Best practices for configuring SQLite WAL mode in multi-process Python applications?
Hey devs, quick architectural question regarding localized storage pipelines.
I have a background data scraping script written in Python that logs continuous network transaction payloads down into a local SQLite instance on a Linux box. To prevent write-heavy operations from locking up the file system or blocking simultaneous read streams, I recently enabled Write-Ahead Logging (PRAGMA journal_mode=WAL;).
While read operations have speed up significantly, I am noticing some minor database latency when running multiple worker checkpoints simultaneously.
Are there any specific connection timeout thresholds, checkpoint intervals, or thread-safety parameters (like locking_mode or synchronous configurations) that I should enforce inside my Python scripts to guarantee absolute data preservation without deadlocks?
Any insights or boilerplate config snippets would be highly appreciated!