As title, I want to utilize cassandra's advantages in maximum but I don't
know how.
So far, I know I can improve performance by execute_async and
batchstatement.
When I want more nodes scalability, just add server and modify some config
files.
Are there ways to help me use cassandra-python bette
Hi Anil,
In the cassandra.yaml file on your new node in DC2, is the IP address for
the seeds set to the seed node in DC1?
Best,
John
On Wed, Dec 11, 2019 at 11:09 PM Anil Kumar Ganipineni <
akganipin...@adaequare.com> wrote:
> Hi All,
>
>
>
> We have 3 node cluster on datacentre DC1 and below i
Metrics are exposed via JMX. You can use something like jmxtrans or collectd
with the jmx plugin to capture metrics per-node and route them to whatever you
use to aggregate metrics.
From: Fred Habash
Reply-To: "user@cassandra.apache.org"
Date: Thursday, December 12, 2019 at 9:38 AM
To: "user@
For rough estimate, I’ve seen the following pattern.
Sudo code
Do queries by token range at random.
Select asjson * from table;
Take the length of json string of each row.
Perform average.
Cheers.
From: Ayub M
Reply-To: "user@cassandra.apache.org"
Date: Wednesday, December 11, 2019 at 11:17
Hi all ...
We are facing a scenario where we have to measure for some metrics on a per
connection or client basis. For example. count of read/write request by
client IP/host/user/program. We want to know the source of C* requests for
budgeting, capacity planing, or charge-backs.
We are running 2.2
On 12/12/2019 06.25, lampahome wrote:
Jon Haddad mailto:j...@jonhaddad.com>> 於
2019年12月12日 週四 上午12:42寫道：
I'm not sure how you're measuring this - could you share your
benchmarking code?
s the details of theri?
start = time.time()
for i in range(40960):
prep = session.
