You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@kafka.apache.org by "Guozhang Wang (JIRA)" <ji...@apache.org> on 2016/11/11 21:07:59 UTC

[jira] [Updated] (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 ]

Guozhang Wang updated KAFKA-4212:
---------------------------------
    Labels: api  (was: )

> 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
>              Labels: api
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)