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From guy sharon <guy.sharon.1...@gmail.com>
Subject Re: benchmarking
Date Tue, 28 Aug 2018 19:18:24 GMT
hi Jeremy,

Do you have any information on how you configure them and what kind of
hardware they run on?

Thanks,
Guy.



On Tue, Aug 28, 2018 at 3:44 PM Jeremy Kepner <kepner@ll.mit.edu> wrote:

> FYI, Single node Accumulo instances is our most popular deployment.
> We have hundreds of them.   Accummulo is so fast that it can replace
> what would normally require 20 MySQL servers.
>
> Regards.  -Jeremy
>
> On Tue, Aug 28, 2018 at 07:38:37AM +0000, Sean Busbey wrote:
> > Hi Guy,
> >
> > Apache Accumulo is designed for horizontally scaling out for large scale
> workloads that need to do random reads and writes. There's a non-trivial
> amount of overhead that comes with a system aimed at doing that on
> thousands of nodes.
> >
> > If your use case works for a single laptop with such a small number of
> entries and exhaustive scans, then Accumulo is probably not the correct
> tool for the job.
> >
> > For example, on my laptop (i7 2 cores, 8GiB memory) with that dataset
> size you can just rely on a file format like Apache Avro:
> >
> > busbey$ time java -jar avro-tools-1.7.7.jar random --codec snappy
> --count 6300000 --schema '{ "type": "record", "name": "entry", "fields": [
> { "name": "field0", "type": "string" } ] }' ~/Downloads/6.3m_entries.avro
> > Aug 28, 2018 12:31:13 AM org.apache.hadoop.util.NativeCodeLoader <clinit>
> > WARNING: Unable to load native-hadoop library for your platform... using
> builtin-java classes where applicable
> > test.seed=1535441473243
> >
> > real  0m5.451s
> > user  0m5.922s
> > sys   0m0.656s
> > busbey$ ls -lah ~/Downloads/6.3m_entries.avro
> > -rwxrwxrwx  1 busbey  staff   186M Aug 28 00:31
> /Users/busbey/Downloads/6.3m_entries.avro
> > busbey$ time java -jar avro-tools-1.7.7.jar tojson
> ~/Downloads/6.3m_entries.avro | wc -l
> >  6300000
> >
> > real  0m4.239s
> > user  0m6.026s
> > sys   0m0.721s
> >
> > I'd recommend that you start at >= 5 nodes if you want to look at rough
> per-node throughput capabilities.
> >
> >
> > On 2018/08/28 06:59:38, guy sharon <guy.sharon.1977@gmail.com> wrote:
> > > hi Mike,
> > >
> > > Thanks for the links.
> > >
> > > My current setup is a 4 node cluster (tserver, master, gc, monitor)
> running
> > > on Alpine Docker containers on a laptop with an i7 processor (8 cores)
> with
> > > 16GB of RAM. As an example I'm running a count of all entries for a
> table
> > > with 6.3M entries with "accumulo shell -u root -p secret  -e "scan -t
> > > benchmark_table -np" | wc -l" and it takes 43 seconds. Not sure if
> this is
> > > reasonable or not. Seems a little slow to me. What do you think?
> > >
> > > BR,
> > > Guy.
> > >
> > >
> > >
> > >
> > > On Mon, Aug 27, 2018 at 4:43 PM Michael Wall <mjwall@apache.org>
> wrote:
> > >
> > > > Hi Guy,
> > > >
> > > > Here are a couple links I found.  Can you tell us more about your
> setup
> > > > and what you are seeing?
> > > >
> > > > https://accumulo.apache.org/papers/accumulo-benchmarking-2.1.pdf
> > > > https://www.youtube.com/watch?v=Ae9THpmpFpM
> > > >
> > > > Mike
> > > >
> > > >
> > > > On Sat, Aug 25, 2018 at 5:09 PM guy sharon <
> guy.sharon.1977@gmail.com>
> > > > wrote:
> > > >
> > > >> hi,
> > > >>
> > > >> I've just started working with Accumulo and I think I'm
> experiencing slow
> > > >> reads/writes. I'm aware of the recommended configuration. Does
> anyone know
> > > >> of any standard benchmarks and benchmarking tools I can use to tell
> if the
> > > >> performance I'm getting is reasonable?
> > > >>
> > > >>
> > > >>
> > >
>

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