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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-5129) make the BlobServer use a distributed file system
Date Fri, 06 Jan 2017 16:48:58 GMT

    [ https://issues.apache.org/jira/browse/FLINK-5129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15804969#comment-15804969
] 

ASF GitHub Bot commented on FLINK-5129:
---------------------------------------

GitHub user NicoK opened a pull request:

    https://github.com/apache/flink/pull/3076

    [FLINK-5129] make the BlobServer use a distributed file system

    Make the BlobCache use the BlobServer's distributed file system in HA mode: previously
even in HA mode and if the cache has access to the file system, it would download BLOBs from
one central BlobServer. By using the distributed file system beneath we may leverage its scalability
and remove a single point of (performance) failure. If the distributed file system is not
accessible at the blob
    caches, the old behaviour is used.
    
    @uce can you have a look?

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/NicoK/flink FLINK-5129a

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/3076.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #3076
    
----
commit 464f2c834688507c67acb3ad584827132ebe444e
Author: Nico Kruber <nico@data-artisans.com>
Date:   2016-11-22T11:49:03Z

    [hotfix] remove unused package-private BlobUtils#copyFromRecoveryPath
    
    This was actually the same implementation as
    FileSystemBlobStore#get(java.lang.String, java.io.File) and either of the two
    could have been removed but the implementation makes most sense at the
    concrete file system abstraction layer, i.e. in FileSystemBlobStore.

commit 2ebffd4c2d499b61f164b4d54dc86c9d44b9c0ea
Author: Nico Kruber <nico@data-artisans.com>
Date:   2016-11-23T15:11:35Z

    [hotfix] do not create intermediate strings inside String.format in BlobUtils

commit 36ab6121e336f63138e442ea48a751ede7fb04c3
Author: Nico Kruber <nico@data-artisans.com>
Date:   2016-11-24T16:11:19Z

    [hotfix] properly shut down the BlobServer in BlobServerRangeTest

commit c8c12c67ae875ca5c96db78375bef880cf2a3c59
Author: Nico Kruber <nico@data-artisans.com>
Date:   2017-01-05T17:06:01Z

    [hotfix] use JUnit's TemporaryFolder in BlobRecoveryITCase, too
    
    This makes cleaning up simpler.

commit a078cb0c26071fe70e3668d23d0c8bef8550892f
Author: Nico Kruber <nico@data-artisans.com>
Date:   2017-01-05T17:27:00Z

    [hotfix] add a missing "'" to the BlobStore class

commit a643f0b989c640a81b112ad14ae27a2a2b1ab257
Author: Nico Kruber <nico@data-artisans.com>
Date:   2017-01-05T17:07:13Z

    [FLINK-5129] BlobServer: include the cluster id in the HA storage path for blobs
    
    This applies to the ZookeeperHaServices implementation.

commit 7d832919040059961940fc96d0cdb285bc9f77d3
Author: Nico Kruber <nico@data-artisans.com>
Date:   2017-01-05T17:18:10Z

    [FLINK-5129] unify duplicate code between the BlobServer and ZookeeperHaServices
    
    (this was introduced by c64860677f)

commit 19879a01b99c4772a09627eb5f380f794f6c1e27
Author: Nico Kruber <nico@data-artisans.com>
Date:   2016-11-30T13:52:12Z

    [hotfix] add some more documentation in BlobStore-related classes

commit 80c17ef83104d1186c06d8f5d4cde11e4b05f2b8
Author: Nico Kruber <nico@data-artisans.com>
Date:   2017-01-06T10:55:23Z

    [hotfix] minor code beautifications when checking parameters
    
    + also check the blobService parameter in BlobLibraryCacheManager

commit ff920e48bd69acef280bdef2a12e5f5f9cca3a88
Author: Nico Kruber <nico@data-artisans.com>
Date:   2017-01-06T13:21:42Z

    [FLINK-5129] let BlobUtils#initStorageDirectory() throw a proper IOException

commit c8e2815787338f52e5ad369bcaedb1798284dd29
Author: Nico Kruber <nico@data-artisans.com>
Date:   2017-01-06T13:59:51Z

    [hotfix] simplify code in BlobCache#deleteGlobal()
    
    Also, re-order the code so that a local delete is always tried before creating
    a connection to the BlobServer. If that fails, the local file is deleted at
    least.

commit 38626a705fd0725a8e54f2ee1c3d0ec410184b8a
Author: Nico Kruber <nico@data-artisans.com>
Date:   2017-01-06T14:06:30Z

    [FLINK-5129] make the BlobCache also use a distributed file system in HA mode
    
    If available (in HA mode), download the jar files from the distributed file
    system directly instead of querying the BlobServer. This way the load is more
    distributed among the nodes of the file system (depending on its implementation
    of course) compared to putting all the burden on a single BlobServer.

commit 1e86c5c92f9ac35c26c1e707d2d840c4edbeefb1
Author: Nico Kruber <nico@data-artisans.com>
Date:   2016-11-29T17:11:06Z

    [hotfix] re-use some code in BlobServerDeleteTest

commit 68d2959b60f6b583cb48de8ed5aee3e18b163082
Author: Nico Kruber <nico@data-artisans.com>
Date:   2016-11-30T13:35:38Z

    [hotfix] improve some failure messages in the BlobService's HA unit tests

commit 7cfbeb7707329cad57604a58f44254d4f8b6c9b3
Author: Nico Kruber <nico@data-artisans.com>
Date:   2017-01-06T16:21:05Z

    [FLINK-5129] add unit tests for the BlobCache accessing the distributed FS directly

----


> make the BlobServer use a distributed file system
> -------------------------------------------------
>
>                 Key: FLINK-5129
>                 URL: https://issues.apache.org/jira/browse/FLINK-5129
>             Project: Flink
>          Issue Type: Improvement
>          Components: Network
>            Reporter: Nico Kruber
>            Assignee: Nico Kruber
>
> Currently, the BlobServer uses a local storage and, in addition when the HA mode is set,
a distributed file system, e.g. hdfs. This, however, is only used by the JobManager and all
TaskManager instances request blobs from the JobManager. By using the distributed file system
there as well, we would lower the load on the JobManager and increase scalability.



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