Spark

Setup

This project uses a number of python packages, so to run the system, do the following:

pip install jupyter pyspark matplotlib pandas numpy

# Assuming in project path
export PYTHONPATH=$PYTHONPATH:`pwd`

jupyter notebook  # Start notebook server to load the notebook files

The data and models are stored on an NFS share on the school network (ls99-kf39-cs5052), but the models have been included in this repo too. If you want to load some test data and the models on local machine, then in the sentiment notebook, change the load location for data and models:

df = funcs.load_dataframe(sess, '../data/test.json', funcs.schema)  # Load local test data
df2 = funcs.parse_timestamp(df)

# Load local model

sentiment_model = SentimentAnalyser()
sentiment_model.load("../models")

Spark Setup

If you want to use a spark cluster, start a Spark Master process and get the spark master URL (e.g. spark://pc5-035-l.cs.st-andrews.ac.uk:7077) then pass this to the spark connector bash script (you need to be in the comp sci lab for this to work).

./connect.sh spark://pc5-035-l.cs.st-andrews.ac.uk

If you don't want to run a cluster, the notebooks are set to use local machine by default anyway.