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Python SQLite - 排序依据
使用 SELECT 查询获取数据时,您将按照插入记录的顺序获取记录。
您可以使用Order By子句按所需顺序(升序或降序)对结果进行排序。默认情况下,该子句按升序对结果进行排序,如果需要按降序排列,则需要显式使用“DESC”。
句法
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>
如果我们使用 INSERT 语句插入 5 条记录:
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>
以下 SELECT 语句按年龄升序检索 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>
您可以使用多个列对表的记录进行排序。以下 SELECT 语句根据列AGE和FIRST_NAME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子句按升序对表的记录进行排序,您可以使用 DESC 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
要按特定顺序检索表的内容,请对游标对象调用execute() 方法,并将SELECT 语句和ORDER BY 子句作为参数传递给它。
例子
在下面的示例中,我们将创建一个包含 name 和 Employee 的表,填充该表,并使用 ORDER BY 子句按年龄(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) ]