You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@crunch.apache.org by "Mikael Goldmann (JIRA)" <ji...@apache.org> on 2017/08/17 15:43:00 UTC

[jira] [Updated] (CRUNCH-655) DefaultJoinStrategy full outer join failing for spark pipeline

     [ https://issues.apache.org/jira/browse/CRUNCH-655?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mikael Goldmann updated CRUNCH-655:
-----------------------------------
    Attachment:     (was: OuterJoinTest.java)

> DefaultJoinStrategy full outer join failing for spark pipeline
> --------------------------------------------------------------
>
>                 Key: CRUNCH-655
>                 URL: https://issues.apache.org/jira/browse/CRUNCH-655
>             Project: Crunch
>          Issue Type: Bug
>          Components: Spark
>         Environment: Mac OSX, crunch 0.13.0 and 0.15.0 (with reproduction code), Ubuntu 14.04 (repro code not tried, but similar issue in production with 0.13.0)
>            Reporter: Mikael Goldmann
>
> When the left and right table in the the join have entries with the same key, they do not alway end up together. Cannot reproduce when running the join with a single reducer, and happens more commonly if there are many reducers and very few copies of each key to the left and right.
> My guess is that it sometimes happens that the left value for key k ends up on a different reducer from the right value with key k.
> With my production issue, it went away if I either used a single reducer or used cogroup instead.
> I've attached a class to reproduce the issue.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)