out of curiosity, do you think we can get this with mmap ? that will give
the users flexibility to adjust how much they want to page into main memory.



On Sat, Aug 25, 2012 at 8:18 AM, Chad Kouse <[email protected]> wrote:

>  We actually use beanstalkd to queue up jobs to be written to disk (event
> logs to eventually be processed with Hadoop) - sounds sorta similar to what
> you are describing. Maybe just writing to flat files (or in our case -
> queuing in beanstalkd to be written to a flat file every few seconds) will
> be sufficient.
>
> We use beanstalkd in between to effectively make writing to a flat file a
> non blocking call in our application.
>
> --
> Chad Kouse
>
> On Friday, August 24, 2012 at 5:54 PM, Keith Rarick wrote:
>
> On Fri, Aug 24, 2012 at 10:09 AM, David Leimbach <[email protected]>
> wrote:
>
> I don't need it to be in RAM if it's on disk, and RAM is precious on these
> nodes.
>
>
> You should probably not be using beanstalkd for this.
>
> Keeping all jobs in memory is pretty fundamental to
> how beanstalkd is intended to work. If you have more
> data than fits in memory, consider using a database
> such as postgres instead.
>
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