经实测发现,pymysql的executemany 不支持insert into ... on duplicate key update ...语句, 而sqlalchemy支持。 当在pymysql executemany()中使用insert into ... on duplicate key update ...语句时,需要双倍的参数,例如: cursor.executemany("insert into t(c1, c2) values(%s, %s) on duplicate key upd...
【009】Pymysql模块中的一些重点方法 方法一:executemany():在上面的例子中,我们都是使用execute执行插入语句,但是这样做的缺点在于我们无法同时插入多条记录,如果想同时插入多条记录,我们可以使用executemany方法,该方法接收两个参数,一个是我们的sql语句表达式,另一个是我们需要插入的值,只不过这里的值是一个列表,而...
effect_row = cur.executemany(sql,[('张三','110'),('李四','119')]) print(effect_row) # 输出 2 #删 sql = "delete from userinfo where id=1" effect_row = cur.execute(sql) print(effect_row) # 1 #改 sql = "update userinfo set name=%s where id=2" effect_row = cur.execute(sq...
SQLAlchemy supports update batching using Cursor.executemany(). Sadly, executemany in PyMySQL (and mysqlclient) only support INSERT and REPLACE query. I'll add new executemany implementation which uses multi results. While it doesn't reduce number of queries, it can reduce number of roundtrips.me...
(username,pwd)) #同时插入多条数据 #cursor.executemany(sql,[('李四','110'),('王五','119')]) # print(effect_row)# # 改 # sql = "update userinfo set username = %s where id = 2" # effect_row = cursor.execute(sql,username) # print(effect_row) # 删 sql = "delete from ...
executemany(sql,[('xxx',123),('ooo',123),('yyy',123)]) print(rows) #执行sql语句,返回sql影响成功的行数 conn.commit() # 确认提交 # 修改 sql = 'update user set name="jasonNB" where id=1' rows = cursor.execute(sql) print(rows) conn.commit() # 确认提交 # 删除 sql = 'delete...
executemany(sql, data_info) 插入的速度比较慢 2.4 常规-更新 代码语言:javascript 复制 import pymysql #3.更新操作 db= pymysql.connect(host="localhost",user="root", password="123456",db="test",port=3307) # 使用cursor()方法获取操作游标 cur = db.cursor() sql_update ="update user set ...
executemany() 自动拼接sql 语句并执行 # 自动识别 %s 替换成后面的参数,插入多个数据 # --- res = cursor.executemany(sql, [('jerry', '123'), ('tank', '123'), ('jason', '123')]) # --- # conn.commit() 提交 新增、修改、删除操作 必须写上才有效 # ---...
2.executemany添加多个 sql2 ='insert into t1 values (%s,%s,%s)'cursor.executemany(sql2,[(1,2,3),(4,5,6)])# 增加多个数据,列表中套元组conn.commit() 3.删除数据 importpymysql# 1. 建立数据库连接对象 coonconn = pymysql.connect(user='root',password='',database='oldboy')# 如果加上au...