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pythondev | help | so you can send in a model representation via json from your client | 2017-06-21T08:06:56.874251 | Meg | pythondev_help_Meg_2017-06-21T08:06:56.874251 | 1,498,032,416.874251 | 82,603 |
pythondev | help | and it will deserialize it to a model instance which you can do more stuff with | 2017-06-21T08:07:17.879131 | Meg | pythondev_help_Meg_2017-06-21T08:07:17.879131 | 1,498,032,437.879131 | 82,604 |
pythondev | help | and then sending data back out to the client, it will serialize models to JSON | 2017-06-21T08:07:33.883134 | Meg | pythondev_help_Meg_2017-06-21T08:07:33.883134 | 1,498,032,453.883134 | 82,605 |
pythondev | help | ok nice, and just ajax post to the url view which receives the data | 2017-06-21T08:08:08.891465 | Holli | pythondev_help_Holli_2017-06-21T08:08:08.891465 | 1,498,032,488.891465 | 82,606 |
pythondev | help | correct | 2017-06-21T08:08:22.894910 | Meg | pythondev_help_Meg_2017-06-21T08:08:22.894910 | 1,498,032,502.89491 | 82,607 |
pythondev | help | or get, put, etc | 2017-06-21T08:08:26.895940 | Meg | pythondev_help_Meg_2017-06-21T08:08:26.895940 | 1,498,032,506.89594 | 82,608 |
pythondev | help | superb thanks man | 2017-06-21T08:08:35.897910 | Holli | pythondev_help_Holli_2017-06-21T08:08:35.897910 | 1,498,032,515.89791 | 82,609 |
pythondev | help | :thumbsup: | 2017-06-21T08:08:40.899155 | Meg | pythondev_help_Meg_2017-06-21T08:08:40.899155 | 1,498,032,520.899155 | 82,610 |
pythondev | help | :100: | 2017-06-21T08:08:51.901851 | Holli | pythondev_help_Holli_2017-06-21T08:08:51.901851 | 1,498,032,531.901851 | 82,611 |
pythondev | help | The ansible I linked has a `role/nginx` that has the nginx setup steps :) | 2017-06-21T08:42:32.433269 | Beula | pythondev_help_Beula_2017-06-21T08:42:32.433269 | 1,498,034,552.433269 | 82,612 |
pythondev | help | I'm evaluating celery/redis alternatives for task queuing and scheduling. Someone mentioned redislite and apscheduler. Does apscheduler do task queuing or just scheduling? Also, any other alternatives? | 2017-06-21T09:09:14.933506 | Rolland | pythondev_help_Rolland_2017-06-21T09:09:14.933506 | 1,498,036,154.933506 | 82,613 |
pythondev | help | This is being used for a Django environment. | 2017-06-21T09:09:21.936149 | Rolland | pythondev_help_Rolland_2017-06-21T09:09:21.936149 | 1,498,036,161.936149 | 82,614 |
pythondev | help | `concurrent.futures.ProcessPoolExecutor` is good at queuing when you don't need ETA scheduling | 2017-06-21T09:11:14.974243 | Collette | pythondev_help_Collette_2017-06-21T09:11:14.974243 | 1,498,036,274.974243 | 82,615 |
pythondev | help | So if I'm just firing off a task (not scheduling), that would be a good way to go? | 2017-06-21T09:15:32.063476 | Rolland | pythondev_help_Rolland_2017-06-21T09:15:32.063476 | 1,498,036,532.063476 | 82,616 |
pythondev | help | I like that. | 2017-06-21T09:15:38.065593 | Rolland | pythondev_help_Rolland_2017-06-21T09:15:38.065593 | 1,498,036,538.065593 | 82,617 |
pythondev | help | Redis-lite would be if you kept celery to make it easier to distribute, otherwise APScheduler could call manage.py commands in your app and be deadsimple | 2017-06-21T09:18:33.126491 | Beula | pythondev_help_Beula_2017-06-21T09:18:33.126491 | 1,498,036,713.126491 | 82,618 |
