Cache data in acelle mail
Acelle Mail is a self-hosted, open-source email client that allows you to manage your email accounts and data on your own server. To cache data in Acelle Mail, you can use the following methods:
- Database Caching: Acelle Mail uses a database to store email data. You can enable database caching to improve performance by storing frequently accessed data in memory. This can be done by configuring the database caching settings in the
config.php
file. - Redis Caching: Acelle Mail supports Redis caching, which can be used to store frequently accessed data in memory. To enable Redis caching, you need to install and configure Redis on your server, and then update the
config.php
file to point to the Redis instance. - File System Caching: Acelle Mail also supports file system caching, which can be used to store cached data in a file system directory. This method is useful when you don't have a Redis instance set up.
To enable caching in Acelle Mail, follow these steps:
Method 1: Database Caching
- Open the
config.php
file in a text editor. - Search for the
database_caching
setting and set it totrue
. - Adjust the
database_caching_ttl
setting to specify the time-to-live (TTL) for cached data in seconds. - Save the changes to the
config.php
file.
Method 2: Redis Caching
- Install and configure Redis on your server.
- Open the
config.php
file in a text editor. - Search for the
redis_caching
setting and set it totrue
. - Update the
redis_host
,redis_port
, andredis_password
settings to point to your Redis instance. - Save the changes to the
config.php
file.
Method 3: File System Caching
- Create a new directory to store cached data, for example,
cache
. - Open the
config.php
file in a text editor. - Search for the
file_system_caching
setting and set it totrue
. - Update the
file_system_caching_dir
setting to point to the directory you created. - Save the changes to the
config.php
file.
After enabling caching, Acelle Mail will store frequently accessed data in the specified cache location. This can improve performance by reducing the number of database queries and improving response times.