What are the cache types in Magento 2?

What are the cache types in Magento 2?

Magento 2 has the following cache types: Magento collects configuration from all modules, merges it, and saves the merged result to the cache. This cache also contains store-specific settings stored in the file system and database. Clean or flush this cache type after modifying configuration files.

What does Magento do with the configuration files?

Magento collects configuration from all modules, merges it, and saves the merged result to the cache. This cache also contains store-specific settings stored in the file system and database. Clean or flush this cache type after modifying configuration files. Compiled page layouts (that is, the layout components from all components).

How to cache custom EAV attributes in Magento?

Developers can cache custom EAV attributes by running the bin/magento config:set dev/caching/cache_user_defined_attributes 1 command. This can also be done from the Admin while in Developer mode by setting Stores > Settings Configuration > Advanced > Developer > Caching Settings > Cache User Defined Attributes to Yes.

How does Magento page caching work in PHP?

Retrieving stored ( cached) content from a previous request for the same client instead of requesting files from your server every time someone visits your site is a more efficient use of network bandwidth. The Magento page cache library contains a simple PHP reverse proxy that enables full page caching out of the box.

How to update the database schema in Magento?

One way to update the database schema automatically is using the magento setup:db-schema:upgrade command. Metadata related to EAV attributes (for example, store labels, links to related PHP code, attribute rendering, search settings, and so on). You should not typically need to clean or flush this cache type.

What does сache mean in terms of Magento?

Basically, сache is a system location, in which frequently accessed data gets stored. By default, Magento uses multiple queries to get data from the database tables. It means that a bigger amount of time is spent on the results compiling process.