Ok, so I loaded the dump into Eclipse Mat and followed:
https://cwiki.apache.org/confluence/display/FLINK/Debugging+ClassLoader+leaks

- On the Histogram, I got over 30 entries for: ChildFirstClassLoader
- Then I clicked on one of them "Merge Shortest Path..." and picked
"Exclude all phantom/weak/soft references"
- Which then gave me: SqlDriverManager > Apache Ignite JdbcThin Driver

So i'm guessing anything JDBC based. I should copy into the task manager
libs folder and my jobs make the dependencies as compile only?

On Tue, Apr 19, 2022 at 12:18 PM Yaroslav Tkachenko <yaros...@goldsky.io>
wrote:

> Also https://shopify.engineering/optimizing-apache-flink-applications-tips
> might be helpful (has a section on profiling, as well as classloading).
>
> On Tue, Apr 19, 2022 at 4:35 AM Chesnay Schepler <ches...@apache.org>
> wrote:
>
>> We have a very rough "guide" in the wiki (it's just the specific steps I
>> took to debug another leak):
>>
>> https://cwiki.apache.org/confluence/display/FLINK/Debugging+ClassLoader+leaks
>>
>> On 19/04/2022 12:01, huweihua wrote:
>>
>> Hi, John
>>
>> Sorry for the late reply. You can use MAT[1] to analyze the dump file.
>> Check whether have too many loaded classes.
>>
>> [1] https://www.eclipse.org/mat/
>>
>> 2022年4月18日 下午9:55,John Smith <java.dev....@gmail.com> 写道:
>>
>> Hi, can anyone help with this? I never looked at a dump file before.
>>
>> On Thu, Apr 14, 2022 at 11:59 AM John Smith <java.dev....@gmail.com>
>> wrote:
>>
>>> Hi, so I have a dump file. What do I look for?
>>>
>>> On Thu, Mar 31, 2022 at 3:28 PM John Smith <java.dev....@gmail.com>
>>> wrote:
>>>
>>>> Ok so if there's a leak, if I manually stop the job and restart it from
>>>> the UI multiple times, I won't see the issue because because the classes
>>>> are unloaded correctly?
>>>>
>>>>
>>>> On Thu, Mar 31, 2022 at 9:20 AM huweihua <huweihua....@gmail.com>
>>>> wrote:
>>>>
>>>>>
>>>>> The difference is that manually canceling the job stops the JobMaster,
>>>>> but automatic failover keeps the JobMaster running. But looking on
>>>>> TaskManager, it doesn't make much difference
>>>>>
>>>>>
>>>>> 2022年3月31日 上午4:01,John Smith <java.dev....@gmail.com> 写道:
>>>>>
>>>>> Also if I manually cancel and restart the same job over and over is it
>>>>> the same as if flink was restarting a job due to failure?
>>>>>
>>>>> I.e: When I click "Cancel Job" on the UI is the job completely
>>>>> unloaded vs when the job scheduler restarts a job because if whatever
>>>>> reason?
>>>>>
>>>>> Lile this I'll stop and restart the job a few times or maybe I can
>>>>> trick my job to fail and have the scheduler restart it. Ok let me think
>>>>> about this...
>>>>>
>>>>> On Wed, Mar 30, 2022 at 10:24 AM 胡伟华 <huweihua....@gmail.com> wrote:
>>>>>
>>>>>> So if I run the same jobs in my dev env will I still be able to see
>>>>>> the similar dump?
>>>>>>
>>>>>> I think running the same job in dev should be reproducible, maybe you
>>>>>> can have a try.
>>>>>>
>>>>>>  If not I would have to wait at a low volume time to do it on
>>>>>> production. Aldo if I recall the dump is as big as the JVM memory right 
>>>>>> so
>>>>>> if I have 10GB configed for the JVM the dump will be 10GB file?
