Revamp Your Datatable Like a Pro: A Step-by-Step Tutorial with Code Snippets

Table of content

  1. Introduction
  2. Understanding the Basics of Datatable
  3. Designing Stylish Datatables
  4. Adding Interactive Features
  5. Enhancing Performance of Datatables
  6. Optimizing Data Management
  7. Utilizing Code Snippets to Revamp Your Datatable
  8. Conclusion


In Android application development, displaying data in a table format is a common requirement. However, implementing a table with all the necessary features can be a challenging task. This is where the Datatable library comes in handy. The Datatable library provides an easy-to-use, customizable, and feature-rich solution to display data in a table format with various functionalities such as sorting, searching, filtering, pagination, and more.

In this tutorial, we will take you through the steps to revamp your Datatable like a pro. We will cover all the essential features of the Datatable library and provide you with code snippets to make your implementation effortless. By the end of this tutorial, you will be able to create a sleek, responsive, and interactive Datatable that will enhance the user experience of your application. So, let's get started!

Understanding the Basics of Datatable

Datatable is a powerful tool for working with data in an Android application. It allows you to manipulate and display data in various formats, such as tables and grids, making it easy for users to view and interact with information. Before diving into how to revamp your datatable, it's important to first understand some basic concepts related to datatable. These include:

  • Data source: This refers to where the data you want to display in your datatable is coming from. It could be from a local database, a web service, or an external API.

  • Columns and rows: A datatable is made up of columns and rows, just like a traditional spreadsheet.

  • Sorting and filtering: You can sort and filter data in your datatable based on specific criteria, such as alphabetical order, numerical order, or date range.

  • Pagination: If your datatable contains a large amount of data, you can break it up into smaller pages, making it easier for users to navigate.

  • Customization: Datatable allows for a high degree of customization, from the design and layout to the functionality and features.

By understanding these basics of datatable, you can start to see the possibilities of how you can use datatable to display data in your Android application. Whether it's for a simple list of items or a complex grid of data, datatable can help you organize and present information in a way that is intuitive and user-friendly. In the next sections, we will explore more advanced techniques for working with datatable, including how to add sorting, filtering, and pagination to your datatable, as well as how to customize the design and layout to match your application's branding and style.

Designing Stylish Datatables

When it comes to designing datatables, there are several key factors to consider in order to create a user-friendly and visually appealing interface. Here are a few tips to keep in mind as you design your datatable:

1. Choose the Right Colors

The colors you choose can have a big impact on how your datatable looks and feels. Consider using colors that complement your app's overall design scheme, and avoid using too many bright or clashing colors that might be overwhelming. You can also use different colors to distinguish between different types of data, such as headers, rows, and columns.

2. Use Appropriate Fonts

Fonts are another important element of datatable design. Make sure to choose a font that is easy to read and fits the overall style of your app. You may also want to use different font weights or styles to differentiate between different types of data.

3. Add Icons and Images

Adding icons or images to your datatable can help make it more visually appealing and user-friendly. For example, you could use icons to indicate different sorting options or add a thumbnail image next to each row of data to make it easier to recognize.

4. Consider Responsive Design

Finally, it's important to keep responsive design in mind as you design your datatable. Make sure that your datatable looks good on a variety of different screen sizes, and consider using responsive design techniques like media queries to adjust the layout of your datatable as needed.

By following these tips and taking the time to experiment with different design elements, you can create a stylish and user-friendly datatable that enhances the overall user experience of your app.

Adding Interactive Features

A datatable can be made more engaging by to it. Here are some ways you can add interactivity to your datatable:


Sorting is the process of arranging data in a specific order. A datatable can be sorted by a particular column in ascending or descending order.

    "order": [[ 3, "desc" ]]

In the above example, we are defining the datatable with an order option, which sorts the datatable by the fourth column in descending order.


Searching is an essential feature in a datatable, as it allows users to find specific data within the datatable. Datatables provides several options for searching, such as a global search bar or column-specific search options.

    "searching": true,
    "search": { "regex": true }

In the above example, we are enabling searching in the datatable and allowing for regular expression matching in the search function.


Pagination is the process of dividing data into multiple pages to make it easier to navigate. Datatables provides pagination options that allow you to specify the number of rows per page and the number of pages that should be displayed.

    "paging": true,
    "pageLength": 10

In the above example, we are enabling pagination and specifying that each page should have ten rows.


Filtering allows users to view specific data by applying filters to the datatable. Datatables provides filtering options that allow you to filter data based on specific columns or ranges of values.

    "columnDefs": [
        { "type": "num-fmt", "targets": 3 }
    "initComplete": function () {
        this.api().columns().every( function () {
            var column = this;
            var select = $('<select><option value=""></option></select>')
                .appendTo( $(column.footer()).empty() )
                .on( 'change', function () {
                    var val = $.fn.dataTable.util.escapeRegex(
                        .search( val ? '^'+val+'$' : '', true, false )
                } );
   function ( d, j ) {
                select.append( '<option value="'+d+'">'+d+'</option>' )
            } );
        } );

In this example, we are defining a custom filtering function that allows users to select values from a dropdown menu to filter the datatable.

By adding interactivity to your datatable, you can create a more engaging user experience and make data more accessible to users. The examples provided above are just a few ways you can add interactivity to your datatable, and there are many more options available within the Datatables library.