pythondev | help | ah. gotcha. | 2017-06-21T09:19:58.157093 | Rolland | pythondev_help_Rolland_2017-06-21T09:19:58.157093 | 1,498,036,798.157093 | 82,619 |
pythondev | help | I was looking at if there was maybe en embedded task queue manager, but I'm not coming up with much. APScheduler looks to be a good route. | 2017-06-21T09:21:10.182734 | Rolland | pythondev_help_Rolland_2017-06-21T09:21:10.182734 | 1,498,036,870.182734 | 82,620 |
pythondev | help | Can you fire off tasks immediately without scheduling them using apscheduler? | 2017-06-21T09:21:42.194462 | Rolland | pythondev_help_Rolland_2017-06-21T09:21:42.194462 | 1,498,036,902.194462 | 82,621 |
pythondev | help | Yeah I think the decorator returns the original function. So you could just call it directly iirc | 2017-06-21T09:25:15.271654 | Beula | pythondev_help_Beula_2017-06-21T09:25:15.271654 | 1,498,037,115.271654 | 82,622 |
pythondev | help | Interesting thought, embedded task queue manager. I think in many cases someone would just use Cron or windows scheduler | 2017-06-21T09:26:10.291856 | Beula | pythondev_help_Beula_2017-06-21T09:26:10.291856 | 1,498,037,170.291856 | 82,623 |
pythondev | help | True. | 2017-06-21T09:29:24.364350 | Rolland | pythondev_help_Rolland_2017-06-21T09:29:24.364350 | 1,498,037,364.36435 | 82,624 |
pythondev | help | <@Rolland> we're also using huey | 2017-06-21T09:38:31.575313 | Vada | pythondev_help_Vada_2017-06-21T09:38:31.575313 | 1,498,037,911.575313 | 82,625 |
pythondev | help | I was actually just looking at that one. Can you start it right from django? | 2017-06-21T09:39:05.587549 | Rolland | pythondev_help_Rolland_2017-06-21T09:39:05.587549 | 1,498,037,945.587549 | 82,626 |
pythondev | help | <@Vada> from an author of Peewee? | 2017-06-21T09:44:28.711939 | Suellen | pythondev_help_Suellen_2017-06-21T09:44:28.711939 | 1,498,038,268.711939 | 82,627 |
pythondev | help | <https://github.com/coleifer/huey> | 2017-06-21T09:45:53.745451 | Vada | pythondev_help_Vada_2017-06-21T09:45:53.745451 | 1,498,038,353.745451 | 82,628 |
pythondev | help | not sure if they authored peewee but maybe | 2017-06-21T09:46:02.749104 | Vada | pythondev_help_Vada_2017-06-21T09:46:02.749104 | 1,498,038,362.749104 | 82,629 |
pythondev | help | And what do you mean by start it from django? | 2017-06-21T09:46:10.752285 | Vada | pythondev_help_Vada_2017-06-21T09:46:10.752285 | 1,498,038,370.752285 | 82,630 |
pythondev | help | Well, I'd like to not have to run and manage extra processes. | 2017-06-21T09:46:46.766691 | Rolland | pythondev_help_Rolland_2017-06-21T09:46:46.766691 | 1,498,038,406.766691 | 82,631 |
pythondev | help | it will use workers like celery | 2017-06-21T09:47:37.786961 | Vada | pythondev_help_Vada_2017-06-21T09:47:37.786961 | 1,498,038,457.786961 | 82,632 |
pythondev | help | ah. ok. | 2017-06-21T09:48:11.799955 | Rolland | pythondev_help_Rolland_2017-06-21T09:48:11.799955 | 1,498,038,491.799955 | 82,633 |
pythondev | help | hello everyone, I've requirement where dataset is large like 10 millions records, i want to use django rest framework in order to provide that data.
Question : which one is the best ORM which is efficient for large datasets?
