Determining the Number of Records Suppressed by LIMIT (SQL_CALC_FOUND_ROWS, FOUND_ROWS) : Limits « Select Clause « SQL / MySQL






  1. SQL / MySQL
  2. Select Clause
  3. Limits

Determining the Number of Records Suppressed by LIMIT (SQL_CALC_FOUND_ROWS, FOUND_ROWS)

      
mysql>
mysql> CREATE TABLE employee (
    ->     id int unsigned not null auto_increment primary key,
    ->     firstname varchar(20),
    ->     lastname varchar(20),
    ->     title varchar(30),
    ->     age int,
    ->     yearofservice int,
    ->     salary int,
    ->     perks int,
    ->     email varchar(60)
    -> );
Query OK, 0 rows affected (0.00 sec)

mysql>
mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("John", "Chen
", "Senior Programmer", 31, 3, 120000, 25000, "j@hotmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Jan", "Pilla
i", "Senior Programmer", 32, 4, 110000, 20000, "g@yahoo.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Ane", "Pandi
t", "Web Designer", 24, 3, 90000, 15000, "a@gmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Mary", "Anch
or", "Web Designer", 27, 2, 85000, 15000, "m@mail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Fred", "King
", "Programmer", 32, 3, 75000, 15000, "f@net.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("John", "Mac"
, "Programmer", 32, 4, 80000, 16000, "j@hotmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Arthur", "Sa
m", "Programmer", 28, 2, 75000, 14000, "e@yahoo.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Alok", "Nand
a", "Programmer", 32, 3, 70000, 10000, "a@yahoo.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Susan", "Ra"
, "Multimedia Programmer", 32, 4, 90000, 15000, "h@gmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Paul", "Simo
n", "Multimedia Programmer", 23, 1, 85000, 12000, "ps@gmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Edward", "Pa
rhar", "Multimedia Programmer", 30, 2, 75000, 15000, "a@hotmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Kim", "Hunte
r", "Senior Web Designer", 32, 4, 110000, 20000, "kim@coolmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Roger", "Lew
is", "System Administrator", 32, 3, 100000, 13000, "roger@mail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Danny", "Gib
son", "System Administrator", 31, 2, 90000, 12000, "danny@hotmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Mike", "Harp
er", "Senior Marketing Executive", 36, 1, 120000, 28000, "m@gmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Mary", "Sund
ay", "Marketing Executive", 31, 5, 90000, 25000, "monica@bigmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Jack", "Sim"
, "Marketing Executive", 27, 1, 70000, 18000, "hal@gmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Joe", "Irvin
e", "Marketing Executive", 27, 1, 72000, 18000, "joseph@hotmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Henry", "Ali
", "Customer Service Manager", 32, 3, 70000, 9000, "shahida@hotmail.com");
Query OK, 1 row affected (0.00 sec)

mysql> INSERT INTO employee (firstname, lastName, title, age, yearofservice, salary, perks, email) values ("Peter", "Cha
mpion", "Finance Manager", 32, 2, 120000, 25000, "peter@yahoo.com");
Query OK, 1 row affected (0.00 sec)

mysql>
mysql>
mysql> SELECT SQL_CALC_FOUND_ROWS firstname FROM employee ORDER BY title LIMIT 3;
+-----------+
| firstname |
+-----------+
| Henry     |
| Peter     |
| Joe       |
+-----------+
3 rows in set (0.00 sec)

mysql>
mysql> SELECT FOUND_ROWS();
+--------------+
| FOUND_ROWS() |
+--------------+
|           20 |
+--------------+
1 row in set (0.00 sec)

mysql>
mysql>
mysql> drop TABLE employee;
Query OK, 0 rows affected (0.00 sec)

mysql>








Related examples in the same category

1.Limit the query results: Get 3 Most Expensive Products
2.Use LIMIT in SELECT
3.Use LIMIT
4.Another ORDER BY and limit
5.Simple LIMIT
6.Retrieving the Top Five Students
7.ORDER and limit
8.Limits and order
9.Scrolling through the entire product table four records at a time
10.Limiting a Selection Using LIMIT
11.Use ORDER BY to sort the result set. Then you can use LIMIT to find smallest and largest values.
12.Order the rows with the largest SUM( ) values first and use LIMIT to select the first record
13.A DELETE statement can be qualified by using an ORDER BY and a LIMIT clause
14.The LIMIT clause takes two arguments, as the following syntax shows: LIMIT [,]
15.SELECT statement includes a LIMIT clause that specifies an offset value of 3 and a row count value of 4
16.WHERE clause can include additional logical operators and expressions that further limit the results returned
17.Limit to first three columns
18.LIMIT 5 OFFSET 3
19.Delete with order by and limit clause
20.Pulling a Section from the Middle of a Result Set
21.Tell MySQL what offset to use, from which result to start limiting.
22.The default offset is 0, so by specifying an offset of 1, you're taking the second record.
23.Selecting Records from the Beginning or End of a Result Set
24.Processing the First or Last n Records
25.Limiting the Number of Results
26.But LIMIT allows you to return only that record