This is an Amzon Redshift Serverless project for CDK development with Python.
The cdk.json
file tells the CDK Toolkit how to execute your app.
This project is set up like a standard Python project. The initialization
process also creates a virtualenv within this project, stored under the .venv
directory. To create the virtualenv it assumes that there is a python3
(or python
for Windows) executable in your path with access to the venv
package. If for any reason the automatic creation of the virtualenv fails,
you can create the virtualenv manually.
To manually create a virtualenv on MacOS and Linux:
$ python3 -m venv .venv
After the init process completes and the virtualenv is created, you can use the following step to activate your virtualenv.
$ source .venv/bin/activate
If you are a Windows platform, you would activate the virtualenv like this:
% .venv\Scripts\activate.bat
Once the virtualenv is activated, you can install the required dependencies.
$ pip install -r requirements.txt
ℹ️ Before you deploy this project, you should create an AWS Secret for your Redshift Serverless Admin user. You can create an AWS Secret like this:
$ aws secretsmanager create-secret \ --name "your_redshift_secret_name" \ --description "(Optional) description of the secret" \ --secret-string '{"admin_username": "admin", "admin_user_password": "password_of_at_least_8_characters"}'
At this point you can now synthesize the CloudFormation template for this code.
(.venv) $ export CDK_DEFAULT_ACCOUNT=$(aws sts get-caller-identity --query Account --output text) (.venv) $ export CDK_DEFAULT_REGION=$(aws configure get region) (.venv) $ cdk synth --all \ -c vpc_name='your-existing-vpc-name' \ -c aws_secret_name='your_redshift_secret_name'
Use cdk deploy
command to create the stack shown above.
(.venv) $ cdk deploy --all \ -c vpc_name='your-existing-vpc-name' \ -c aws_secret_name='your_redshift_secret_name'
To add additional dependencies, for example other CDK libraries, just add
them to your setup.py
file and rerun the pip install -r requirements.txt
command.
Delete the CloudFormation stack by running the below command.
(.venv) $ cdk destroy --force --all \ -c vpc_name='your-existing-vpc-name' \ -c aws_secret_name=your_redshift_secret_name
cdk ls
list all stacks in the appcdk synth
emits the synthesized CloudFormation templatecdk deploy
deploy this stack to your default AWS account/regioncdk diff
compare deployed stack with current statecdk docs
open CDK documentation
Enjoy!
- Automate Amazon Redshift Serverless data warehouse management using AWS CloudFormation and the AWS CLI (2022-10-19)
- Introducing Amazon Redshift Serverless – Run Analytics At Any Scale Without Having to Manage Data Warehouse Infrastructure (2021-11-30)
- Amazon Redshift Immersion Labs
- Easy analytics and cost-optimization with Amazon Redshift Serverless (2022-08-30)
- Develop an Amazon Redshift ETL serverless framework using RSQL, AWS Batch, and AWS Step Functions (2022-08-02)
- Real-time analytics with Amazon Redshift streaming ingestion (2022-04-27)
- How to Simplify Machine Learning with Amazon Redshift (2021-11-21)
- Build regression models with Amazon Redshift ML (2021-06-03)