[jira] [Resolved] (CASSANDRA-5085) Hadoop map reduce job work wrong with big wide rows

["Jonathan Ellis (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/CASSANDRA-5085?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jonathan Ellis resolved CASSANDRA-5085.
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    Resolution: Fixed

There are multiple bugs with wide row iteration in 1.1.1, please upgrade.
                
> Hadoop map reduce job work wrong with big wide rows 
> ----------------------------------------------------
>
>                 Key: CASSANDRA-5085
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-5085
>             Project: Cassandra
>          Issue Type: Bug
>          Components: Hadoop
>    Affects Versions: 1.1.1
>         Environment: Centos 6.0, 7 node cluster (24gb ram, 16 core) , replication factor=2
>            Reporter: tu nguyen khac
>
> I have 7 nodes cassandra (1.1.1) and hadoop (1.03) cluster ( tasktracker install on every cassandra node).
> and my column family use wide row pattern. 1 row contains about 200k columns (max about 300k).
> My problem is that: when i use Hadoop to run analytic jobs ( count numbers of occurrence of a something in data) the result i received is wrong ( result is too lower as I expected in test records)
> there 's one strange when we monitoring on job tracker is map progress task indicate wrong ( in my image below ) , And number of "Map input records" when I rerun job ( same data) is not same.

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