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From Jonathan Ellis <>
Subject Re: Dont bogart that connection my friend
Date Sat, 04 Dec 2010 04:44:23 GMT
That makes sense, but this shouldn't make requests last for the
timeout duration -- at quorum, it should be responding to the client
as soon as it gets that second-fastest reply.  If I'm understanding
right that this was making the response to the client block until the
overwhelmed node timed out, that's a bug.  What version of Cassandra
is this?

On Fri, Dec 3, 2010 at 7:27 PM, Daniel Doubleday
<> wrote:
> Yes.
> I thought that would make sense, no? I guessed that the quorum read forces
> the slowest of the 3 nodes to keep the pace of the faster ones. But it cant.
> No matter how small the performance diff is. So it will just fill up.
> Also when saying 'practically dead' and 'never recovers' I meant for the
> time I kept the reads up. As soon as I stopped the scan it recovered. It
> just was not able to recover during the load because for that it would have
> to become faster that the other nodes and with full queues that just
> wouldn't happen.
> By changing the node for every read I would hit the slower node every couple
> of reads. This forced the client to wait for the slower node.
> I guess to change that behavior you would need to use something like dynamic
> snitch and ask only as many peer nodes as necessary to satisfy quorum and
> only ask other nodes when reads fail. But that would probably increase
> latency and cause whatever other problems. Since you probably don't want to
> run the cluster at a load at which the weakest node of a replication group
> can't keep up I don't think this is an issue at all.
> Just wanted to prevent others shooting their own foot as I did.
> On 03.12.10 23:36, Jonathan Ellis wrote:
>> Am I understanding correctly that you had all connections going to one
>> cassandra node, which caused one of the *other* nodes to die, and
>> spreading the connections around the cluster fixed it?
>> On Fri, Dec 3, 2010 at 4:00 AM, Daniel Doubleday
>> <>  wrote:
>>> Hi all
>>> I have found an anti pattern the other day which I wanted to share,
>>> although its pretty special case.
>>> Special case because our production cluster is somewhat strange: 3
>>> servers, rf = 3. We do consistent reads/writes with quorum.
>>> I did a long running read series (loads of reads as fast as I can) with
>>> one connection. Since all queries could be handled by that node the overall
>>> latency is determined by its own and the fastest second node (cause the
>>> quorum is satisfied with 2 reads). What will happen than is that after a
>>> couple of minutes one of the other two nodes will go in 100% io wait and
>>> will drop most of its read messages. Leaving it practically dead while the
>>> other 2 nodes keep responding at an average of ~10ms. The node that died was
>>> only a little slower ~13ms average but it will inevitably queue up messages.
>>> Average response time increases to timeout (10 secs) flat. It never
>>> recovers.
>>> It happened all the time. And it wasn't the same node that would die.
>>> The solution was that I return the connection to the pool and get a new
>>> one for every read to balance the load on the client side.
>>> Obviously this will not happen in a cluster where the percentage of all
>>> rows on one node is enough. But the same thing will probably happen if you
>>> scan by continuos tokens (meaning that you will read from the same node a
>>> long time).
>>> Cheers,
>>> Daniel Doubleday
>>>, Berlin

Jonathan Ellis
Project Chair, Apache Cassandra
co-founder of Riptano, the source for professional Cassandra support

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