=> Scalla 2.11.x
=> Java 1.8.x
=> sbt 0.13.15

This project contain 3 way to solve the geo-analytics problem

• Only Scala [S]

  • Pros

    • Data is in memory faster access
    • No other technology required

  • Cons

    • Data is in main memory so it always had limit cant handle tons of data
    • RealTime data ingestion is difficult

• Spark with Scala [SS]

  • Pros

    • Data is in memory and disk as defined by spark configuration can handle much more data then scala solution
    • No DB required

  • Cons

    • Though we can save data in memory as well as disk but again it had a limit
    • RealTime data ingestion is difficult

• Cassandra Spark and Scala [CSS]

  • Pros

    • Infinite scalable with consistent performance
    • Can handle realtime data injestion
    • No data loss
    • No initial boot time

  • Cons

    • Some latency due to db
    • Initial data migration is required

injestion (Optional)

 set avalia.data=<data file location>
 set cassandra.pass=<cassdandra password in application.conf> 
 $/<project> sbt injest/run 

clent

 set avalia.data=<data file location>
 set cassandra.pass=<cassdandra password in application.conf> (Optional if you want to run cassandra mode) 
 $/<project> sbt client/run 

Query

Find Command

            FIND UID1 UID2 SolutionChoice[S|SS|CSS]
    EX:   FIND  26c56675 c9d2e553 CSS