springboot-kafka-connect-debezium-ksqldb

The goal of this project is to play with Kafka, Debezium and ksqlDB. For this, we have: research-service that inserts/updates/deletes records in MySQL; Source Connectors that monitor change of records in MySQL and push messages related to those changes to Kafka; Sink Connectors and kafka-research-consumer that listen messages from Kafka and insert/update documents in Elasticsearch; finally, ksqlDB-Server that listens some topics in Kafka, does some joins and pushes new messages to new topics in Kafka.

Project Diagram

project-diagram

Applications

research-service

Monolithic Spring Boot application that exposes a REST API to manage Institutes, Articles, Researchers and Reviews. The data is saved in MySQL.
kafka-research-consumer

Spring Boot application that listens messages from the topic reviews_researchers_institutes_articles (that is one of ksqlDB outputs) and save the payload of those messages (i.e, reviews with detailed information) in Elasticsearch.

Prerequisites

Start Environment

Open a terminal and, inside springboot-kafka-connect-debezium-ksqldb root folder, run the following command
```
docker-compose up -d
```
Note: During the first run, an image for mysql and kafka-connect will be built, whose names are springboot-kafka-connect-debezium-ksqldb_mysql and springboot-kafka-connect-debezium-ksqldb_kafka-connect, respectively. To rebuild those images run
```
docker-compose build
```
Wait for all Docker containers to be up and running. To check it, run
```
docker-compose ps
```

Create Kafka Topics

In order to have topics in Kafka with more than 1 partition, we must create them manually and not wait for the connectors to create for us. So, for it

In a terminal, make sure you are in springboot-kafka-connect-debezium-ksqldb root folder
Run the script below
```
./create-kafka-topics.sh
```
It will create the topics mysql.researchdb.institutes, mysql.researchdb.researchers, mysql.researchdb.articles and mysql.researchdb.reviews with 5 partitions.

Create connectors (3/4)

In a terminal, make sure you are in springboot-kafka-connect-debezium-ksqldb root folder

Run the following curl commands to create one Debezium and two Elasticsearch-Sink connectors in kafka-connect

curl -i -X POST localhost:8083/connectors -H 'Content-Type: application/json' -d @connectors/debezium-mysql-source-researchdb.json
curl -i -X POST localhost:8083/connectors -H 'Content-Type: application/json' -d @connectors/elasticsearch-sink-institutes.json
curl -i -X POST localhost:8083/connectors -H 'Content-Type: application/json' -d @connectors/elasticsearch-sink-articles.json

You can check the state of the connectors and their tasks on Kafka Connect UI (http://localhost:8086) or calling kafka-connect endpoint

curl localhost:8083/connectors/debezium-mysql-source-researchdb/status
curl localhost:8083/connectors/elasticsearch-sink-institutes/status
curl localhost:8083/connectors/elasticsearch-sink-articles/status

The state of the connectors and their tasks must be RUNNING. If there is any problem, you can check kafka-connect container logs.
```
docker logs kafka-connect
```

Run research-service

Open a new terminal and navigate to springboot-kafka-connect-debezium-ksqldb root folder
Run the command below to start the application
```
./mvnw clean spring-boot:run --projects research-service -Dspring-boot.run.jvmArguments="-Dserver.port=9080"
```
It will create some articles, institutes and researchers. If you don't want it, just set to false the properties load-samples.articles.enabled, load-samples.institutes.enabled and load-samples.researchers.enabled in application.yml.
The Swagger link is http://localhost:9080/swagger-ui/index.html
Important: create at least one review so that mysql.researchdb.reviews-key and mysql.researchdb.reviews-value are created in Schema Registry. Below there is a sample request to create a review.
```
curl -i -X POST localhost:9080/api/reviews \
  -H "Content-Type: application/json" \
  -d "{ \"researcherId\": 1, \"articleId\": 1, \"comment\": \"Ln 56: replace the 'a' by 'an'\"}"
```

Run ksqlDB-cli

Open a new terminal and, inside springboot-kafka-connect-debezium-ksqldb root folder, run the docker command below to start ksqlDB-cli

docker run -it --rm --name ksqldb-cli \
  --network springboot-kafka-connect-debezium-ksqldb_default \
  -v $PWD/docker/ksql/researchers-institutes.ksql:/tmp/researchers-institutes.ksql \
  -v $PWD/docker/ksql/reviews-researchers-institutes-articles.ksql:/tmp/reviews-researchers-institutes-articles.ksql \
  confluentinc/cp-ksqldb-cli:7.0.1 http://ksqldb-server:8088

On ksqlDB-cli command line, run the following commands

Set auto.offset.reset value
```
SET 'auto.offset.reset' = 'earliest';
```
Run the following script. It will create researchers_institutes topic
```
RUN SCRIPT '/tmp/researchers-institutes.ksql';
```

Check whether the topic was created

DESCRIBE "researchers_institutes";
SELECT * FROM "researchers_institutes" EMIT CHANGES LIMIT 5;

Run the script below. It will create reviews_researchers_institutes_articles topic
```
RUN SCRIPT '/tmp/reviews-researchers-institutes-articles.ksql';
```

Check whether the topic was created

DESCRIBE "reviews_researchers_institutes_articles";
SELECT * FROM "reviews_researchers_institutes_articles" EMIT CHANGES LIMIT 1;

Create connectors (4/4)

In a terminal, make sure you are in springboot-kafka-connect-debezium-ksqldb root folder

