This example is completely artificial in that the data generated is created on the client-side by just looping around a Javascript array and then passing that to DataTables. However, it does show quite nicely that DataTables and Scroller can cope with large amounts of data on the client-side quite nicely. Typically data such as this would be Ajax sourced and server-side processing should be considered.
Please be aware that the performance of this page will depend on your browser as the array of data is generated - for example IE6 will crawl!
| ID | First name | Last name | ZIP / Post code | Country |
|---|
The Javascript shown below is used to initialise the table shown in this example:
$(document).ready(function() {
var data = [];
for ( var i=0 ; i<50000 ; i++ ) {
data.push( [ i, i, i, i, i ] );
}
var oTable = $('#example').dataTable( {
data: data,
deferRender: true,
dom: "frtiS",
scrollY: 200,
scrollCollapse: true
} );
} );
In addition to the above code, the following Javascript library files are loaded for use in this example:
The HTML shown below is the raw HTML table element, before it has been enhanced by DataTables:
This example uses a little bit of additional CSS beyond what is loaded from the library files (below), in order to correctly display the table. The additional CSS used is shown below:
The following CSS library files are loaded for use in this example to provide the styling of the table:
This table loads data by Ajax. The latest data that has been loaded is shown below. This data will update automatically as any additional data is loaded.
The script used to perform the server-side processing for this table is shown below. Please note that this is just an example script using PHP. Server-side processing scripts can be written in any language, using the protocol described in the DataTables documentation.