Home >Database >Mysql Tutorial >How to limit the number of queries in mysql
In mysql, you can use the "LIMIT" clause to limit the number of queries. This clause can limit the number of items returned by the SELECT query results. The syntax "SELECT column1, column2,... FROM table LIMIT offset , count;”.
The operating environment of this tutorial: windows7 system, mysql8 version, Dell G3 computer.
When there are tens of thousands of data in the data table, querying all the data in the table at one time will reduce the speed of data return and put a lot of pressure on the database server. At this time, you can use the LIMIT clause to limit the number of items returned by the query results.
LIMIT is a special keyword in MySQL, which is used to specify which record the query results start to be displayed and how many records are displayed in total.
Use the LIMIT
clause in the SELECT
statement to constrain the results in the result set Rows. LIMIT
The clause accepts one or two parameters. The value of both parameters must be zero or a positive integer.
The LIMIT
clause syntax for the two parameters is explained below:
SELECT column1,column2,... FROM table LIMIT offset , count;
Let’s take a look at the LIMIT
clause parameters:
offset
The parameter specifies the offset of the first row to be returned. The offset of the first row is 0
, not 1
. count
Specifies the maximum number of rows to return. When you use the LIMIT
clause with one parameter, this parameter is used to determine what is returned from the beginning of the result set Maximum number of rows.
SELECT column1,column2,... FROM table LIMIT count;
The above query is equivalent to the following query with a LIMIT
clause that accepts two parameters:
SELECT column1,column2,... FROM table LIMIT 0 , count;
You can use the LIMIT
clause to select the first N
row records in the table, as follows:
SELECT column1,column2,... FROM table LIMIT N;
For example, to query employees
For the first 5
customers in the table, please use the following query:
SELECT customernumber, customername, creditlimit FROM customers LIMIT 5;
or -
SELECT customernumber, customername, creditlimit FROM customers LIMIT 0,5;
Execute the above statement and get the following results-
mysql> SELECT customernumber, customername, creditlimit FROM customers LIMIT 5; +----------------+----------------------------+-------------+ | customernumber | customername | creditlimit | +----------------+----------------------------+-------------+ | 103 | Atelier graphique | 21000 | | 112 | Signal Gift Stores | 71800 | | 114 | Australian Collectors, Co. | 117300 | | 119 | La Rochelle Gifts | 118200 | | 121 | Baane Mini Imports | 81700 | +----------------+----------------------------+-------------+ 5 rows in set
LIMIT
clause is often used together with the ORDER BY clause. First, use the ORDER BY
clause to sort the result set based on specific criteria, and then use the LIMIT
clause to find the minimum or maximum value.
Note: The
ORDER BY
clause is used to sort by the specified field.
Please refer to the following customers
table in the sample database (yiibaidb). Its table structure is as follows -
mysql> desc customers; +------------------------+---------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +------------------------+---------------+------+-----+---------+-------+ | customerNumber | int(11) | NO | PRI | NULL | | | customerName | varchar(50) | NO | | NULL | | | contactLastName | varchar(50) | NO | | NULL | | | contactFirstName | varchar(50) | NO | | NULL | | | phone | varchar(50) | NO | | NULL | | | addressLine1 | varchar(50) | NO | | NULL | | | addressLine2 | varchar(50) | YES | | NULL | | | city | varchar(50) | NO | | NULL | | | state | varchar(50) | YES | | NULL | | | postalCode | varchar(15) | YES | | NULL | | | country | varchar(50) | NO | | NULL | | | salesRepEmployeeNumber | int(11) | YES | MUL | NULL | | | creditLimit | decimal(10,2) | YES | | NULL | | +------------------------+---------------+------+-----+---------+-------+ 13 rows in set
For example, to query the one with the highest credit limit For the top five customers, please use the following query:
SELECT customernumber, customername, creditlimit FROM customers ORDER BY creditlimit DESC LIMIT 5;
Execute the above query statement and get the following results -
mysql> SELECT customernumber, customername, creditlimit FROM customers ORDER BY creditlimit DESC LIMIT 5; +----------------+------------------------------+-------------+ | customernumber | customername | creditlimit | +----------------+------------------------------+-------------+ | 141 | Euro+ Shopping Channel | 227600 | | 124 | Mini Gifts Distributors Ltd. | 210500 | | 298 | Vida Sport, Ltd | 141300 | | 151 | Muscle Machine Inc | 138500 | | 187 | AV Stores, Co. | 136800 | +----------------+------------------------------+-------------+ 5 rows in set
The following query will return the five customers with the lowest credit limit:
SELECT customernumber, customername, creditlimit FROM customers ORDER BY creditlimit ASC LIMIT 5;
One of the most difficult problems in MySQL is: how to get the n
th highest value in the result set Values, such as querying which is the second (or n
) most expensive product, obviously cannot be obtained using functions such as MAX or MIN. However, we can use MySQL LIMIT
to solve such problems.
LIMIT
clause to obtain the n
th most expensive product. The general query is as follows:
SELECT column1, column2,... FROM table ORDER BY column1 DESC LIMIT nth-1, count;
Let’s take a look at an example below, which will be done using the products (products
) table in the sample database (yiibaidb) Demo. products
The structure of the table is as follows -
mysql> desc products; +--------------------+---------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +--------------------+---------------+------+-----+---------+-------+ | productCode | varchar(15) | NO | PRI | NULL | | | productName | varchar(70) | NO | | NULL | | | productLine | varchar(50) | NO | MUL | NULL | | | productScale | varchar(10) | NO | | NULL | | | productVendor | varchar(50) | NO | | NULL | | | productDescription | text | NO | | NULL | | | quantityInStock | smallint(6) | NO | | NULL | | | buyPrice | decimal(10,2) | NO | | NULL | | | MSRP | decimal(10,2) | NO | | NULL | | +--------------------+---------------+------+-----+---------+-------+ 9 rows in set
View the row records in the following products table:
mysql> SELECT productCode, productName, buyprice FROM products ORDER BY buyprice DESC; +-------------+--------------------------------------+----------+ | productCode | productName | buyprice | +-------------+--------------------------------------+----------+ | S10_4962 | 1962 LanciaA Delta 16V | 103.42 | | S18_2238 | 1998 Chrysler Plymouth Prowler | 101.51 | | S10_1949 | 1952 Alpine Renault 1300 | 98.58 | | S24_3856 | 1956 Porsche 356A Coupe | 98.3 | | S12_1108 | 2001 Ferrari Enzo | 95.59 | | S12_1099 | 1968 Ford Mustang | 95.34 | ... .... +-------------+--------------------------------------+----------+ 110 rows in set
Our task is to find the second highest priced product in the result set . You can use the LIMIT
clause to select the second row, such as the following query (note: the offset starts from 0
, so specify starting from 1
, and then Take a row of records):
SELECT productCode, productName, buyprice FROM products ORDER BY buyprice DESC LIMIT 1, 1;
Execute the above query statement and get the following results-
mysql> SELECT productCode, productName, buyprice FROM products ORDER BY buyprice DESC LIMIT 1, 1; +-------------+--------------------------------+----------+ | productCode | productName | buyprice | +-------------+--------------------------------+----------+ | S18_2238 | 1998 Chrysler Plymouth Prowler | 101.51 | +-------------+--------------------------------+----------+ 1 row in set
Similarly, get the product information with the third and fourth highest selling prices: LIMIT 2, 1
and LIMIT 3, 1
.
[Related recommendations: mysql video tutorial]
The above is the detailed content of How to limit the number of queries in mysql. For more information, please follow other related articles on the PHP Chinese website!