generic-connection-pool 0.8.1

Features

• generic nature: can be used for any connection you desire (TCP, http, database, ssh, etc.)

• runtime agnostic: synchronous and asynchronous runtime supported

• flexibility: flexable connection retention and recycling policy

• fully-typed: mypy type-checker compatible

Getting started

Connection pool supports the following configurations:

• background_collector: if True starts a background worker that disposes expired and idle connections maintaining requested pool state. If False the connections will be disposed on each connection release.

• dispose_batch_size: maximum number of expired and idle connections to be disposed on connection release (if background collector is started the parameter is ignored).

• idle_timeout: inactivity time (in seconds) after which an extra connection will be disposed (a connection considered as extra if the number of endpoint connection exceeds min_idle).

• max_lifetime: number of seconds after which any connection will be disposed.

• min_idle: minimum number of connections in each endpoint the pool tries to hold. Connections that exceed that number will be considered as extra and disposed after idle_timeout seconds of inactivity.

• max_size: maximum number of endpoint connections.

• total_max_size: maximum number of all connections in the pool.

The following example illustrates how to create https pool:

import socket
import ssl
import urllib.parse
from http.client import HTTPResponse
from typing import Tuple

from generic_connection_pool.contrib.socket import SslSocketConnectionManager
from generic_connection_pool.threading import ConnectionPool

Hostname = str
Port = int
Endpoint = Tuple[Hostname, Port]
Connection = socket.socket


http_pool = ConnectionPool[Endpoint, Connection](
    SslSocketConnectionManager(ssl.create_default_context()),
    idle_timeout=30.0,
    max_lifetime=600.0,
    min_idle=3,
    max_size=20,
    total_max_size=100,
    background_collector=True,
)


def fetch(url: str, timeout: float = 5.0) -> None:
    url = urllib.parse.urlsplit(url)
    port = url.port or 443 if url.scheme == 'https' else 80

    with http_pool.connection(endpoint=(url.hostname, port), timeout=timeout) as sock:
        request = (
            'GET {path} HTTP/1.1\r\n'
            'Host: {host}\r\n'
            '\r\n'
            '\r\n'
        ).format(host=url.hostname, path=url.path)

        sock.write(request.encode())

        response = HTTPResponse(sock)
        response.begin()
        status, body = response.getcode(), response.read(response.length)

        print(status)
        print(body)


try:
    fetch('https://en.wikipedia.org/wiki/HTTP')  # http connection opened
    fetch('https://en.wikipedia.org/wiki/Python_(programming_language)')  # http connection reused
finally:
    http_pool.close()

… or database one

import psycopg2.extensions

from generic_connection_pool.contrib.psycopg2 import DbConnectionManager
from generic_connection_pool.threading import ConnectionPool

Endpoint = str
Connection = psycopg2.extensions.connection


dsn_params = dict(dbname='postgres', user='postgres', password='secret')

pg_pool = ConnectionPool[Endpoint, Connection](
    DbConnectionManager(
        dsn_params={
            'master': dict(dsn_params, host='db-master.local'),
            'replica-1': dict(dsn_params, host='db-replica-1.local'),
            'replica-2': dict(dsn_params, host='db-replica-2.local'),
        },
    ),
    acquire_timeout=2.0,
    idle_timeout=60.0,
    max_lifetime=600.0,
    min_idle=3,
    max_size=10,
    total_max_size=15,
    background_collector=True,
)

try:
    # connection opened
    with pg_pool.connection(endpoint='master') as conn:
        cur = conn.cursor()
        cur.execute("SELECT * FROM pg_stats;")
        print(cur.fetchone())

    # connection opened
    with pg_pool.connection(endpoint='replica-1') as conn:
        cur = conn.cursor()
        cur.execute("SELECT * FROM pg_stats;")
        print(cur.fetchone())

    # connection reused
    with pg_pool.connection(endpoint='master') as conn:
        cur = conn.cursor()
        cur.execute("SELECT * FROM pg_stats;")
        print(cur.fetchone())

finally:
    pg_pool.close()

See documentation for more details.