I've been trying to solve this one all week, help very much appreciated.
I have various schemas in a postgres db and I would like to be able to map to them from within the same or across different django apps.
Some of the schemas are :
samples
excavation
geophysics
...
I have tried the recommended way, but I'm not getting any data to display from the schemas, I can only connect to the public schema with managed tables. Here is the database connections from the settings.py file.
DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'OPTIONS': { 'options': '-c search_path=django,public' }, 'NAME': 'gygaia', 'USER': 'appuser', 'PASSWORD': 'secret', }, 'samples': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'OPTIONS': { 'options': '-c search_path=samples,public' }, 'NAME': 'gygaia', 'USER': 'appuser', 'PASSWORD': 'secret', }, }
source: https://www.amvtek.com/blog/posts/2014/Jun/13/accessing-multiple-postgres-schemas-from-django/
In the model.py I add:
from django.db import models # Create your models here. class Storage(models.Model): #id = models.IntegerField(default=0) storage_id = models.AutoField(primary_key=True) store_name = models.CharField(max_length=200, default='') address_1 = models.CharField(max_length=200, default='') address_2 = models.CharField(max_length=200, default='') region = models.CharField(max_length=200, default='') city = models.CharField(max_length=200, default='') zip = models.CharField(max_length=200, default='') country = models.CharField(max_length=200, default="Turkey") user = models.CharField(max_length=200, default="Gygaia") datestamp = models.DateTimeField(auto_now=True) class Meta(): managed=False db_table = 'samples\".\"store'
I don't want to restrict schemas to users, and the database was created a few years ago so I'm not allowed to bring it all under one schema. I know there are various solutions posted on stackoverflow and other coreners of the internet, I have tried these, but I'm unable to get this to work. Any ideas how to solve thos one??
If you are building an application with maps or you are storing geographical data, you need to use PostgreSQL, as GeoDjango is only fully compatible with PostgreSQL. PostgreSQL has the richest set of features that are supported by Django.
The description of all tables with their columns and their respective datatypes is called a database schema. All database systems supported by Django use the language SQL to create, read, update and delete data in a relational database. SQL is also used to create, change, and delete the database tables themselves.
Schema is a collection of logical structures of data. In PostgreSQL, schema is a named collection of tables, views, functions, constraints, indexes, sequences etc. PostgreSQL supports having multiple schemas in a single database there by letting you namespace different features into different schemas.
Because Django does not support Postgres database schemas out of the box, in order to get this to work, use a database router.
I created a test database to try this out with, here's how to reproduce it:
Create a test database with psql:
CREATE USER tester WITH PASSWORD 'lol so easy'; CREATE DATABASE multi_schema_db WITH OWNER tester; CREATE SCHEMA samples AUTHORIZATION tester; CREATE TABLE samples.my_samples ( id INTEGER NOT NULL PRIMARY KEY, description CHAR(255) NOT NULL );
Add the schemas to the settings as different database connections, remember to add HOST
to avoid the “Peer authentication failed” error.
DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'OPTIONS': { 'options': '-c search_path=django,public' }, 'NAME': 'multi_schema_db', 'USER': 'tester', 'PASSWORD': 'lol so easy', 'HOST': 'localhost' }, 'samples': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'OPTIONS': { 'options': '-c search_path=samples,public' }, 'NAME': 'multi_schema_db', 'USER': 'tester', 'PASSWORD': 'lol so easy', 'HOST': 'localhost' },
}
Next create the MySample
model:
from django.db import models class MySample(models.Model): description = models.CharField(max_length=255, null=False) class Meta: managed = False db_table = 'my_samples'
Create a database router to direct all sample-related queries to the sample database:
from database_test.models import MySample ROUTED_MODELS = [MySample] class MyDBRouter(object): def db_for_read(self, model, **hints): if model in ROUTED_MODELS: return 'samples' return None def db_for_write(self, model, **hints): if model in ROUTED_MODELS: return 'samples' return None
Basically, the router will route all the models specified in ROUTED_MODELS to the database connection samples
and return None for all the other models. This will route them to the default
database connection.
Finally add the router to your settings.py
DATABASE_ROUTERS = ('database_test.db_router.MyDBRouter',)
And now when doing a query for the MySample
model, it will fetch data from the samples
schema.
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