Libraries tagged by caching-strategy
laminas/laminas-cache
5218644 Downloads
Caching implementation with a variety of storage options, as well as codified caching strategies for callbacks, classes, and output
zendframework/zend-cache
10972310 Downloads
Caching implementation with a variety of storage options, as well as codified caching strategies for callbacks, classes, and output
jerome/filterable
6197 Downloads
Streamline dynamic Eloquent query filtering with seamless API request integration and advanced caching strategies.
krazydanny/laravel-repository
486 Downloads
An abstraction layer for easily implementing industry-standard caching strategies to Eloquent models.
hamburgscleanest/guzzle-advanced-throttle
33441 Downloads
A Guzzle middleware that can throttle requests according to (multiple) defined rules. It is also possible to define a caching strategy, e.g. get response from cache when rate limit is exceeded or always get cached value to spare your rate limits.
eleving/zend-cache
13173 Downloads
Caching implementation with a variety of storage options, as well as codified caching strategies for callbacks, classes, and output
humanmade/hm-swr-cache
0 Downloads
WordPress stale-while-revalidate cache plugin
timurturdyev/laminas-cache
7 Downloads
Caching implementation with a variety of storage options, as well as codified caching strategies for callbacks, classes, and output
code-corner/performance-cache
6 Downloads
A caching library for PHP performance optimization supporting multiple caching strategies.
coco-project/sql-cache
20 Downloads
Based on the lexical analysis of "update," "select," "insert," and "delete" SQL statements, an automatic caching strategy is implemented. The strategy involves caching the data when executing a select operation and associating the table name contained in the SQL statement with the corresponding cached records. When executing update, insert, or delete operations, the table name from the SQL statement is extracted, and any cached records containing this table name from previous select operations are deleted. This strategy enables seamless caching without delay and eliminates the need to worry about data synchronization issues. It is particularly effective for tables with infrequent data modifications. For tables with frequent modifications, they can be ignored by configuring the strategy accordingly.