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https://issues.apache.org/jira/browse/HADOOP-14132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15890205#comment-15890205
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Jason Lowe commented on HADOOP-14132:
-------------------------------------

Ah, I see.  Personally I'd rather not support 3 ways to do it, and changing 
ours over to the new scheme provides examples (and implicit documentation) on 
how others should do it.

That being said, it _is_ more work to convert them over.  If we can get a 
lightweight one working at all I'm for it even if we don't use it ourselves, 
but I think there are advantages to moving our legacy filesystems over to the 
new approach.

> Filesystem discovery to stop loading implementation classes
> -----------------------------------------------------------
>
>                 Key: HADOOP-14132
>                 URL: https://issues.apache.org/jira/browse/HADOOP-14132
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs, fs/adl, fs/azure, fs/oss, fs/s3, fs/swift
>    Affects Versions: 2.7.3
>            Reporter: Steve Loughran
>            Assignee: Steve Loughran
>
> Integration testing of Hadoop with the HADOOP-14040 has shown up that the 
> move to a shaded AWS JAR is slowing all hadoop client code down.
> I believe this is due to how we use service discovery to identify FS 
> implementations: the implementation classes themselves are instantiated.
> This has known problems today with classloading, but clearly impacts 
> performance too, especially with complex transitive dependencies unique to 
> the loaded class.
> Proposed: have lightweight service declaration classes which implement an 
> interface declaring
> # schema
> # classname of FileSystem impl
> # classname of AbstractFS impl
> # homepage (for third party code, support, etc)
> These are what we register and scan in the FS to look for services.
> This will leave the question about what to do for existing filesystems? I 
> think we'll need to retain the old code for external ones, while moving the 
> hadoop modules to the new ones



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