Skip to main content

A intelligent DynamoDB frontend for Python3

Project description


A intelligent DynamoDB frontend for Python3

Basic Usage

Importing the package

    import boto3  # require to build a client
    import byrne

Creating a client

    session = boto3.Session()
    base_client = session.client("dynamodb")
    client = byrne.DynamoDB(base_client)
    client.list_tables()  # ["table", "names"]

Creating a Table

    table_def = byrne.datastructures.TableDefinition(
            "id": "S"



  1. How do I install byrne?

    • Simply run pip3 install byrne - the PyPI package is automatically kept up to date with this repository.
  2. Why does this require Python 3.7?

    • We use dataclasses heavily to model table metadata and to simplify query expressions.
  3. Why is this better than using the default client in boto3?

    • Support for asyncronous result pagination.
    • Allows for integrated object mapping.
    • Configurable value marshalling and unmarshalling.
    • A more Pythonic interface.
    • Builtin support for working with DAX.
  4. How is the package tested?

    • The testing regimen is automated through tox.
    • Tests are run against a DynamoDB Local instance for all supported Python versions.
    • The tests are run against the live DynamoDB service in AWS us-east-1 for the latest Python version.
    • Code coverage is tracked through Coveralls.
  5. Why is the DAX code path untested?

    • We are working on creating a testing strategy for DAX workflows.
    • DAX is expensive, we can't justify having a dedicated cluster running only for testing.
  6. I can't run the test cases on my local machine! Help!

    • There are 5 test environments defined in tox.ini:
      1. test: Runs test suite against "real" DynamoDB.
      2. test_local: Runs test suite against DynamoDB Local.
      3. test_coverage: Same as test, with coverage reporting.
      4. test_coverage_local: Same as test_local, with coverage reporting.
      5. flake8: Runs PEP8 conformance testing.
    • The live test cases require AWS credentials on your machine.
    • These credentials need access rights to assume a role used for testing.
    • Access to this role is only granted to trusted contributors.
    • You should be able to run the local environments after executing the script.
    • flake8 should run without any fuss.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

byrne-0.5.0.tar.gz (14.9 kB view hashes)

Uploaded source

Built Distribution

byrne-0.5.0-py3-none-any.whl (17.4 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page