This example demonstrates how to use the Aurora DSQL Python Connector with asyncpg to connect to Amazon Aurora DSQL clusters and perform basic database operations.
Aurora DSQL is a distributed SQL database service that provides high availability and scalability for your PostgreSQL-compatible applications. Asyncpg is a popular PostgreSQL database library for Python that allows you to interact with PostgreSQL databases using Python code.
The example demonstrates a flexible connection approach that works for both admin and non-admin users:
- When connecting as an admin user, the example uses the
publicschema and generates an admin authentication token. - When connecting as a non-admin user, the example uses a custom
myschemaschema and generates a standard authentication token.
The code automatically detects the user type and adjusts its behavior accordingly.
- Running this code might result in charges to your AWS account.
- We recommend that you grant your code least privilege. At most, grant only the minimum permissions required to perform the task. For more information, see Grant least privilege.
- This code is not tested in every AWS Region. For more information, see AWS Regional Services.
This example uses direct TLS connections where supported, and verifies the server certificate is trusted. Verified SSL connections should be used where possible to ensure data security during transmission.
- Driver versions following the release of PostgreSQL 17 support direct TLS connections, bypassing the traditional PostgreSQL connection preamble
- Direct TLS connections provide improved connection performance and enhanced security
- Not all PostgreSQL drivers support direct TLS connections yet, or only in recent versions following PostgreSQL 17
- Ensure your installed driver version supports direct TLS negotiation, or use a version that is at least as recent as the one used in this sample
- If your driver doesn't support direct TLS connections, you may need to use the traditional preamble connection instead
- You must have an AWS account, and have your default credentials and AWS Region configured as described in the Globally configuring AWS SDKs and tools guide.
- Python 3.10.0 or later.
- You must have an Aurora DSQL cluster. For information about creating an Aurora DSQL cluster, see the Getting started with Aurora DSQL guide.
- If connecting as a non-admin user, ensure the user is linked to an IAM role and is granted access to the
myschemaschema. See the Using database roles with IAM roles guide.
Download the Amazon root certificate from the official trust store:
wget https://www.amazontrust.com/repository/AmazonRootCA1.pem -O root.pem
- Create and activate a Python virtual environment:
python3 -m venv .venv
source .venv/bin/activate # Linux, macOS
# or
.venv\Scripts\activate # Windows- Install the required packages for running the examples:
pip install -e .
# Install optional dependencies for tests
pip install -e ".[test]"The example demonstrates the following operations:
- Opening a connection to an Aurora DSQL cluster
- Creating a table
- Inserting and querying data
The example is designed to work with both admin and non-admin users:
- When run as an admin user, it uses the
publicschema - When run as a non-admin user, it uses the
myschemaschema
Note: running the example will use actual resources in your AWS account and may incur charges.
The connetion pool examples demonstrate:
- Creating a connection pool for Aurora DSQL
- Using async context managers for connection management
- Performing database operations through the pool
- Running multiple concurrent database operations
- Using asyncio.gather() for parallel execution
- Proper resource management with connection pools
Set environment variables for your cluster details:
# e.g. "admin"
export CLUSTER_USER="<your user>"
# e.g. "foo0bar1baz2quux3quuux4.dsql.us-east-1.on.aws"
export CLUSTER_ENDPOINT="<your endpoint>"Run the example:
# Run example directly
python src/example.py
# Run example using pytest
pytest ./test/test_example.py
# Run all using pytest
pytest ./testThe example contains comments explaining the code and the operations being performed.
The connector automatically handles the following parameters:
| Parameter | Default | Notes |
|---|---|---|
database |
postgres |
Aurora DSQL's default database |
port |
5432 |
Standard PostgreSQL port |
region |
Extracted from endpoint | Parsed from *.dsql.<region>.on.aws |
You can override any of these defaults by explicitly passing them in your connection parameters.
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