Message366518
| Author |
carljm |
| Recipients |
carljm, corona10, dino.viehland, eelizondo, gregory.p.smith, nascheme, pablogsal, pitrou, shihai1991, steve.dower, tim.peters, vstinner |
| Date |
2020年04月15日.13:58:11 |
| SpamBayes Score |
-1.0 |
| Marked as misclassified |
Yes |
| Message-id |
<1586959092.06.0.90623757013.issue40255@roundup.psfhosted.org> |
| In-reply-to |
| Content |
> Is it a common use case to load big data and then fork to use preloaded data?
A lot of the "big data" in question here is simply lots of Python module/class/code objects resulting from importing lots of Python modules.
And yes, this "pre-fork" model is extremely common for serving Python web applications; it is the way most Python web application servers work. We already have an example in this thread of another large Python web application (YouTube) that had similar needs and considered a similar approach. |
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History
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| Date |
User |
Action |
Args |
| 2020年04月15日 13:58:12 | carljm | set | recipients:
+ carljm, tim.peters, nascheme, gregory.p.smith, pitrou, vstinner, dino.viehland, steve.dower, corona10, pablogsal, eelizondo, shihai1991 |
| 2020年04月15日 13:58:12 | carljm | set | messageid: <1586959092.06.0.90623757013.issue40255@roundup.psfhosted.org> |
| 2020年04月15日 13:58:12 | carljm | link | issue40255 messages |
| 2020年04月15日 13:58:11 | carljm | create |
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