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network_analysis_production's Introduction

Running the code

The project uses the library 'bashful' to execute the spark code from a 'workflow.yaml' YAML file. This file has the file run command and a tag to identify this command.

Link to bashful - https://github.com/wagoodman/bashful

Run the following within the code folder, since folder paths are relative to this folder.

  1. To run all tasks - bashful run workflow.yaml
  2. To run a specific task named 'build' - bashful run workflow.yaml --tags build

The folder structure

  1. data /temp-data /production-data
  2. code /temp-code /production-code
  3. output (FOR FILES)
  4. output-graphs (FOR FIGURES)

Execute the code in /code

Cloud storage

Push the input and output data to Wasabi. The code and configuration information will be in Wasabi_data

aws s3 cp filename s3://BUCKET/filename --profile 'wasabi' --endpoint-url 'https://s3.wasabisys.com'

network_analysis_production's People

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