Comments (1)
Hey!
First, I'm absolutely happy that MCRIT seems to provide value and promise to be useful.
You are also the first organization that is pushing it to that scale (at least that I'm aware of) and I'm happy that you already contributed and engage here for improvements.
However, when it grows to 100k+ files, it begins to significantly slow down and can take more than 10 minutes for a query about some file.
By "query", you mean matching an existing sample against the database or having a sample disassembled and matched (query in MCRITweb sense) or a simpler operation like just pulling out the information associated with it?
For the questions you posted, I think it would be worthwhile to schedule a call and talk about this synchronously as it will quickly become too complex for a threaded discussion. :) It would also help me understand better how you are using the system, which would certainly influence how/which parts can/should be addressed first.
Feel free to contact me here: [email protected]
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Related Issues (20)
- Limit export
- Add auth to API routes HOT 3
- Add universal tagging
- Generate documentation for McritClient / API
- Configurable UniqueBlocks queries HOT 1
- Index-out-of-range may occur in job's `sample_id` property HOT 1
- Consider adding actors field to families HOT 1
- QoL: Add last index timestamp to server statistics HOT 1
- Add TTL to query_* documents HOT 8
- Question: PicHash and MinHash recalculation results HOT 1
- KeyError on import HOT 2
- recalculateMinHashes progress measure is inaccurate HOT 1
- Exception on POST /query/function HOT 1
- IDA plugin exception printing HOT 1
- Considerations for DbCleanup HOT 1
- Workers consume a lot of ram on query HOT 2
- Binary removal on job deletion might cause issues for certain files
- Use child processes in client
- Cross compare broken HOT 3
- Spawningworker: logging, check if process crashed
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