Read about the project here

Watch the videos demonstrating the project here

Our Lambda project receives real-time IoT Data Events coming from Connected Vehicles, then ingested to Spark through Kafka. Using the Spark streaming API, we processed and analysed IoT data events and transformed them into vehicle information. While simultaneously the data is also stored into HDFS for Batch processing. We performed a series of stateless and stateful transformation using Spark streaming API on streams and persisted them to Cassandra database tables. In order to get accurate views, we also perform a batch processing and generating a batch view into Cassandra. We developed responsive web traffic monitoring dashboard using Spring Boot, SockJs and Bootstrap which get the views from the Cassandra database and push to the UI using web socket.

All component parts are dynamically managed using Docker, which means you don't need to worry about setting up your local environment, the only thing you need is to have Docker installed.

System stack:

• Java 8
• Maven
• ZooKeeper
• Kafka
• Cassandra
• Spark
• Docker
• HDFS

The streaming part of the project was done from iot-traffic-project InfoQ

• Set the KAFKA_ADVERTISED_LISTENERS with your IP in the docker-compose.yml
• mvn package
• docker network create -d bridge lambda_net
• docker-compose -p lambda up
• Wait all services be up and running, then...
• ./project-orchestrate.sh
• Run realtime job docker exec spark-master /spark/bin/spark-submit --class com.iot.app.spark.processor.StreamingProcessor --master spark://localhost:7077 /opt/spark-data/iot-spark-processor-1.0.0.jar
• Run the traffic producer java -jar iot-kafka-producer/target/iot-kafka-producer-1.0.0.jar
• Run the service layer (Web app) java -jar iot-springboot-dashboard/target/iot-springboot-dashboard-1.0.0.jar
• Access the dashboard with the data http://localhost:3000/
• Run batch job docker exec spark-master /spark/bin/spark-submit --class com.iot.app.spark.processor.BatchProcessor --master spark://localhost:7077 /opt/spark-data/iot-spark-processor-1.0.0.jar

spark-submit --class com.iot.app.spark.processor.StreamingProcessor --packages org.apache.kafka:kafka-clients:0.10.2.2 --master spark://spark-master:7077 /opt/spark-data/iot-spark-processor-1.0.0.jar Add spark-master to /etc/hosts pointing to localhost /spark/bin/spark-submit

• mvn package
• spark-submit --class com.iot.app.spark.processor.StreamingProcessor --master spark://spark-master:7077 /Users/apssouza/Projetos/opensource/iot-traffic-monitor/iot-spark-processor/target/iot-spark-processor-1.0.0.jar

http://localhost:8080 Master http://localhost:8081 Slave

Comands https://hortonworks.com/tutorial/manage-files-on-hdfs-via-cli-ambari-files-view/section/1/

Open a file - http://localhost:50070/webhdfs/v1/path/to/file/file.csv?op=open

Web file handle - https://hadoop.apache.org/docs/r1.0.4/webhdfs.html

• hdfs dfs -mkdir /user
• hdfs dfs -mkdir /user/lambda
• hdfs dfs -put localhost.csv /user/lambda/
• Access the file http://localhost:50075/webhdfs/v1/user/lambda/localhost.csv?op=OPEN&namenoderpcaddress=namenode:8020&offset=0

http://localhost:50070 http://localhost:50075

• kafka-topics --create --topic iot-data-event --partitions 1 --replication-factor 1 --if-not-exists --zookeeper zookeeper:2181
• kafka-console-producer --request-required-acks 1 --broker-list kafka:9092 --topic iot-data-event
• kafka-console-consumer --bootstrap-server kafka:9092 --topic iot-data-event
• kafka-topics --list --zookeeper zookeeper:2181

• Log in cqlsh --username cassandra --password cassandra
• Access the keyspace use TrafficKeySpace;
• List data SELECT * FROM TrafficKeySpace.Total_Traffic;