> On Nov. 2, 2016, 7:01 p.m., Chris Pettitt wrote: > > samza-core/src/main/java/org/apache/samza/util/TimerClock.java, line 25 > > <https://reviews.apache.org/r/53282/diff/1/?file=1548709#file1548709line25> > > > > We have a HighResolutionClock that does this. I think you can use it > > here.
I was thinking about using it at first. But the HighResolutionClock has two functions, nanoTime() and sleep(). The second method does not fit here for my usage. The other benefit of using a single method interface here is that I can do lambda function, which makes code nicer to read :). Or I can remove the nanoTime() interface from HighResolutionClock and let HighResolutionClock extends from TimerClock. Does this sound better to you? - Xinyu ----------------------------------------------------------- This is an automatically generated e-mail. To reply, visit: https://reviews.apache.org/r/53282/#review154611 ----------------------------------------------------------- On Nov. 2, 2016, 5:56 p.m., Xinyu Liu wrote: > > ----------------------------------------------------------- > This is an automatically generated e-mail. To reply, visit: > https://reviews.apache.org/r/53282/ > ----------------------------------------------------------- > > (Updated Nov. 2, 2016, 5:56 p.m.) > > > Review request for samza, Chris Pettitt, Jake Maes, and Navina Ramesh. > > > Repository: samza > > > Description > ------- > > In the recent experiments of samza batch job (consuming hdfs data on hadoop), > the results are subpar to map/reduce and spark. By looking at the metrics > closely, we found two basic problems: > > 1) Not enough data to process. This is spotted as the unprocessed message > queue length was zero for quite a lot of times. > > 2) Not process fast enough. We found samza performed closely in both median > size records (100B) and small record (10B), while spark can scale very well > in the small record (over 1M/s). > > The first problem is solved by increasing the buffer size. This ticket is to > address the second problem, which contains three major improvements: > > - Option to turn off timer metrics calculation: one of the main time spent in > samza processing turns out to be just keeping the timer metrics. While it is > useful in debugging, it becomes a bottleneck when running a stable job with > high performance. In my testing job which consumes 8M mock data, it took 30 > secs with timer metrics on. After turning it off, it only took 14 secs. > > - Java coding improvements: The AsyncRunLoop code can be further optimized > for efficiency. Some of the thread-safe data structure I am using is not for > optimal performance (Collections.synchronizedSet). I switched to use > CopyOnWriteArraySet, which has far better performance due to more reads and > small set size. > > - Specific handling for in-order processing improvements: AsyncRunLoop > handles the callbacks regardless of whether it's in-order or out-of-order > (max concurrency > 1), which incurs quite some cost. By simplying the logic > for in-order handling, the performance gains. > > After all three improvements, my test job with mock input (8M messages) can > be processed within 8 sec (down from org 30 secs), so it's 1M/s for one cpu > core. > > For the performance benchmark jobs running in Hadoop, we also see a 4 times > improvement with all the fixes above. Please take a look at the attached > spreedsheet (see the numbers with fix(turn off the timing metrics) and > fix2(all three together). > > > Diffs > ----- > > samza-core/src/main/java/org/apache/samza/container/RunLoopFactory.java > 609a956a1f2fa97419c2f66fe2fb6876aaaeecd0 > samza-core/src/main/java/org/apache/samza/task/AsyncRunLoop.java > 8fac8155c7f64e67d4a39ec6943f98da1e1d63d9 > samza-core/src/main/java/org/apache/samza/task/CoordinatorRequests.java > 052b3b91ec609ca6288662cfa2d3e71b0273d020 > samza-core/src/main/java/org/apache/samza/task/TaskCallbackImpl.java > 9b700998d2af040c6734289f7f28bbd78c36bd2c > samza-core/src/main/java/org/apache/samza/task/TaskCallbackManager.java > 132cf59eb593524a4cac134aeceeeb37a4c74b1f > samza-core/src/main/java/org/apache/samza/util/TimerClock.java PRE-CREATION > samza-core/src/main/java/org/apache/samza/util/Utils.java > 472e0a59d5aa992b136292c8a3347c311e2cd606 > samza-core/src/main/scala/org/apache/samza/config/MetricsConfig.scala > c3fd8bfb2e16a4c5146d34682d04cb1d4e9bbe72 > samza-core/src/main/scala/org/apache/samza/container/SamzaContainer.scala > e0468ee89c89fd720834461771ebb36475475bcb > samza-core/src/main/scala/org/apache/samza/system/SystemConsumers.scala > e2aed5b1c2e77a914268963b21809380972037b6 > samza-core/src/main/scala/org/apache/samza/util/Util.scala > c4836f202f7eda1d4e71eac94fd48e46207b0316 > samza-core/src/test/java/org/apache/samza/task/TestAsyncRunLoop.java > 6000ffaf2b8723d48a72e58b571f242a42dc8128 > samza-core/src/test/java/org/apache/samza/task/TestAsyncStreamAdapter.java > 99e1e18bcfa6bca1e275d8ae030a77ff8d70a4eb > samza-core/src/test/java/org/apache/samza/task/TestTaskCallbackImpl.java > f1dbf35165e6ddfc02e3522887c25d78a4bbfcd7 > samza-core/src/test/java/org/apache/samza/task/TestTaskCallbackManager.java > d7110f34a9eae6e9ffc15b4982bfbb180da88b2d > > samza-kv/src/main/scala/org/apache/samza/storage/kv/BaseKeyValueStorageEngineFactory.scala > c975893a42689732c39c39600fecacee843bf9d6 > > Diff: https://reviews.apache.org/r/53282/diff/ > > > Testing > ------- > > ./gradlew build > > Tested in the yarn hadoop cluster with different kinds of jobs. > > > File Attachments > ---------------- > > hdfs performance > > https://reviews.apache.org/media/uploaded/files/2016/11/02/c05007fe-2fdd-4c8c-b5ef-b7862dea13b2__hdfs_perf.png > > > Thanks, > > Xinyu Liu > >
