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From 牛兆捷 <nzjem...@gmail.com>
Subject Re: performance of block cache
Date Mon, 15 Sep 2014 06:58:01 GMT
java -d64 version works well in the shell.

2014-09-15 11:59 GMT+08:00 牛兆捷 <nzjemail@gmail.com>:

> I use hbase-0.98-5-hadoop2 and modify the default heap size of region
> server in hbase-env.sh as below (keep all the other parameters in the file
> default):
>
> export HBASE_REGIONSERVER_OPTS="-Xmn200m
> -XX:CMSInitiatingOccupancyFraction=70  -Xms1024m -Xmx8000m"
>
> The error occurs when I start hbase cluster:
>
> 10.1.255.246: Invalid maximum heap size: -Xmx8000m
> 10.1.255.246: The specified size exceeds the maximum representable size.
> 10.1.255.246: Could not create the Java virtual machine.
>
> The jvm I use is 64 bit :
>
> java version "1.6.0_39"
> Java(TM) SE Runtime Environment (build 1.6.0_39-b04)
> Java HotSpot(TM) 64-Bit Server VM (build 20.14-b01, mixed mode)
>
> Why 8G setting exceeds the maximum representable size.
>
> 2014-09-15 11:39 GMT+08:00 Nick Dimiduk <ndimiduk@gmail.com>:
>
>> The scripts automate use of the tool PerformanceEvaluation that ships with
>> HBase, so in that way it runs against a cluster directly. It depends on
>> having independent configuration directories set up for each test
>> config. There's probably too much custom-to-my-environment stuff in there,
>> but I hope I included enough diffs that you can work it out in your
>> deployment. Let me know if you have any more questions.
>>
>> -n
>>
>> On Sunday, September 14, 2014, 牛兆捷 <nzjemail@gmail.com> wrote:
>>
>> > Hi, Nick
>> >
>> > Can your perf_blockcache performance testing script can be applied to
>> hbase
>> > cluster directly?
>> > If not, what kind of things should I take care?
>> >
>> > 2014-08-22 7:06 GMT+08:00 Nick Dimiduk <ndimiduk@gmail.com
>> <javascript:;>
>> > >:
>> >
>> > > I'm familiar with Stack's work too, but thanks for pointing it out :)
>> > >
>> > > On Wed, Aug 20, 2014 at 8:19 PM, 牛兆捷 <nzjemail@gmail.com
>> <javascript:;>>
>> > wrote:
>> > >
>> > > > Hi Nick:
>> > > >
>> > > > Yes, I am interested in it. I will try first.
>> > > >
>> > > > Btw, this site (http://people.apache.org/~stack/bc/) also does the
>> > > similar
>> > > > performance evaluation.
>> > > > You can have a look if you are interested in.
>> > > >
>> > > >
>> > > > 2014-08-21 1:48 GMT+08:00 Nick Dimiduk <ndimiduk@gmail.com
>> > <javascript:;>>:
>> > > >
>> > > > > Hi Zhaojie,
>> > > > >
>> > > > > I'm responsible for this particular bit of work. One thing to
>> note in
>> > > > these
>> > > > > experiments is that I did not control explicitly for OS caching.
I
>> > ran
>> > > > > "warmup" workloads before collecting measurements, but because
the
>> > > amount
>> > > > > of RAM on the machine is fixed, it's impact of OS cache is
>> different
>> > > with
>> > > > > different based on the amount of memory used by HBase. Another,
as
>> > Todd
>> > > > > pointed out on an earlier thread, is that my trend lines are
>> probably
>> > > > > optimistic/misleading.
>> > > > >
>> > > > > Something I was driving for was to understand how well the
>> different
>> > > > > implementations before as they're managing more and more memory.
>> I'd
>> > > like
>> > > > > to get some insight into how we might be able to take advantage
