i would expect row per log entry will be substantially faster to query.
2010/7/5 Bartosz Kołodziej :
> I have big and dynamic number of loggers.
> According to this https://issues.apache.org/jira/browse/CASSANDRA-16 2GB
> size limit is no longer an issue in 0.7 (btw mnesia has similar issue ;-) )
Perfectly right Nick.
So i suppose that If I want to keep RandomPartionner ( I understand this is
the best for high volume applications), I could design database like this :
A CF with key = UUID will contain log message details => allows me to split
real data evenly between nodes
A CF with key
I have big and dynamic number of loggers.
According to this https://issues.apache.org/jira/browse/CASSANDRA-16 2GB
size limit is no longer an issue in 0.7 (btw mnesia has similar issue ;-) )
I think I can go with svn release at the moment.
Solving this by composite key (logger+timestamp) would re
No. The right approach with cassandra is to model your queries,
rather than your relationships.
On Sun, Jul 4, 2010 at 5:55 PM, StiPh wrote:
>
> Can you please tell whether there is a cassandra tool modeling data, which
> provides a standard way to define the data and relations between them,
> s
You don't want to have all the data from a single logger in a single
row b/c of the 2GB size limit.
If you have a small, static number of loggers you could create one CF
per logger and use timestamp as the row key. Otherwise use a
composite key (logger+timestamp) as the key in a single CF.
2010/
On Sun, 2010-07-04 at 13:14 +0100, Bill de hÓra wrote:
> This person's understanding is that Facebook 'no longer contributes to
> nor uses Cassandra.':
>
> http://redmonk.com/sogrady/2010/05/17/beyond-cassandra/
Last I heard, Facebook was still using Cassandra for what they had
always used it for
If you'd like to get it included in the Cassandra tree, submitting it
to https://issues.apache.org/jira/browse/CASSANDRA-292 would be a good
start.
On Sun, Jul 4, 2010 at 2:54 PM, Kochheiser,Todd W - TOK-DITT-1
wrote:
> Apache’s Procrun is a “real windows service” similar to the one from Tanuki
>