1. Django ORM
2. SQL alchemy
| 2017-06-21T10:47:35.337872 | Romona | pythondev_help_Romona_2017-06-21T10:47:35.337872 | 1,498,042,055.337872 | 82,634 |
pythondev | help | SQLalchemy is more performant especially if you're using Core. | 2017-06-21T10:48:45.369425 | Dave | pythondev_help_Dave_2017-06-21T10:48:45.369425 | 1,498,042,125.369425 | 82,635 |
pythondev | help | <@Dave> thanks for the suggestion. I've those data on microsoft SQL server. | 2017-06-21T10:49:54.400579 | Romona | pythondev_help_Romona_2017-06-21T10:49:54.400579 | 1,498,042,194.400579 | 82,636 |
pythondev | help | would like to move to postgresql. | 2017-06-21T10:50:40.421233 | Romona | pythondev_help_Romona_2017-06-21T10:50:40.421233 | 1,498,042,240.421233 | 82,637 |
pythondev | help | yeah, will be cheaper in the long run | 2017-06-21T10:51:13.435676 | Meg | pythondev_help_Meg_2017-06-21T10:51:13.435676 | 1,498,042,273.435676 | 82,638 |
pythondev | help | no sql server license :slightly_smiling_face: | 2017-06-21T10:51:19.438332 | Meg | pythondev_help_Meg_2017-06-21T10:51:19.438332 | 1,498,042,279.438332 | 82,639 |
pythondev | help | <@Romona> <http://docs.sqlalchemy.org/en/latest/faq/performance.html> | 2017-06-21T10:51:23.440036 | Dave | pythondev_help_Dave_2017-06-21T10:51:23.440036 | 1,498,042,283.440036 | 82,640 |
pythondev | help | how about django ORM? Not good from performance point of view? | 2017-06-21T10:52:56.482672 | Romona | pythondev_help_Romona_2017-06-21T10:52:56.482672 | 1,498,042,376.482672 | 82,641 |
pythondev | help | if you use sqlalchemy you can reflect your mssql database and then create its exact schema in postgres. | 2017-06-21T10:53:00.484897 | Johana | pythondev_help_Johana_2017-06-21T10:53:00.484897 | 1,498,042,380.484897 | 82,642 |
pythondev | help | and you could use sqlacodegen to create the models. | 2017-06-21T10:53:48.506810 | Johana | pythondev_help_Johana_2017-06-21T10:53:48.506810 | 1,498,042,428.50681 | 82,643 |
pythondev | help | i've done this very thing to move a .net application to python. | 2017-06-21T10:54:18.520726 | Johana | pythondev_help_Johana_2017-06-21T10:54:18.520726 | 1,498,042,458.520726 | 82,644 |
pythondev | help | I think "performance on large data sets" and "ORM" are mutually exclusive. ORMs exist for development convenience, not high performance. | 2017-06-21T10:54:22.522493 | Gabriele | pythondev_help_Gabriele_2017-06-21T10:54:22.522493 | 1,498,042,462.522493 | 82,645 |
pythondev | help | ^ | 2017-06-21T10:54:29.525442 | Meg | pythondev_help_Meg_2017-06-21T10:54:29.525442 | 1,498,042,469.525442 | 82,646 |
pythondev | help | and furthermore, you should use pagination and such to actually retrieve the data | 2017-06-21T10:54:42.531611 | Meg | pythondev_help_Meg_2017-06-21T10:54:42.531611 | 1,498,042,482.531611 | 82,647 |
pythondev | help | That's not to say you _can't_ get good performance - you can, if you know the ORM well and/or you have access to low level commands like SQLAlchemy Core | 2017-06-21T10:54:45.532959 | Gabriele | pythondev_help_Gabriele_2017-06-21T10:54:45.532959 | 1,498,042,485.532959 | 82,648 |
pythondev | help | Ultimate plan is this only. Move web API .Net to django API. | 2017-06-21T10:54:53.536688 | Romona | pythondev_help_Romona_2017-06-21T10:54:53.536688 | 1,498,042,493.536688 | 82,649 |
pythondev | help | But they're not designed for that purpose, and will probably impede you somewhat | 2017-06-21T10:55:03.541345 | Gabriele | pythondev_help_Gabriele_2017-06-21T10:55:03.541345 | 1,498,042,503.541345 | 82,650 |
pythondev | help | and there are times you will have to write and execute raw sql | 2017-06-21T10:55:21.549778 | Meg | pythondev_help_Meg_2017-06-21T10:55:21.549778 | 1,498,042,521.549778 | 82,651 |