Run the curl command below to create elasticsearch-sink-researchers connector in kafka-connect

curl -i -X POST localhost:8083/connectors -H 'Content-Type: application/json' -d @connectors/elasticsearch-sink-researchers.json

You can check the state of the connector and its task on Kafka Connect UI (http://localhost:8086) or calling kafka-connect endpoint
```
curl localhost:8083/connectors/elasticsearch-sink-researchers/status
```

Run kafka-research-consumer

Open a new terminal and navigate to springboot-kafka-connect-debezium-ksqldb root folder

Run the command below to start the application

./mvnw clean spring-boot:run --projects kafka-research-consumer -Dspring-boot.run.jvmArguments="-Dserver.port=9081"

The command below generates the Java class ReviewMessage from Avro file present in src/main/resources/avro
./mvnw generate-sources --projects kafka-research-consumer

This service runs on port 9081. The health endpoint is http://localhost:9081/actuator/health

[Optional] We can start another kafka-research-consumer instance by opening another terminal and running

./mvnw clean spring-boot:run --projects kafka-research-consumer -Dspring-boot.run.jvmArguments="-Dserver.port=9082"

Testing

Go to the terminal where ksql-cli is running

On ksql-cli command line, run the following query

SELECT * FROM "reviews_researchers_institutes_articles" EMIT CHANGES;

In another terminal, call the research-service simulation endpoint

curl -X POST localhost:9080/api/simulation/reviews \
  -H "Content-Type: application/json" \
  -d "{\"total\": 100, \"sleep\": 100}"

The GIF below shows it. research-service is running in the upper left terminal; kafka-research-consumer is running in the upper right terminal; the middle terminal is used to submit the POST request to research-service. The lower terminal is where ksql-cli is running.

You can also query Elasticsearch

curl "localhost:9200/reviews/_search?pretty"

Useful Links/Commands

Kafka Topics UI

Kafka Topics UI can be accessed at http://localhost:8085
Kafka Connect UI

Kafka Connect UI can be accessed at http://localhost:8086
Schema Registry UI

Schema Registry UI can be accessed at http://localhost:8001
Schema Registry

You can use curl to check the subjects in Schema Registry
- Get the list of subjects
```
curl localhost:8081/subjects
```
- Get the latest version of the subject mysql.researchdb.researchers-value
```
curl localhost:8081/subjects/mysql.researchdb.researchers-value/versions/latest
```
Kafka Manager

Kafka Manager can be accessed at http://localhost:9000

Configuration
- First, you must create a new cluster. Click on Cluster (dropdown on the header) and then on Add Cluster
- Type the name of your cluster in Cluster Name field, for example: MyCluster
- Type zookeeper:2181 in Cluster Zookeeper Hosts field
- Enable checkbox Poll consumer information (Not recommended for large # of consumers if ZK is used for offsets tracking on older Kafka versions)
- Click on Save button at the bottom of the page.

Elasticsearch

Elasticsearch can be accessed at http://localhost:9200

Get all indices
```
curl "localhost:9200/_cat/indices?v"
```

Search for documents

curl "localhost:9200/articles/_search?pretty"
curl "localhost:9200/institutes/_search?pretty"
curl "localhost:9200/researchers/_search?pretty"
curl "localhost:9200/reviews/_search?pretty"

MySQL

docker exec -it -e MYSQL_PWD=secret mysql mysql -uroot --database researchdb
SELECT a.id AS review_id, c.id AS article_id, c.title AS article_title, b.id AS reviewer_id, b.first_name, b.last_name, b.institute_id, a.comment \
  FROM reviews a, researchers b, articles c \
  WHERE a.researcher_id = b.id and a.article_id = c.id;

Type exit to leave MySQL terminal

Shutdown

Go to the terminals where research-service and kafka-research-consumer are running and press Ctrl+C to stop them
Go to the terminal where ksql-cli is running and press Ctrl+C to stop the SELECT; then, type exit
To stop and remove docker-compose containers, network and volumes, go to a terminal and, inside springboot-kafka-connect-debezium-ksqldb root folder, run the command below
```
docker-compose down -v
```

Cleanup

To remove the Docker images created by this project, go to a terminal and, inside springboot-kafka-connect-debezium-ksqldb root folder, run the following script

./remove-docker-images.sh

TODO

Create ES indices dynamically and add an alias for them.

References

https://docs.confluent.io/platform/current/ksqldb/index.html

springboot-kafka-connect-debezium-ksqldb
springboot-kafka-connect-debezium-ksqldb copied to clipboard

Metadata

springboot-kafka-connect-debezium-ksqldb

Project Diagram

Applications

research-service

kafka-research-consumer

Prerequisites

Start Environment

Create Kafka Topics

Create connectors (3/4)

Run research-service

Run ksqlDB-cli

Create connectors (4/4)

Run kafka-research-consumer

Testing

Useful Links/Commands

Shutdown

Cleanup

TODO

References

← Metadata

Owner

Metadata

springboot-kafka-connect-debezium-ksqldb springboot-kafka-connect-debezium-ksqldb copied to clipboard

Metadata

springboot-kafka-connect-debezium-ksqldb

Project Diagram

Applications

research-service

kafka-research-consumer

Prerequisites

Start Environment

Create Kafka Topics

Create connectors (3/4)

Run research-service

Run ksqlDB-cli

Create connectors (4/4)

Run kafka-research-consumer

Testing

Useful Links/Commands

Shutdown

Cleanup

TODO

References

← Metadata

Owner

Metadata

springboot-kafka-connect-debezium-ksqldb
springboot-kafka-connect-debezium-ksqldb copied to clipboard