Hi Val,
1M per day in memory sales data, 100 parallel financial aggregations in each
batch plus additional  PUB/SUB requests for both instant query and server
push. It has been confirmed to play group count distinct is way too slow, so
we decided to play some of TOP N query in separate domain, for example:

Capture a cache event and export to messaging-->client node subscribe to the
TOPIC-->a IN-MEMORY tree set with particular comparator for filtering and
sorting -->publish result once TOP N map is changed.-->update user
visualization

I believe this way won't block cache.






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