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https://issues.apache.org/jira/browse/FLINK-2188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14578957#comment-14578957
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Hilmi Yildirim edited comment on FLINK-2188 at 6/9/15 2:19 PM:
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It takes time to embed the original TableInputFormat from hbase into the Flink
code. Unfortunately, I have no time to do this. It would be great if you
provide me a code snippet that I can test it.
Thanks.
was (Author: hilmiyildirim):
It takes time to embed the original TableInputFormat from hbase into the Flink
code. Unfortunately, I have no time to do this. it would be great if you
provide me a code snippet that I can test it.
Thanks.
> 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
> Priority: Critical
> Attachments: flinkTest.zip
>
>
> 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.
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