Method and device for improving SSR violation-log statistical performance
A log and performance technology, applied in the field of computer security, can solve the problem of low statistical performance of violation logs, and achieve the effect of improving user experience, performance, and statistical performance
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[0047] Example one
[0048] The method of the present invention to improve the statistical performance of SSR violation logs is to write and store violation log data based on the MongoDB database. When SSR counts violation logs, use the view of caching statistical results to improve statistical performance. When caching statistical results, follow The statistical results of different time intervals are cached in segments, and then the cached statistical results of the corresponding time period are displayed according to the query time period set by the customer.
[0049] In the present invention, when segmented caching, the uploaded violation log or the caching of statistical results are calculated in real time, hourly, and day.
[0050] The method of the present invention includes the following steps:
[0051] 1) Cache the statistical results in segments
[0052] a. Establish a collection of realtime to count the uploaded violation logs in real time;
[0053] b. Set up a set hour and c...
Example Embodiment
[0069] Example two
[0070] As attached Figure 4 As shown, a device for improving the statistical performance of SSR violation logs. When SSR counts a large number of violation logs, the view of caching statistical results is used to improve statistical performance, including:
[0071] Input module 1, used to input the query time period;
[0072] The query module 2 is used to query the data information of the segmented cache database corresponding to different time intervals according to the query time period input by the user;
[0073] The processing module 3 is used to calculate the data information of the segmented cache database with different time interval lengths;
[0074] The display module 4 is used to display the data information calculated by the processing module 3.
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