Thanks for looking into this Stefan. We are moving forward with a different strategy for now. If I want to take a look at this, where do I go to get the Flink version of RocksDB?
On Fri, May 26, 2017 at 1:06 PM, Stefan Richter <s.rich...@data-artisans.com > wrote: > I forgot to mention that you need to run this with Flink’s version of > RocksDB, as the stock version is already unable to perform the inserts > because their implementation of merge operator has a performance problem. > > Furthermore, I think a higher multiplicator than *2 is required on num > (and/or a smaller modulo on the key bytes) to trigger the problem; Noticed > that I ran it multiple times, so it added up to bigger sizes over the runs. > > Am 26.05.2017 um 18:42 schrieb Stefan Richter <s.rich...@data-artisans.com > >: > > I played a bit around with your info and this looks now like a general > problem in RocksDB to me. Or more specifically, between RocksDB and the JNI > bridge. I could reproduce the issue with the following simple test code: > > File rocksDir = new File("/tmp/rocks"); > final Options options = new Options() > .setCreateIfMissing(true) > .setMergeOperator(new StringAppendOperator()) > .setCompactionStyle(CompactionStyle.LEVEL) > .setLevelCompactionDynamicLevelBytes(true) > .setIncreaseParallelism(4) > .setUseFsync(false) > .setMaxOpenFiles(-1) > .setAllowOsBuffer(true) > .setDisableDataSync(true); > > final WriteOptions write_options = new WriteOptions() > .setSync(false) > .setDisableWAL(true); > > try (final RocksDB rocksDB = RocksDB.open(options, > rocksDir.getAbsolutePath())) { > final String key = "key"; > final String value = > "abcdefghijklmnopqrstuvwxyz0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ7890654321"; > > byte[] keyBytes = key.getBytes(StandardCharsets.UTF_8); > keyBytes = Arrays.copyOf(keyBytes, keyBytes.length + 1); > final byte[] valueBytes = value.getBytes(StandardCharsets.UTF_8); > final int num = (Integer.MAX_VALUE / valueBytes.length) * 2; > > System.out.println("begin insert"); > > final long beginInsert = System.nanoTime(); > for (int i = 0; i < num; i++) { > keyBytes[keyBytes.length - 1] = (byte) (i % 9); > rocksDB.merge(write_options, keyBytes, valueBytes); > } > final long endInsert = System.nanoTime(); > System.out.println("end insert - duration: " + ((endInsert - beginInsert) > / 1_000_000) + " ms"); > > final long beginGet = System.nanoTime(); > try (RocksIterator iterator = rocksDB.newIterator()) { > iterator.seekToFirst(); > > while (iterator.isValid()) { > iterator.next(); > byte[] bytes = iterator.value(); > System.out.println(bytes.length + " " + bytes[bytes.length - 1]); > } > } > final long endGet = System.nanoTime(); > > System.out.println("end get - duration: " + ((endGet - beginGet) / > 1_000_000) + " ms"); > } > > > Depending on how smooth the 1.3 release is going, maybe I find some time > next week to take a closer look into this. If this is urgent, please also > feel free to already report this problem to the RocksDB issue tracker. > > Best, > Stefan > > Am 26.05.2017 um 16:40 schrieb Jason Brelloch <jb.bc....@gmail.com>: > > ~2 GB was the total state in the backend. The total number of keys in the > test is 10 with an approximately even distribution of state across keys, > and parallelism of 1 so all keys are on the same taskmanager. We are using > ListState and the number of elements per list would be about 500000. > > On Fri, May 26, 2017 at 10:20 AM, Stefan Richter <s.richter@data- > artisans.com> wrote: > >> Hi, >> >> what means „our state“ in this context? The total state in the backend or >> the state under one key? If you use, e.g. list state, I could see that the >> state for one key can grow above 2GB, but once we retrieve the state back >> from RocksDB as Java arrays (in your stacktrace, when making a checkpoint), >> which are bounded in size to a maximum of 2GB (Integer.MAX_VALUE) and maybe >> that is what happens in JNI if you try to go beyond that limit. Could that >> be a reason for your problem? >> >> Am 26.05.2017 um 15:50 schrieb Robert Metzger <rmetz...@apache.org>: >> >> Hi Jason, >> >> This error is unexpected. I don't think its caused by insufficient >> memory. I'm including Stefan into the conversation, he's the RocksDB expert >> :) >> >> On Thu, May 25, 2017 at 4:15 PM, Jason Brelloch <jb.bc....@gmail.com> >> wrote: >> >>> Hey guys, >>> >>> We are running into a JVM crash on checkpointing when our rocksDB state >>> reaches a certain size on a taskmanager (about 2GB). The issue happens >>> with both a hadoop backend and just writing to a local file. >>> >>> We are running on Flink 1.2.1. >>> >>> # >>> # A fatal error has been detected by the Java Runtime Environment: >>> # >>> # SIGSEGV (0xb) at pc=0x00007febf4261b42, pid=1, tid=0x00007fead135f700 >>> # >>> # JRE version: Java(TM) SE Runtime Environment (8.0_131-b11) (build >>> 1.8.0_131-b11) >>> # Java VM: Java HotSpot(TM) 64-Bit Server VM (25.131-b11 mixed mode >>> linux-amd64 compressed oops) >>> # Problematic frame: >>> # V [libjvm.so+0x6d1b42] jni_SetByteArrayRegion+0xc2 >>> # >>> # Core dump written. Default location: //core or core.1 >>> # >>> # An error report file with more information is saved as: >>> # /tmp/hs_err_pid1.log >>> # >>> # If you would like to submit a bug report, please visit: >>> # http://bugreport.java.com/bugreport/crash.jsp >>> # >>> >>> Is this an issue with not enough memory? Or maybe not enough allocated >>> to rocksDB? >>> >>> I have attached the taskmanager logs, and the core dump. The jobmanager >>> logs just say taskmanger lost/killed. >>> >>> Thanks! >>> >>> -- >>> *Jason Brelloch* | Product Developer >>> 3405 Piedmont Rd. NE, Suite 325, Atlanta, GA 30305 >>> <http://www.bettercloud.com/> >>> Subscribe to the BetterCloud Monitor >>> <https://www.bettercloud.com/monitor?utm_source=bettercloud_email&utm_medium=email_signature&utm_campaign=monitor_launch> >>> - >>> Get IT delivered to your inbox >>> >> >> >> > > > -- > *Jason Brelloch* | Product Developer > 3405 Piedmont Rd. NE, Suite 325, Atlanta, GA 30305 > <http://www.bettercloud.com/> > Subscribe to the BetterCloud Monitor > <https://www.bettercloud.com/monitor?utm_source=bettercloud_email&utm_medium=email_signature&utm_campaign=monitor_launch> > - > Get IT delivered to your inbox > > > > -- *Jason Brelloch* | Product Developer 3405 Piedmont Rd. NE, Suite 325, Atlanta, GA 30305 <http://www.bettercloud.com/> Subscribe to the BetterCloud Monitor <https://www.bettercloud.com/monitor?utm_source=bettercloud_email&utm_medium=email_signature&utm_campaign=monitor_launch> - Get IT delivered to your inbox