Challenge description is located here.

• docker (tested on v19.03.3)
• docker-compose (tested on v1.24.1)
• make (tested on GNU Make v4.2.1)

Start local environment

Start Apache Spark cluster, MySQL database (with fake data), dummy data generator (over TCP socket), Apache Spark driver program & REST API

NOTE: First run can take some time because dependant Docker images are pulled and build.

$ make up

Scale Apache Spark worker nodes

$ make scale n=3 

Stop local environment

$ make down

OPTIONAL: Data is still persisted in the named volume, remove it with following command:

$ make clean

Question 1: How many impressions were trafficked each day for each campaign?

curl http://localhost:8080/api/campaigns/timeseries

Question 2: How many impressions, interactions and swipes were trafficked for each ad in the specific campaign?

curl http://localhost:8080/api/campaigns/1/ads

Question 3: How many unique users and impressions were trafficked each day for each ad in the last 7 days?

curl http://localhost:8080/api/campaigns/ads/lastweek

• Split driver program into smaller functions
• Move hard coded configurations to environment variables
• Add unit tests