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Guozhang Wang commented on KAFKA-4212: -------------------------------------- When creating the windowed store with {code} Stores.withKeys(...) .withValues(...) .persistent() .windowed(...) {code} In {{windowed}} users can specify the window size and whether "retainDuplicates"; if "retainDuplicates" is set to false, and then you put records into the window store with the floored timestamp by the window size using {{put(key, value, timestamp)}}, then records with the same key and the same floored timestamp (i.e. they falls into the same window) will overwrite old ones with the same key, hence you do not need to reverse scanning in order to find the latest value. > 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 > Assignee: Guozhang Wang > > 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)