pythondev | help | sqlalchemy's orm does a pretty good job in general. | 2017-06-21T10:55:23.550854 | Johana | pythondev_help_Johana_2017-06-21T10:55:23.550854 | 1,498,042,523.550854 | 82,652 |
pythondev | help | It depends a lot on the nature of the querying. If you have good indexing set up and you're only working with a few records at a time, the ORM usually doesn't care if there are 10, 10000, or 1000000 rows in a DB | 2017-06-21T10:56:47.589390 | Gabriele | pythondev_help_Gabriele_2017-06-21T10:56:47.589390 | 1,498,042,607.58939 | 82,653 |
pythondev | help | But if you're doing "big data" stuff where you routinely hit large amounts of the table... that's a different matter | 2017-06-21T10:57:07.598358 | Gabriele | pythondev_help_Gabriele_2017-06-21T10:57:07.598358 | 1,498,042,627.598358 | 82,654 |
pythondev | help | reducing joins helps a lot too | 2017-06-21T10:57:17.602975 | Winnifred | pythondev_help_Winnifred_2017-06-21T10:57:17.602975 | 1,498,042,637.602975 | 82,655 |
pythondev | help | yup, ORM joins are often nowhere near as efficient as raw SQL joins | 2017-06-21T10:57:41.613681 | Gabriele | pythondev_help_Gabriele_2017-06-21T10:57:41.613681 | 1,498,042,661.613681 | 82,656 |
pythondev | help | one thing I like about django is you can print out the sql query for a given db access | 2017-06-21T10:58:33.637625 | Meg | pythondev_help_Meg_2017-06-21T10:58:33.637625 | 1,498,042,713.637625 | 82,657 |
pythondev | help | and then look at it to see if you can improve it | 2017-06-21T10:58:43.641838 | Meg | pythondev_help_Meg_2017-06-21T10:58:43.641838 | 1,498,042,723.641838 | 82,658 |
pythondev | help | SQLAlchemy can do this too! | 2017-06-21T10:58:46.643400 | Suellen | pythondev_help_Suellen_2017-06-21T10:58:46.643400 | 1,498,042,726.6434 | 82,659 |
pythondev | help | by django, I mean the django framework, not the ORM | 2017-06-21T10:59:09.653900 | Meg | pythondev_help_Meg_2017-06-21T10:59:09.653900 | 1,498,042,749.6539 | 82,660 |
pythondev | help | since it is possible to replace the default ORM with sqlalchemy (though I've never done this), but the API is largely the same | 2017-06-21T10:59:39.668295 | Meg | pythondev_help_Meg_2017-06-21T10:59:39.668295 | 1,498,042,779.668295 | 82,661 |
pythondev | help | yea, you can mix sqlalchemy and django orm. it's all just python at the end of the day. however, if you swap out one for the other you lose all the benefits of the django orm and how it integrates with the framework. | 2017-06-21T11:03:16.774301 | Johana | pythondev_help_Johana_2017-06-21T11:03:16.774301 | 1,498,042,996.774301 | 82,662 |
pythondev | help | If performance is a factor than use SQLAlchemy core to work on this large data set. If deadlines are more of a factor that use Django ORM since you're already use DRF. Just make sure to use eager loading on relationships where you can to optimize queries.
<http://ses4j.github.io/2015/11/23/optimizing-slow-django-rest-framework-performance/> | 2017-06-21T11:08:04.904795 | Dave | pythondev_help_Dave_2017-06-21T11:08:04.904795 | 1,498,043,284.904795 | 82,663 |
pythondev | help | any good tutorials you all would recommend on packaging for somebody who's never done it? | 2017-06-21T11:25:24.365386 | Willena | pythondev_help_Willena_2017-06-21T11:25:24.365386 | 1,498,044,324.365386 | 82,664 |
pythondev | help | how can i do this in python | 2017-06-21T12:43:10.322890 | Norris | pythondev_help_Norris_2017-06-21T12:43:10.322890 | 1,498,048,990.32289 | 82,665 |
