快速生成10000条数据，并插入数据库

想要快速生成10000条数据，便捷的方式就是写代码生成，这里选择的是python

步骤1：先在python里面编写代码，快速生成10000条sql语句

a:代表往文件里追加数据信息，如果文件里有数据，则在数据后面追加，如果无数据，则在第一行开始写入

uuid：用于随机生成32位随机数

import uuid


class Adata:
    def data(self):
        # a代表文件追加
        with open('b.txt', 'a', encoding='utf-8') as f:
            # 编写sql,追加进b.txt文件里
            insert_sql = "insert into t_mat_material_receive(id,warehousing_code," \
                         "project_id,project_name,area_code,area_name,sub_project_code,sub_project_name,specs," \
                         "unit,nums,stock_nums,material_name,price,unit_tax,amount,tax,total_amount,unit_weight," \
                         "total_weight," \
                         "org_id,dept_id,project_team_id,create_user_id,create_time,del_flag,province_code,city_code) " \
                         "values "
            f.write(insert_sql + "\n")

        with open('b.txt', 'a', encoding='utf-8') as f:
            for i in range(1):
                # 随机生成一个随机数
                uid = str(uuid.uuid4())
                # 将随机数生成带有的-进行拆分后，再连接在一起
                id = ''.join(uid.split('-'))
                # print(len(id))
                #追加的sql内容
                append_sql = "('%s', 'TX-23-04-入-051', " \
                             "'42761bda256bb7d7bd4c5772aea9ef11', '云南红河项目',  '云南省-红河州', '2424645765GG'," \
                             "'云南红河项目001',  '∠80×7×1700', '根', 16, 16, '角钢横担', 1.08716814, 0, 231.84, 4347, " \
                             "8479.53, 1.08716814, 14.49, '68ecaf3c40ce198abe8d21b967c18c3c'," \
                             "'1ddc5a1e499a11781e12a80458cbc026', 'ab3d0fd152ceccd2a6bb26545f3a2d3b',  " \
                             "'9341208f2561785d93f951013e4936fa', '2023-04-12 16:57:03', 0, '530000', '532500'), " % id
                f.write(append_sql + "\n")


if __name__ == '__main__':
    Adata().data()

2.将在文件b.txt生成的sql语句，复制到数据库下进行运行即可。

扩展mysql insert(多条)语句

效率低：insert into 表名(name1,name2...) values(value1,value2......);

效率高：insert into 表名（name1,name2) values(vale1,value2.....),(value1.1,value1.2),().....;