[Solved] SQL Exclude results from join or subquery where column names don\'t match up with multiple tables

How to optimize this SQL query?

In case you have your own slow SQL query, you can optimize it automatically here.

For the query above, the following recommendations will be helpful as part of the SQL tuning process.
You'll find 3 sections below:

  1. Description of the steps you can take to speed up the query.
  2. The optimal indexes for this query, which you can copy and create in your database.
  3. An automatically re-written query you can copy and execute in your database.
The optimization process and recommendations:
  1. 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.
  2. Prefer Inner Join Over Left Join (modified query below): We identified that one or more left joined entities (e.g. `Groups`) are used in the 'where' clause, in a way that allows to replace it with an optimized inner join. Inner joins can be fully optimized by the database, while Left joins apply limitations on the database's optimizer.
  3. Prefer Inner Join Over Left Join (modified query below): We identified that one or more left joined entities (e.g. `GroupValue`) are used in the 'where' clause, in a way that allows to replace it with an optimized inner join. Inner joins can be fully optimized by the database, while Left joins apply limitations on the database's optimizer.
  4. Use Numeric Column Types For Numeric Values (query line: 16): Referencing a numeric value (e.g. 25) as a string in a WHERE clause might result in poor performance. Possible impacts of storing numbers as varchars: more space will be used, you won't be able to perform arithmetic operations, the data won't be self-validated, aggregation functions like SUM won't work, the output may sort incorrectly and more. If the column is numeric, remove the quotes from the constant value, to make sure a numeric comparison is done.
Optimal indexes for this query:
ALTER TABLE `ClientGroup` ADD INDEX `clientgroup_idx_groupcode` (`GroupCode`);
ALTER TABLE `Clients` ADD INDEX `clients_idx_clientkey` (`ClientKey`);
ALTER TABLE `GroupValue` ADD INDEX `groupvalue_idx_groupvalue_groupcode` (`GroupValue`,`GroupCode`);
ALTER TABLE `Groups` ADD INDEX `groups_idx_groupcodekey` (`GroupCodeKey`);
The optimized query:
SELECT
        cli.ClientNo AS clientno,
        cli.ClientName AS clientname 
    FROM
        Clients AS cli 
    LEFT JOIN
        ClientGroup AS cg 
            ON cg.ClientKey = cli.ClientKey 
    INNER JOIN
        Groups AS gc 
            ON gc.GroupCode = cg.GroupCode 
    INNER JOIN
        GroupValue AS gv 
            ON gv.GroupCode = gc.GroupCode 
    WHERE
        gc.GroupCodeKey = '25' 
        AND gv.GroupValue = 'EXCLUDE'

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* original question posted on StackOverflow here.