Aarti created HADOOP-18338:
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Summary: Unable to access data from S3 bucket over a vpc endpoint
- 400 bad request
Key: HADOOP-18338
URL: https://issues.apache.org/jira/browse/HADOOP-18338
Project: Hadoop Common
Issue Type: Bug
Components: common, fs/s3
Reporter: Aarti
Attachments: spark_s3.txt, spark_s3_vpce_error.txt
We are trying to write to S3 bucket which has policy with specific IAM Users,
SSE and endpoint. So this bucket has 2 endpoints mentioned in policy : gateway
endpoint and interface endpoint.
When we use gateway endpoint which is general one:
[https://s3.us-east-1.amazonaws.com|https://s3.us-east-1.amazonaws.com/] =>
spark code executes successfully and writes to S3 bucket
But when we use interface endpoint (which we have to use ideally):
[https://bucket.vpce-<>.s3.us-east-1.vpce.amazonaws.com|https://bucket.vpce-%3C%3E.s3.us-east-1.vpce.amazonaws.com/]
=> spark code throws an error as :
py4j.protocol.Py4JJavaError: An error occurred while calling o91.save.
: org.apache.hadoop.fs.s3a.AWSBadRequestException: doesBucketExist on <BUCKET
NAME>: com.amazonaws.services.s3.model.AmazonS3Exception: Bad Request (Service:
Amazon S3; Status Code: 400; Error Code: 400 Bad Request; Request ID:
BA67GFNR0Q127VFM; S3 Extended Request ID:
BopO6Cn1hNzXdWh89hZlnl/QyTJef/1cxmptuP6f4yH7tqfMO36s/7mF+q8v6L5+FmYHXbFdEss=;
Proxy: null), S3 Extended Request ID:
BopO6Cn1hNzXdWh89hZlnl/QyTJef/1cxmptuP6f4yH7tqfMO36s/7mF+q8v6L5+FmYHXbFdEss=:400
Bad Request: Bad Request (Service: Amazon S3; Status Code: 400; Error Code:
400 Bad Request; Request ID: BA67GFNR0Q127VFM; S3 Extended Request ID:
BopO6Cn1hNzXdWh89hZlnl/QyTJef/1cxmptuP6f4yH7tqfMO36s/7mF+q8v6L5+FmYHXbFdEss=;
Proxy: null)
Attaching the pyspark code and exception trace
[^spark_s3.txt]
^[^spark_s3_vpce_error.txt]^
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