ksdb/wiki/Compression
> [2] https://issues.apache.org/jira/browse/FLINK-30321
> [3] https://cwiki.apache.org/confluence/display/FLINK/1.17+Release
> [4]
> https://github.com/ververica/frocksdb/blob/FRocksDB-6.20.3/FROCKSDB-RELEASE.md
>
> --
> Best,
> Yanfei
> Ververica
Hi,
There is a ZLIB vulnerability reported by the official National
Vulnerability Database. This vulnerability causes memory corruption while
deflating with ZLIB version less than 1.2.12.
Here is the link for details...
https://nvd.nist.gov/vuln/detail/cve-2018-25032#vulnCurrentDescriptionTitle
ity, I would recommend first upgrading to
> a later, supported version like Flink 1.16.
>
> Best regards,
>
> Martijn
>
> On Sat, Nov 12, 2022 at 8:07 PM Vidya Sagar Mula
> wrote:
>
>> Hi Yanfei,
>>
>> Thank you for the response. I have follow up answer and
skManager crashes, the `RocksDBKeyedStateBackend` can't
> be disposed/closed normally, so the existing rocksdb instance directory
> would remain.
>
> BTW, if you use Application Mode on k8s, if a TaskManager(pod) crashes,
> the rocksdb directory would be deleted as the pod is released.
Hi,
I am using RocksDB state backend for incremental checkpointing with Flink
1.11 version.
Question:
--
For a given Job ID, Intermediate RocksDB checkpoints are stored under the
path defined with ""
The files are stored with "_jobID+ radom UUID" prefixed to the location.
Case : 1
-
Hi,
I am using RocksDB state backend for incremental checkpointing with Flink
1.11 version.
Question:
--
For a given Job ID, Intermediate RocksDB checkpoints are stored under the
path defined with ""
The files are stored with "_jobID+ radom UUID" prefixed to the location.
Case : 1
-
release-1.13/docs/ops/monitoring/back_pressure/
> [2]
> https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/dev/datastream/fault-tolerance/custom_serialization/
>
> Best,
> Yun Tang
> --
> *From:* Vidya Sagar Mula
> *Sent:* Sund
Hi,
In my project, we are trying to configure the "Incremental checkpointing"
with RocksDB in the backend.
We are using Flink 1.11 version and RockDB with AWS : S3 backend
Issue:
--
In my pipeline, my window size is 5 mins and the incremental checkpointing
is happening for every 2 mins.
I am
