Apache Kafka by Nishant Garg

By Nishant Garg

Message publishing is a mechanism of connecting heterogeneous purposes including messages which are routed among them, for instance by utilizing a message dealer like Apache Kafka. Such ideas take care of real-time volumes of data and course it to a number of shoppers with no letting info manufacturers be aware of who the ultimate shoppers are.

Apache Kafka is a pragmatic, hands-on consultant supplying you with a sequence of step by step sensible implementations, for you to assist you benefit from the true strength at the back of Kafka, and provides you a robust grounding for utilizing it on your publisher-subscriber established architectures.

Apache Kafka takes you thru a few transparent, functional implementations that can assist you to exploit the ability of Apache Kafka, fast and painlessly. you are going to research every thing you want to recognize for constructing Kafka clusters. This ebook explains how Kafka uncomplicated blocks like manufacturers, agents, and shoppers really paintings and healthy jointly. you are going to then discover extra settings and configuration adjustments to accomplish ever extra advanced objectives. ultimately you'll learn the way Kafka works with different instruments like Hadoop, hurricane, and so on.

You will examine every little thing you want to be aware of to paintings with Apache Kafka within the correct layout, in addition to easy methods to leverage its strength of dealing with 1000's of megabytes of messages according to moment from a number of consumers.

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Additional info for Apache Kafka

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The decision about how the message is partitioned is taken by the producer, and the broker stores the messages in the same order as they arrive. The number of partitions can be configured for each topic within the Kafka broker. 8. Though Kafka is highly scalable, for better durability of messages and high availability of Kafka clusters, replication guarantees that the message will be published and consumed even in case of broker failure, which may be caused by any reason. Here, both producers and consumers are replication aware in Kafka.

For a complete list of Kafka broker properties, visit http://kafka. html#brokerconfigs. [ 19 ] Setting up the Kafka Cluster Creating a Kafka topic Kafka provides a command-line utility for creating topics on the Kafka server. sh --zookeeper localhost:2181 --replica 1 --partition 1 --topic kafkatopic You should get an output as shown in the following screenshot: The previously mentioned utility will create a topic and show the successful creation message as shown in the previous screenshot. Starting a producer for sending messages Kafka provides users with a command-line producer client that accepts inputs from the command line and publishes them as a message to the Kafka cluster.

Starting the Kafka broker For setting up multiple brokers on a single node, different server property files are required for each broker. dir=/tmp/kafka8-logs/broker2 A similar procedure is followed for all brokers. properties Similar commands are used for all brokers You will also notice that we have defined a separate JMX port for each broker. The JMX ports are used for optional monitoring and troubleshooting with tools such as JConsole. sh --zookeeper localhost:2181 --replica 2 --partition 2 --topic othertopic Starting a producer for sending messages If we use a single producer to get connected to all the brokers, we need to pass the initial list of brokers, and the information of the remaining brokers is identified by querying the broker passed within broker-list, as shown in the following command.

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