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stack commented on HBASE-576: ----------------------------- Did a little informal test. I put up 4 regionservers in my little cluster, loaded it w/ million rows then did random reading against the million rows from a remote client (different network). I tried with different numbers of clients. While the clients ran, I watched them in the profiler and I watched the requests/second up on the master node. Here's a rough recording of what I saw up on the master requests/second. 1 client - 230/s 4 clients - 630/s 16 clients - 1050/s 32 clients - 2460/s 64 clients - 2770/s 128 clients - 1150/s 256 clients - 1100/s For the 128 and 256 clients, I could most threads blocked in the client. According to the profiler, when 4 or more clients, the RPC threads are spending all their time i/o on the net. That 4 clients don't max the request/second would seem to say servers can easily carry more than one client request at a time (duh). When the number of clients goes > 64, client looks like it starts to trip itself up spending bulk of time blocked. > Investigate IPC performance > --------------------------- > > Key: HBASE-576 > URL: https://issues.apache.org/jira/browse/HBASE-576 > Project: Hadoop HBase > Issue Type: Improvement > Components: ipc > Affects Versions: 0.1.0, 0.1.1, 0.1.2, 0.2.0 > Reporter: Jim Kellerman > Assignee: stack > Attachments: htd.patch, pe.patch > > > Turning off all file I/O, and running the PerformanceEvaluation test, of > 1,048,576 sequential writes to HBase managed to achieve only 7,285 IPCs per > second. > Running PerformanceEvaluation sequential write test modified to do an abort > instead of a commit, it was possible to do 68,337 operations per second. We > are obviously spending a lot of time doing IPCs. > We need to investigate to find the bottleneck. Marshalling and unmarshalling? > Socket setup and teardown? -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.