[jira] [Commented] (FLINK-2188) Reading from big HBase Tables

["Ufuk Celebi (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-2188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14578724#comment-14578724 ] 

Ufuk Celebi commented on FLINK-2188:
------------------------------------

Thanks for reporting the issue. Just to clarify/repeat from the dev@ thread: you counted with 1) accumulators (map + accumulator) and 2) flatMap.groupBy(0).sum(1). Both return an erroneous count.

Is it possible to share your usercode (privately would also work)?

> Reading from big HBase Tables
> -----------------------------
>
>                 Key: FLINK-2188
>                 URL: https://issues.apache.org/jira/browse/FLINK-2188
>             Project: Flink
>          Issue Type: Bug
>            Reporter: Hilmi Yildirim
>
> I detected a bug in the reading from a big Hbase Table.
> I used a cluster of 13 machines with 13 processing slots for each machine which results in a total number of processing slots of 169. Further, our cluster uses cdh5.4.1 and the HBase version is 1.0.0-cdh5.4.1. There is a Hbase Table with nearly 100. mio rows. I used Spark and Hive to count the number of rows and both results are identical (nearly 100 mio.). 
> Then, I used Flink to count the number of rows. For that I added the hbase-client 1.0.0-cdh5.4.1 Java API as dependency in maven and excluded the other hbase-client dependencies. The result of the job is nearly 102 mio. , 2 mio. rows more than the result of Spark and Hive. Moreover, I run the Flink job multiple times and sometimes the result fluctuates by +-5.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)