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Spark_Scala_Analysis_Air_Cooler_System

This exercise helps to understand how efficiently we can perform join between two files after converting them to RDD.

File Semantics:-

Buiding.csv

  1. BuildingID -- Unique ID for every building
  2. BuildingMgr -- Manager of the building
  3. BuildingAge -- Age of the building
  4. HVACproduct -- Product identifier
  5. Country -- Country where the product is installed.

HVAC.csv

1.Date -- Date at which the temperature is recorded 2.Time -- Time at which the temperature is recroded 3.TargetTemp -- Final temperature recorded after applying the cooling agent 4.ActualTemp -- Actual temperatur set 5.System -- System id 6.SystemAge -- Age of the system 7.BuildingID -- Unique ID for every building

The building ID is the unique column and the above two files needs to be joined using the common field BuildingID

Use Cases:

1.Find out the top 2 countries topped where the delta temperature(difference between actual and target temperature) is >5 2.Find out the top 2 countries topped where the delta temperature(difference between actual and target temperature) is <5

spark_scala_analysis_air_cooler_system's People

Contributors

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