Question

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:

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 Subqueries (query line: 9): We advise against using subqueries as they are not optimized well by the optimizer. Therefore, it's recommended to join a newly created temporary table that holds the data, which also includes the relevant search index.
Avoid Subqueries (query line: 21): We advise against using subqueries as they are not optimized well by the optimizer. Therefore, it's recommended to join a newly created temporary table that holds the data, which also includes the relevant search index.
Avoid Subqueries (query line: 34): We advise against using subqueries as they are not optimized well by the optimizer. Therefore, it's recommended to join a newly created temporary table that holds the data, which also includes the relevant search index.
Avoid Subqueries (query line: 40): We advise against using subqueries as they are not optimized well by the optimizer. Therefore, it's recommended to join a newly created temporary table that holds the data, which also includes the relevant search index.
Avoid Subqueries (query line: 46): We advise against using subqueries as they are not optimized well by the optimizer. Therefore, it's recommended to join a newly created temporary table that holds the data, which also includes the relevant search index.
Avoid Subqueries (query line: 53): We advise against using subqueries as they are not optimized well by the optimizer. Therefore, it's recommended to join a newly created temporary table that holds the data, which also includes the relevant search index.
Avoid Subqueries (query line: 59): We advise against using subqueries as they are not optimized well by the optimizer. Therefore, it's recommended to join a newly created temporary table that holds the data, which also includes the relevant search index.
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.

Optimal indexes for this query:

ALTER TABLE `LD_LOANS_AND_DEPOSITS` ADD INDEX `ld_and_idx_report_date` (`REPORT_DATE`);

The optimized query:

SELECT
        'Active Borrowers per Loan Officer' AS PERFORMANCE_RATIOS,
        (SELECT
            count(DISTINCT L.CUSTOMER_ID) / COUNT(DISTINCT L.MIS_ACCT_OFFICER) AS RATIO 
        FROM
            LD_LOANS_AND_DEPOSITS L 
        WHERE
            L.REPORT_DATE = (
                SELECT
                    MIN(LD_LOANS_AND_DEPOSITS.REPORT_DATE) 
                FROM
                    LD_LOANS_AND_DEPOSITS
            )
        ) AS RATIO1, (
            SELECT
                count(DISTINCT L.CUSTOMER_ID) / COUNT(DISTINCT L.MIS_ACCT_OFFICER) AS RATIO 
            FROM
                LD_LOANS_AND_DEPOSITS L 
            WHERE
                L.REPORT_DATE = (
                    SELECT
                        MAX(LD_LOANS_AND_DEPOSITS.REPORT_DATE) 
                    FROM
                        LD_LOANS_AND_DEPOSITS
                )
            ) AS RATIO2, (
                (
                    SELECT
                        count(DISTINCT L.CUSTOMER_ID) / COUNT(DISTINCT L.MIS_ACCT_OFFICER) AS RATIO 
                    FROM
                        LD_LOANS_AND_DEPOSITS L 
                    WHERE
                        L.REPORT_DATE = (
                            SELECT
                                MAX(LD_LOANS_AND_DEPOSITS.REPORT_DATE) 
                            FROM
                                LD_LOANS_AND_DEPOSITS
                        )
                    ) - (
                        SELECT
                            count(DISTINCT L.CUSTOMER_ID) / COUNT(DISTINCT L.MIS_ACCT_OFFICER) AS RATIO 
                        FROM
                            LD_LOANS_AND_DEPOSITS L 
                        WHERE
                            L.REPORT_DATE = (
                                SELECT
                                    MIN(LD_LOANS_AND_DEPOSITS.REPORT_DATE) 
                                FROM
                                    LD_LOANS_AND_DEPOSITS
                            )
                        )
                ) / (
                    SELECT
                        count(DISTINCT L.CUSTOMER_ID) / COUNT(DISTINCT L.MIS_ACCT_OFFICER) AS RATIO 
                    FROM
                        LD_LOANS_AND_DEPOSITS L 
                    WHERE
                        L.REPORT_DATE = (
                            SELECT
                                MIN(LD_LOANS_AND_DEPOSITS.REPORT_DATE) 
                            FROM
                                LD_LOANS_AND_DEPOSITS
                        )
                    ) * 100 AS CHANGE, (
                        SELECT
                            MIN(LD_LOANS_AND_DEPOSITS.REPORT_DATE) 
                        FROM
                            LD_LOANS_AND_DEPOSITS
                    ) AS REPORT_DATE1, (
                        SELECT
                            MAX(LD_LOANS_AND_DEPOSITS.REPORT_DATE) 
                        FROM
                            LD_LOANS_AND_DEPOSITS
                    ) AS REPORT_DATE2

How to optimize this SQL query?

The optimization process and recommendations:

Optimal indexes for this query:

The optimized query:

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