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https://issues.apache.org/jira/browse/SPARK-38958?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17562117#comment-17562117
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Daniel Carl Jones commented on SPARK-38958:
-------------------------------------------
There is a workaround which may help if needed in the short-term though,
originally shared by Asier in HADOOP-14661. The S3 client used by S3A, the
underlying connector provided by the Hadoop project for using S3 as a
filesystem, has its own factory class to configuring the client. You could
extend this today and set a static header by adding a class like below. It
needs to be compiled and added to your classpath when using Spark/Hadoop.
{code:java}
public class CustomS3ClientFactory extends DefaultS3ClientFactory {
@Override
public AmazonS3 createS3Client(final URI uri,
final S3ClientCreationParameters parameters) throws IOException {
parameters.withHeader("my-header-key", "my-header-value");
return super.createS3Client(uri, parameters);
}
}
{code}
In your Spark application, you should then be able to update your configuration
to point to this new factory:
{code:java}
spark.sparkContext.hadoopConfiguration.set("fs.s3a.s3.client.factory.impl",
"your.package.CustomS3ClientFactory")
{code}
> 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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