Libraries tagged by cached data

An adapter decorator to enable meta-data caching.

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An adapter decorator to enable meta-data caching.

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An adapter decorator to enable meta-data caching.

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An adapter decorator to enable meta-data caching.

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An adapter decorator to enable meta-data caching.

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Fork of an adapter decorator to enable meta-data caching.

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You can clear all cached data in single command (all-clear).

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A simple versatile and easy-to-use PHP class designed for managing caching in WordPress environments.

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Dead simple wrapper class for APC and APCu which capable of setting and getting cached data in one line.

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A lightweight package to invalidate cache entries automatically when the cached data changed.

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Provide cached collection-based data in laravel

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Allows to capture the entire response with a middleware, and while caching it observer the checksum of the database tables used to create the response, if any related table has a modified checksum, it refreshes the response. This makes it serve live data, but then cached as long as it is not modified. Huge reduction of resource consumption and keep data live.

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This package provides a cache store implementation for Laravel that uses a CouchDB database to store cached items. It supports both the default and tagged cache functionality of Laravel.

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Store general settings like website name, logo url, contacts in the database easily. Everything is cached, so no extra query is done

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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.

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