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PageStatisticsParser

Pyspark application to parse sample page visit data

Input parameters

  • pagetype : Comma seperated 'WEBPAGE_TYPE' values in 'lookup' data.
  • metrictype : Requested statistics. Use 'fre' for time windowed frequencies, 'dur' for recency. Indicators must be comma seperated.
  • timewindow : Comma seperated integers for time windowing.
  • dateofreference : Date string to caculate how many days have passed since the last activity after this date reference.

Key points

  • Small 'lookup' data BROADCAST joined.
  • Memory partition by :"USER_ID","WEB_PAGEID" and date parts like year, month, day.
  • Data cached before aggregation.
  • Disk partition by "USER_ID".
  • LOG4J for logging.
  • unitttest for testing.
  • python3

Running the application

Example usage :

spark-submit PageViewStatisticsApplication.py --pagetype 'news, movies' --metrictype 'fre, dur' --timewindow '365, 730, 1460, 2920' --dateofreference '12/10/2019' 

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