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A Records like database API that works with Aurora Serverless Data API

Project description


Camus is a raw SQL library enabling an ease integration with the new Aurora Serverless Data API. It is a fork of the powerful Records library.

Camus Aurora Execution


The recommended installation method is pipenv:

$ pipenv install camus

Basic Usage

First you need to have an Aurora cluster ARN and a Secret ARN. If don't have one yet, just follow the Data API Getting Started Guide.

With that in hands, let's drop some query to our database:

import camus

db = camus.Database(

rows = db.query("SELECT * FROM users")

You can grab one row at time (like in Records library)

>>> rows[0]
<camus.Record at 0x109bfbd30>

Or iterate over them:

 for r in rows:

Like mentioned before, Camus is a fork of the Records library, so almost all access pattern are equal:

Other options include rows.as_dict() and rows.as_dict(ordered=True)


Data API transactions are supported by Camus:

with db.transaction() as txid:
    db.query("INSERT INTO users (name, email) VALUES (:name, :email)", name="Rafael", email="")
    db.query("UPDATE posts SET title = :title WHERE id = :id", title="New Title", id=999)

If any exception is raised when executing any of the queries, a rollback is performed automatically.

That's all folks

Thanks for the awesome @kennethreitz for providing his knowledge on the excelent Records library and all the talks he has given over the years!

Project details

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