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{"id":4226,"date":"2020-07-16T03:09:08","date_gmt":"2020-07-16T03:09:08","guid":{"rendered":"http:\/\/minervadb.com\/?page_id=4226"},"modified":"2020-07-16T10:58:16","modified_gmt":"2020-07-16T10:58:16","slug":"proxysql-query-cache","status":"publish","type":"page","link":"https:\/\/minervadb.com\/index.php\/proxysql-query-cache\/","title":{"rendered":"ProxySQL Query Cache"},"content":{"rendered":"

ProxySQL Query Cache – How it works ?\u00a0<\/span><\/h1>\n
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In this blog post we have explained about ProxySQL query cache and how it creates value for MySQL query performance. Before we get deep in to ProxySQL query cache, Let us explain how MySQL implemented query cache for performance, The MySQL query cache (deprecated as of MySQL 5.7.20 and removed in MySQL 8.0<\/em> ) caches the text of a SELECT statement with corresponding results which was sent to the client. In the future when identical SELECT statement is received, \u00a0MySQL server retrieves the results from query cache rather than parsing and executing the statement again. Technically, MySQL query cache is a query results cache. It compare every incoming queries that start with SEL<\/strong> to a hash table, and if there is a match the results are returned directly from the query cache. A classic use case for a MySQL query cache is SELECT queries on e-commerce site with millions of articles in the inventory with complex listing rules for optimal SORT\/SEARCH operations. But, MySQL 8.0 retired query cache due to following limitations:<\/p>\n