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Posted to jira@kafka.apache.org by "Matthias J. Sax (Jira)" <ji...@apache.org> on 2025/01/02 19:53:00 UTC
[jira] [Resolved] (KAFKA-4212) Add a key-value store that is a TTL persistent cache
[ https://issues.apache.org/jira/browse/KAFKA-4212?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Matthias J. Sax resolved KAFKA-4212.
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Fix Version/s: 2.1.0
Resolution: Fixed
> Add a key-value store that is a TTL persistent cache
> ----------------------------------------------------
>
> Key: KAFKA-4212
> URL: https://issues.apache.org/jira/browse/KAFKA-4212
> Project: Kafka
> Issue Type: Improvement
> Components: streams
> Affects Versions: 0.10.0.1
> Reporter: Elias Levy
> Priority: Major
> Labels: api
> Fix For: 2.1.0
>
>
> Some jobs needs to maintain as state a large set of key-values for some period of time. I.e. they need to maintain a TTL cache of values potentially larger than memory.
> Currently Kafka Streams provides non-windowed and windowed key-value stores. Neither is an exact fit to this use case.
> The {{RocksDBStore}}, a {{KeyValueStore}}, stores one value per key as required, but does not support expiration. The TTL option of RocksDB is explicitly not used.
> The {{RocksDBWindowsStore}}, a {{WindowsStore}}, can expire items via segment dropping, but it stores multiple items per key, based on their timestamp. But this store can be repurposed as a cache by fetching the items in reverse chronological order and returning the first item found.
> KAFKA-2594 introduced a fixed-capacity in-memory LRU caching store, but here we desire a variable-capacity memory-overflowing TTL caching store.
> Although {{RocksDBWindowsStore}} can be repurposed as a cache, it would be useful to have an official and proper TTL cache API and implementation.
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