cloud-duck 0.0.2

CDK construct for creating an analysis environment using DuckDB for S3 data

CloudDuck is a simple and easy-to-use analysis environment for S3 data, featuring DuckDB with built-in authentication.

Architecture

Installation

npm i cloud-duck

Setup

Deploy

import { CloudDuck } from 'cloud-duck';

declare const logBucket: s3.IBucket;

new CloudDuck(this, 'CloudDuck', {
  // The S3 bucket to analyze
  // CloudDuck can access to all of the buckets in the account by default.
  // If you want to restrict the access, you can use the targetBuckets property.
  targetBuckets: [logBucket],
});

Add user to the Cognito User Pool

Add user to the Cognito User Pool to access the CloudDuck.

aws cognito-idp admin-create-user \
--user-pool-id "us-east-1_XXXXX" \
--username "[e-mail]" \
--user-attributes Name=email,Value="[e-mail]" Name=email_verified,Value=true \
--message-action SUPPRESS \
--temporary-password Password1!

Access

Access to the CloudDuck with the cloudfront URL.

❯ npx cdk deploy
...
AwsStack.CloudDuckDistributionUrl84FC8296 = https://dosjykpv096qr.cloudfront.net
Stack ARN:
arn:aws:cloudformation:us-east-1:123456789012:stack/AwsStack/dd0960c0-b3d5-11ef-bcfc-12cf7722116f

✨  Total time: 73.59s

Enter the username and password.

When you log in at the first time, you need to change the password.

Play with the CloudDuck!

Usage

Query

You can query the S3 data with SQL.

SELECT * FROM read_csv_auto('s3://your-bucket-name/your-file.csv');
SELECT * FROM parquet_scan('s3://your-bucket-name/your-file.parquet');

Ofcourse, you can store the result as a new table.

CREATE TABLE new_table AS SELECT * FROM read_csv_auto('s3://your-bucket-name/your-file.csv');

Persistence

All query results are persisted in individual DuckDB files for each user. Therefore, you can freely save your query results without worrying about affecting other users.

Note

CloudDuck is still under development. Updates may include breaking changes. If you encounter any bugs, please report them via issues.