Hi,

We struggle a bit with our cassandra cluster while using the
akka-persistence-cassandra journal, in a cluster sharding context with a
few thousand short-lived (from 15 min to 15 days) persistent actors, and
a few long-lived persistent actors, and 2 persistence views (with a 2s
update cycle).

Most if not all the long-lived actors store a snapshot every 15 minutes,
and *delete* old events prior to this snapshot at the same time.

At start everything works correctly but after some time, the persistent
views read requests starts to take more and more time (after something
like 1 or 2 days), until they timeout and our cassandra cluster starts
going crazy consuming 100% CPU on all nodes (presumably because reads
takes so long that they are queued). Our data set is around 80MB, which
is very small (running on powerful hardware with SSDs and lots of RAM),
which should be essentially fully in RAM.

I'm thinking this is related to static columns and tombstones, or the
way compaction is run.

So I was wondering if anyone had live production tips to share (even
answers like "it works like a charm with X or Y workload") would help
comfort me.

Many thanks for any answers!
-- 
Brice Figureau
My Blog: http://www.masterzen.fr/

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