pythondev | help | why don't you create store proc? | 2017-06-21T12:44:15.347345 | Romona | pythondev_help_Romona_2017-06-21T12:44:15.347345 | 1,498,049,055.347345 | 82,666 |
pythondev | help | how can i do that | 2017-06-21T12:45:16.370807 | Norris | pythondev_help_Norris_2017-06-21T12:45:16.370807 | 1,498,049,116.370807 | 82,667 |
pythondev | help | ? | 2017-06-21T12:45:18.371649 | Norris | pythondev_help_Norris_2017-06-21T12:45:18.371649 | 1,498,049,118.371649 | 82,668 |
pythondev | help | <@Norris>, can you give more context around the error? Things like an overview of what you're trying to do, your input, the expected output and the current error you're receiving. | 2017-06-21T12:48:46.450595 | Winnifred | pythondev_help_Winnifred_2017-06-21T12:48:46.450595 | 1,498,049,326.450595 | 82,669 |
pythondev | help | in the comand like i get this error | 2017-06-21T12:49:24.464172 | Norris | pythondev_help_Norris_2017-06-21T12:49:24.464172 | 1,498,049,364.464172 | 82,670 |
pythondev | help | File "dev.py", line 18
SyntaxError: Non-ASCII character '\xc3' in file dev.py on line 19, but no encoding declared; see <http://python.org/dev/peps/pep-0263/> for details | 2017-06-21T12:49:25.464860 | Norris | pythondev_help_Norris_2017-06-21T12:49:25.464860 | 1,498,049,365.46486 | 82,671 |
pythondev | help | its a valid sql code | 2017-06-21T12:49:40.470281 | Norris | pythondev_help_Norris_2017-06-21T12:49:40.470281 | 1,498,049,380.470281 | 82,672 |
pythondev | help | and also valid python code | 2017-06-21T12:50:02.478682 | Norris | pythondev_help_Norris_2017-06-21T12:50:02.478682 | 1,498,049,402.478682 | 82,673 |
pythondev | help | what version of python are you using? | 2017-06-21T12:53:21.553257 | Winnifred | pythondev_help_Winnifred_2017-06-21T12:53:21.553257 | 1,498,049,601.553257 | 82,674 |
pythondev | help | <@Winnifred> its 2.7.12 | 2017-06-21T12:59:43.703058 | Norris | pythondev_help_Norris_2017-06-21T12:59:43.703058 | 1,498,049,983.703058 | 82,675 |
pythondev | help | Okay, try declaring your source encoding by adding this to the top of your file: | 2017-06-21T13:00:47.731282 | Winnifred | pythondev_help_Winnifred_2017-06-21T13:00:47.731282 | 1,498,050,047.731282 | 82,676 |
pythondev | help | thanks | 2017-06-21T13:02:32.773759 | Norris | pythondev_help_Norris_2017-06-21T13:02:32.773759 | 1,498,050,152.773759 | 82,677 |
pythondev | help | worked | 2017-06-21T13:02:36.775126 | Norris | pythondev_help_Norris_2017-06-21T13:02:36.775126 | 1,498,050,156.775126 | 82,678 |
pythondev | help | but i dont get any data | 2017-06-21T13:02:42.777418 | Norris | pythondev_help_Norris_2017-06-21T13:02:42.777418 | 1,498,050,162.777418 | 82,679 |
pythondev | help | `cur.execute(query)` only executes your query. You will need to fetch the results. | 2017-06-21T13:03:37.799344 | Winnifred | pythondev_help_Winnifred_2017-06-21T13:03:37.799344 | 1,498,050,217.799344 | 82,680 |
pythondev | help | good stackoverflow reference to your encoding issue above: | 2017-06-21T13:04:59.831091 | Winnifred | pythondev_help_Winnifred_2017-06-21T13:04:59.831091 | 1,498,050,299.831091 | 82,681 |
pythondev | help | <https://stackoverflow.com/questions/10589620/syntaxerror-non-ascii-character-xa3-in-file-when-function-returns-%C2%A3> | 2017-06-21T13:05:33.844532 | Winnifred | pythondev_help_Winnifred_2017-06-21T13:05:33.844532 | 1,498,050,333.844532 | 82,682 |
pythondev | help | <@Yessenia> look at the `json` module | 2017-06-21T14:02:36.171281 | Ciera | pythondev_help_Ciera_2017-06-21T14:02:36.171281 | 1,498,053,756.171281 | 82,683 |
pythondev | help | That's invalid JSON - do you get that in an array instead? | 2017-06-21T14:04:12.210473 | Beula | pythondev_help_Beula_2017-06-21T14:04:12.210473 | 1,498,053,852.210473 | 82,684 |
