Question 1

How do I set up fuzzy search with Textacular in Rails?

Accepted Answer

First, run the provided migration to install the pg_trgm module using 'rake textacular:create_trigram_migration' and 'rake db:migrate'. Then, use the fuzzy_search method on models, but note the default similarity threshold of 0.3, which can be adjusted with set_limit.

Question 2

What's the difference between Textacular and Elasticsearch for Rails search?

Accepted Answer

Textacular leverages PostgreSQL's built-in search, making it lighter and more integrated for Postgres-based apps, while Elasticsearch is a separate search engine offering better scalability and advanced features like faceting but with higher complexity and maintenance.

Question 3

Which PostgreSQL version is needed for web_search in Textacular?

Accepted Answer

The web_search method requires PostgreSQL 11 or higher to use the websearch_to_tsquery function, as mentioned in the README. Older versions won't support this syntax parsing feature.

Question 4

Can Textacular handle searches in non-English languages?

Accepted Answer

Yes, by overriding the searchable_language class method in your model (e.g., 'russian'), you can customize the dictionary, but ensure your PostgreSQL installation supports the language and adjust indexes accordingly.

Question 5

How to create indexes for faster Textacular searches?

Accepted Answer

For basic_search, add GIN indexes with to_tsvector; for fuzzy_search, use GiST indexes with gist_trgm_ops, as shown in the migration examples. Indexes must be created for each column to avoid full table scans.

Question 6

Does Textacular work with Rails 6 or 7?

Accepted Answer

The gem supports newer Rails versions with the ~> 5.0 gem version, but compatibility details are sparse; check the GitHub actions or issues for specific version testing, as the README primarily highlights Rails 3 and 4 support.

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