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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsTo use PostgreSQL with Django, install a supported PostgreSQL server and the psycopg adapter, create an application database and least-privilege role, point DATABASES['default'] at the PostgreSQL backend, then run Django’s migrations. For Django 6.1, PostgreSQL 15 or newer and either psycopg 3.1.12 or newer (recommended) or psycopg2 2.9.9 or newer are required.
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What Django–PostgreSQL compatibility means
Django talks to PostgreSQL through a Python database adapter. Your project therefore has three compatibility layers: the Django release, the PostgreSQL server, and the adapter installed in the same Python environment as Django.
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Django 6.1 supports PostgreSQL 15 and higher. Its documented adapter requirements are psycopg 3.1.12 or later, or psycopg2 2.9.9 or later. Psycopg 3 is the preferred choice for a new project; psycopg2 remains supported for this release but is expected to be deprecated in the future. Older Django releases have different minimum PostgreSQL versions, so check the documentation for the exact Django version before upgrading either component.
A working connection is not enough by itself. The PostgreSQL role must be able to connect to the intended database and create or alter the objects your migrations require. In production, credentials, network access, connection limits, backups, and transaction behavior all matter as much as the ENGINE setting.
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Prepare the database and application role
Install PostgreSQL using the package supplied for your operating system or use a PostgreSQL service that provides a host, port, database name, role, and password. Keep the application role separate from the PostgreSQL administrative role. The application normally needs ownership or appropriate privileges on its own database, not unrestricted access to every database on the server.
Create a database and role on a local server
The following example uses the PostgreSQL command-line client from a system account that is allowed to administer PostgreSQL. Replace the names and password with values for your project.
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CREATE DATABASE myapp OWNER myapp_user;
c myapp
GRANT CONNECT ON DATABASE myapp TO myapp_user;
qGiving the role ownership of its application database is a simple local-development arrangement. In a more controlled deployment, an administrator can own the schema and grant only the specific rights required for migrations and runtime queries. Do not commit the password to Git, paste it into a public issue, or put it in a checked-in settings file.
Check the server endpoint
Record the values Django will need:
- Database name:
myappin the example. - Role:
myapp_user. - Host:
127.0.0.1for a local TCP connection, or the private hostname supplied by your hosting environment. - Port: normally
5432, unless PostgreSQL was configured otherwise. - Password: supplied through an environment variable, secret manager, or PostgreSQL password file.
A local Unix-socket connection can behave differently from a TCP connection because PostgreSQL host-based authentication rules may select a different authentication method. Using an explicit host such as 127.0.0.1 makes the connection path clear and exposes port or firewall mistakes early.
Install the PostgreSQL adapter in Django’s environment
Activate the virtual environment used to run manage.py, then install psycopg 3:
python -m pip install 'psycopg[binary]'The binary extra is convenient for development because it supplies the client components needed by the adapter. For a deployment that standardizes on system PostgreSQL libraries, install the plain psycopg package and follow your platform’s build requirements instead. The important point is that the package must be installed in the same interpreter environment as Django.
If your project must use psycopg2, install a version supported by your Django release:
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python -m pip install 'psycopg2>=2.9.9'Confirm which interpreter and adapter are being used:
python -c "import sys, django, psycopg; print(sys.executable); print(django.get_version()); print(psycopg.__version__)"If the command fails with ModuleNotFoundError, the usual cause is that pip installed the package into a different virtual environment. Always prefer python -m pip with the interpreter that launches Django.
Configure DATABASES safely
Django’s PostgreSQL backend is django.db.backends.postgresql. Put environment-specific values in environment variables rather than hard-coding credentials.
import os
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql',
'NAME': os.environ['DB_NAME'],
'USER': os.environ['DB_USER'],
'PASSWORD': os.environ['DB_PASSWORD'],
'HOST': os.environ.get('DB_HOST', '127.0.0.1'),
'PORT': os.environ.get('DB_PORT', '5432'),
}
}For local development, define the variables in the shell that starts Django:
export DB_NAME=myapp
export DB_USER=myapp_user
export DB_PASSWORD='use-a-local-secret'
export DB_HOST=127.0.0.1
export DB_PORT=5432
python manage.py checkUse your deployment platform’s secret store or injected environment for production. Do not assume that an empty HOST is equivalent to 127.0.0.1; an empty value can make the PostgreSQL client choose a Unix socket, which changes authentication and connectivity behavior.
Use a PostgreSQL service or password file when appropriate
PostgreSQL supports service definitions and password files for deployments that centralize connection details. Django exposes those client options through the database configuration’s OPTIONS dictionary. A service-based configuration can keep the endpoint and TLS or authentication details out of application code, while a password file can keep the secret separate from the service definition. Ensure the password file has permissions restrictive enough for the operating system user running Django.
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql',
'OPTIONS': {
'service': os.environ.get('PGSERVICE', 'myapp'),
'passfile': os.environ.get('PGPASSFILE'),
},
}
}Do not combine partially conflicting sources without understanding precedence. Choose one authoritative source for the host, database, role, and authentication settings and test it with the same operating-system user that runs the application.
