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Daniel Carl Jones commented on SPARK-38958: ------------------------------------------- I'm not aware of documented support for this right now. Is your use-case limited to just setting static headers for all S3 requests made by your Spark application - i.e. do you expect to have the same header key and values every time or would you need to vary based on a given file/request? > 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, -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org