Hershal created SPARK-38958:
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Summary: 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
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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