Python SQLite Order By
当使用SELECT查询获取数据时,你将按照插入记录的相同顺序得到记录。
你可以使用 Order By 子句将结果按需要的顺序排序(升序或降序)。默认情况下,该子句以升序排列结果,如果你需要以降序排列,你需要明确使用 “DESC”。
语法
以下是SQLite中ORDER BY子句的语法。
SELECT column-list
FROM table_name
[WHERE condition]
[ORDER BY column1, column2, .. columnN] [ASC | DESC];
例子
假设我们使用以下查询创建了一个名为CRICKETERS的表-
sqlite> CREATE TABLE CRICKETERS (
First_Name VARCHAR(255),
Last_Name VARCHAR(255),
Age int,
Place_Of_Birth VARCHAR(255),
Country VARCHAR(255)
);
sqlite>
And if we have inserted 5 records in to it using INSERT statements as −
sqlite> insert into CRICKETERS values('Shikhar', 'Dhawan', 33, 'Delhi', 'India');
sqlite> insert into CRICKETERS values('Jonathan', 'Trott', 38, 'CapeTown', 'SouthAfrica');
sqlite> insert into CRICKETERS values('Kumara', 'Sangakkara', 41, 'Matale', 'Srilanka');
sqlite> insert into CRICKETERS values('Virat', 'Kohli', 30, 'Delhi', 'India');
sqlite> insert into CRICKETERS values('Rohit', 'Sharma', 32, 'Nagpur', 'India');
sqlite>
下面的SELECT语句按照年龄的升序检索CRICKETERS表中的行-
sqlite> SELECT * FROM CRICKETERS ORDER BY AGE;
First_Name Last_Name Age Place_Of_B Country
---------- ---------- ---- ---------- -------------
Virat Kohli 30 Delhi India
Rohit Sharma 32 Nagpur India
Shikhar Dhawan 33 Delhi India
Jonathan Trott 38 CapeTown SouthAfrica
Kumara Sangakkara 41 Matale Srilanka
sqlite>
你可以使用一个以上的列来对表的记录进行排序。下面的SELECT语句根据 AGE 和 FIRST_NAME 这两列对CRICKETERS表的记录进行排序 。
sqlite> SELECT * FROM CRICKETERS ORDER BY AGE, FIRST_NAME;
First_Name Last_Name Age Place_Of_B Country
---------- ---------- ---- ---------- -------------
Virat Kohli 30 Delhi India
Rohit Sharma 32 Nagpur India
Shikhar Dhawan 33 Delhi India
Jonathan Trott 38 CapeTown SouthAfrica
Kumara Sangakkara 41 Matale Srilanka
sqlite>
默认情况下, ORDER BY 子句将表的记录按升序排序,你可以用DESC作为–将结果按降序排列。
sqlite> SELECT * FROM CRICKETERS ORDER BY AGE DESC;
First_Name Last_Name Age Place_Of_B Country
---------- ---------- ---- ---------- -------------
Kumara Sangakkara 41 Matale Srilanka
Jonathan Trott 38 CapeTown SouthAfrica
Shikhar Dhawan 33 Delhi India
Rohit Sharma 32 Nagpur India
Virat Kohli 30 Delhi India
sqlite>
使用python的ORDER BY子句
为了按照特定的顺序检索表的内容,在游标对象上调用execute()方法,并将SELECT语句和ORDER BY子句作为参数传递给它。
例子
在下面的例子中,我们创建了一个带有姓名和雇员的表,填充了它,并使用ORDER BY子句按照年龄的(升序)顺序检索其记录。
import psycopg2
#establishing the connection
conn = psycopg2.connect(
database="mydb", user='postgres', password='password', host='127.0.0.1', port= '5432'
)
#Setting auto commit false
conn.autocommit = True
#Creating a cursor object using the cursor() method
cursor = conn.cursor()
#Doping EMPLOYEE table if already exists.
cursor.execute("DROP TABLE IF EXISTS EMPLOYEE")
#Creating a table
sql = '''CREATE TABLE EMPLOYEE(
FIRST_NAME CHAR(20) NOT NULL,
LAST_NAME CHAR(20),
AGE INT, SEX CHAR(1),
INCOME INT,
CONTACT INT
)'''
cursor.execute(sql)
#Populating the table
#Populating the table
cursor.execute('''INSERT INTO EMPLOYEE
(FIRST_NAME, LAST_NAME, AGE, SEX, INCOME) VALUES
('Ramya', 'Rama priya', 27, 'F', 9000),
('Vinay', 'Battacharya', 20, 'M', 6000),
('Sharukh', 'Sheik', 25, 'M', 8300),
('Sarmista', 'Sharma', 26, 'F', 10000),
('Tripthi', 'Mishra', 24, 'F', 6000)''')
conn.commit()
#Retrieving specific records using the ORDER BY clause
cursor.execute("SELECT * from EMPLOYEE ORDER BY AGE")
print(cursor.fetchall())
#Commit your changes in the database
conn.commit()
#Closing the connection
conn.close()
输出
[('Vinay', 'Battacharya', 20, 'M', 6000, None),
('Tripthi', 'Mishra', 24, 'F', 6000, None),
('Sharukh', 'Sheik', 25, 'M', 8300, None),
('Sarmista', 'Sharma', 26, 'F', 10000, None),
('Ramya', 'Rama priya', 27, 'F', 9000, None)]