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https://issues.apache.org/jira/browse/SPARK-38958?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17635755#comment-17635755
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Daniel Carl Jones commented on SPARK-38958:
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I had someone reach out to me with a similar request - static headers on all S3
requests for a given S3A file system.
If static headers per fs by config were to be added as a feature, do we have
any idea what configuration for a feature like this might look like? i.e. how
do we model a list of key value pairs in the Hadoop configurations? Best I see
is "getStrings" which we need to figure out if its even (right number of k,v
pairs) or maybe have each k,v pair be one string joined by equals symbol.
Also, any reasons not to have such a configuration or any better way to design
it?
> 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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