因此，我继承了一个用PHP编写的“简单” Web应用程序，并通过在long_text字段中使用json将大多数交易数据存储在MariaDB的一个表中。
我需要解析数据，以便可以将其放入传统的关系数据库表中。最好使用SQL和/或Python。
这是当前的表结构
+---------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| client_name | varchar(100) | YES | | NULL | |
| invoice_total | varchar(45) | YES | | NULL | |
| invoice | longtext | NO | | NULL | |
| user_id | int(11) | YES | MUL | NULL | |
| created | datetime | NO | | NULL | |
| uuid | varchar(70) | NO | | NULL | |
| paid | tinyint(1) | NO | | 0 | |
| paid_date | datetime | YES | | NULL | |
+---------------+--------------+------+-----+---------+----------------+
这里是现有数据的一条记录。
341, 'Dave Moreman', '4616.75', '{"data":{"id":"341","clientCompanyName":"Dave Moreman","clientAddress":"18656 86th Ave, <br />Zwingle,Utah 50032, <br />United States, <br /> 563 555 1212.","job_descr":"Swine","Invoice":{"itemNo":["1","1","1","DF","F"],"itemName":["Pumped out of hog building, hauled 4.5 miles and applied to field (Jakes House)","Pumped out of hog building, hauled 3.5 miles and applied to field (Daughters house)","Pumped out of hog building, hauled 4 miles and applied to field(By your house)","Diesel Fuel","Finance charge"],"price":["0.0155",".0145",".015","1","1"],"quantity":["169000","88000","36002","113.00","68.22"],"total":["2619.50","1276.00","540.03","113.00","68.22"]},"notes":"281,000 total gallons","subTotal":"4616.75","tax":"","taxAmount":"0","totalAftertax":"4616.75","amountPaid":"","amountDue":"4616.75","companyAddress":""},"invoice_btn":"Save Invoice"}', 1, '2018-04-30 22:21:24', '5ae7dd3402994', 1, '2018-06-22 12:56:39'
这就是我的意思。
#!/usr/bin/python3
import pymysql.cursors
# Connect to the database
connection = pymysql.connect(host='localhost',
user='user',
password='password',
db='shaggy',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor)
try:
with connection.cursor() as cursor:
# Read a single record
sql = "select invoice from invoices where id = 341"
cursor.execute(sql)
result = cursor.fetchall()
print(result)
print("-------------------------------------")
for row in result:
print(row["invoice"][0])
print(row["invoice"][1])
print(row["invoice"][2])
print(row["invoice"][3])
except Exception as e:
print("Exeception occured:{}".format(e))
finally:
connection.close()
这是我的结果。
[{'invoice': '{"data":{"id":"341","clientCompanyName":"Dave Morehead","clientAddress":"18656 86th Ave, <br />Bernard,Iowa 52032, <br />United States, <br /> 563 249 5319.","job_descr":"Swine","Invoice":{"itemNo":["1","1","1","DF","F"],"itemName":["Pumped out of hog building, hauled 4.5 miles and applied to field (Jakes House)","Pumped out of hog building, hauled 3.5 miles and applied to field (Daughters house)","Pumped out of hog building, hauled 4 miles and applied to field(By your house)","Diesel Fuel","Finance charge"],"price":["0.0155",".0145",".015","1","1"],"quantity":["169000","88000","36002","113.00","68.22"],"total":["2619.50","1276.00","540.03","113.00","68.22"]},"notes":"281,000 total gallons","subTotal":"4616.75","tax":"","taxAmount":"0","totalAftertax":"4616.75","amountPaid":"","amountDue":"4616.75","companyAddress":""},"invoice_btn":"Save Invoice"}'}]
-------------------------------------
{
"
d
a
我的问题是如何继续处理获取关键值信息的数据？
答案 0 :(得分：0)
INSERT语句，然后执行它们。也就是说，通过应用程序语言比通过SQL更好地完成步骤2和3。