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Kafka

Installation of Zookeeper

Kafka

Introduction Kafka - Fundamentals What is a messaging system in Kafka? Point to point messaging System Publish-subscribe messaging System What are Events? Kafka and Events Importance of Kafka Kafka - Cluster Architecture Core APIs of Kafka Kafka - Work Flow Zookeeper in Kafka Kafka - Installation Steps Installation of Kafka on Windows Setting Kafka Directory Path Installation of Zookeeper Kafka - Basic Operations Creating a Kafka topic Get a list of Topics Start Producer to Send Messages Start Consumer to receive messages Deleting a Topic in Kafka cluster Modifying a Topic in Kafka cluster Simple Producer Example Producer API ProducerRecord API Consumer Group Example Integration With Storm How to integrate with Storm? KafkaSpout API Integration With Spark How to integrate with Spark? . Real-Time Application (Twitter) Apache Kafka - Tools System tools Replication tool Apache Kafka - Applications LinkedIn Twitter Netflix Oracle Mozilla Uber

Installation of Zookeeper

< Setting Kafka Directory Path

Kafka - Basic Operations >

You can not run Apache Kafka without installing the Zookeeper. Here are the steps to start Zookeeper on your machine -

 

  • Go to Kafka directory in C drive. Create a new folder with the title ‘data.’
  • Within data, create two more folders with the names ‘zookeeper’ and ‘kafka.’
  • Copy the address of the zookeeper folder and go back to the Kafka directory.
  • Navigate to the ‘config’ folder under the Kafka directory. 
  • Open the folder, go to ‘zookeeper.properties’ and right-click on it. Click on Edit with Notepad ++.
  • Locate the ‘datadir’ and edit the values by pasting the zookeeper address that you copied earlier. 
  • Save it and the Zookeeper is ready to launch. 
  • Now open the command prompt and type ‘zookeeper-server-start.bat config\zookeeper.properties.’ Press Enter.
  • If an output with a port number gets displayed, then this indicates that the Zookeeper is successfully installed on your machine. 
  • Now open Data and then click on the Zookeeper folder. There will be a new folder created automatically by the name of ‘Version -2’. If not, then it is not installed correctly.
  • Again, go to the Kafka directory and copy the address of the folder.
  • Navigate to Config within Kafka Directory and right-click on ‘sever.properties.’ Click ‘Edit with Notepad++.’
  • Locate the log.dirs and paste the copied values of the Kafka folder address.
  • Type  ‘kafka-server-start.bat config\server.properties’ in the command prompt to check for the output.
  • Now, go to Kafka directory>data>kafka and check for files that are created automatically. This indicates that Kafka is successfully installed on your machine.  

< Setting Kafka Directory Path

Kafka - Basic Operations >

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Introduction Kafka - Fundamentals What is a messaging system in Kafka? Point to point messaging System Publish-subscribe messaging System What are Events? Kafka and Events Importance of Kafka Kafka - Cluster Architecture Core APIs of Kafka Kafka - Work Flow Zookeeper in Kafka Kafka - Installation Steps Installation of Kafka on Windows Setting Kafka Directory Path Installation of Zookeeper Kafka - Basic Operations Creating a Kafka topic Get a list of Topics Start Producer to Send Messages Start Consumer to receive messages Deleting a Topic in Kafka cluster Modifying a Topic in Kafka cluster Simple Producer Example Producer API ProducerRecord API Consumer Group Example Integration With Storm How to integrate with Storm? KafkaSpout API Integration With Spark How to integrate with Spark? . Real-Time Application (Twitter) Apache Kafka - Tools System tools Replication tool Apache Kafka - Applications LinkedIn Twitter Netflix Oracle Mozilla Uber
JavaScript C++ DevOps Cloud Computing PHP Blockchain Operating System IOT Kotlin WordPress Ajax Angular 7 Manual Testing Jenkins MS Access Kafka Spring ASP.NET JMETER Tkinter Informatica JPA Magento 2 Bash Gimp NO SQL JSON bootstrap Software Testing Data structure Hacking PLSQL CSS Powerpoint Vbscript LINQ iOS Android Digital Marketing VB.Net HTML Tutorial AWS Django Keras Java React JS PyCharm Natural Language Processing Data Science