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* Update all docs that make references to the database settings to find the connection strings. Update all docs that references the database settings for the compute and disk page * run prettier * run pnpm format instead of prettier directly. * first run through, fix grammar and reword awkward sentences * Fix typos and remove unnecessary whitespace * Apply suggestions from code review Co-authored-by: Tyler <dshukertjr@gmail.com> --------- Co-authored-by: Tyler <dshukertjr@gmail.com>
91 lines
4.0 KiB
Plaintext
91 lines
4.0 KiB
Plaintext
---
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title = "Using SQLAlchemy with Supabase"
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github_url = "https://github.com/orgs/supabase/discussions/27071"
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date_created = "2024-06-06T16:27:43+00:00"
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topics = [ "database", "supavisor", "self-hosting", "functions" ]
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keywords = [ "sqlalchemy", "ipv6", "pool", "database", "connection" ]
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database_id = "da4efcda-cd02-4001-965b-f0294300152f"
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---
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## Deploying to auto-scaling servers:
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If you are deploying to:
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- edge functions
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- serverless functions
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- horizontally auto-scaling deployments
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It is recommended that you connect with the pooler in transaction mode (port 6543), which can be found on the dashboard by clicking [Connect](https://supabase.com/dashboard/project/_?showConnect=true).
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```sh
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# Example transaction mode string:
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postgres://[db-user].[project-ref]:[db-password]@aws-0-[aws-region].pooler.supabase.com:6543
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```
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When using transaction mode, you should use the[ `NullPool` setting:](https://docs.sqlalchemy.org/en/20/core/pooling.html#switching-pool-implementations)
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```py
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from sqlalchemy.pool import NullPool
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con = sqlalchemy.create_engine(url, client_encoding='utf8', poolclass=NullPool)
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```
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When relying on Supavisor, it's important to pick an adequate pool size. This guide can walk you through the process:
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- https://github.com/orgs/supabase/discussions/21566
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## Deploying to stationary servers
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For stationary servers, such as VMs and long-running containers, it is recommended to use your direct connection string, which can be found on the dashboard by clicking [Connect](https://supabase.com/dashboard/project/_?showConnect=true).
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```
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# Example DB string:
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postgresql://postgres:[PASSWORD]@db.[PROJECT REF].supabase.co:5432/postgres
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```
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The connection maps to an IPv6 address, and cannot operate in an IPv4 environment.
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### Checking IPv6 support:
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The majority of services are IPv6 compatible. However, there are a few prominent services that only accept IPv4 connections:
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- [Retool](https://retool.com/)
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- [Vercel](https://vercel.com/)
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- [GitHub Actions](https://docs.github.com/en/actions)
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- [Render](https://render.com/)
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If you're still unsure if your network supports IPv6, you can run this cURL command on your deployment server:
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```sh
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curl -6 https://ifconfig.co/ip
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```
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If the command returns an IPv6 address, the network is IPv6 compatible.
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If your deployment environment is not IPv6 compatible, then consider:
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- Using the Supavisor pooler in session (port 5432)
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- Enabling the [IPv4 Add-On](https://supabase.com/dashboard/project/_/settings/addons) if you're on a pro or above plan
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### Choosing an internal pool size
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**Key Pool Settings:**
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- pool_size: This sets the maximum number of permanent connections in the pool. SQLAlchemy will create connections as needed up to this limit.
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max_overflow: Allows creating additional connections beyond pool_size for temporary bursts in demand. These temporary connections close after use.
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```python
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# Example configurations
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engine = create_engine(
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"postgresql+psycopg2://me@localhost/mydb", pool_size=20, max_overflow=15
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)
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```
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As a rule of thumb, if you're using the Supabase Database REST Client, try to limit the connections used by your deployment to 40% of available connections. Otherwise, you can cautiously increase usage to around 80%. These percentages are flexible and depend on your application's usage and setup. Monitor connection usage to determine the optimal allocation without depriving other servers of necessary connections.
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## How to monitor live connections
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Connection usage can be monitored with a Supabase Grafana Dashboard. It provides realtime visibility of over 200 database metrics, such as graphs of CPU, EBS, and active direct/pooler connections. It can be extremely useful for monitoring and debugging instances.
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You can check our [GitHub repo](https://github.com/supabase/supabase-grafana) for setup instructions for local deployments or free cloud deployments on [Fly.io](http://fly.io/). For a complete explainer on connection monitoring, you can check out this [guide](https://github.com/orgs/supabase/discussions/27141)
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