On Thu, Feb 3, 2011 at 3:59 PM, Jeffrey Wang wrote:
> To be a little more clear, a simplified version of what I'm asking is:
>
> Let's say you add 1K columns with timestamps 1 to 1000. Then, at an
> arbitrarily distant point in the future, if you call remove on that CF with
> timestamp 500 (so t
essage-
From: sc...@scode.org [mailto:sc...@scode.org] On Behalf Of Peter Schuller
Sent: Thursday, February 03, 2011 8:48 AM
To: user@cassandra.apache.org
Subject: Re: rolling window of data
> The correct way to accomplish what you describe is the new (in 0.7)
> per-column TTL. Simply set thi
@scode.org [mailto:sc...@scode.org] On Behalf Of Peter Schuller
Sent: Thursday, February 03, 2011 8:48 AM
To: user@cassandra.apache.org
Subject: Re: rolling window of data
> The correct way to accomplish what you describe is the new (in 0.7)
> per-column TTL. Simply set this to 60 * 60 * 24 * 90
> The correct way to accomplish what you describe is the new (in 0.7)
> per-column TTL. Simply set this to 60 * 60 * 24 * 90 (90 day's worth of
> seconds) and your columns will magically disappear after that length of
> time.
Although that assumes it's okay to loose data or that there is some
oth
thelastpickle.com]
> *Sent:* Wednesday, February 02, 2011 9:21 PM
> *To:* user@cassandra.apache.org
> *Subject:* Re: rolling window of data
>
>
>
> This project may provide some inspiration for you
> https://github.com/thobbs/logsandra
>
>
>
> Not sure if it has a
user@cassandra.apache.org
Subject: Re: rolling window of data
This project may provide some inspiration for you
https://github.com/thobbs/logsandra
Not sure if it has a rolling window, if you find out let me know :)
Aaron
On 03 Feb, 2011,at 06:08 PM, Jeffrey Wang wrote:
Hi,
We're trying to use Cassan
This project may provide some inspiration for you https://github.com/thobbs/logsandraNot sure if it has a rolling window, if you find out let me know :) AaronOn 03 Feb, 2011,at 06:08 PM, Jeffrey Wang wrote:Hi, Were trying to use Cassandra 0.7 to store a rolling window of log data (e.g. last 90 da
