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>
>>>  -
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>>
>>
>>
>
>
> --
> *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>
>  -
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>
>
>


-- 
*Jason Brelloch* | Product Developer
3405 Piedmont Rd. NE, Suite 325, Atlanta, GA 30305
<http://www.bettercloud.com/>
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