DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Last call! Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Related

  • Unmasking Entity-Based Data Masking: Best Practices 2025
  • The Human Side of Logs: What Unstructured Data Is Trying to Tell You
  • The Cypress Edge: Next-Level Testing Strategies for React Developers
  • Power BI Embedded Analytics — Part 1.1: Power BI Authoring Data Federation

Trending

  • Start Coding With Google Cloud Workstations
  • Measuring the Impact of AI on Software Engineering Productivity
  • How Large Tech Companies Architect Resilient Systems for Millions of Users
  • Artificial Intelligence, Real Consequences: Balancing Good vs Evil AI [Infographic]
  1. DZone
  2. Data Engineering
  3. Data
  4. Pagination: Server Side or Client Side?

Pagination: Server Side or Client Side?

By 
Nitin Aggarwal user avatar
Nitin Aggarwal
·
Jan. 27, 09 · Tutorial
Likes (2)
Comment
Save
Tweet
Share
74.7K Views

Join the DZone community and get the full member experience.

Join For Free

Numerous times in your projects you might have to face a situation where you need to pull chunks of data dynamically. The obvious issue that you then face is pagination\sorting and filtering. You then start to think if it would be better to handle it all at the server side or should hold back and handle it on the client side.

Well there is no clear winner amongst the two; neither there is a right or wrong approach.

The right answer depends on your priorities and the size of the data set to be paginated.

If you have large number of pages doing it on client side will make your user download all the data at first which might not be needed, and will defeat the primary benefit of pagination. In such a scenario you are better of requesting pages in chunks from the server via AJAX. So let the server do the pagination. You can also pre-fetch the next few pages the user will likely view to make the interface seem more responsive. However, when implementing it, you need to make sure that you’re optimizing your SQL properly. For instance, I believe in MySQL, if you use the LIMIT option it doesn’t use the index so you need to rewrite your SQL to use the index properly.

If there are only few pages, grabbing it all up-front and paginating on the client may be a better choice. That gives you the obvious benefit of faster subsequent page loads. Unless really required we should not choose the Server side pagination in such a case.

Server side pagination is better for:

  • Large data set
  • Faster initial page load
  • Accessibility for those not running JavaScript
  • Complex view business logic
  • Resilience to concurrent changes

Client side pagination is better for:

  • Small data set
  • Faster subsequent page loads
  • Sort & filter requirements supported fully (unless results greater than max size).

To sum up, if you’re paginating for primarily cosmetic reasons, it makes more sense to handle it client side. And if you’re paginating to reduce initial load time, server side is the obvious choice. Of course, client side’s advantage on subsequent page load times diminishes if you utilize Ajax to load subsequent pages.

for more information click here

Comments\suggestions are welcome.

Data (computing)

Opinions expressed by DZone contributors are their own.

Related

  • Unmasking Entity-Based Data Masking: Best Practices 2025
  • The Human Side of Logs: What Unstructured Data Is Trying to Tell You
  • The Cypress Edge: Next-Level Testing Strategies for React Developers
  • Power BI Embedded Analytics — Part 1.1: Power BI Authoring Data Federation

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!