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https://issues.apache.org/jira/browse/FLINK-2188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14578830#comment-14578830
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Ufuk Celebi commented on FLINK-2188:
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Thanks! Do you have time to test it with the original TableInputFormat from
Hadoop? I guess this is what you are using with Spark as well, right?
Hadoop IFs work out of the box with Flink as well (1).
{code}
DataSet<Tuple2<LongWritable, Text>> input =
env.readHadoopFile(new TextInputFormat(), LongWritable.class, Text.class,
textPath);
{code}
I will look into this and try to reproduce the problem locally. I can also
provide you with the code snippet for the TableInputFormat if you don't have
time to do it. Again, sorry that this has been so inconvenient.
(1)
http://ci.apache.org/projects/flink/flink-docs-master/apis/hadoop_compatibility.html
> 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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