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Intro - Database Support

This section of the documentation describes what databases pydapper supports and how pydapper manages (or allows you to manage) connections.

There are four core concepts to understand about each dbapi pydapper supports:

The dbapi package name
The name of the dbapi package that pydapper supports.
Default 👍 / 👎
Is the dbapi the default for the dbms? the dbapi indicated as the default can be declared in the DSN as either dbms+dbapi or simply dbms.
For example, a DSN for psycopg2 (the PostsgreSQL default) can be declared as postgresql://user:pw@server:port/dbname OR postgresql+psycopg2://user:pw@server:port/dbname
Driver name
The name of the driver that should be included in the dsn passed to the connect method (see examples).
Base connection class
The class path used by the built-in automatic-selection predicate. Ordinary subclasses are recognized through their class MRO; wrappers and proxies should use explicit adapter= selection (see examples).

DSN format🔗

Connections managed by pydapper use URL-style DSNs with this grammar:

<database>[+<adapter>]://[<user>[:<password>]@][<host>][:<port>]/<target>[?<query>][#<fragment>]

The scheme must follow the RFC URL-scheme rules: it starts with an ASCII letter and then contains only ASCII letters, digits, +, -, or .. A scheme has either one database component or one database and one adapter component. Empty components, underscores, and additional + components are invalid.

A one-component scheme selects the database's default adapter:

database default adapter
postgresql psycopg2
sqlite sqlite3
mssql pymssql
mysql mysql
oracle oracledb
bigquery google

These default database names should be written exactly as shown. An explicit scheme such as postgresql+psycopg://... uses the adapter component exactly as written. Adapter registration names are case-sensitive, so the explicit adapter spelling must exactly match the registered name. Explicit third-party schemes are supported: for example, acme+acmedb://... selects an adapter registered as acmedb, even though acme has no built-in default. An unknown one-component scheme is invalid because pydapper cannot derive an adapter. See Adapter registration for the registration and selection contract.

Adapter loading🔗

The first-party adapters above are installed as standard pydapper.adapters entry points and load lazily. A plain import pydapper does not initialize any adapter, import any adapter command module, or import any optional database driver. A default or explicit DSN loads only the one adapter it selects, and explicit adapter= selection likewise loads only that adapter and bypasses connection predicates. Automatic using() / using_async() selection (no adapter=) may load every installed adapter provider, because it must evaluate all of their connection predicates to pick exactly one match. Third-party adapter packages participate through the same entry-point group; see Adapter registration for the packaging contract, precedence rules, and failure behavior.

Place the port after the host, not in the user information:

postgresql+psycopg://myuser:mypassword@localhost:5432/mydb

Bracket IPv6 hosts so their colons cannot be confused with the port separator:

postgresql://myuser:mypassword@[2001:db8::1]:5432/mydb

Percent encoding🔗

URL delimiters are recognized before components are percent-decoded. Percent-encode reserved characters when they are data: for example, use %40 for @, %3A for :, %2F for /, and %20 for a space in credentials or paths. A literal colon after the first username/password separator remains part of the password, but encoding reserved characters is often clearer. Usernames, passwords, hosts, and paths are decoded before adapters receive them. A plus sign in a path or credential remains a plus sign; it is not decoded as a space.

Percent-encoding does not make authority delimiters valid hostname data. After decoding, network hosts must still be valid hostnames, IPv4 addresses, or bracketed IPv6 literals; control characters and Unicode characters that normalize to delimiters such as /, :, ?, #, or @ are rejected.

Queries use URL-query decoding rules. Keys and values are percent-decoded, + becomes a space, and %2B represents a literal plus sign. A key seen once maps to a string, a repeated key maps to a list in encounter order, and a blank value remains an empty string. Numeric-looking and boolean-looking values are not converted:

?mode=read+only&tag=one&tag=two&empty=&code=001&enabled=true

produces:

{
    "mode": "read only",
    "tag": ["one", "two"],
    "empty": "",
    "code": "001",
    "enabled": "true",
}

The parse result's query and query_str fields retain the original encoded substring without the leading ?, while query_params contains the decoded mapping.

Credential safety🔗

Parsed credentials are available to adapters, but the parse result's representation and parser-generated errors redact them. The original DSN is still retained in the result's dsn field for equality and routing, so treat both the DSN and parse result as sensitive values and do not log them directly.

Connection Management🔗

pydapper supports BYOC (bring your own connection) via the using entry point or will manage the connection lifecyle for you using connect.

connect🔗

connect will manage the connection for you. When instantiating connect using a context manager, connect will use the context manager that is implemented on the dbapi you are using.

When no DSN argument is supplied, both connect and connect_async fall back to the PYDAPPER_DSN environment variable. An explicit DSN always takes precedence. Explicit empty or malformed input raises an error and is not silently replaced by the environment value.

Below is a generic example of using pydapper to connect to sqlite.

import pydapper

with pydapper.connect() as commands:
   # do stuff

connect_async🔗

connect_async will manage an asynchronous connection for you when using a dsn of a supported async dbapi. The api is almost identical to that of the sync api.

import pydapper
import asyncio

async def main():
    async with pydapper.connect_async() as commands:
        # do stuff

asyncio.run(main())

using🔗

You should use the using method when you want to use your own connection. A use case for this could be if you have a custom connection pool in your application and you don't want a framework to get in the way of using it. Another example is reuse of connection objects from a framework like Django ORM or SQLAlchemy.

Without an explicit adapter name, using first loads every installed adapter provider (so all connection predicates are available), then runs the sync adapter predicates and requires exactly one match. Native DB-API connection objects and ordinary subclasses of the supported connection classes are recognized. Pass a registered adapter name with adapter= to override automatic selection when needed; explicit selection loads only that adapter.

Below is a generic example using pydapper with a connection managed by django.

from django.db import connection

import pydapper

dbapi_connection_object = connection.connection
commands = pydapper.using(dbapi_connection_object)

What's going on here?

  • importing the connection object proxy from django.db
  • grab the actual dbapi connection object, which is stored in the connection property of the Django connection proxy
  • pass the dbapi connection object into pydapper.using and get a pydapper Commands instance back

To override automatic selection, select the adapter directly. Explicit selection bypasses all predicates:

commands = pydapper.using(dbapi_connection_object, adapter="psycopg2")

using_async🔗

You should use the using_async method when you want to use your own asynchronous connection. The API is almost identical to the sync API: it automatically selects exactly one registered async adapter, or accepts adapter= to override automatic selection.

import pydapper

some_pool = ConnectionPool()
conn = await some_pool.acquire()
commands = pydapper.using_async(conn)

# Explicit adapter selection also works for async connections.
commands = pydapper.using_async(conn, adapter="psycopg")