Hello, I have a question that may seem strange. Assume that I have some *known* set of rows in a (potentially very) large data set that I know are out of consistency across the replicas. I can obviously bring these back into consistency by issuing standard reads (with read repair probability set to 1.0) and letting the system take care of it. Of course I could also implement new code as part of the system that takes this set of rows and programmatically issues internal row resolution requests (I have done this).
What I am thinking about now is the possibility of doing this in bulk…is it conceivably possible to use the anti-entropy mechanism on a targeted set of data? The idea would be to use the efficiency of the repair mechanism and associated bulk transfer without requiring a check of the entire data set. I've been spending a lot of time in the code, but just wanted to ask if anyone knows the feasibility before I spend a lot of time delving into the anti-entropy stuff. Thanks, Bill Katsak