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Run migrations after connecting
Django migrations describe schema changes in Python and apply them to the configured database. PostgreSQL supports transactional DDL for many operations, so a failed migration can often roll back as a unit; individual operations and extensions can still have database-specific behavior.
Apply the project’s migration plan
- Check that Django can load the settings and reach the database:
python manage.py check - Create migration files for model changes:
python manage.py makemigrations - Apply all unapplied migrations:
python manage.py migrate - Inspect the state recorded for each app:
python manage.py showmigrations - Start the application and exercise at least one read and one write path. A successful migration does not prove that every query, constraint, index, or transaction path works.
Run makemigrations when models change, not merely every time the server starts. Commit migration files with the code that requires them, and run migrate as a deployment step against the intended database.
Switching an existing project from SQLite
Changing the backend changes the database, not just a setting. New PostgreSQL databases start without the rows stored in your SQLite file. Plan the data move separately from the schema move:
- Back up the SQLite database and record the current migration state.
- Configure PostgreSQL and run the project migrations to create a clean schema.
- Export application data using a method appropriate to your models and relationships, then import it into PostgreSQL.
- Validate row counts, uniqueness constraints, timestamps, files, and any database-specific fields.
- Run the application against PostgreSQL in a staging environment before changing production traffic.
Do not treat a successful migrate as a data migration. Fixtures, custom scripts, or a database-level transfer may be needed, especially when SQLite’s permissive typing differs from PostgreSQL’s constraints.
Verify the connection from Django and PostgreSQL
When a connection fails, identify which layer failed instead of changing several settings at once.
- Adapter layer: Python can import psycopg from the active environment.
- Network layer: the configured host resolves, PostgreSQL is listening on the configured port, and firewall or private-network rules allow the connection.
- Authentication layer: the role exists, the password is current, and PostgreSQL host-based authentication rules allow the client address and method.
- Authorization layer: the role can connect to the database and perform the DDL or queries required by the application.
- Migration layer: the migration graph is consistent and required extensions or dependencies exist.
Use the PostgreSQL client with the same values as Django to isolate application settings from server behavior:
psql --host=127.0.0.1 --port=5432 --username=myapp_user --dbname=myappOnce connected, conninfo shows the endpoint and role used by the client. Never include a password in a shell command that may be saved in shell history; let psql prompt for it or use a protected password file.
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Use PostgreSQL-specific Django features deliberately
Django includes PostgreSQL-specific fields and migration operations through its PostgreSQL integration. These features can improve querying and data modeling, but they reduce portability to other database engines.
Enable an extension such as hstore
An extension must exist in the target database before code that depends on it can work. Django provides an extension migration operation, but the database role running migrations may not have permission to create extensions. If it lacks that privilege, an administrator must create the extension outside the migration process.
from django.contrib.postgres.operations import HStoreExtension
from django.db import migrations
class Migration(migrations.Migration):
operations = [
HStoreExtension(),
]Coordinate extension creation with the person or service managing PostgreSQL. Test the migration on a fresh database and on an existing database so that deployment order is explicit. Similar considerations apply to other PostgreSQL extensions: availability depends on the server build and the privileges granted to your role.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Choose production connection behavior
The simplest production configuration uses short-lived connections and PostgreSQL’s default transaction isolation. Change those defaults only when you can explain the workload benefit and have a plan for limits, retries, and monitoring.
Transaction isolation
Django uses PostgreSQL’s READ COMMITTED isolation level by default. It allows each statement to see data committed before that statement begins and is a practical default for most web applications.
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Persistent connections with CONN_MAX_AGE
Django controls persistent connections with CONN_MAX_AGE. A value of 0 closes the connection at the end of each request, while a positive value keeps it available for that many seconds and None allows it to remain open indefinitely, subject to health checks and server behavior.
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql',
'NAME': os.environ['DB_NAME'],
'USER': os.environ['DB_USER'],
'PASSWORD': os.environ['DB_PASSWORD'],
'HOST': os.environ['DB_HOST'],
'PORT': os.environ.get('DB_PORT', '5432'),
'CONN_MAX_AGE': int(os.environ.get('DB_CONN_MAX_AGE', '60')),
}
}Persistent connections reduce connection setup overhead, but every worker, thread, process, or asynchronous execution unit can consume a connection. Compare the maximum possible application connections with PostgreSQL’s connection limit and with connections reserved for administration, background jobs, monitoring, and migrations. A value that works for one development process can exhaust a production database when multiplied across several workers.
Psycopg connection pooling
Django supports psycopg connection pooling through the OPTIONS pool setting. When pooling is enabled, Django’s CONN_MAX_AGE must be 0; the pool, not Django’s persistent-connection setting, owns connection lifetime.