of
>> > > 100's
>> > > > or
>> > > > > even 1000's of GB of memory when the time comes. That's part
of
>> why
>> > > > there's
>> > > > > so many variables.
>> > > > >
>> > > > > I scripted out the running of the tests, all of my configurations
>> are
>> > > > > available in the associated github repo [0], and all of the data
>> > points
>> > > > are
>> > > > > available as a csv. If you're interested in experimenting
>> yourself,
>> > > > please
>> > > > > let me know how I can help.
>> > > > >
>> > > > > Cheers,
>> > > > > Nick
>> > > > >
>> > > > > [0]: https://github.com/ndimiduk/perf_blockcache
>> > > > >
>> > > > >
>> > > > > On Wed, Aug 20, 2014 at 6:00 AM, 牛兆捷 <nzjemail@gmail.com
>> > <javascript:;>> wrote:
>> > > > >
>> > > > > > the complete blog link is:
>> > > > > > http://zh.hortonworks.com/blog/blockcache-showdown-hbase/
>> > > > > >
>> > > > > >
>> > > > > > 2014-08-20 11:41 GMT+08:00 牛兆捷 <nzjemail@gmail.com
>> <javascript:;>
>> > >:
>> > > > > >
>> > > > > > > Hi all:
>> > > > > > >
>> > > > > > > I saw some interesting results from Hortonworks blog
(block
>> cache
>> > > > > > > <
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> http://zh.hortonworks.com/wp-content/uploads/2014/03/perfeval_blockcache_v2.pdf
>> > > > > > >
>> > > > > > > ).
>> > > > > > >
>> > > > > > > In this result, the ratio of memory footprint to database
>> size is
>> > > > held
>> > > > > > > fixed while
>> > > > > > > the absolute values are increased.
>> > > > > > >
>> > > > > > > In my mind, the performance should becomes worse for
larger
>> ratio
>> > > as
>> > > > > the
>> > > > > > > increase
>> > > > > > > of the absolute value. For example BucketCache#(tmpfs),
the
>> > > > difference
>> > > > > > > between ratio (DB"1.5":"RAM"1.0) and ratio (DB"4.5":"RAM"1.0)
>> > > becomes
>> > > > > > > larger as the increase of memory.
>> > > > > > > Actually, the result of ratio ( DB"1.5":"RAM"1.0) increase
>> > > linearly,
>> > > > > and
>> > > > > > > the result of ratio (DB"1.5":"RAM"1.0) exponentially.
>> > > > > > >
>> > > > > > > However, for BucketCache#(heap) and LruBlockCache,
the result
>> is
>> > > out
>> > > > of
>> > > > > > my
>> > > > > > > expectation.
>> > > > > > > The curves of ratio (DB"1.5":"RAM"1.0) and ratio
>> > (DB"4.5":"RAM"1.0)
>> > > > > both
>> > > > > > > increase exponentially, but the relative differences
as the
>> > > increase
>> > > > of
>> > > > > > > memory are not consistent.
>> > > > > > > Take LruBlockCache as an example, the difference of
ratio
>> > > > > > > (DB"1.5":"RAM"1.0) and ratio (DB"4.5":"RAM"1.0) becomes
>> smaller
>> > > from
>> > > > 20
>> > > > > > GB
>> > > > > > > to 50 GB, but becomes larger from 50 GB to 60 GB.
>> > > > > > >
>> > > > > > > How to analysis the cause of this result, any ideas?
>> > > > > > >
>> > > > > > > --
>> > > > > > > *Regards,*
>> > > > > > > *Zhaojie*
>> > > > > > >
>> > > > > > >
>> > > > > >
>> > > > > >
>> > > > > > --
>> > > > > > *Regards,*
>> > > > > > *Zhaojie*
>> > > > > >
>> > > > >
>> > > >
>> > > >
>> > > >
>> > > > --
>> > > > *Regards,*
>> > > > *Zhaojie*
>> > > >
>> > >
>> >
>> >
>> >
>> > --
>> > *Regards,*
>> > *Zhaojie*
>> >
>>
>
>
>
> --
> *Regards,*
> *Zhaojie*
>
>


-- 
*Regards,*
*Zhaojie*

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