Hey Bowen
I agree it's better to have smaller servers in general, this is the smaller
servers version :)
In this case, I wouldn't say the data model is bad, and we certainly do our
best to tune everything so less hardware is needed.
It's just that the data and amount of requests/s is very big to
May I ask why do you scale your Cassandra cluster vertically instead of
horizontally as recommended?
I'm asking because I had dealt with a vertically scaled cluster before.
It was because they had query performance issue and blamed the hardware
wasn't strong enough. Scaling vertically had
Yes. 192gb.
On Thu, Mar 11, 2021 at 10:29 AM Kane Wilson wrote:
> That is a very large heap. I presume you are using G1GC? How much memory
> do your servers have?
>
> raft.so - Cassandra consulting, support, managed services
>
> On Thu., 11 Mar. 2021, 18:29 Gil Ganz, wrote:
>
>> I always
That is a very large heap. I presume you are using G1GC? How much memory
do your servers have?
raft.so - Cassandra consulting, support, managed services
On Thu., 11 Mar. 2021, 18:29 Gil Ganz, wrote:
> I always prefer to do decommission, but the issue here is these servers
> are on-prem, and
I always prefer to do decommission, but the issue here is these servers
are on-prem, and disks die from time to time.
It's a very large cluster, in multiple datacenters around the world, so it
can take some time before we have a replacement, so we usually need to run
removenode in such cases.
It's unlikely to help in this case, but you should be using nodetool
decommission on the node you want to remove rather than removenode from
another node (and definitely don't force removal)
native_transport_max_concurrent_requests_in_bytes defaults to 10% of the
heap, which I suppose depending
Hey,
We have a 3.11.9 cluster (recently upgraded from 2.1.14), and after the
upgrade we have an issue when we remove a node.
The moment I run the removenode command, 3 servers in the same dc start to
have a high amount of pending native-transport-requests (getting to around
1M) and clients are
