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Slowness Associated with Base64 Image Selection and Encoding from Database
In the context of an Ionic framework application, where users can post text and images, concerns arise regarding the slow performance experienced when retrieving and displaying images stored as base64 in a database. The encoding and decoding processes introduce overhead and increase file size, leading to performance issues.
Alternative Approaches
Instead of storing base64-encoded images in the database, experts recommend using a file upload plugin for secure file handling. However, this approach can be complex and risks file corruption.
Another option is to avoid base64 encoding altogether and save images directly in the file system, with the file path stored in the database. This method offers faster performance and reduces file size.
Caching Considerations
Cached files can significantly improve performance. By storing images in the file system, they can be cached by the server, reducing the need for repeated data retrieval from the database.
Scalability Concerns
As the user base grows, the number of files and subfolders in the file system will increase. To address this, consider using a Content Delivery Network (CDN) or a file system like BTRFS that is optimized for large-scale operations.
Database Capabilities
Databases remain valuable for managing file metadata and session management. By maintaining file information in the database and storing the actual files separately, you can leverage the strengths of both systems.
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