Add results from several COUNT queries in MySQL?

To add results from several COUNT queries, you can use the following syntax −

SELECT (SELECT COUNT(*) FROM yourTableName1)+
(SELECT COUNT(*) FROM yourTableName2)+
(SELECT COUNT(*) FROM yourTableName3)+
.
.
.
N AS anyAliasName;

Let us use three tables in the test database −

• users
• sortingstringdemo
• userlogintable

Check the table records from the table using a select statement. Let’s take 3 sample tables with records.

The table records for the first table is as follows −

mysql> select *from users;

The following is the output −

+----+----------+---------------------+
| Id | UserName | UserLastseen        |
+----+----------+---------------------+
|  1 | Larry    | 2019-01-15 02:45:00 |
|  2 | Sam      | 2019-01-15 15:01:52 |
|  3 | Mike     | 2019-01-15 02:30:00 |
|  4 | Bob      | 2019-01-15 15:02:00 |
|  5 | David    | 2019-01-15 14:55:00 |
+----+----------+---------------------+
5 rows in set (0.08 sec)

Second table records are as follows −

mysql> select *from sortingstringdemo;

The following is the output −

+--------+
| Amount |
+--------+
| 12.34  |
| 124.50 |
| 9.59   |
| 150.68 |
| 600.54 |
+--------+
5 rows in set (0.06 sec)

Third table records are as follows −

mysql> select *from userlogintable;

The following is the output −

+----+--------+---------------------+
| Id | UserId | UserLoginDateTime   |
+----+--------+---------------------+
|  1 |      2 | 2019-01-27 13:47:20 |
|  3 |      2 | 2019-01-26 11:30:30 |
|  4 |      1 | 2015-03-11 15:23:55 |
+----+--------+---------------------+
3 rows in set (0.18 sec)

Apply the syntax discussed above to add results from several COUNT queries.

In the below query, I have applied the above three table names −

mysql> select (select count(*) from users)
   -> +(select count(*) from sortingstringdemo)
   -> +(select count(*) from userlogintable) as TotalRecords;

The following is the output displaying the count of records from all the three tables −

+--------------+
| TotalRecords |
+--------------+
|           13 |
+--------------+
1 row in set (0.00 sec)