>>>>>>
>>>>>> Yes, JMAP will pause the JVM, the time of pause depends on the size
>>>>>> to dump. you can use "jmap -dump:live" to dump only the reachable 
>>>>>> objects,
>>>>>> this will take a brief pause
>>>>>>
>>>>>>
>>>>>>
>>>>>> 2022年3月30日 下午9:47,John Smith <java.dev....@gmail.com> 写道:
>>>>>>
>>>>>> I have 3 task managers (see config below). There is total of 10 jobs
>>>>>> with 25 slots being used.
>>>>>> The jobs are 100% ETL I.e; They load Json, transform it and push it
>>>>>> to JDBC, only 1 job of the 10 is pushing to Apache Ignite cluster.
>>>>>>
>>>>>> FOR JMAP. I know that it will pause the task manager. So if I run the
>>>>>> same jobs in my dev env will I still be able to see the similar dump? I I
>>>>>> assume so. If not I would have to wait at a low volume time to do it on
>>>>>> production. Aldo if I recall the dump is as big as the JVM memory right 
>>>>>> so
>>>>>> if I have 10GB configed for the JVM the dump will be 10GB file?
>>>>>>
>>>>>>
>>>>>> # Operating system has 16GB total.
>>>>>> env.ssh.opts: -l flink -oStrictHostKeyChecking=no
>>>>>>
>>>>>> cluster.evenly-spread-out-slots: true
>>>>>>
>>>>>> taskmanager.memory.flink.size: 10240m
>>>>>> taskmanager.memory.jvm-metaspace.size: 2048m
>>>>>> taskmanager.numberOfTaskSlots: 16
>>>>>> parallelism.default: 1
>>>>>>
>>>>>> high-availability: zookeeper
>>>>>> high-availability.storageDir: file:///mnt/flink/ha/flink_1_14/
>>>>>> high-availability.zookeeper.quorum: ...
>>>>>> high-availability.zookeeper.path.root: /flink_1_14
>>>>>> high-availability.cluster-id: /flink_1_14_cluster_0001
>>>>>>
>>>>>> web.upload.dir: /mnt/flink/uploads/flink_1_14
>>>>>>
>>>>>> state.backend: rocksdb
>>>>>> state.backend.incremental: true
>>>>>> state.checkpoints.dir: file:///mnt/flink/checkpoints/flink_1_14
>>>>>> state.savepoints.dir: file:///mnt/flink/savepoints/flink_1_14
>>>>>>
>>>>>> On Wed, Mar 30, 2022 at 2:16 AM 胡伟华 <huweihua....@gmail.com> wrote:
>>>>>>
>>>>>>> Hi, John
>>>>>>>
>>>>>>> Could you tell us you application scenario? Is it a flink session
>>>>>>> cluster with a lot of jobs?
>>>>>>>
>>>>>>> Maybe you can try to dump the memory with jmap and use tools such as
>>>>>>> MAT to analyze whether there are abnormal classes and classloaders
>>>>>>>
>>>>>>>
>>>>>>> > 2022年3月30日 上午6:09,John Smith <java.dev....@gmail.com> 写道:
>>>>>>> >
>>>>>>> > Hi running 1.14.4
>>>>>>> >
>>>>>>> > My tasks manager still fails with java.lang.OutOfMemoryError:
>>>>>>> Metaspace. The metaspace out-of-memory error has occurred. This can mean
>>>>>>> two things: either the job requires a larger size of JVM metaspace to 
>>>>>>> load
>>>>>>> classes or there is a class loading leak.
>>>>>>> >
>>>>>>> > I have 2GB of metaspace configed
>>>>>>> taskmanager.memory.jvm-metaspace.size: 2048m
>>>>>>> >
>>>>>>> > But the task nodes still fail.
>>>>>>> >
>>>>>>> > When looking at the UI metrics, the metaspace starts low. Now I
>>>>>>> see 85% usage. It seems to be a class loading leak at this point, how 
>>>>>>> can
>>>>>>> we debug this issue?
>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>
>>

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