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Using "Debezium" Kafka CDC connector plugin to source data from MongoDB Cluster into KAFKA topics.

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srigumm/Mongo-To-Kafka-CDC

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Debezium CDC Connector for MongoDB:

A Kafka CDC connector to source data from MongoDB Cluster, available as part of confluent connector pluginshttps://www.confluent.io/connector/debezium-mongodb-cdc-connector/

**For more details about the plugin owners,visithttps://debezium.io/docs/connectors/mongodb/

How to run this connector in local docker container?

1: Start your kafka server

2: Standup Mongodb clusters(replicaset) and update the below setting in scripts/cdcsetup.sh

    - "mongodb.hosts": "rs0/mongo1:27017",    - "mongodb.name": "rawmaterial",    - "database.whitelist": "inventory" (**your database here **)        Note: you can use our docker-compose file to spinup a new mango cluster along with connectors.Path: src/kafka-mongo-import-export/scripts/mongoclustersetup.shNote: cdcsetup.sh has a curl POST call that issues a "create new connector" instruction to the existing connector process(running on 8083)

3: Build docker images&containers in local docker repository

- cd <<root>> i.e cd eCupcakesFactoryOnContainers- Run => "docker-compose up"Note: our docker-compose file would standup a new mongodb replicaset, starts the kafka connector process(on 8083) and runs a source connector for importing mongodata.

4: Verify whether the connector works or not.

Create some collections in the configured mongodb(i.e inventory as per the step2) cluster(on primary node):    use inventory    db.ingredients.insert({"Id":132,"Flavour":"Cookies","Quantity":11})    verify kafka if a new topic topic got created:    When this connector runs successfully, it creates new topics in kafa with the below name format:     <<logicalname>>.<<dbname>>.<<collectioname>>        ex: as per the configuration in step2, new topic name that gets created is - rawmaterial.inventory.<<collectioname>>

5. Cleanup => Kill your containers when you are done.

docker-compose downdocker-compose rm

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