![]() ![]() On the right pane, choose Export from the top menu.On the left menu, click your database name.Please follow these steps to export the schema structure using phpMyAdmin: PhpMyAdmin is a free software tool written in PHP, intended to handle the administration of MySQL over the Web. ![]() Get free credits for automatic SQL optimization > Export schema structure using phpMyAdmin Once you executed the command and exported the schema structure, you're all ready to upload it to EverSQL Query Optimizer. This information is used by the indexing algorithm of EverSQL Query Optimizer to provide the optimal indexing recommendations. Note: performing the steps above will also exports extra meta data to the file (i.e, table sizes and cardinality information). "path/to/dump/file" - The path to export the schema structure to."schema_name" - The name of your schema."Password" - the MySQL user's password."root" - should be replaced with a MySQL user with permissions to dump the schema structure."localhost" - should be replaced with your MySQL server name.Please make sure to change the following parameters to adjust the command to your environment: Mysqldump -xml -no-data -lock-tables=false -h localhost -u root -pPassword schema_name > path/to/dump/file The utility is provided as part of the MySQL Server package.įor InnoDB engine users, the following command can be used to export the schema structure using mysqldump: Mysqldump is a database backup command line utility created by Oracle. The reason for this recommendation is because mysqldump's XML structure dump is the only format that includes extra data (such as tables size, indexes cardinality and more) which can be used to provide better indexing and query optimization recommendations. We strongly recommend that you'll provide EverSQL Query Optimizer with a schema structure exported using mysqldump, to an XML format. Therefore, when optimizing with EverSQL, we don't only ask for the query to optimize, but also require the schema structure, to provide you with the best query optimization and indexing recommendations. Among those factors are the query structure, table sizes, existing indexes and their cardinality, column types and sizes, the connections between the tables and columns in the query and many other factors. ![]() If you're currently investing all of your efforts in query optimization, you should know that there are more aspects to think about.ĮverSQL Query Optimizer's algorithm takes many factors into consideration to calculate the best indexes for your query. Get free credits for automatic SQL optimization > The importance of databases indexesĬreating the right indexes for your database, is the foundation for optimal database and SQL query performance. ❌ Goodbye to not having any real control of your database performance. ![]() ❌ Goodbye to manually searching for slow queries in textual log files. ❌ Goodbye to rewriting super-long queries manually. ❌ Goodbye to long hours of searching for the optimal SQL indexes. you can now use an automatic SQL Optimizer and say goodby to:
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