Datatables is a nifty jquery plugin that adds the ability to paginate, sort, and search your html tables. When dealing with large tables (more than a couple hundred rows) however, we run into performance issues. These can be fixed by using server-side pagination, but this breaks some datatables functionality.
ajax-datatables-rails
is a wrapper around datatable's ajax methods that allow synchronization with server-side pagination in a rails app.
Add these lines to your application's Gemfile:
gem 'jquery-datatables-rails'
gem 'ajax-datatables-rails'
And then execute:
$ bundle
The following examples assume that we are setting up ajax-datatables-rails for an index of users from a User
model
Run the following command:
$ rails generate ajaxdatatable User
This will generate a file named users_datatable.rb
in app/datatables
. Open the file and customize in the functions as directed by the comments
def initialize(view)
@model_name = User
@columns = # insert array of column names here
@searchable_columns = #insert array of columns that will be searched
super(view)
end
-
For
@columns
, assign an array of the database columns that correspond to the columns in our view table. For example[users.f_name, users.l_name, users.bio]
. This array is used for sorting by various columns -
For
@searchable_columns
, assign an array of the database columns that you want searchable by datatables. For example[users.f_name, users.l_name]
This gives us:
def initialize(view)
@model_name = User
@columns = [users.f_name, users.l_name, users.bio]
@searchable_columns = [users.f_name, users.l_name]
super(view)
end
def data
users.map do |user|
[
# comma separated list of the values for each cell of a table row
]
end
end
This method builds a 2d array that is used by datatables to construct the html table. Insert the values you want on each column.
def data
users.map do |user|
[
user.f_name,
user.l_name,
user.bio
]
end
end
def get_raw_records
# insert query here
end
This is where your query goes.
def get_raw_records
User.all
end
Set up the controller to respond to JSON
def index
respond_to do |format|
format.html
format.json { render json: UsersDatatable.new(view_context) }
end
end
- Set up an html
<table>
with a<thead>
and<tbody>
- Add in your table headers if desired
- Don't add any rows to the body of the table, datatables does this automatically
- Add a data attribute to the
<table>
tag with the url of the JSON feed
The resulting view may look like this:
<table id="user-table", data-source="<%= users_path(format: :json) %>">
<thead>
<tr>
<th>First Name</th>
<th>Last Name</th>
<th>Brief Bio</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
Finally, the javascript to tie this all together. In the appropriate js.coffee
file:
$ ->
$('#users-table').dataTable
bProcessing: true
bServerSide: true
sAjaxSource: $('#users-table').data('source')
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Added some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request