Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/22952#discussion_r231378889
--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -530,6 +530,8 @@ Here are the details of all the sources in Spark.
"s3://a/dataset.txt"<br/>
"s3n://a/b/dataset.txt"<br/>
"s3a://a/b/c/dataset.txt"<br/>
+ <br/>
+ <code>renameCompletedFiles</code>: whether to rename completed
files in previous batch (default: false). If the option is enabled, input file
will be renamed with additional postfix "_COMPLETED_". This is useful to clean
up old input files to save space in storage.
--- End diff --
Hi, @HeartSaVioR .
Renaming is expensive in S3, isn't it? I don't worry about HDFS, but do you
know if there is potential side effects like performance degradation in the
cloud environment, especially with continuous processing mode?
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