Great investigation, good job guys!
> Personally I would have liked to have seen even more iterations. While 14
run iterations gives an indication, the average of randomness is not what
is important here. What concerns me is the consequence to imbalances as the
cluster grows when you're very unluc
There's a lot going on here... hopefully I can respond to everything in a
coherent manner.
> Perhaps a simple way to avoid this is to update the random allocation
algorithm to re-generate tokens when the ranges created do not have a good
size distribution?
Instead of using random tokens for the f
Link to JIRA board:
https://issues.apache.org/jira/secure/RapidBoard.jspa?rapidView=355&projectKey=CASSANDRA
It's been a week of toiling on the tasks we need to ship a release --
fixing bugs and flaky tests.
We've had 0 new ticket opened against 4.0 since the last status email (6d).
https://issue