pythondev | help | <@Beula> I get it while parsing a website, it's inside a html-table. | 2017-06-21T14:24:18.677429 | Yessenia | pythondev_help_Yessenia_2017-06-21T14:24:18.677429 | 1,498,055,058.677429 | 82,685 |
pythondev | help | <@Yessenia> what he’s saying is that format, when when parsed with the `json` module, will fail as its not valid JSON. you can check if it’s valid here: <http://www.jsoneditoronline.org/> | 2017-06-21T14:34:29.923505 | Patty | pythondev_help_Patty_2017-06-21T14:34:29.923505 | 1,498,055,669.923505 | 82,686 |
pythondev | help | <@Patty> Thanks | 2017-06-21T14:37:32.995226 | Yessenia | pythondev_help_Yessenia_2017-06-21T14:37:32.995226 | 1,498,055,852.995226 | 82,687 |
pythondev | help | Quite simple to fix, .split(',') then I have a list and something to work with :slightly_smiling_face: | 2017-06-21T14:40:40.067556 | Yessenia | pythondev_help_Yessenia_2017-06-21T14:40:40.067556 | 1,498,056,040.067556 | 82,688 |
pythondev | help | Not that simple, because `,` can be within a json block | 2017-06-21T14:47:38.228517 | Beula | pythondev_help_Beula_2017-06-21T14:47:38.228517 | 1,498,056,458.228517 | 82,689 |
pythondev | help | If you can garantee that format - it could be that simple and skip odd `,`'s, otherwise parsing matching brackets is a simple stack issue | 2017-06-21T14:48:20.244630 | Beula | pythondev_help_Beula_2017-06-21T14:48:20.244630 | 1,498,056,500.24463 | 82,690 |
pythondev | help | greatings | 2017-06-21T15:21:10.986024 | Norris | pythondev_help_Norris_2017-06-21T15:21:10.986024 | 1,498,058,470.986024 | 82,691 |
pythondev | help | how can i put this type of date format in a mysql query? | 2017-06-21T15:21:30.992866 | Norris | pythondev_help_Norris_2017-06-21T15:21:30.992866 | 1,498,058,490.992866 | 82,692 |
pythondev | help | 2017-06-14 00:00:00 | 2017-06-21T15:21:31.993409 | Norris | pythondev_help_Norris_2017-06-21T15:21:31.993409 | 1,498,058,491.993409 | 82,693 |
pythondev | help | date and time | 2017-06-21T15:21:40.996088 | Norris | pythondev_help_Norris_2017-06-21T15:21:40.996088 | 1,498,058,500.996088 | 82,694 |
pythondev | help | What have you tried? | 2017-06-21T15:24:45.062062 | Beula | pythondev_help_Beula_2017-06-21T15:24:45.062062 | 1,498,058,685.062062 | 82,695 |
pythondev | help | datetime.date(2017-06-14 00:00:00) | 2017-06-21T15:26:54.108736 | Norris | pythondev_help_Norris_2017-06-21T15:26:54.108736 | 1,498,058,814.108736 | 82,696 |
pythondev | help | import datetime | 2017-06-21T15:27:02.111413 | Norris | pythondev_help_Norris_2017-06-21T15:27:02.111413 | 1,498,058,822.111413 | 82,697 |
pythondev | help | Please format code with backticks around it | 2017-06-21T15:27:45.127116 | Beula | pythondev_help_Beula_2017-06-21T15:27:45.127116 | 1,498,058,865.127116 | 82,698 |
pythondev | help | what do you mean | 2017-06-21T15:28:11.136246 | Norris | pythondev_help_Norris_2017-06-21T15:28:11.136246 | 1,498,058,891.136246 | 82,699 |
pythondev | help | <https://get.slack.help/hc/en-us/articles/202288908-Format-your-messages#code-blocks> | 2017-06-21T15:28:46.149322 | Meg | pythondev_help_Meg_2017-06-21T15:28:46.149322 | 1,498,058,926.149322 | 82,700 |
pythondev | help | ```
`code`
``` | 2017-06-21T15:28:47.149501 | Beula | pythondev_help_Beula_2017-06-21T15:28:47.149501 | 1,498,058,927.149501 | 82,701 |
pythondev | help | That was unnecessarily hard :stuck_out_tongue: | 2017-06-21T15:29:01.154558 | Rolland | pythondev_help_Rolland_2017-06-21T15:29:01.154558 | 1,498,058,941.154558 | 82,702 |
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