1nickt recommended memcached, which fits your use case. I can also recommend looking at Sphinx Search, which can be used as a fast indexed/in-memory data store. It's more effective as you add more data (talking millions - or more - of records). It's a little harder to set up than memcached, but can be federated/sharded. It also has a query language of its own that can be used like most SQL constraints. The Perl module for it, Sphinx::Search, is also quite mature and robust. Sphinx also has capabilities that allow the index to be updated incrementally as well. You may also want to checkout Redis, which while not billed as a cache (but as a shared data structure server/middleware), it can be uses quite effectively as a cache or ephemeral data store.

In reply to Re: Caching DB rows transparently and with SQL search by perlfan
in thread Caching DB rows transparently and with SQL search by bliako

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