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📜  Python MySQL-订购依据

📅  最后修改于: 2020-11-07 07:41:26             🧑  作者: Mango

使用SELECT查询获取数据时，可以使用OrderBy子句按所需顺序(升序或降序)对结果进行排序。默认情况下，此子句将结果按升序排序，如果需要按降序排列它们，则需要显式使用“ DESC”。

句法

以下是语法SELECT列列表

FROM table_name
[WHERE condition]
[ORDER BY column1, column2,.. columnN] [ASC | DESC]; of the ORDER BY clause:

例

假设我们已经在MySQL中创建了一个名为EMPLOYEES的表-

mysql> CREATE TABLE EMPLOYEE(
   FIRST_NAME CHAR(20) NOT NULL,
   LAST_NAME CHAR(20),
   AGE INT,
   SEX CHAR(1),
   INCOME FLOAT);
Query OK, 0 rows affected (0.36 sec)

如果我们使用INSERT语句将4条记录插入到其中-

mysql> INSERT INTO EMPLOYEE VALUES
   ('Krishna', 'Sharma', 19, 'M', 2000),
   ('Raj', 'Kandukuri', 20, 'M', 7000),
   ('Ramya', 'Ramapriya', 25, 'F', 5000),
   ('Mac', 'Mohan', 26, 'M', 2000);

以下语句按年龄的升序检索EMPLOYEE表的内容。

mysql> SELECT * FROM EMPLOYEE ORDER BY AGE;
+------------+-----------+------+------+--------+
| FIRST_NAME | LAST_NAME | AGE  | SEX  | INCOME | 
+------------+-----------+------+------+--------+
| Krishna    | Sharma    |    19| M    | 2000   |
| Raj        | Kandukuri |    20| M    | 7000   |
| Ramya      | Ramapriya |    25| F    | 5000   |
| Mac        | Mohan     |    26| M    | 2000   |
+------------+-----------+------+------+--------+
4 rows in set (0.04 sec)

您还可以使用DESC作为降序检索数据-

mysql> SELECT * FROM EMPLOYEE ORDER BY FIRST_NAME, INCOME DESC;
+------------+-----------+------+------+--------+
| FIRST_NAME | LAST_NAME | AGE  | SEX  | INCOME |
+------------+-----------+------+------+--------+
| Krishna    | Sharma    |    19| M    | 2000   |
| Mac        | Mohan     |    26| M    | 2000   |
| Raj        | Kandukuri |    20| M    | 7000   |
| Ramya      | Ramapriya |    25| F    | 5000   |
+------------+-----------+------+------+--------+
4 rows in set (0.00 sec)

使用Python的ORDER BY子句

要按特定顺序检索表的内容，请在游标对象上调用execute()方法，并将SELECT语句与ORDER BY子句一起作为参数传递给它。

例

在下面的示例中，我们将创建一个具有名称和Employee的表，填充该表，然后使用ORDER BY子句按其年龄的(升序)顺序检索其记录。

import mysql.connector
#establishing the connection
conn = mysql.connector.connect(
   user='root', password='password', host='127.0.0.1', database='mydb'
)

#Creating a cursor object using the cursor() method
cursor = conn.cursor()

#Doping EMPLOYEE table if already exists.
cursor.execute("DROP TABLE IF EXISTS EMPLOYEE")
sql = '''CREATE TABLE EMPLOYEE(
   FIRST_NAME CHAR(20) NOT NULL,
   LAST_NAME CHAR(20),
   AGE INT,
   SEX CHAR(1),
   INCOME FLOAT
)'''
cursor.execute(sql)

#Populating the table
insert_stmt = "INSERT INTO EMPLOYEE 
   (FIRST_NAME, LAST_NAME, AGE, SEX, INCOME) VALUES (%s, %s, %s, %s, %s)"
data = [
   ('Krishna', 'Sharma', 26, 'M', 2000), 
   ('Raj', 'Kandukuri', 20, 'M', 7000),
   ('Ramya', 'Ramapriya', 29, 'F', 5000),
   ('Mac', 'Mohan', 26, 'M', 2000)
]
cursor.executemany(insert_stmt, data)
conn.commit()

#Retrieving specific records using the ORDER BY clause
cursor.execute("SELECT * from EMPLOYEE ORDER BY AGE")

print(cursor.fetchall())

#Closing the connection
conn.close()

输出

[
   ('Raj', 'Kandukuri', 20, 'M', 7000.0), 
   ('Krishna', 'Sharma', 26, 'M', 2000.0), 
   ('Mac', 'Mohan', 26, 'M', 2000.0), 
   ('Ramya', 'Ramapriya', 29, 'F', 5000.0)
]

以相同的方式，您可以使用ORDER BY子句以降序从表中检索数据。

例

import mysql.connector

#establishing the connection
conn = mysql.connector.connect(
   user='root', password='password', host='127.0.0.1', database='mydb'
)

#Creating a cursor object using the cursor() method
cursor = conn.cursor()

#Retrieving specific records using the ORDERBY clause
cursor.execute("SELECT * from EMPLOYEE ORDER BY INCOME DESC")

print(cursor.fetchall())

#Closing the connection
conn.close()

输出

[
   ('Raj', 'Kandukuri', 20, 'M', 7000.0), 
   ('Ramya', 'Ramapriya', 29, 'F', 5000.0), 
   ('Krishna', 'Sharma', 26, 'M', 2000.0), 
   ('Mac', 'Mohan', 26, 'M', 2000.0)
]