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Execution - Simply run the starter script `run.sh` - Results are stored in `src/results.txt` after the program completes File Descriptions - Dockerfile: configuration file for building Spark Docker image - scripts: directory that stores scripts for initializing working components in Spark cluster - src - bigramCount.py: the bigramCount program - text.txt: testing data - run.sh: start the program - start-master.sh: a wrapper script to start a Master node container - start-worker.sh: a wrapper script to start a Worker node container
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Bigram Count with Spark
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- Shell 50.5%
- Python 49.5%