That seems like too much client threads. How much mb/sec did you on that 1
On Friday, October 25, 2013, Vladimir Rodionov wrote:
> You can not saturate region server with one client (unless you probably
> use hbase-async) if all data is cached in RAM.
> In our performance tests we have run 10 clients (on different hosts) with
> 30 threads each to max out 1 RS when all data
> is in cache (block, page, etc).
> Best regards,
> Vladimir Rodionov
> Principal Platform Engineer
> Carrier IQ, www.carrieriq.com
> Sent: Friday, October 25, 2013 9:35 AM
> Subject: Re: Linear Scalability in HBase
> For me scalability is to achieve same throughput and latency with the
> increase in number of clients.
> In my case the data set increases with the number of clients. That's the
> reason I vary both clients and region servers.
> I'm trying to identify how the cluster should grow to handle data from more
> clients so that the operations throughput and latency is under defined
> Currently the limit is 15K OPS throughput and 1 ms latency.
> To test, I have kept the data increase at around 15 million per server.
> Each YCSB client actually runs 32 threads. So it is actually 15 million
> more data for 32 more clients.
> All machines are physical servers.
> 1) Read and write latency is around 1 ms in first whereas in second case
> its little higher at 1.1 to 1.2 ms.
> 2) Keeping same number of clients as the first case, the latency reduced to
> 0.7 ms but throughput came down further to just 9K OPS
> For the tests, I'm running both clients and Region servers on same machine.
> But I tried in 8 Server scenario to run clients on different machines but
> results were almost same as that of running clients on same machine.
> Ganglia shows that system load is around 30% in both scenarios.
> What I wanted to understand is how to grow the cluster to meet the needs of
> both throughput and latency?
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