django-haystack/queued_search

queued_search is a helper tool for Django websites that use Haystack for search. When someone adds or updates content on your site, updating the search index immediately can slow down the page. This tool puts those search updates into a queue instead, so the page loads quickly for the user while the index updates happen in the background. At a high level, it works by intercepting the moment when content changes. Instead of immediately re-indexing the updated content, the tool adds a task to a queue. Later, a scheduled job pulls tasks from that queue and updates the search index in batches. This keeps the user-facing experience fast while ensuring the search index stays current. This is useful for sites where content changes frequently or where search indexing is slow. For example, a blog with frequent comments or an e-commerce site with constantly updating inventory could benefit. Without a queue, every new comment or price change would trigger an immediate search update, potentially slowing down the page. With this tool, those updates are deferred and handled efficiently. The setup requires changing how your search indexes are defined so they use the queued version, and you need a separate scheduled task to process the queue. You also need both a search engine and a queue backend installed and running. The README notes that the current version works with Haystack 2.0.x, and if you need an older version, you can install a specific older release.