How to use Textacular Gem to search data in your Rails Application

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What is the Textacular Gem?

The Textacular Gem is a powerful tool that enhances the search functionality of your Rails application. With its advanced capabilities, you can easily search and retrieve data from your database with just a few lines of code. By integrating the Textacular Gem into your project, you can provide your users with a seamless and efficient search experience.

Using the Textacular Gem in your Rails Application

Integrating the Textacular Gem into your Rails application is straightforward. Follow these steps to get started:

Step 1: Install the Gem

To install the Textacular Gem, add it to your Gemfile:

gem 'textacular'

Then run the bundle install command to install the Gem:

$ bundle install

Step 2: Configure the Model

Now, you need to configure the model you want to enable searching on. Let's assume you have a model called "Product". In your "Product" model, add the following line:

class Product < ApplicationRecord searchable_columns :name, :description, :category end

Make sure to replace "name", "description", and "category" with the actual columns you want to include in the search.

Step 3: Perform the Search

With the Textacular Gem set up, you can now perform a search on your model. In your controller, add the following code:

@products = Product.textacular_search(params[:query])

This will return an array of products that match the search query.

Advanced Search Options

The Textacular Gem provides various advanced search options to further refine your search results. Some of these options include:

  • Ignoring stopwords: You can configure the Gem to ignore commonly used words like "and", "the", and "is" to focus on the more relevant keywords.
  • Ranking results: The Gem allows you to rank the search results based on specific columns, such as relevance or popularity, providing a more tailored search experience.
  • Partial matching: You can enable partial matching to retrieve results that contain a partial match with the search query, improving the overall search accuracy.

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