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Scflex: A flexible distributed engine framework powered by Apache Spark

Installation

Dependencies

  • Apache Spark
  • HADOOP YARN (for High Availabilty)

set PYTHONPATH

for example

$ export PYTHONPATH=$PYTHONPATH:/home/kuanpern/Scflex/Scflex-master
  1. Ensure that "spark-submit" is on the PATH variable.
  2. Ensure HADOOP cluster is running properly

Optionally, install the task monitoring server.

  • Refer to Scflex/controls/README.md

Add new service (task list) to the engine

$ # use interactive session with
$ ./bin/interactive_add_service

Roadmap

  • Socket-based logging system
  • Dashboard to monitor the job and node status
  • run python by module import / thread-based processing

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Flexible distributed analytic scheduler system using SPARK as backend

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