Reporter: zhangminglei > Assignee: Triones Deng > Priority: Major > > Like support orc rolling sink writer in FLINK-9407 , we should also support > parquet rolling sink writer. -- This message was sent by Atlassian JIRA (v7.6.3#76005)