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https://issues.apache.org/jira/browse/SPARK-38958?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17573137#comment-17573137
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Steve Loughran commented on SPARK-38958:
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#. api is public, but we have changed the api incompatibly twice. it's a
builder/parameter object pattern to try and reduce this, but you will probably
still need to be in sync with the build.
# branch-3.3 (you get to make the release yourself) lets you add whatever
headers you want when creating a file
https://github.com/apache/hadoop/blob/trunk/hadoop-common-project/hadoop-common/src/site/markdown/filesystem/fsdataoutputstreambuilder.md#-s3a-specific-options
> Override S3 Client in Spark Write/Read calls
> --------------------------------------------
>
> Key: SPARK-38958
> URL: https://issues.apache.org/jira/browse/SPARK-38958
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core
> Affects Versions: 3.2.1
> Reporter: Hershal
> Priority: Major
>
> Hello,
> I have been working to use spark to read and write data to S3. Unfortunately,
> there are a few S3 headers that I need to add to my spark read/write calls.
> After much looking, I have not found a way to replace the S3 client that
> spark uses to make the read/write calls. I also have not found a
> configuration that allows me to pass in S3 headers. Here is an example of
> some common S3 request headers
> ([https://docs.aws.amazon.com/AmazonS3/latest/API/RESTCommonRequestHeaders.html).]
> Does there already exist functionality to add S3 headers to spark read/write
> calls or pass in a custom client that would pass these headers on every
> read/write request? Appreciate the help and feedback
>
> Thanks,
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