Kafka samples

1. Spark streaming and Kafka sample
2. Akka streams and Kafka sample
3. Akka actors and Kafka sample
4. Kafka SSL configuration sample for brokers/clients/zookeeper and script for generating signed certificates
5. Spark structured streaming and Kafka integration
6. Spark writer to Kafka from Dstream, RDD and DataFrame via https://github.com/BenFradet/spark-kafka-writer read data from socket - nc -lk 9087 transform and write to Kafka
7. Template for seamless converting from/to Avro for Kafka - spark-streaming-latest/../com.example.avro

Installation

Install Kafka in docker

docker run --rm -it \
    -p 2181:2181 -p 3030:3030 -p 7081:8081 \
    -p 7082:8082 -p 7083:8083 -p 9092:9092 \
    -e ADV_HOST=127.0.0.1 \
    landoop/fast-data-dev

Management of Kafka is available on http://localhost:3030

Access to cli in container

docker run --rm -it --net=host landoop/fast-data-dev bash

kafka-topics --zookeeper 127.0.0.1:2181 --create --topic sample_topic --partitions 3 --replication-factor 1

kafka-console-producer --broker-list 127.0.0.1:9092 --topic sample_topic

kafka-console-consumer --bootstrap-server 127.0.0.1:9092 --topic first_topic //--from-beginning --partition 0
--consumer-property group.id=mygroup1 //will force to write offset

kafka-topics --zookeeper 127.0.0.1:2181 --describe topic sample_topic

Rest proxy

Rest proxy is available on http://localhost:7082/topics/sample_topic via curl e.g.:

curl -i -X POST -H "Content-Type: application/vnd.kafka.avro.v1+json" --data '{
 "value_schema": "{\"type\": \"record\", \"name\": \"User\", \"fields\": [{\"name\": \"username\", \"type\": \"string\"}]}",
 "records": [
 {"value": {"username": "testUser"}},
 {"value": {"username": "testUser2"}}
 ]
}' \
http://localhost:7082/topics/sample_topic

Launching

sbt project ...
sbt runMain ...