Posted in Python onDecember 29, 2020
Python操作PostgreSql数据库(基本的增删改查)
操作数据库最快的方式当然是直接用使用SQL语言直接对数据库进行操作,但是偶尔我们也会碰到在代码中操作数据库的情况,我们可能用ORM类的库对数控库进行操作,但是当需要操作大量的数据时,ORM的数据显的太慢了。在python中,遇到这样的情况,我推荐使用psycopg2
操作postgresql
数据库
psycopg2
官方文档传送门: http://initd.org/psycopg/docs/index.html
简单的增删改查
连接
连接pg并创建表
PG_SQL_LOCAL = { 'database': 'postgres', 'user': 'postgres', 'password': "8dsa581", # 'host':'10.27.78.1', 'host': 'localhost' } def connectPostgreSQL(): conn = psycopg2.connect(**PG_SQL_LOCAL) print('connect successful!') cursor = conn.cursor() cursor.execute(''' create table public.members( id integer not null primary key, name varchar(32) not null, password varchar(32) not null, singal varchar(128) )''') conn.commit() conn.close() print('table public.member is created!')
增
一条一条的增加数据
def insertOperate(): conn = psycopg2.connect(**PG_SQL_LOCAL) cursor = conn.cursor() cursor.execute("insert into public.member(id,name,password,singal)\ values(1,'member0','password0','signal0')") cursor.execute("insert into public.member(id,name,password,singal)\ values(2,'member1','password1','signal1')") cursor.execute("insert into public.member(id,name,password,singal)\ values(3,'member2','password2','signal2')") cursor.execute("insert into public.member(id,name,password,singal)\ values(4,'member3','password3','signal3')") row = conn.fetchone() print(row) conn.commit() conn.close() print('insert records into public.memmber successfully')
查
- fetchall() 一次性获取所有数据
- fetchmany() 一次值提取2000条数据(使用服务端的游标)
def selectOperate(): conn = psycopg2.connect(**PG_SQL_LOCAL) cursor = conn.cursor() cursor.execute("select id,name,password,singal from public.member where id>2") # rows = cursor.fetchall() # for row in rows: # print('id=', row[0], ',name=', row[1], ',pwd=', row[2], ',singal=', row[3],) while True: rows = cursor.fetchmany(2000) if not rows: break for row in rows: # print('id=', row['id'], ',name=', row['name'], ',pwd=', row['pwd'], ',singal=', row['singal'],) rid,name,pwd,singal = row print(rid,name,pwd,singal) # print('id=', row[0], ',name=', row[1], ',pwd=', row[2], ',singal=', row[3], ) conn.close()
改
更新数据
def updateOperate(): conn = psycopg2.connect(**PG_SQL_LOCAL) cursor=conn.cursor() result = cursor.execute("update public.member set name='member X' where id=3") print(result) conn.commit() print("Total number of rows updated :", cursor.rowcount) cursor.execute("select id,name,password,singal from public.member") rows=cursor.fetchall() for row in rows: print('id=',row[0], ',name=',row[1],',pwd=',row[2],',singal=',row[3],'\n') conn.close()
删
删除数据
def deleteOperate(): conn = psycopg2.connect(**PG_SQL_LOCAL) cursor = conn.cursor() cursor.execute("select id,name,password,singal from public.member") rows = cursor.fetchall() for row in rows: print('id=', row[0], ',name=', row[1], ',pwd=', row[2], ',singal=', row[3], '\n') print('begin delete') cursor.execute("delete from public.member where id=2") conn.commit() print('end delete') print("Total number of rows deleted :", cursor.rowcount) cursor.execute("select id,name,password,singal from public.member") rows = cursor.fetchall() for row in rows: print('id=', row[0], ',name=', row[1], ',pwd=', row[2], ',singal=', row[3], '\n') conn.close()
补充,增加的字段带有时间格式
带有时间格式是,只需要传入时间格式的字符串(‘2017-05-27')即可,PG会自动识别
cur.execute("INSERT INTO Employee " "VALUES('Gopher', 'China Beijing', 100, '2017-05-27')") # 查询数据 cur.execute("SELECT * FROM Employee") rows = cur.fetchall() for row in rows: print('name=' + str(row[0]) + ' address=' + str(row[1]) + ' age=' + str(row[2]) + ' date=' + str(row[3]), type(row[3])) # 插入数据 sql = """INSERT INTO Employees VALUES(%s, %s, %s,%s) """ var = [] var.append([row[0], row[1], row[2], row[3]]) cur.executemany(sql, var) # 提交事务 conn.commit() # 关闭连接 conn.close()
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Python操作PostgreSql数据库的方法(基本的增删改查)
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