我正在尝试在数据库中保存一堆元组
cursor = cnx.cursor()
query = """INSERT INTO `TableA`
(`clientid`,
`createddatetime`,
`siteid`,...)
VALUES(?,?,?,...)"""
cursor.executemany(query, listTosave)
My listTosave包含元组列表,如;
('AS0001','1170',1,'1',‘未知’,442,1,datetime.datetime(2018,5,28,23,0),datetime.datetime(2018,3,15,11,15),datetime.datetime(2018,3,15,10,56),datetime.datetime(2018,5,28,23,18,26),datetime.datetime(2018,5,28,23,59,22),Decimal('15177.3184'),Decimal('15185.7562'),Decimal('8.4378'),Decimal('1313.0547'),Decimal('1313.6179'),Decimal('0.5632'),Decimal('0.0000'),Decimal('0.0000'),Decimal('24.6518'),Decimal('24.6518'),15101.7062,0.0,0.0,0.0,24.6563)、(.)
当我尝试保存时,我得到了;
File "/tmp/pymodules/pymysql/cursors.py", line 194, in executemany
File "/tmp/pymodules/pymysql/cursors.py", line 194, in <genexpr>
File "/tmp/pymodules/pymysql/cursors.py", line 163, in execute
File "/tmp/pymodules/pymysql/cursors.py", line 142, in mogrify
TypeError: not all arguments converted during string formatting
为什么会出现这个错误?
编辑:我还将datetime对象/decimal对象转换为字符串。我的新清单是这样的:
('AS0001','1170','1','1',‘未知’,'442','1','2018-05-28 23:00:00','2018-03-15 11:15:00','2018-03-15 10:56:00','2018-05-28 23:18:26','2018-05-28 23:59:22','15177.3184','15185.7562','8.4378','1313.0547','1313.6179','0.5632','0.0000','0.0000','0.0000','0.0000','0.0000','0.0000','24.6518','24.6518','15101.7062','0.0','0.0',‘0.0’),(.....)
但是我还是得到了同样的错误
发布于 2018-05-31 11:46:23
这是我工作过的一个最小的例子。
query = "INSERT INTO `pet`(`name`,`owner`) values(%s,%s)"
listTosave = [('some','shsjhs'),('sosos','shshsh')]
cursor.executemany(query, listTosave)
确保您有一个元组列表,并且在查询字符串中使用%s
发布于 2018-05-31 08:43:23
从返回的错误中可以看出,这可能与列表中存储的datetime对象有关,没有正确转换为字符串表示。将这些包装在str()
中可能是导致问题的原因。
请注意以下示例:
>>> import datetime
>>> datetime.datetime.now()
datetime.datetime(2018, 5, 31, 8, 42, 48, 172575)
>>> str(datetime.datetime.now())
'2018-05-31 08:42:53.192586'
另一种选择也许能够通过使用json.dumps将列表元素转换为json
字符串格式来消除错误。但这取决于您希望如何将数据存储在数据库中。请参阅以下内容:
>>> import json
>>> element = (
... 'AS0001', '1170', '1', '1', 'Unknown', '442', '1', '2018-05-28 23:00:00', '2018-03-15 11:15:00', '2018-03-15 10:56:00',
... '2018-05-28 23:18:26', '2018-05-28 23:59:22', '15177.3184', '15185.7562', '8.4378', '1313.0547', '1313.6179', '0.5632',
... '0.0000', '0.0000', '0.0000', '0.0000', '0.0000', '0.0000', '24.6518', '24.6518', '15101.7062', '0.0', '0.0', '0.0',
... '24.6563')
>>> json.dumps(element)
'["AS0001", "1170", "1", "1", "Unknown", "442", "1", "2018-05-28 23:00:00", "2018-03-15 11:15:00", "2018-03-15 10:56:00", "2018-05-28 23:18:26", "2018-05-28 23:59:22", "15177.3184", "15185.7562", "8.4378", "1313.0547", "1313.6179", "0.5632", "0.0000", "0.0000", "0.0000", "0.0000", "0.0000", "0.0000", "24.6518", "24.6518", "15101.7062", "0.0", "0.0", "0.0", "24.6563"]'
在检索此数据时,您可以使用json.loads将其加载回python对象格式
https://stackoverflow.com/questions/50615060
复制相似问题