Overview
This prompt aims to guide developers in enhancing a data table with new columns and pagination features. Programmers working on data management systems will benefit from the clear implementation instructions.
Prompt Overview
Purpose: This implementation enhances data tables by adding new columns and maintaining existing functionalities.
Audience: This is intended for developers and programmers working on data table enhancements in web applications.
Distinctive Feature: The update includes server-side pagination and ensures unique request counts remain unchanged.
Outcome: Users will benefit from improved data visibility and organization in the application interface.
Quick Specs
- Media: Text
- Use case: Generation
- Industry: Development Tools & DevOps
- Techniques: Role/Persona Prompting, Self-Critique / Reflection, Structured Output
- Models: Claude 3.5 Sonnet, Gemini 2.0 Flash, GPT-4o, Llama 3.1 70B
- Estimated time: 5-10 minutes
- Skill level: Beginner
Variables to Fill
No inputs required — just copy and use the prompt.
Example Variables Block
No example values needed for this prompt.
The Prompt
Enhance the existing data table implementation by adding three additional columns with specific data fields and implementing server-side pagination.
### Requirements:
– Add the following columns:
– Customer Name: Derived from the `user_id` field.
– IP Address: Sourced from the `ip_address` field.
– Last Date Search: Sourced from `last_requested_at`.
– Maintain the existing unique request count functionality without modifications.
### Implementation:
1. Retrieve and map the relevant data fields:
– `user_id` → Customer Name
– `ip_address` → IP Address
– `last_requested_at` → Last Date Search
2. Update the datatable configuration to include these new columns.
3. Ensure server-side pagination continues to function correctly with the new columns.
4. Place all JavaScript code changes inside `domain-checker.js`.
5. Verify that the unique request count remains accurate and unchanged.
### Output Format:
Provide the complete updated JavaScript code for `domain-checker.js` that meets the above requirements. Ensure the code is fully commented and formatted for clarity.
Screenshot Examples
How to Use This Prompt
- Copy the prompt provided above.
- Paste the prompt into your coding environment.
- Follow the implementation steps outlined in the prompt.
- Ensure to maintain existing functionalities as specified.
- Test the updated code for accuracy and performance.
- Review and format the code for clarity before finalizing.
Tips for Best Results
- Data Mapping: Ensure you correctly map `user_id` to Customer Name, `ip_address` to IP Address, and `last_requested_at` to Last Date Search.
- Update Configuration: Modify the datatable configuration to add the new columns while keeping the unique request count intact.
- Server-Side Pagination: Confirm that server-side pagination works seamlessly with the newly added columns.
- Code Organization: Place all changes in `domain-checker.js` and ensure the code is well-commented for future reference.
FAQ
- What new columns are being added to the data table?
Customer Name, IP Address, and Last Date Search are the new columns. - How is the Customer Name derived?
The Customer Name is derived from the user_id field. - What functionality must remain unchanged?
The unique request count functionality must remain accurate and unchanged. - Where should JavaScript code changes be placed?
All JavaScript code changes should be placed inside domain-checker.js.
Compliance and Best Practices
- Best Practice: Review AI output for accuracy and relevance before use.
- Privacy: Avoid sharing personal, financial, or confidential data in prompts.
- Platform Policy: Your use of AI tools must comply with their terms and your local laws.
Revision History
- Version 1.0 (February 2026): Initial release.
