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Creating a Topic with Custom Configurations in Kafka
There are many custom configurations that we can apply to topics in Kafka. In this hands-on lab, we'll go through creating a topic, applying a custom configuration to that topic, and then testing the custom configuration by alerting the state of the partitions tied to that topic.

Lab Info
Table of Contents
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Challenge
Set Up the Cluster
Use Docker Compose to build the Kafka Cluster:
cd content-kafka-deep-dive docker-compose up -d --build
Now, let's make sure Java is installed (if you receive a
dpkg frontend lock
message, wait a few minutes and then try again):sudo apt install default-jdk
Unzip and change into the Kafka binaries directory:
tar -xvf kafka_2.12-2.2.0.tgz && mv kafka_2.12-2.2.0/ kafka
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Challenge
Create a Topic with Three Partitions and a Replication Factor of `3`
Create a topic named
transaction
:bin/kafka-topics.sh --zookeeper localhost:2181 --create --topic transaction --replication-factor 3 --partitions 3
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Challenge
Add a Custom Configuration to the Topic
Add the custom configuration
min.insync.replicas=3
to the topic transaction:bin/kafka-configs.sh --zookeeper localhost:2181 --alter --entity-type topics --entity-name transaction --add-config min.insync.replicas=3
Verify the topic configuration applied:
bin/kafka-configs.sh --zookeeper localhost:2181 --describe --entity-type topics --entity-name transaction
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Challenge
Change the Replica Count for the Topic
First off, let's create a JSON file named
replicacount.json
with these contents:{"partitions": [{"topic": "transaction", "partition": 0, "replicas": [ 2 ] } ], "version":1 }
Now, we can execute the replica count change but using that JSON file:
bin/kafka-reassign-partitions.sh --zookeeper localhost:2181 --execute --reassignment-json-file replicacount.json
Once we get a "Successfully started..." message, let's describe the topic to see the replica change:
bin/kafka-topics.sh --zookeeper localhost:2181 --topic transaction --describe
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Challenge
Run a Producer to Get an Error Message
Open a producer and send some messages to your topic:
bin/kafka-console-producer.sh --broker-list localhost:9092 --topic transaction --producer-property acks=all
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