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From "Josh Elser (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (ACCUMULO-4165) Create a user level API for RFile
Date Sat, 28 May 2016 01:12:12 GMT

     [ https://issues.apache.org/jira/browse/ACCUMULO-4165?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Josh Elser updated ACCUMULO-4165:
---------------------------------
    Status: Patch Available  (was: Open)

[~busbey] told me that marking "Patch Available" with a weblink to a pull request should trigger
Yetus PreCommit. Trying that out now :)

> Create a user level API for RFile
> ---------------------------------
>
>                 Key: ACCUMULO-4165
>                 URL: https://issues.apache.org/jira/browse/ACCUMULO-4165
>             Project: Accumulo
>          Issue Type: Improvement
>            Reporter: Keith Turner
>            Assignee: Keith Turner
>            Priority: Blocker
>             Fix For: 1.8.0
>
>          Time Spent: 2h
>  Remaining Estimate: 0h
>
> Users can bulk import RFiles.  Currently the only way users can create RFiles using Accumulo's
public API is via AccumuloFileOutputFormat.  There is no way to read RFiles in the public
API.   Also, the internal APIs for reading and writing RFiles are cumbersome to use.
> I am experimenting with a simple RFile API like the following.  Below is an example of
writing data.
> {code:java}
>     LocalFileSystem localFs = FileSystem.getLocal(new Configuration());
>     RFileWriter writer = RFileFactory.newWriter()
>                                        .withFileName("/tmp/test100M.rf")
>                                        .withFileSystem(localFs).build();
>     writer.startDefaultLocalityGroup();
>     for (int r = 0; r < 10000000; r++) {
>       for (int cq = 0; cq < 10; cq++) {
>         writer.append(genKey(r, cq), genVal(r, cq));
>       }
>     }
>     writer.close();
> {code}
> Below is an example of reading data.
> {code:java}
>     LocalFileSystem localFs = FileSystem.getLocal(new Configuration());
>     Scanner scanner = RFileFactory.newScanner()
>                                           .withFileName("/tmp/test100M.rf")
>                                           .withFileSystem(localFs)
>                                           .withDataCache(250000000)
>                                           .withIndexCache(1000000).build();
> {code}



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