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https://issues.apache.org/jira/browse/SPARK-40039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-40039:
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Assignee: (was: Apache Spark)
> Introducing a streaming checkpoint file manager based on Hadoop's Abortable
> interface
> -------------------------------------------------------------------------------------
>
> Key: SPARK-40039
> URL: https://issues.apache.org/jira/browse/SPARK-40039
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.4.0
> Reporter: Attila Zsolt Piros
> Priority: Major
>
> Currently on S3 the checkpoint file manager (called
> FileContextBasedCheckpointFileManager) is based on rename. So when a file is
> opened for an atomic stream a temporary file used instead and when the stream
> is committed the file is renamed.
> But on S3 a rename will be a file copy. So it has some serious performance
> implication.
> But on Hadoop 3 there is new interface introduce called *Abortable* and
> *S3AFileSystem* has this capability which is implemented by on top S3's
> multipart upload. So when the file is committed a POST is sent
> ([https://docs.aws.amazon.com/AmazonS3/latest/API/API_CompleteMultipartUpload.html])
> and when aborted a DELETE will be send
> ([https://docs.aws.amazon.com/AmazonS3/latest/API/API_AbortMultipartUpload.html])
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