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Posted to common-issues@hadoop.apache.org by "Steve Loughran (JIRA)" <ji...@apache.org> on 2017/04/13 09:21:41 UTC
[jira] [Created] (HADOOP-14303) review retry logic on all S3 calls,
implement where needed
Steve Loughran created HADOOP-14303:
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Summary: review retry logic on all S3 calls, implement where needed
Key: HADOOP-14303
URL: https://issues.apache.org/jira/browse/HADOOP-14303
Project: Hadoop Common
Issue Type: Sub-task
Components: fs/s3
Affects Versions: 2.8.0
Reporter: Steve Loughran
AWS S3, IAM, KMS, DDB etc all throttle callers: the S3A code needs to handle this without failing, as if it slows down its requests it can recover.
1. Look at all the places where we are calling S3A via the AWS SDK and make sure we are retrying with some backoff & jitter policy, ideally something unified. This must be more systematic than the case-by-case, problem-by-problem strategy we are implicitly using.
2. Many of the AWS S3 SDK calls do implement retry (e.g PUT/multipart PUT), but we need to check the other parts of the process: login, initiate/complete MPU, ...
Related
HADOOP-13811 Failed to sanitize XML document destined for handler class
HADOOP-13664 S3AInputStream to use a retry policy on read failures
This stuff is all hard to test. A key need is to be able to differentiate recoverable throttle & network failures from unrecoverable problems like: auth, network config (e.g bad endpoint), etc.
May be the opportunity to add a faulting subclass of Amazon S3 client which can be configured in IT Tests to fail at specific points. Ryan Blue's mcok S3 client does this in HADOOP-13786, but it is for 100% mock. I'm thinking of something with similar fault raising, but in front of the real S3A client
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