datatables-flask-serverside | Server-side DataTable with Flask | Plugin library
kandi X-RAY | datatables-flask-serverside Summary
kandi X-RAY | datatables-flask-serverside Summary
Server-side DataTable with Flask
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Top functions reviewed by kandi - BETA
- Run filtering
- Custom paging
- Custom filter
- Custom sorting method
- Collect the server side table
- Output the results
datatables-flask-serverside Key Features
datatables-flask-serverside Examples and Code Snippets
Community Discussions
Trending Discussions on datatables-flask-serverside
QUESTION
I'm struggling with this for several days. I'm trying to implement Sergio Llanna's server-side solution to my existing project.
Sergio's DataTables server-side processing
and this is my implementation:
My DataTables server-side processing
The difference is, that my solution grabs the data from MySQL database instead of local file. I think that I'm pretty close to make it work, data from database are displayed in the table correctly. When I turn off serverSide option, sorting and searching is working fine, but when I turn it on, everytime I click on the column, search or anything else I get just "Processing..." Flask debug mode is on. There is no error in the browser's development tools or flask development server.
My JSON XHR (response):
...ANSWER
Answered 2018-Sep-10 at 10:45It was a bit unclear to me what you exactly changed compared to the original files, so I went ahead and tried adding SQLAlchemy support to Sergio's original project.
__init__.py
changes:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install datatables-flask-serverside
You can use datatables-flask-serverside like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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