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DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql',
'NAME': os.environ['DB_NAME'],
'USER': os.environ['DB_USER'],
'PASSWORD': os.environ['DB_PASSWORD'],
'HOST': os.environ['DB_HOST'],
'PORT': os.environ.get('DB_PORT', '5432'),
'CONN_MAX_AGE': 0,
'OPTIONS': {
'pool': {
'min_size': 1,
'max_size': 10,
'timeout': 30,
},
},
}
}Treat the pool limits in this example as configuration examples, not universal recommendations. Size the pool against the number of application instances and the database’s connection capacity. Monitor wait time, pool exhaustion, database connections, and error rates before increasing limits.
Server-side parameter binding
Psycopg 3.1.8 and later can use server-side parameter binding when enabled in Django’s OPTIONS. The setting is ignored when the project uses psycopg2. Enable it only after testing raw SQL and third-party packages that may depend on client-side adaptation or particular parameter behavior.
Compare local, self-managed, and managed PostgreSQL
The Django configuration is similar in all three cases; the operational responsibilities are not.
| Decision axis | Local PostgreSQL | Self-managed production PostgreSQL | Managed PostgreSQL |
|---|---|---|---|
| Operational ownership | You install, upgrade, secure, and repair the server on your workstation or development host. | Your team owns operating-system maintenance, PostgreSQL upgrades, failover, and incident response. | The service operator usually handles much of the infrastructure work; you still own application configuration, access policy, and service-level decisions. |
| Backup and restore | Backups are usually manual and are often omitted unless you create a routine. | You design, test, encrypt, and monitor backups and point-in-time recovery. | Backup features may be supplied, but retention, restore testing, export access, and recovery objectives must be verified. |
| Network latency and private connectivity | Loopback connections are fast and simple. | You design routing, TLS, firewall rules, and private access between application and database hosts. | Private networking, allowed-source rules, regions, and cross-zone latency depend on the service and must be checked before deployment. |
| Connection limits and pooling | Limits are easy to overlook because only a few processes connect. | You size PostgreSQL and any pooler against every worker and background process. | The service plan may impose connection limits; pooling and instance count still need application-side planning. |
| Extension availability | You can generally install extensions supported by the local server package. | You control the server build and extension lifecycle. | Only the extensions and versions exposed by the service are available, and privileged creation may be restricted. |
| Scaling controls | Scaling means changing the local machine or moving the database. | You choose vertical scaling, replicas, storage, and failover architecture. | Scaling controls, maintenance windows, replicas, and storage options are determined by the service’s offerings. |
| Observability | Use local logs and PostgreSQL inspection tools. | You configure metrics, logs, alerts, and query analysis. | Built-in metrics can help, but confirm retention, granularity, export, and alerting capabilities. |
| Cost and compliance | Uses existing hardware but consumes local resources. | Includes infrastructure, operations, staffing, and recovery costs. | Billing, data location, support, encryption, audit controls, and compliance attestations vary by service and region. |
Verify provider-specific connection limits, extension lists, backup guarantees, private-network features, regions, and compliance terms directly with the service you are considering. Django’s pooling and connection settings do not override those external limits.
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Troubleshoot the failures you are most likely to see
ModuleNotFoundError: psycopg
- Activate the virtual environment used by
manage.py. - Run
python -m pip install 'psycopg[binary]'with that interpreter. - Check the Django version and install an adapter version in its supported range.
- Confirm the import with
python -c "import psycopg; print(psycopg.__version__)".
Authentication failure
Check NAME, USER, PASSWORD, HOST, and PORT as one set. Then verify that the PostgreSQL role exists, has LOGIN, has access to the database, and is allowed by the server’s host-based authentication rules. A password that works through a local socket may fail over TCP because a different rule applies.
Connection refused or timeout
Confirm that PostgreSQL is running and listening on the configured address and port. Check local firewall rules, container or virtual-machine port forwarding, cloud security rules, private-network routes, and whether the hostname resolves to the expected network. A refusal usually means no process is accepting the connection; a timeout often indicates filtering or an unreachable route.
Migration errors
Run showmigrations and inspect the first failing migration, its dependencies, and the database role’s DDL privileges. If a field or operation requires an extension, verify that the extension exists in the same database and schema. An administrator may need to create it before the migration can complete. Do not repeatedly delete migration files on a shared database; reconcile the migration history and schema deliberately.
Unexpected serialization failures
These are expected possibilities when using REPEATABLE READ or SERIALIZABLE. Keep transactions short, identify the conflicting operation, and add bounded retry handling around an idempotent transaction. If the application does not need the stronger guarantee, return to the default isolation level rather than hiding conflicts with unlimited retries.
Quick Recap
Production readiness checklist
- Use a Django release and PostgreSQL version with a documented compatibility range.
- Pin the psycopg major version and test upgrades in staging.
- Use a dedicated role, a strong secret outside source control, and the narrowest practical privileges.
- Restrict database network access to application and administration paths.
- Run migrations as a controlled deployment step and record their outcome.
- Test backups by restoring them, not merely by checking that a backup job ran.
- Set connection lifetime or pool limits after counting every application worker and background process.
- Monitor connection utilization, query latency, locks, failed transactions, storage, and replication or failover health where applicable.
- Document extension ownership and the administrator procedure for creating extensions.
- Exercise a read, write, rollback, timeout, and recovery path in staging before production traffic is enabled.
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