Shows how to use the AWS SDK for Python (Boto3) to work with Amazon Redshift.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools.
- Running this code might result in charges to your AWS account. For more details, see AWS Pricing and Free Tier.
- Running the tests 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.
For prerequisites, see the README in the python
folder.
Install the packages required by these examples by running the following in a virtual environment:
python -m pip install -r requirements.txt
- Hello Amazon Redshift (
DescribeClusters
)
Code examples that show you how to perform the essential operations within a service.
Code excerpts that show you how to call individual service functions.
This example shows you how to get started using Amazon Redshift.
python hello.py
This example shows you how to do the following:
- Create a Redshift cluster.
- List databases in the cluster.
- Create a table named Movies.
- Populate the Movies table.
- Query the Movies table by year.
- Modify the Redshift cluster.
- Delete the Amazon Redshift cluster.
Start the example by running the following at a command prompt:
python redshift_scenario.py
⚠ Running tests might result in charges to your AWS account.
To find instructions for running these tests, see the README
in the python
folder.
- Amazon Redshift Management Guide
- Amazon Redshift API Reference
- SDK for Python Amazon Redshift reference
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