This time I will bring you how to use Python to call mysql to update data. What are the precautions for calling mysql to update data in Python? The following is a practical case, let's take a look.
The example in this article describes how Python implements the function of updating data by calling mysqlstored procedure. Share it with everyone for your reference, the details are as follows:
1. Demand analysis
Due to the management rate configuration error, the repayment of the generated order There are errors in the calculation of various amounts and management fees in the interest payment table and order table, and data correction is required. For this reason, in order to build a wheel, it will save a lot of effort in the future, and all modifications will be done with programs, without any manual input.2. Create mysql stored procedure with parameters
1. Update order interest payment table (t_order_rapay)
drop procedure if exists update_t_order_rapay; delimiter $$ create procedure update_t_order_rapay(IN orderNo varchar(64)) begin declare t_order_no varchar(64); set t_order_no=orderNo; UPDATE t_order_repay SET total_amount=principal+interest+round(manage_amount*0.0808/0.052,3)+breach_amount, left_amount=principal+interest+round(manage_amount*0.0808/0.052,3)+breach_amount, left_repay_manager=round(manage_amount*0.0808/0.052,3), manage_amount=round(manage_amount*0.0808/0.052,3) WHERE order_no=t_order_no; end $$ delimiter;
2. Update the order table (t_order_info)
drop procedure if exists update_t_order_info; delimiter $$ create procedure update_t_order_info(IN orderNo varchar(64)) begin declare t_order_no varchar(64); set t_order_no=orderNo; SELECT left_amount into @m1 from t_order_repay WHERE order_no=t_order_no ORDER BY plan_time LIMIT 1; UPDATE t_order_info set manage_cost_rate=0.0808, manage_cost=round(manage_cost*0.0808/0.052,3), left_amount=borrow_amount+interest_amount+manage_cost, next_amount_need=@m1 WHERE order_no=t_order_no; end $$ delimiter;
3. Python calls the stored procedure in mysql
# encoding: utf-8 import time import sys reload(sys) sys.setdefaultencoding('utf-8') time1 = time.time() import pandas as pd import pymysql ############################################从数据库读数据########################################### ###########线上###################### # 加上字符集参数,防止中文乱码 # conn=pymysql.connect( # host="##########", # database="######", # user="####", # password="##########", # port=#######, # charset='utf8' # ) # #############测试库###################### # ## 加上字符集参数,防止中文乱码 # conn=pymysql.connect( # host="172.16.34.32", # database="#########", # user="admin", # password="##############", # port=#########, # charset='utf8' # ) #sql语句(安徽) # sqlcmd=""" # SELECT order_no from t_order_info WHERE offline_org_no in( # 0032,0035,0036 # # # ) and substr(create_time,1,10)>="2017-10-31" # # and `status` in(105,106,107,108) # # and manage_cost_rate=0.052 # # # """ #################sql语句(江苏) # sqlcmd2=""" # SELECT order_no from t_order_info WHERE offline_org_no in( # 0002,0005,0006,0007,0008,0009,0010,0011,0012,0013,0014,0017,0018,0019,0025,0026,0027,0028,0030,0031,0033,0034 # ) and substr(create_time,1,10)>="2017-10-31" # and `status` in(105,106,107,108) # and manage_cost_rate=0.052 # # """ #利用pandas 模块导入mysql数据 # data=pd.read_sql(sqlcmd2,conn) # print data # # # ###################更新order_rapay表 # for each in data["order_no"]: # print each # # 创建游标 # cursor = conn.cursor(cursor=pymysql.cursors.DictCursor) # #有参数存储过程 # cursor.execute('call update_t_order_rapay(%s)',(each)) # conn.commit() # # print "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" # #####################更新order_info表################### # for each in data["order_no"]: # print each # # # 创建游标 # cursor = conn.cursor(cursor=pymysql.cursors.DictCursor) # #有参数存储过程 # cursor.execute('call update_t_order_info(%s)', (each)) # conn.commit() # # # cursor.close() # print '调用存储过程完毕................' # conn.close() # time2=time.time() # print u'总共耗时:' + str(time2 - time1) + 's'
The object of diff is the virtual dom
Event emitter’s listening event
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