mysqlquery-optimizationtimingestimationtime-estimation

How to estimate SQL query timing?


I'm trying to get an rough (order-of-magnitude) estimate of how long time the following query could take:

mysql> EXPLAIN SELECT t1.col1, t1_col4 FROM t1 LEFT JOIN t2 ON t1.col1=t2.col1 WHERE col2=0 AND col3 IS NULL;
+----+-------------+--------------------+------+---------------+------------+---------+-----------------------------+---------+--------------------------+
| id | select_type | table              | type | possible_keys | key        | key_len | ref                         | rows    | Extra                    |
+----+-------------+--------------------+------+---------------+------------+---------+-----------------------------+---------+--------------------------+
|  1 | SIMPLE      | t1                 | ref  | foobar        | foobar     | 4       | const                       | 9715129 |                          | 
|  1 | SIMPLE      | t2                 | ref  | col1          | col1       | 4       | db2.t1.col1                 |   42318 | Using where; Using index | 
+----+-------------+--------------------+------+---------------+------------+---------+-----------------------------+---------+--------------------------+
2 rows in set (0.00 sec)

mysql> 

Solution

  • This can be done when using SHOW PROFILES syntax. When you open a MySQL session, you could set the variable "profiling" to 1 or ON.

    mysql> SET profiling = 1;
    

    So all the statements sent to the server will be profiled and stored in a historical and shown later by typing the command:

    mysql> SHOW PROFILES;
    

    See, from MySQL manual:

    mysql> SET profiling = 1;
    Query OK, 0 rows affected (0.00 sec)
    
    mysql> DROP TABLE IF EXISTS t1;
    Query OK, 0 rows affected, 1 warning (0.00 sec)
    
    mysql> CREATE TABLE T1 (id INT);
    Query OK, 0 rows affected (0.01 sec)
    
    mysql> SHOW PROFILES;
    +----------+----------+--------------------------+
    | Query_ID | Duration | Query                    |
    +----------+----------+--------------------------+
    |        0 | 0.000088 | SET PROFILING = 1        |
    |        1 | 0.000136 | DROP TABLE IF EXISTS t1  |
    |        2 | 0.011947 | CREATE TABLE t1 (id INT) |
    +----------+----------+--------------------------+
    3 rows in set (0.00 sec)
    
    mysql> SHOW PROFILE;
    +----------------------+----------+
    | Status               | Duration |
    +----------------------+----------+
    | checking permissions | 0.000040 |
    | creating table       | 0.000056 |
    | After create         | 0.011363 |
    | query end            | 0.000375 |
    | freeing items        | 0.000089 |
    | logging slow query   | 0.000019 |
    | cleaning up          | 0.000005 |
    +----------------------+----------+
    7 rows in set (0.00 sec)
    
    mysql> SHOW PROFILE FOR QUERY 1;
    +--------------------+----------+
    | Status             | Duration |
    +--------------------+----------+
    | query end          | 0.000107 |
    | freeing items      | 0.000008 |
    | logging slow query | 0.000015 |
    | cleaning up        | 0.000006 |
    +--------------------+----------+
    4 rows in set (0.00 sec)
    
    mysql> SHOW PROFILE CPU FOR QUERY 2;
    +----------------------+----------+----------+------------+
    | Status               | Duration | CPU_user | CPU_system |
    +----------------------+----------+----------+------------+
    | checking permissions | 0.000040 | 0.000038 |   0.000002 |
    | creating table       | 0.000056 | 0.000028 |   0.000028 |
    | After create         | 0.011363 | 0.000217 |   0.001571 |
    | query end            | 0.000375 | 0.000013 |   0.000028 |
    | freeing items        | 0.000089 | 0.000010 |   0.000014 |
    | logging slow query   | 0.000019 | 0.000009 |   0.000010 |
    | cleaning up          | 0.000005 | 0.000003 |   0.000002 |
    +----------------------+----------+----------+------------+
    


    References (updated at: 2014-09-04):
    - SHOW PROFILE Syntax
    - The INFORMATION_SCHEMA PROFILING Table
    - How To Use MySQL Query Profiling (The Digital Ocean recently published a great article concerning this issue.)