i'm developing a Django application with Postgres Database and without ORM(using raw sql and psycopg2).
how to use connection pooling in this case? i mean if a webserver like heroku creates an instance of django for each Httprequest how connection pooling should be implemented in this case? where should i put settings of connection pooling in application?
Django core does not implement connection pooling ( it was design decision as pgbouncer does it perfectly), if you need it you should opt to use pgbouncer
Heroku docs regarding PgBouncer
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I have a project in Flask that I was using SQLite to create and manage, but it won't work for big and heavy databases, so then I was thinking in another db and found Firebird. Is it possible to connect Firebird with Flask using SQLAlchemy?
I have faced some problems with offline web application which used VueJS(frontend) and Django(Backend) with postgres database.
Currently postgres database are installed on cloud while frontend and backend are on local computer, in order to avoid retrieve or update data every time from cloud, I have used cache in Django to store data temporary.
But when internet connection is disconnected, cache suddenly stop working and show error on database disconnected.
Are there any solution to add some offline service worker to avoid database connection error and allow cache to work both offline and online ?
Thank you
Is there a way to connect django and a tcp server built with asyncio?
I have a TCP server that should maintain long-lasting connections with clients, but I want to integrate it with Django so that a user can send data over the TCP server based on forms from Django
I've heard of celery, but I do not know if it would be suitable for this application
My current idea is to put a temporary tcp client in the django code that receives posts, and have it send data to the tcp server. I would prefer not to do this because I would have to add more special cases to the TCP server in order to recognize that data is being sent from Django and not one of its other clients
Try aiohttp-wsgi. It offers a WSGI bridge for asyncio, on top of aiohttp, so you can process Django requests within your asyncio process.
Note that, when using Django as a web framework, the model instances lifecycle is usually not a problem because objects live only as long as the view that creates them. When using Django as a service (outside Django HTTP Requests) this doesn't happen, and you need to synchronize access to model instances carefully. This involves avoiding usage of cached/older instances to do modifications, and refreshing model objects anytime other process (ie Django views, or other service code) might have changed them. Django CRM does not guarantee uniqueness of model objects that represent the same database record.
How does django rest framework internally manage Database connection pool. Does it persist a DB connection or it is one DB connection for each DB call? Can we configure Database thread pool connection in Django ?
The Django REST framework simply uses Django's features regarding the db connectivity.
Django opens a connection to the database when it first makes a database query. It keeps this connection open and reuses it in subsequent requests. Django closes the connection once it exceeds the maximum age defined by CONN_MAX_AGE or when it isn’t usable any longer.
You can find much detail on the persistency of DB connections, which is a topic too broad to cover in here, on the relevant Django docs article.
I'm profiling some APIs to see which one is suitable for this project.
I want my Qt app to connect to a database over an internet connection. Can Qt do this with the client application alone or do I need to write a server app to sit on the database server and transact the queries?
You can perfectly well connect to databases over TCP/IP as long as the database engine supports that (most do!). See the example in the docs, it has a db.setHostName("acidalia"); to connect to a PostgreSQL database on that host...