For the query above, the following recommendations will be helpful as part of the SQL tuning process. You'll find 3 sections below:
Description of the steps you can take to speed up the query.
The optimal indexes for this query, which you can copy and create in your database.
An automatically re-written query you can copy and execute in your database.
The optimization process and recommendations:
Avoid Selecting Unnecessary Columns (query line: 2): Avoid selecting all columns with the '*' wildcard, unless you intend to use them all. Selecting redundant columns may result in unnecessary performance degradation.
Create Optimal Indexes (modified query below): The recommended indexes are an integral part of this optimization effort and should be created before testing the execution duration of the optimized query.
Use Equality Operator Over LIKE (modified query below): Equality operators (such as '\u003d') are usually better optimized and more readable. Prefer the equality operator when searching for a constant value such as `Anesthesiology`.
Optimal indexes for this query:
ALTER TABLE `specialization` ADD INDEX `specialization_idx_name` (`name`);
The optimized query:
specialization.name = 'Anesthesiology'