[ 
https://issues.apache.org/jira/browse/SPARK-38958?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17817203#comment-17817203
 ] 

ASF GitHub Bot commented on SPARK-38958:
----------------------------------------

PradhanPrerak opened a new pull request, #6550:
URL: https://github.com/apache/hadoop/pull/6550

   ### Description of PR
   - Support to add custom headers to s3a s3 and sts client
   
   Introducing new custom.headers config for each client type, Upon setting 
this header each s3/sts request will set these custom headers by setting 
overrideClientConfig on clients
   ```
   "fs.s3a.sts.custom.headers" = "Header1:Value1:Value2,Header2:Value1"
   "fs.s3a.s3.custom.headers" = "Header1:Value1:Value2,Header2:Value1"
   ```
   
   
   
   ### How was this patch tested?
   TBD
   
   ### For code changes:
   TBD
   
   - [Y] Does the title or this PR starts with the corresponding JIRA issue id 
(e.g. 'HADOOP-17799. Your PR title ...')?
   - [ ] Object storage: have the integration tests been executed and the 
endpoint declared according to the connector-specific documentation?
   - [ ] If adding new dependencies to the code, are these dependencies 
licensed in a way that is compatible for inclusion under [ASF 
2.0](http://www.apache.org/legal/resolved.html#category-a)?
   - [ ] If applicable, have you updated the `LICENSE`, `LICENSE-binary`, 
`NOTICE-binary` files?
   
   




> 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

Reply via email to