场景如下:
我有以下数据:
Day 1
Event 1
message
message
message
Event 2
message
message
message
Event 3
message
message
message
Day 2
Event 1
message
message
message
Event 2
message
message
message
...
数据
日志文件中的一个事件如下所示:
2019-08-05 09:18:45 -- INFO -- all buttons -- THOR: All button were pressed.
2019-08-05 09:18:48 -- WARNING -- THOR1: The system failed to connect. Is the asset online? If so, did the password change?
2019-08-05 09:18:51 -- WARNING -- THOR2: The system failed to connect. Is the asset online? If so, did the password change?
2019-08-05 09:18:51 -- WARNING -- THOR3: Looks like it's online, but the system was unable to log in.
2019-08-05 09:18:51 -- WARNING -- THOR4: Looks like it's online, but the system was unable to log in.
2019-08-05 09:18:51 -- WARNING -- THOR5: Looks like it's online, but the system was unable to log in.
2019-08-05 09:18:52 -- WARNING -- THOR6: Looks like it's online, but the system was unable to log in.
我目前的方法
到目前为止,我的数据存储(非常粗糙)为
Day 1 Event 1 Event 2 Day 2 Event 1
| | | | |
| | | | |
| _______| | | ________|
| | | | |
[ [ [message, message, message], [message, message]], [ [message, message], ... ], ... ]
也许是更好的方法?
{
'08/05/2019': {
'09:18': [message, message, message],
'10:30': [message, message, message, message],
'14:40': [message]
}
'08/03/2019': {
'06:40': [message, message],
'17:25': [message, message]
}
}
结论
我需要保持顺序,这样我就可以在前端按时间顺序显示这些内容,但是对于这样的内容,dict会更有效吗?这可能是可行的,因为Python dicts now maintain insertion order。你知道吗
哪种数据结构更适合存储和搜索?我应该注意到,我可能要处理大约60000条消息。你知道吗
目前没有回答
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