El 02/10/2012 11:32, Greg Ross escribió:
Thanks for the suggestions.

I was attempting to tune the GC via mapred.child.java.opts in the job's
Oozie config instead of in hbase-env.sh. I think this is why my efforts
were to no avail. It was likely having no effect on the read/write
performance. Is there any way of specifying job-specific HBase parameters
instead of globally setting them in hbase-env.sh?

The cluster has 175 nodes. Each with 48GB of RAM. The overall data input
size is 7TB and I pre-split the table into initially 30 regions, then 100
in another attempt. Each job runs upon 700GB chunks of the data. I used
RegionSplitter to create and condition the table and therefore there's
currently no compression. I'm thinking to recreate the table and 'alter' it
with LZO compression before attempting the jobs again.
There are many points that you can do for HBase performance tuning.
In the Lars George´s book "HBase: The Definitive Guide", the Chapter 11 is dedicated
to this tricky topic, and in the HBase book, there are good points too:

http://hbase.apache.org/book.html#perf.reading

Thanks to Doug for the link.



Cheers.

Greg



On Tue, Oct 2, 2012 at 7:20 AM, Damien Hardy <[email protected]> wrote:

Hello

2012/10/2 Marcos Ortiz <[email protected]>

Another thing that I´m seeing is that one of your main process is
compaction,
so you can optimize all this inceasing the size of your regions (by
defaulf the size of a
region is 256 MB), but you will have in your hands a "split/compaction
storm" like
Lars called them on his book.

Actually it seams like the default value for hbase.hregion.max.filesize in
0.92 was increased up to 1Go.
http://hbase.apache.org/book/upgrade0.92.html#d2051e266

But you can set it to more (max is 20Go) and split manually.
http://hbase.apache.org/book/important_configurations.html#bigger.regions

Cheers,

--
Dam




--
Marcos Ortiz Valmaseda,
Data Engineer && Senior System Administrator at UCI
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