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From Yi Jiang <yi.ji...@ubisoft.com>
Subject Re: Performance for hive external to hbase with serval terabyte or more data
Date Thu, 12 May 2016 03:15:28 GMT

Hi Sathi
Thank you for the answer. But we will load data from hbase to hive, let map reduce to process
those data. I am not sure if it is efficient in sever for those terabytes data
Thanks l
Jacky


On May 11, 2016, at 11:03 PM, Sathi Chowdhury <sathi.chowdhury@lithium.com<mailto:sathi.chowdhury@lithium.com>>
wrote:

Hi Yang,
Did you think of bulk loading option?

http://blog.cloudera.com/blog/2013/09/how-to-use-hbase-bulk-loading-and-why/
This may be a way to go .
Thanks
Sathi


On May 11, 2016, at 6:07 PM, Yi Jiang <yi.jiang@ubisoft.com<mailto:yi.jiang@ubisoft.com>>
wrote:

Hi, Guys
Recently we are debating the usage for hbase as our destination for data pipeline job.
Basically, we want to save our logs into hbase, and our pipeline can generate 2-4 terabytes
data everyday, but our IT department think it is not good idea to scan so hbase, it will cause
the performance and memory issue. And they ask our just keep 15 minutes data amount in the
hbase for real time analysis.
For now, I am using hive to external to hbase, but what I am thinking that for map reduce
job, what kind of mapper it is using to scan the data from hbase? Is it TableInputFormatBase?
and how many mapper it will use in hive to scan the hbase. Is it efficient or not? Will it
cause the performance issue if we have couple T's or more larger data amount?
I am also trying to index some columns that we might use to query. But  I am not sure if it
is good idea to keep so much history data in the hbase for query.
Thank you
Jacky


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