> When processing data in parallel you will use up as muchmemoryas
> many datasets you are processing at any given time.
Worker processes eats 2-4 times more than I pass to them.
>If you need to
> reducememoryuse then you need to start fewer processes and use some
> mechanism to distribute the wo
On Sep 26, 4:52 am, redbaron <[EMAIL PROTECTED]> wrote:
> How could I avoid of storing them? I need something to check does it
> ready or not and retrieve results if ready. I couldn't see the way to
> achieve same result without storing asyncs set.
It all depends on what you are trying to do. The
On 26 сент, 17:03, MRAB <[EMAIL PROTECTED]> wrote:
> On Sep 26, 9:52 am, redbaron <[EMAIL PROTECTED]> wrote:
>
> > On 26 ÓÅÎÔ, 04:20, Istvan Albert <[EMAIL PROTECTED]> wrote:
>
> > > On Sep 25, 8:40šam, "Max Ivanov" <[EMAIL PROTECTED]> wrote:
>
> > > > At any time in main process there are shouldn'
On Sep 26, 9:52 am, redbaron <[EMAIL PROTECTED]> wrote:
> On 26 ÓÅÎÔ, 04:20, Istvan Albert <[EMAIL PROTECTED]> wrote:
>
> > On Sep 25, 8:40šam, "Max Ivanov" <[EMAIL PROTECTED]> wrote:
>
> > > At any time in main process there are shouldn't be no more than two
> > > copies of data
> > > (one origin
On 26 сент, 04:20, Istvan Albert <[EMAIL PROTECTED]> wrote:
> On Sep 25, 8:40 am, "Max Ivanov" <[EMAIL PROTECTED]> wrote:
>
> > At any time in main process there are shouldn't be no more than two copies
> > of data
> > (one original data and one result).
>
> From the looks of it you are storing a
On Sep 25, 8:40 am, "Max Ivanov" <[EMAIL PROTECTED]> wrote:
> At any time in main process there are shouldn't be no more than two copies of
> data
> (one original data and one result).
>From the looks of it you are storing a lots of references to various
copies of your data via the async set.
--
