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#sqlite

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As a stress test I loaded 8M bookmarks into a little SQLite backed bookmark saving/sharing web app I'm building. The slowest part turned out to be the `SELECT count(1) FROM bookmarks` query that's used as part of the pagination UI. Not what I was expecting but known/expected behaviour from what I've read. It takes 400ms on Snapdragon X Elite CPU, which is fine in practice—I'd be surprised if anyone actually stored more than 100k items in it.

I'm a database extremist. I default to #SQLite for pretty much anything.

As an independent software consultant, I need time tracking and CRM like anyone else. Guess what? It's just a single SQLite database file. :D Has worked wonderfully for years using just a database viewer app. (Tableplus, if you're wondering.)

But now, with this wonderful tool from Rune Kaagaard, I can hook up my database to Anthropic's Claude, and get insights into my time spent as well as my connections, just by chatting with Claude Sonnet 3.7.

Wild! :D

github.com/runekaagaard/mcp-al

GitHubGitHub - runekaagaard/mcp-alchemy: A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL.A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL. - runekaagaard/mcp-alchemy

Anyone using #litestream for an #sqlite DB

I have a 3GB database, and Litestream is replicating it to another server. However, it seems to be running out of control with disk space. On the original server (where the live DB is) is a
generations folder under the hidden litestream folder. It is full of WAL files. Currently over 37,000 files consuming 118GB of disk space.

My config includes
retention: 24h and retention-check-interval: 1h with a snapshot-interval: 4h. I understood it would delete anything older than 24 hours. Am I doing something wrong? These wal files go back to the day I started using litestream

#GoToSocial #gts @gotosocial@thefedi.forum