aws-datapipe 0.1.3

Prerequisites

This tool supports only Python 3 because Python 2.7 will not be maintained past 2020

AWS-Datapipe uses awscli to configure pipelines in your AWS account. By default, installing aws-datapipe you will also install all the prerequisites, so you can skip this phase and move to the Installation step. But in case if you want to do it manually:

The easiest way to install aws-cli is to use pip in a virtualenv:

$ pip install awscli

or, if you are not installing in a virtualenv, to install globally:

$ sudo pip install awscli

or for your user:

$ pip install --user awscli

If you have the aws-cli installed and want to upgrade to the latest version you can run:

$ pip install --upgrade awscli

Because aws-datapipe is based on aws-cli, before using aws-datapipe, you need to configure your AWS credentials using aws-cli. You can do this in several ways:

• Environment variables

• Shared credentials file

• Config file

• IAM Role

The quickest way to get started is to run the aws configure command:

$ aws configure
AWS Access Key ID: foo
AWS Secret Access Key: bar
Default region name [us-west-2]: us-west-2
Default output format [None]: json

For additional info and other ways of aws-cli configuration you can check here

Installing

The easiest way to install aws-datapipe is to use pip in a virtualenv:

$ pip install aws-datapipe

or, if you are not installing in a virtualenv, to install globally:

$ sudo pip install aws-datapipe

or for your user:

$ pip install --user aws-datapipe

If you have the aws-datapipe installed and want to upgrade to the latest version you can run:

$ pip install --upgrade aws-datapipe

End with an example of getting some data out of the system or using it for a little demo

Getting Started

You can use AWS Datapipe in two different ways:

• interactive

• passing arguments

To list all available arguments and additional info check please the --help.

For interactive mode just start the tool aws-datapipe and it will ask you for the required information to build a pipeline.

After creating data pipeline in AWS, datapipe will save locally a pipeline definition file with the same name as your pipeline that can be used as a backup. After that you can activate the pipeline directly in the script on the next step:

Would you like to activate the pipeline now? [y/n]

You can omit activation and manually activate the pipeline later whenever you want from the AWS Console

Currently aws-datapipe is creating pipeline which will run every 14 days after activation.

Schedule configuration is coming soon.. check for updates

Versioning

I use SemVer for versioning. For the versions available, see the tags on this repository.

Author

• Maxim Tacu - Site Reliability Engineer - OLX Group.

License

This project is licensed under the MIT License - see the LICENSE file for details