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https://issues.apache.org/jira/browse/HADOOP-18448?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17607095#comment-17607095
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Einav Hollander edited comment on HADOOP-18448 at 9/20/22 10:48 AM:
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I'm using s3a. I tried to use the vpce dns name but it did not work because the 
certificate was expecting bucket. prefix and with the  bucket. it fails on 
doesBucketExist. so I updated the emr ec2s hosts file with the mapping <vpce 
ip> to "s3.us-west-2.amazonaws.com" but it is still calling the endpoint using 
the NAT and not using the vpce Ip address.


was (Author: JIRAUSER295521):
I'm using s3a. I tried to use the vpce dns name but it did not work because the 
certificate was expecting bucket. prefix and with the  bucket. it fails on 
doesBucketExist. so I updated the mer ec2s hosts file with the mapping <vpce 
ip> to "s3.us-west-2.amazonaws.com" but it is still calling the endpoint using 
the NAT and not using the vpce Ip address.

> s3a endpoint per bucket configuration in pyspark is ignored
> -----------------------------------------------------------
>
>                 Key: HADOOP-18448
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18448
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>         Environment: Amazon EMR emr-6.5.0 cluster
>            Reporter: Einav Hollander
>            Priority: Major
>
> I'm using EMR emr-6.5.0 cluster in us-east-1 with ec2 instances. cluster is 
> running spark application using pyspark 3.2.1
>  EMR is using Hadoop distribution:Amazon 3.2.1
> my spark application is reading from one bucket in us-west-2 and writing to a 
> bucket in us-east-1.
> since I'm processing a large amount of data I'm paying a lot of money for the 
> network transport . in order to reduce the cost I have create a vpc interface 
> to s3 endpoint in us-west-2. inside the spark application I'm using aws cli 
> for reading the file names from us-west-2 bucket and it is working through 
> the s3 interface endpoint but when I use pyspark to read the data it is using 
> the us-east-1 s3 endpoint instead of the us-west-2 endpoint.
>  I tried to use per bucket configuration but it is being ignored although I 
> added it to the defualt configuration and to spark submit call.
> I tried to set the following configuration but they are ignored:
>  '--conf', 
> "spark.hadoop.fs.s3a.aws.credentials.provider=com.amazonaws.auth.DefaultAWSCredentialsProviderChain",
>  '--conf', "spark.hadoop.fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem",
>  '--conf', "spark.hadoop.fs.s3a.bucket.<us-west-2-bucket -name>.endpoint=<my 
> vpc endpoint>",
>  '--conf', "spark.hadoop.fs.s3a.bucket.<us-west-2-bucket 
> -name>.endpoint.region=us-west-2",
>  '--conf', "spark.hadoop.fs.s3a.bucket.<us-east-1-bucket -name>.endpoint=<vpc 
> gateway endpoint>",
>  '--conf', "spark.hadoop.fs.s3a.bucket.<us-east-1-bucket 
> -name>.endpoint.region=us-east-1",
>  '--conf', "spark.hadoop.fs.s3a.path.style.access=false"



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