Defining MYSQL order of execution
In MySQL, the order of execution of a SQL query is crucial to understand how the database processes your request. The general order of execution for a MySQL query is as follows:
FROM clause: The database first processes the tables listed in the
FROMclause. If your query involves multiple tables, it performs any necessary joins at this stage.WHERE clause: After the database has determined the result set from the
FROMclause (considering any joins and conditions), it filters the rows based on the conditions specified in theWHEREclause. Rows that do not meet the criteria are eliminated from the result set.GROUP BY clause: If your query includes a
GROUP BYclause, the result set is then grouped based on the specified columns. Rows with the same values in the specified columns are grouped together.HAVING clause: After the grouping is done, the
HAVINGclause filters the grouped rows. It is similar to theWHEREclause but operates on the grouped rows rather than individual rows. Rows that do not meet theHAVINGcriteria are eliminated from the result set.SELECT clause: After the filtering and grouping, the database evaluates the expressions in the
SELECTclause to produce the final result set. This can involve computations, column aliases, and other operations specified in theSELECTclause.ORDER BY clause: If your query has an
ORDER BYclause, the final result set is then sorted based on the specified columns and sorting order.LIMIT and OFFSET clauses: Finally, if your query includes
LIMITandOFFSETclauses, the database limits the number of rows returned by the query and offsets the starting point for the result set, respectively.
It's
important to note that not all queries include all these clauses. The
order of execution might change if your query doesn't contain certain
clauses (for example, a query without a GROUP BY clause
won't involve the grouping stage). Understanding this order of execution
is essential for optimizing queries and getting the desired results
from the database.
Examples
Let's consider a more complex example that involves all the major clauses in a MySQL query: SELECT, FROM, JOIN, WHERE, GROUP BY, HAVING, ORDER BY, LIMIT, and OFFSET.
Example Tables:
Consider two tables, employees and departments:
employees table:
| id | name | department_id | salary |
|---|---|---|---|
| 1 | Alice | 1 | 50000 |
| 2 | Bob | 2 | 60000 |
| 3 | Charlie | 1 | 55000 |
| 4 | David | 3 | 62000 |
| 5 | Eve | 2 | 58000 |
departments table:
| id | name |
|---|---|
| 1 | HR |
| 2 | IT |
| 3 | Sales |
Example Query:
Let's say we want to find the average salary of employees in the IT department, ordered by department name, and we want to retrieve only the first two rows.
SELECT d.name as
department_name, AVG(e.salary) as average_salary FROM employees e JOIN
departments d ON e.department_id = d.id WHERE d.name ='IT'GROUPBY d.name
HAVINGAVG(e.salary) >55000ORDERBY d.name LIMIT 2OFFSET0; Order of Execution:
FROM clause: The database starts by considering the
employeesanddepartmentstables, then performs an inner join based on thedepartment_idandidcolumns.e.id e.name e.department_id e.salary d.id d.name 2 Bob 2 60000 2 IT 5 Eve 2 58000 2 IT WHERE clause: Rows where the department name is not 'IT' are eliminated:
e.id e.name e.department_id e.salary d.id d.name 2 Bob 2 60000 2 IT 5 Eve 2 58000 2 IT GROUP BY clause: The result set is grouped by the
d.namecolumn, which is 'IT' in this case:department_name average_salary IT 59000 HAVING clause: The groups with an average salary less than or equal to 55000 are eliminated (there's only one group in this case, so no rows are eliminated).
SELECT clause: The
SELECTclause computes the average salary for the 'IT' department:department_name average_salary IT 59000 ORDER BY clause: The result set is ordered by
department_namein ascending order (it's only one row, so no reordering occurs).LIMIT and OFFSET clauses: Finally, the query limits the result set to 2 rows starting from offset 0, but since there's only one row in the result set, only that row is returned as the final output.
So, the final output of the query would be:
| department_name | average_salary |
|---|---|
| IT | 59000 |
This example demonstrates how each clause in the MySQL query is executed in sequence to produce the desired result.
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