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Full-Text Search in PostgreSQL
Postgres offers full-text searching right out of the box. This episode shows how to write queries from scratch, apply tools like Texticle and pg_search, and optimize performance through indexes.
(16 minutes)
Autocomplete Search Terms
Learn how to add autocompletion to a search form and improve performance using Rack middleware, caching and switching from SQL to Redis.
(17 minutes)
Advanced Search Form (revised)
It is often best to use a GET request when submitting a search form, however if it is an advanced search form with a lot of fields then this may not be ideal. Here I show how to create a search resource to handle this.
(6 minutes)
Search with Sunspot
Sunspot makes it easy to do full text searching through Solr. Here I show how to search on various attributes and add facets for filtering the search further.
(10 minutes)
Search, Sort, Paginate with AJAX
Many administration pages have search, sorting, and pagination on the index page. See how to add all of this including AJAX.
(13 minutes)
Ransack
Ransack allows you to easily build complex search forms. It also helps in adding sortable links and building a dynamic advanced search page.
(10 minutes)
DataTables
DataTables makes it easy to convert a plain HTML table into one with pagination, sorting, and searching - all done with JavaScript and jQuery. Here I show how to set this up and use a Rails application as the data source.
(9 minutes)
Thinking Sphinx (revised)
Sphinx is a full-text search engine for use with MySQL or PostgreSQL. Learn how to add Thinking Sphinx by defining an index on your model and searching with various options.
(10 minutes)
ElasticSearch Part 1
Add full text searching using ElasticSearch and Tire. Here I will show the steps involved in adding this search to an existing application. This is the first part in a two part series.
(9 minutes)
Advanced Search Form
If you need to create an advanced search with a lot of fields, it may not be ideal to use a GET request as I showed in episode 37. In this episode I will show you how to handle this by creating a Search resource.
(7 minutes)