[jira] Commented: (NUTCH-893) DataStore.put() silently loses records when executed from multiple processes

["Andrzej Bialecki (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/NUTCH-893?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12907297#action_12907297 ] 

Andrzej Bialecki  commented on NUTCH-893:
-----------------------------------------

Very good catch - yes, the test now passes for me too. This is actually good news for Gora :) I'll continue digging regarding NUTCH-879 ... don't hesitate if you have any ideas how to solve that. I suspect we may be losing keys in Generator or Fetcher, due to partitioning collisions but this hypothesis needs to be tested.

> DataStore.put() silently loses records when executed from multiple processes
> ----------------------------------------------------------------------------
>
>                 Key: NUTCH-893
>                 URL: https://issues.apache.org/jira/browse/NUTCH-893
>             Project: Nutch
>          Issue Type: Bug
>    Affects Versions: 2.0
>         Environment: Gora HEAD, SqlStore, MySQL 5.1, Ubuntu 10.4 x64, Sun JDK 1.6
>            Reporter: Andrzej Bialecki 
>            Priority: Blocker
>             Fix For: 2.0
>
>         Attachments: NUTCH-893.patch, NUTCH-893_v2.patch
>
>
> In order to debug the issue described in NUTCH-879 I created a test to simulate multiple clients appending to webtable (please see the patch), which is the situation that we have in distributed map-reduce jobs.
> There are two tests there: one that uses multiple threads within the same JVM, and another that uses single thread in multiple JVMs. Each test first clears webtable (be careful!), and then puts a bunch of pages, and finally counts that all are present and their values correspond to keys. To make things more interesting each execution context (thread or process) closes and reopens its instance of DataStore a few times.
> The multithreaded test passes just fine. However, the multi-process test fails with missing keys, as many as 30%.

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