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https://issues.apache.org/jira/browse/FLINK-2188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14579148#comment-14579148
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Hilmi Yildirim commented on FLINK-2188:
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FYI. I exported the hbase table to a hdfs file. Then, I counted the number of
rows and it worked. Further, I implemented a word count on the hdfs file and it
also worked.
> 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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