Move Redis databases background processing to databasesCron().
Actually call databasesCron() inside serverCron().
Only resize/rehash a few databases per cron iteration.

This is the first step to lower the CPU usage when many databases are
configured. The other is to also process a limited number of DBs per
call in the active expire cycle.
Use unsigned integers for DB ids, for defined wrap-to-zero.
activeExpireCycle(): process only a small number of DBs per iteration.

This small number of DBs is set to 16 so actually in the default
configuraiton Redis should behave exactly like in the past.
However the difference is that when the user configures a very large
number of DBs we don't do an O(N) operation, consuming a non trivial
amount of CPU per serverCron() iteration.
REDIS_DBCRON_DBS_PER_SEC -> REDIS_DBCRON_DBS_PER_CALL
Optimize inner loop of activeExpireCycle() for no-expires case.
Make comment name match var name in activeExpireCycle().
In databasesCron() never test more DBs than we have.
activeExpireCycle() smarter with many DBs and under expire pressure.

activeExpireCycle() tries to test just a few DBs per iteration so that
it scales if there are many configured DBs in the Redis instance.
However this commit makes it a bit smarter when one a few of those DBs
are under expiration pressure and there are many many keys to expire.

What we do is to remember if in the last iteration had to return because
we ran out of time. In that case the next iteration we'll test all the
configured DBs so that we are sure we'll test again the DB under
pressure.

Before of this commit after some mass-expire in a given DB the function
tested just a few of the next DBs, possibly empty, a few per iteration,
so it took a long time for the function to reach again the DB under
pressure. This resulted in a lot of memory being used by already expired
keys and never accessed by clients.