S3QL

Query Language inspired by SQL for S3.

Usage

TODO

Local development

For local development rust, cargo, python, pip and docker are required. To setup a local S3 with localstsack you can execute make setup and to start a S3 with localstack you can execute make s3.

• S3 will be at http://localhost:4566

TODO:

• more tests
• example usage
• docs
• auth (S3CLient can have auth by using directly rusoto_s3::S3Client or function s3_client_with with feature auth)

Buckets:

• Create Bucket - create_s3_bucket
• Drop Bucket - drop_s3_bucket
• Has Bucket - has_s3_bucket
• Show Buckets - show_s3_buckets

Transactions:

• Insert Object - insert_s3_object
• Update Object Metadata - update_s3_object_metadata
• Update Object Body - update_s3_object_body

Direct Read:

• Read Object - read_s3_object
• Read Object Body - read_s3_object_body
• Has Object - has_s3_object
• Show Objects in Bucket - show_s3_objects

Query

• Select object content (AWS and localstack-pro ONLY)
• All of Query Object in bucket
• Conditionals https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-conditional.html
• Cast https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-conversion.html
• Date Functions https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-date.html
• String Functions https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-string.html