What is the different between kafka artifactIds kafka_2.10 and kafka-clients?
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In the world of Apache Kafka, a popular open-source stream-processing software platform, different artifactIds such as kafka_2.10 and kafka-clients often confuse new users. Each artifact serves a different purpose and is used in different contexts of Kafka applications. Below, we provide a detailed look into these artifacts, their uses, and key differences.
Understanding the ArtifactIds
kafka_2.10
kafka_2.10 refers to the whole Kafka server compiled against Scala version 2.10. It includes the Kafka broker itself and all dependencies necessary for running a Kafka server. This artifact is primarily used by those who are setting up a Kafka cluster or are involved in administrative tasks related to Kafka.
The naming convention kafka_X.YY generally signifies the version of Scala used during the build. Apache Kafka is written in Scala, thus the dependency on Scala versions. This means that kafka_2.10 is not suitable or necessary for application developers who only need to interact with Kafka through producers and consumers APIs; they do not need to operate a Kafka server directly.
kafka-clients
On the other hand, kafka-clients includes libraries required for developing Kafka applications—in particular, the producer and consumer APIs that allow applications to publish to (write) and subscribe to (read) Kafka topics, respectively. This artifact is agnostic of Scala version because it is written in Java. Developers use kafka-clients to integrate Kafka messaging capabilities within their applications without needing to manage the Kafka server itself.
This module does not include server-side components and therefore is lighter and more relevant for application developers who only need client-level access to Kafka.
Key Differences
The primary difference between these two artifactIds lies in their use case and in the nature of dependency:
kafka_2.10is comprehensive and includes both server and client-side tools but is specifically built against Scala 2.10. It is mostly used by those managing Kafka instances.kafka-clientsis exclusively for application developers needing to interface with Kafka programmatically via Java. It simplifies developing Kafka-enabled applications without installing or administering the Kafka server.
Here is a table that summarizes these differences:
| Artifact | Description | Use Case | Language / Platform | Contains Server Code |
kafka_2.10 | Full Kafka system compiled against Scala 2.10 | Setting up/managing Kafka servers | Scala-based | Yes |
kafka-clients | Library providing producer and consumer APIs | Developing Kafka-integrated applications | Java-based | No |
Practical Example
To demonstrate the difference between using kafka_2.10 and kafka-clients, consider the following scenarios:
- Setting up a Kafka cluster: In this scenario, you would go for
kafka_2.10, where you need the entire Kafka system, including server components. Configuration and maintenance scripts that come with this package are essential for managing the cluster. - Developing a simple Kafka producers and consumers: Here,
kafka-clientsis more relevant. Using these libraries, a Java developer would write code like the following to produce messages:
And similarly, to consume messages from a Kafka topic:
Conclusion
The difference between kafka_2.10 and kafka-clients primarily revolves around the target audience and specific use cases. While kafka_2.10 is essential for those deploying and managing Kafka servers, kafka-clients is indispensable for developers focusing on integrating Kafka into their applications. Understanding these distinctions helps in selecting the right tool for the right job, optimizing both the development and management of Kafka-related tasks.
Related reading
- What is the different between the master node in distributed systems and the controller in the Kafka cluster?
- What is the equivalent of Kafka Table on Azure Service bus?
- What is the format of Kafka's adminClient properties file which is used with argument --command-config?
- What is the ideal number of partitions in kafka topic?
- What is the impact if delay kafka manual commit offset?
- what is the max length of kafka key?
- What is the maximum replication factor for a partition of kafka topic
- What is the meaning of the vhost in RabbitMQ?

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