with_advisory_lock VS pg_search

Advisory locking is a mechanism used to prevent concurrent execution of code without necessarily locking the database table or row. In core Ruby, this is implemented using mutex. In Rails, the Ruby gem with_advisory_lock can be used to add advisory locking (mutexes) to ActiveRecord when used with MySQL or PostgreSQL.

On the backend, we'll need a few tools. Apart from the classics (ActiveRecord scopes and the pg_search gem), you’ll see how the (yet officially unreleased but production-tested) all_futures gem, built by SR authors, will act as an ideal ephemeral object to temporarily store our filter params and host our search logic. Finally, we’ll use pagy for pagination duties.

You can take a look at pg_search if you’re using Postgres

This was a really good read, thanks. I've got into the habit of jumping straight to PgSearch but could definitely apply this approach to some existing projects.

Cleaner, more performant database queries: Definitely don't just leave your query sitting in the controller! For production use cases, you'd want to consider an option like pg_search

If you are using Rails with Postgres you can use pg_search gem to build the named scopes to take advantage of full text search.

https://github.com/Casecommons/pg_search

Hey guys. Looking to release an app for mobile that will be using a rails API. The app will heavily rely on search. I know the go-to is to use elasticsearch but wanted to see if there was enough user demand for the MVP before shelling out $50/mo for the heroku add on. In the mean time I've been using pg_search. From the eye test it's performing okay but will be adding a table that houses over 350K records. With this in mind I was wondering if you all had any tips for increasing the overall speed for search from the model and controller level. Also should note that I'm open to any other free search gems if they deem bette fit.

There are two basic search configurations with pg_search, a Single Model search scope or a multi Model configuration. In my case I am only using the Single Model configuration, but you can read more about multi-search in the documentation.