Excellent Thank you.
On Wed, Jul 14, 2021 at 5:53 AM Igal Shilman wrote:
> Hi Ammon,
>
> The duration is per item, and the cleanup happens transparently and
> incrementally via RocksDB (background compactions with a custom filter) [1]
>
> In your example a gets cleaned up, while b will be clean
Hi Ammon,
The duration is per item, and the cleanup happens transparently and
incrementally via RocksDB (background compactions with a custom filter) [1]
In your example a gets cleaned up, while b will be cleaned in ~10min.
Kind regards,
Igal.
[1]
https://ci.apache.org/projects/flink/flink-doc
Thank you for asking. I meant PersistedTable
->
https://github.com/apache/flink-statefun/blob/release-3.0/statefun-sdk-embedded/src/main/java/org/apache/flink/statefun/sdk/state/PersistedTable.java
It is related to state backend. I am using rocksdb backend.
On Tue, Jul 13, 2021 at 8:53 PM Caiz
Hi
By PersistentTable do you mean state backend? If yes, the answer differs
with different operators and state backends.
For keyed states the duration is for per key. However the exact time to
clean up a key really depends on the operator and the state backend. Most
operators will register a time
