Making pool connection cycling async

• asyncpg version: 0.14
• PostgreSQL version: 9.5/9.6
• Do you use a PostgreSQL SaaS? If so, which? Can you reproduce
  the issue with a local PostgreSQL install?: AWS RDS
• Python version: 3.6
• Platform: linux in docker
• Do you use pgbouncer?: Not in this instances
• Did you install asyncpg with pip?: yes
• If you built asyncpg locally, which version of Cython did you use?:
• Can the issue be reproduced under both asyncio and
  uvloop?: We only use asyncio

We have some application containers that use asyncpg connection pools, every now and again my performance tracing on our application request handlers shows that the connect method in the Pool takes a significant amount of time (sometimes 150ms) when establishing a connection to our RDS postgres instance (same Region).

The Pool has options to control how often a connection is pro-actively cycled, but my concern is that this results in clients of the pool having to wait for a connection to be established - I would much rather push this into a background async task who's job it is to take connections in/out of service so that inbound http requests to our server never incur the latency of performing the connection themselves.

Is this already doable or would it require some changes to asyncpg?

Beginne damit, den Einstiegspunkt Pool.connect und die vorhandenen Pool-Optionen für das proaktive Durchlaufen von Verbindungen zu lesen. Verfolge, wann der Verbindungsaufbau für eingehende Anfragen erfolgt, und ermittle, welche Änderungen für das Durchlaufen im Hintergrund erforderlich wären; abgeschlossen ist die Aufgabe, wenn Pool-Clients diese Latenz beim Verbindungsaufbau nicht mehr haben.