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This adds a new optimization feature that allows expensive tables to cache their results between JOINs. Consider JOINing a list of open sockets, for each process, then requesting to hash each process path. This query may hash the same path multiple times. Within-query caching allows the hash table to respond with the previous result of the hash request as long as the requested computation was the result of a single query. Subsequent queries will perform subsequent hashing. |
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templates | ||
amalgamate.py | ||
genapi.py | ||
gentable.py | ||
gentargets.py |