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From "Kumar, Deepak8 " <deepak8.ku...@citi.com>
Subject RE: Hadoop Realtime Queries
Date Thu, 31 Jul 2014 07:38:17 GMT
As far as I know, real time queries are only possible using HBase & cloudera search. Hive
would be a batch process, it is not real time. So instead of tuning different parameters ,
may be you could look for different architecture design so that you could use HBase.


From: Natarajan, Prabakaran 1. (NSN - IN/Bangalore) [mailto:prabakaran.1.natarajan@nsn.com]
Sent: Thursday, July 31, 2014 3:32 AM
To: user@hadoop.apache.org
Subject: Hadoop Realtime Queries


I want to perform realtime query on HDFS data.   I tried hadoop/yarnt/hive, shark on spark,
Tez, etc.,
But still I couldn't get subsecond performance on the large data that I have.
I understand hadoop is not meant for this, but still want to achieve as max as possible

1.       How can we tune RHEL OS for this?
2.       How can we tune yarn?
3.       Is there is any stable framework like Tez which can perform much better
4.       Is there is any caching strategy that we can adopt?
5.       Any articles related to this are welcome

Thanks in Advance


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