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Currently, ProxySQL lacks support for query caching for PostgreSQL, a feature that could greatly enhance performance for frequently executed read queries. MySQL has query cache support in ProxySQL, but this functionality is not yet extended to PostgreSQL connections.
Expected Feature:
Introduce query cache support for PostgreSQL within ProxySQL, configurable via query rules, similar to the existing support for MySQL.
Cache SELECT queries according to user-defined query rules, allowing selective caching of frequently executed queries based on specific patterns or conditions.
Provide configurable options for cache size, TTL (Time-To-Live), and invalidation policies.
Benefits:
Enhanced Performance: Caching the results of frequent SELECT queries can significantly reduce the load on the PostgreSQL backend, leading to faster response times.
Flexible Control: Using query rules allows database administrators to control which queries are cached, optimizing the cache for the most impactful use cases.
Resource Efficiency: Reduces CPU and disk I/O overhead by serving cached results for repeated queries, optimizing resource usage on the PostgreSQL server.
Configuration Options:
Query Rules for Caching: Query rules can define which queries are cached based on patterns, query types, or other conditions.
Cache Size: Configure memory allocation for query caching.
TTL (Time-To-Live): Define how long cached query results should persist before expiration.
The text was updated successfully, but these errors were encountered:
Issue Description:
Currently, ProxySQL lacks support for query caching for PostgreSQL, a feature that could greatly enhance performance for frequently executed read queries. MySQL has query cache support in ProxySQL, but this functionality is not yet extended to PostgreSQL connections.
Expected Feature:
SELECT
queries according to user-defined query rules, allowing selective caching of frequently executed queries based on specific patterns or conditions.Benefits:
SELECT
queries can significantly reduce the load on the PostgreSQL backend, leading to faster response times.Configuration Options:
The text was updated successfully, but these errors were encountered: