This scenario is related to real-time example in Spark with Kafka for Spark developers.
A Reality Television in a Game show has 7 players, the game for one complete day, the winner of the game is decided by the votes cast by the audience watching the show. At the end of the day, the winner is decided by certain criteria which are detailed below.
Rules to cast vote:
1)Each unique user(let us assume has an ID) can cast vote for the players
2)The user can cast, maximum one vote every 2 minutes he has the liberty casting different players each time
3)If a user casts more than one vote in the spam of two minutes, the latest vote will overwrite the previous vote.
Calculation criteria for the winner:
1)Find the player who has maximum votes every minute of the day, the player with maximum votes for the minute will get one reward point.
2)At the end of the day player who has maximum reward points is the winner
1)Create a system which simulates user voting to a Kafka topic
2)Spark Streaming job should process the stream data and process the data based on the rules mentioned above
3)The reward points for the users should be stored in the persistent system
4)Provide a query to find the winner.
Apache Kafka is messaging and integration for Spark Streaming. Kafka acts as the central hub for real-time streams of data and is processed.
Above scenario asked for coding in Spark with Kafka. For Spark Developers will implement in SCALA or Python depends upon your programming knowledge. Nowadays the most important scenario in the IT industry for CCA – 175 also.