python - 尝试导入数据到MySQL时出现 "TypeError: not all arguments covered during string formatting"是什么原因？

Question

这个问题已经有答案了:

Why do I get "TypeError: not all arguments converted during string formatting" when trying to use a string in a parameterized SQL query? (8 个回答)

已关闭 4 年前。

我正在尝试将 CSV 文件导出到 MySQL 数据库，但我似乎无法找出代码中的错误。我相信它应该有效。

import csv
import MySQLdb

mysql_conn = MySQLdb.connect(host='localhost', user='root', passwd='******', db='accounting')
mysql_cursor = mysql_conn.cursor()

f = open('C:/Users/Pops/Desktop/List of Payees.csv')
csv_f = csv.reader(f)

for row in csv_f:
    mysql_cursor.execute("""INSERT INTO list_of_payees (list_of_payees) VALUES (%s)""", (row[0]))

mysql_conn.commit()
mysql_cursor.close()

错误代码:

Traceback (most recent call last):
  File "C:\Users\Pops\Desktop\Martin\Programming\Python\venv\lib\site-packages\MySQLdb\cursors.py", line 238, in execute
    query = query % args
TypeError: not all arguments converted during string formatting

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:/Users/Pops/Desktop/Martin/Programming/Python/ExcelToMySQL.py", line 11, in <module>
    mysql_cursor.execute("""INSERT INTO list_of_payees (list_of_payees) VALUES (%s)""", (row[0]))
  File "C:\Users\Pops\Desktop\Martin\Programming\Python\venv\lib\site-packages\MySQLdb\cursors.py", line 240, in execute
    self.errorhandler(self, ProgrammingError, str(m))
  File "C:\Users\Pops\Desktop\Martin\Programming\Python\venv\lib\site-packages\MySQLdb\connections.py", line 52, in defaulterrorhandler
    raise errorclass(errorvalue)
_mysql_exceptions.ProgrammingError: not all arguments converted during string formatting

Process finished with exit code 1

Answer 1

LOAD DATA INFILE是将 csv 文件上传到 MYSQL 表的一种更快更好的方法，读取 CSV 并插入到 MYSQL 表中是一个缓慢且耗时的过程。使用 MYSQLdb 从 python 执行此命令。

示例查询:

LOAD DATA INFILE '/path_of_csv_file/sampledata.csv' 
INTO TABLE expenses  
    FIELDS TERMINATED BY ',' 
           OPTIONALLY ENCLOSED BY '"'
    LINES  TERMINATED BY '\n' -- or \r\n
(column1, column2, column3, column4, column5)