Enhancing Performance of Datatables

One of the key factors in building a successful data-driven application is performance. If your data table is slow or unresponsive, your users will quickly become frustrated and may abandon your application altogether. Here are some tips for optimizing the performance of your datatables:

1. Reduce the number of records displayed

One of the easiest ways to improve the performance of your datatable is to reduce the number of records displayed at a time. This can be achieved by using pagination or lazy loading, which only load a subset of records at a time.

2. Use server-side processing

By default, datatables perform all processing on the client-side. However, this can be a performance bottleneck for large datasets. By using server-side processing, you can move the heavy lifting to the server and only return the necessary data to the client.

3. Minimize DOM manipulation

Each time a user interacts with the datatable, the DOM is manipulated to reflect the changes. This can be a time-consuming process, especially when dealing with a large number of records. Minimize the amount of DOM manipulation by using event delegation and batching DOM updates.

4. Optimize your queries

If your datatable is backed by a database, make sure your queries are optimized for performance. This may involve using indexes or rewriting your queries to be more efficient.

5. Avoid unnecessary calculations

Avoid performing unnecessary calculations on the client-side. For example, if you need to calculate the sum or average of a column, these calculations should be performed server-side and returned to the client as part of the data.

By implementing these tips, you can significantly improve the performance of your datatables and ensure a smooth user experience for your users.

Optimizing Data Management

One of the most important aspects of developing an Android application is being able to effectively manage data. This includes storing and retrieving data from a database, as well as displaying it in a user-friendly way. Here are some tips on how to optimize data management in your application:

Use a Content Provider

Content providers are a way to manage access to a structured set of data. They allow you to share data between different components of your application or even between different applications. By using a content provider, you can ensure that your data is accessed and modified in a consistent and secure way.

Implement Caching

Caching is the process of storing data in memory or on disk so that it can be quickly retrieved the next time it is needed. By implementing caching, you can improve the performance of your application and reduce the amount of time it takes to fetch data from a remote server. Consider using a library like OkHttp or Retrofit, which support caching out of the box.

Use Pagination

If your application needs to display large amounts of data, consider using pagination to reduce the amount of data that needs to be loaded at any given time. This can help improve the performance of your application and reduce the amount of memory needed to display the data. Popular libraries like Paging 3 and Jetpack Compose support pagination out of the box.

Optimize Database Queries

If you're using a SQLite database to store your data, you should pay careful attention to how you're querying that data. Make sure you're using indexes for frequently accessed columns, and try to avoid complex queries that can slow down your application. You can also consider using a library like Room, which provides an ORM layer on top of SQLite and can help simplify database access and query optimization.

By following these best practices for data management in your Android application, you can ensure that your application is performant, secure, and user-friendly.

Utilizing Code Snippets to Revamp Your Datatable

One of the most exciting aspects of DataTables is that it is highly customizable. By using code snippets, you can quickly and easily make extensive changes to your data tables, enhancing their functionality and user-friendliness. Here are some tips for utilizing code snippets effectively:

Start with the Basics

Before you begin using code snippets, it's essential to have a solid understanding of the basics of DataTables. These include how to load data into a table, how to add columns and rows, and how to apply basic formatting. Once you have a firm grasp on these concepts, you can start exploring more advanced customization options.

Use Existing Snippets

Many developers have created custom code snippets that you can use to enhance your data tables. These snippets can be found on various forums, blogs, and websites. By using existing code, you can save yourself a lot of time and effort and achieve the desired effect much faster than if you were starting from scratch.

Modify Existing Snippets

While using existing code snippets can be incredibly useful, it's essential to remember that each data table is unique. Therefore, it's unlikely that an off-the-shelf snippet will be an exact match for your needs. However, by modifying existing code snippets, you can tailor them to fit your specific requirements.

Learning by Doing

The most effective way to master the art of using code snippets is to jump right in and start experimenting. Start with something basic, like changing the background color of a column, and work your way up to more complex customizations. As you work, you'll learn more about the types of code snippets that work best for your needs and the types of modifications you need to make to them.

By using code snippets effectively, you can revamp your data tables like a pro. Remember to start with the basics, use existing snippets as a starting point, modify them to meet your specific needs, and learn by doing. With a little bit of practice, you'll be well on your way to creating data tables that are both functional and visually appealing.


In , datatables are a crucial component of many Android applications, and revamping them to make them more visually appealing and user-friendly can greatly enhance the overall user experience. By following the step-by-step tutorial provided in this article and using the code snippets provided as a reference, developers can create datatables that are not only functional but also aesthetically pleasing. From adding custom fonts and colors to implementing pagination and sorting functionalities, there are numerous ways to revamp a datatable like a pro. By experimenting with different styles and techniques, developers can create datatables that are tailored to the specific needs of their applications and users. With the right tools and techniques, revamping datatables can be a fun and rewarding process that can help elevate the overall quality of an Android application.

As a developer, I have experience in full-stack web application development, and I'm passionate about utilizing innovative design strategies and cutting-edge technologies to develop distributed web applications and services. My areas of interest extend to IoT, Blockchain, Cloud, and Virtualization technologies, and I have a proficiency in building efficient Cloud Native Big Data applications. Throughout my academic projects and industry experiences, I have worked with various programming languages such as Go, Python, Ruby, and Elixir/Erlang. My diverse skillset allows me to approach problems from different angles and implement effective solutions. Above all, I value the opportunity to learn and grow in a dynamic environment. I believe that the eagerness to learn is crucial in developing oneself, and I strive to work with the best in order to bring out the best in myself.
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