>>If the replication factor is 2, then everything is written twice. So
>>your throughput is cut in half.
throughput of new inserts is cut in half right? I think I was thinking about
capacity in more general terms from the node's perspective. The node has the
ability to write so many operations per
About this linear scaling of throughput(with keys perfectly distributed +
requests balanced over all nodes):
I would assume that this is not the case for small number of nodes because
starting from 2 nodes onwards a part of the requests have to be handled by a
proxy node + the actual node responsib
On Tue, May 11, 2010 at 5:56 PM, Mark Greene wrote:
> I was under the impression from what I've seen talked about on this list
> (perhaps I'm wrong here) that given the write throughput of one node in a
> cluster (again assuming each node has a given throughput and the same
> config) that you woul
I was under the impression from what I've seen talked about on this list
(perhaps I'm wrong here) that given the write throughput of one node in a
cluster (again assuming each node has a given throughput and the same
config) that you would simply multiply that throughput by the number of
nodes you
On Tue, May 11, 2010 at 11:10 AM, Bill de hOra wrote:
> I know this is highly simplified take on things (ie no consideration for
> reads or quorum), I'm just trying to understand what the implication of
> replication is on write scalability. Intuitively it would seem actual write
> capacity is tot
Mark Greene wrote:
If you have for example, your replication factor equal to the total
amount of nodes in the ring, I suspect you will hit a brick wall pretty
soon.
Right :) So if we said there was 100 nodes at 5K wps with R=2, then
would that suggest the cluster can support 250K wps?
Again
> The biggest impact on your write performance will most likely be the
> consistency level of your writes. In other words, how many nodes you want to
> wait for before you acknowledge the write back to the client.
I believe the consistency level is only expected to have a significant
impact on lat
If you have for example, your replication factor equal to the total amount
of nodes in the ring, I suspect you will hit a brick wall pretty soon.
The biggest impact on your write performance will most likely be the
consistency level of your writes. In other words, how many nodes you want to
wait f
If I had 10 Cassandra nodes each with a write capacity of 5K per second
and a replication factor of 2, would that mean the expected write
capacity of the system would be ~25K writes per second because the nodes
are also serving other nodes and not just clients?
I know this is highly simplified
