On Dec 16, 2010, at 11:35 PM, Wayne wrote:
> I have read that read latency goes up with the total data size, but to what
> degree should we expect a degradation in performance? What is the "normal"
> read latency range if there is such a thing for a small slice of scol/cols?
> Can we really pu
Hi all
just wanted to share a simple way we use to monitor cassandra internals with
zabbix.
We use a minimal http server which reads jmx and shows returns them in a
property form. Thats read by zabbix every 30secs.
That's started together with cassandra:
https://gist.github.com/744761
Output
We have been testing Cassandra for 6+ months and now have 10TB in 10 nodes
with rf=3. It is 100% real data generated by real code in an almost
production level mode. We have gotten past all our stability issues,
java/cmf issues, etc. etc. now to find the one thing we "assumed" may not be
true. Our
On Fri, Dec 17, 2010 at 8:21 AM, Wayne wrote:
> We have been testing Cassandra for 6+ months and now have 10TB in 10 nodes
> with rf=3. It is 100% real data generated by real code in an almost
> production level mode. We have gotten past all our stability issues,
> java/cmf issues, etc. etc. now t
On Fri, Dec 17, 2010 at 5:48 AM, Daniel Doubleday
wrote:
> Hi all
> just wanted to share a simple way we use to monitor cassandra internals with
> zabbix.
> We use a minimal http server which reads jmx and shows returns them in a
> property form. Thats read by zabbix every 30secs.
> That's started
Below are some answers to your questions. We have wide rows (what we like
about Cassandra) and I wonder if that plays into this? We have been loading
1 keyspace in our cluster heavily in the last week so it is behind in
compaction for that keyspace. I am not even looking at those read latency
times
I have a data model where each read and each write will read and write all data
for a given key. Thus, does it make more sense to separate the data into
multiple columns, or does it make more sense to store all data in a single
column?
My understanding is that breaking data into multiple colum
> the purpose of your thread is: How far are you away from being I/O
> bound (say in terms of % utilization - last column of iostat -x 1 -
> assuming you don't have a massive RAID underneath the block device)
No my cheap boss didn't want to by me a stack of these
http://www.ocztechnology.com/prod
The performance difference is negligible and the other drawbacks are
significant, e.g., losing the ability to create indexes on a column.
On Fri, Dec 17, 2010 at 11:49 AM, Ericson, Doug
wrote:
> I have a data model where each read and each write will read and write
> all data for a given key. T
> How much ram is dedicated to cassandra? 12gb heap (probably too high?)
> What is the hit rate of caches? high, 90%+
If your heap allows it I would definitely try to give more ram for fs cache.
Your not using row cache so I don't see what cassandra would gain from so much
memory.
A question ab
On Fri, Dec 17, 2010 at 12:26 PM, Daniel Doubleday
wrote:
> How much ram is dedicated to cassandra? 12gb heap (probably too high?)
> What is the hit rate of caches? high, 90%+
>
> If your heap allows it I would definitely try to give more ram for fs cache.
> Your not using row cache so I don't see
Is anyone using cassandra with monit? All I have is this embarrassing bit
of monit config:
check process cassandra with pidfile /var/run/cassandra.pid
start program = "/etc/init.d/cassandra start" with timeout 60 seconds
stop program = "/etc/init.d/cassandra stop"
if failed port 9160 type
Seems like the problem there after I upgrade to "OpenJDK Runtime
Environment (IcedTea6 1.9.2)". So it is not related to the bug I reported
two days ago.
Can somebody else share some info with us? What's the java environment you
used? Is it stable for long-lived cassandra instances?
best regards,
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