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From Jean-Daniel Cryans <jdcry...@apache.org>
Subject Re: Unscientific comparison of fully-cached zipfian reading
Date Wed, 22 May 2013 17:23:02 GMT
On Tue, May 21, 2013 at 6:08 PM, lars hofhansl <larsh@apache.org> wrote:
> I just did a similar test using PE on a test cluster (16 DNs/RSs, 158 mappers).
> I set it up such that the data does not fit into the aggregate block cache, but does
fit into the aggregate OS buffer cache, in my case that turned out to be 100m 1k rows.
> Now I ran the SequentialRead and RandomRead tests.
> In both cases I see no disk activity (since the data fits into the OS cache). The SequentialRead
run finishes in about 7mins, whereas the RandomRead run takes over 34mins.
> This is with CDH4.2.1 and HBase 0.94.7 compiled against it and with SCR enabled.
> The only difference is that in the SequentialRead case it is likely that the next Get
can still use the previously cached block, whereas in the RandomRead read almost every Get
need to fetch a block from the OS cache (as verified by the cache miss rate, which is roughly
the same as the request count per RegionServer). Except for enabling SCR all other settings
are close to the defaults.
> I see 2000-4000 req/s/regionserver and the same number of cache missed per second and
RegionServer in the RandomRead, meaning each RegionServer brought in about 125-200mb/s from
the OS cache, which seems a tad low.

That's a lot of variance. In my test the latencies I wrote there were
stable around those numbers. So we have a different way of measuring?

> So this would imply that reading from the OS cache is almost 5x slower than reading from
the block cache. It would be interesting to explore the discrepancy.
> -- Lars
> ________________________________
>  From: Jean-Daniel Cryans <jdcryans@apache.org>
> To: "dev@hbase.apache.org" <dev@hbase.apache.org>
> Sent: Wednesday, April 24, 2013 6:01 PM
> Subject: Unscientific comparison of fully-cached zipfian reading
> Hey guys,
> I did a little benchmarking to see what kind of numbers we get from the
> block cache and the OS cache. Please see:
> https://docs.google.com/spreadsheet/pub?key=0Ao87IrzZJSaydENaem5USWg4TlRKcHl0dEtTS2NBOUE&output=html
> Hopefully it gives you some ballpark numbers for further discussion.
> J-D

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