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Construct a Kafka Producer. The message id (long), will be sent as the Kafka’s records key. You will need to specify a Key serializer and a value serializer, which Kafka will use to encode the message id as a Kafka record key, and the message body as the Kafka record value. Before installing Kafka, ZooKeeper must be installed and running on your cluster. Installing Kafka Using Ambari Before you install Kafka using Ambari, refer to Adding a Service in the Ambari Operations Guide for background information about how to install Hortonworks Data Platform (HDP) components using Ambari.
Today, we are going to discuss Apache Kafka Connect. This Kafka Connect article carries information about types of Kafka Connector, features and limitations of Kafka Connect. Moreover, we will learn the need for Kafka Connect and its configuration. Along with this, we will discuss different modes and Rest API.In this Kafka Connect Tutorial, we will study how to import data from external systems into topics, and also to export data from Kafka topics into external systems, we have another component of the Apache Kafka project, that is Kafka Connect. However, there is much more to learn about Kafka Connect.So, let’s start Kafka Connect.
Kafka Connect – Featuresa. A common framework for Kafka connectorsIt standardizes the integration of other data systems with Kafka. Also, simplifies connector development, deployment, and management.b. Distributed and standalone modesScale up to a large, centrally managed service supporting an entire organization or scale down to development, testing, and small production deployments.c. REST interfaceBy an easy to use REST API, we can submit and manage connectors to our Kafka Connect cluster.d. Automatic offset managementHowever, Kafka Connect can manage the offset commit process automatically even with just a little information from connectors. Hence, connector developers do not need to worry about this error-prone part of connector development.e. Distributed and scalable by defaultIt builds upon the existing group management protocol. And to scale up a Kafka Connect cluster we can add more workers.f. Streaming/batch integrationWe can say for bridging streaming and batch data systems, Kafka Connect is an ideal solution.3. Why Kafka Connect?As we know, like, there are many tools which are capable of writing to Kafka or reading from Kafka or also can import and export data. So, the question occurs, why do we need Kafka Connect.
Hence, here we are listing the primary advantages. Why Kafka Connect- Need for Kafka a. Auto-recovery After FailureTo each record, a “source” connector can attach arbitrary “source location” information which it passes to Kafka Connect. Hence, at the time of failure Kafka Connect will automatically provide this information back to the connector.
In this way, it can resume where it failed. Additionally, auto recovery for “sink” connectors is even easier. B. Auto-failoverAuto-failover is possible because the Kafka Connect nodes build a Kafka cluster. That means if suppose one node fails the work that it is doing is redistributed to other nodes. C. Simple ParallelismA connector can define data import or export tasks, especially which execute in parallel.