Kafka Windows Create Consumer

Kafka gives us data (and compute) distribution and performance based on a distributed log model. The Confluent Schema Registry is a distributed storage layer for Avro schemas which uses Kafka as its underlying storage mechanism. Kafka Multitopic Consumer - Reads messages from multiple Kafka topics. We will discuss all the properties in depth later in the chapter. properties; This will start the Kafka. Kafka frequent commands. Start a console consumer for that topic:. The Apache Kafka API can only be accessed by resources inside the same virtual network. Let's install Apache Kafka on windows - Current version is kafka_2. Enables you to create long-running executable applications that run in their own windows session. sh for example - it uses an old consumer API. 0 or higher) The Spark Streaming integration for Kafka 0. Above KafkaConsumerExample. Since this is a single-node cluster running on a virtual. Basically, Kafka producers write to the Topic and consumers read from the Topic. When you configure a Kafka Consumer, you configure the consumer group name, topic, and ZooKeeper connection information. 0 which means scala version as 2. Create the file in ~/kafka-training/lab1/start-consumer-console. Above KafkaConsumerExample. 1 or higher. Go to your Kafka config directory. group_events: Sets the number of events to be published to the same partition, before the partitioner selects a new partition by random. So now that the. Hence, we have seen all the ways in which we can create Kafka clients using Kafka API. Create the folder into the Kafka folder with the name of kafka_log to keep the log file. config file change the below 2 parameters. This is great—it's a major feature of Kafka. Kafka Consumer¶. Enter the following command to copy the kafka-producer-consumer-1. Step 6: Setting up a multi-broker cluster. After running Zookeeper, Kafka should be downloaded, then a developer will be able to create broker, cluster, and topic with the aid of some instructions. This section gives a high-level overview of how the consumer works, an introduction to the configuration settings for tuning, and some examples from each client library. This client class contains logic to read user input from the console and send that input as a message to the Kafka server. Kafka Connect for MapR Streams is a utility for streaming data between MapR Streams and Apache Kafka and other storage systems. group-id=kafka-intro spring. It also interacts with the assigned kafka Group Coordinator node to allow multiple consumers to load balance consumption of topics (requires kafka >= 0. Troubleshooting: By default a Kafka broker uses 1GB of memory, so if you have trouble starting a broker, check docker-compose logs/docker logs for the container and make sure you've got enough memory available on your host. Run the following command to start a producer. The consumer iterator returns ConsumerRecords, which are simple namedtuples that expose basic message attributes: topic, partition, offset, key, and value: >>> from kafka import KafkaConsumer >>> consumer = KafkaConsumer('my_favorite_topic') >>> for msg in consumer: print (msg). Create a topic. Also a demonstration of the streaming api. An important point to note here is that this package is compatible with Kafka Broker versions 0. properties and modify this line, supplying the IP address or hostname and port of your Kafka server, including the backslash character: bootstrap. Kafka is a system that is designed to run on a Linux machine. この2つの特徴のためConsumerはBrokerにも他のBrokerにも大きな影響を与えない. 高速にメッセージを消費する. Step 7: Use Kafka Connect to import/export data. Commands: In Kafka, a setup directory inside the bin folder is a script (kafka-topics. The producer and the Kafka broker are inside the Docker network. 3: Getting started with Apache Kafka and Python. Conclusion. Kafka Streams exposes a compute model that is based on keys and temporal windows. Oracle recommends and considers it best practice that the data topic and the schema topic (if applicable) are preconfigured on the running Kafka brokers. Open a new terminal window and create a Kafka topic named app_events that will contain messages about user behavior events in our e-commerce application. Apache Kafka License: Apache 2. This client class contains logic to read user input from the console and send that input as a message to the Kafka server. I want to work with spatial data instead of pure data. It provides simple parallelism, 1:1 correspondence between Kafka partitions and Spark partitions, and access to offsets and metadata. This section gives a high-level overview of how the consumer works, an introduction to the configuration settings for tuning, and some examples from each client library. We create a SpringBoot project with 2 main services: KafkaProducer and KafkaConsumer for sending and receiving messages from Apache Kafka cluster. Step 5: Start a consumer. It uses the TCP protocol which is good communication between clients and servers with high performance. confluent-kafka-go: Confluent's Kafka client for Golang wraps the librdkafka C library, providing full Kafka protocol support with great performance and reliability. 0 or higher) The Spark Streaming integration for Kafka 0. If not, it shouldn't take too long to set it up - just download, unzip and you're ready to go! On your local machine, use a new terminal to start a Kafka Consumer - set the required variables first. For installing Kafka on Windows follow below steps:. config file change the below 2 parameters. properties and press Enter. Kafka runs on port 9092 with an IP. It works on both event streams (KStream) and update streams (KTable). Net Core Kafka Consumer. In this tutorial, we will be developing a sample apache kafka java application using maven. Kafka - (Consumer) Offset - If specified, the consumer path in zookeeper is deleted when starting up --from-beginning Start with the earliest message present in the log rather than the latest message. What is a Windows Service. The NuGet Team does not provide support for this client. We will discuss all the properties in depth later in the chapter. Commands: In Kafka, a setup directory inside the bin folder is a script (kafka-topics. Prerequisites. servers”) property to the list of broker addresses we defined earlier. pipeline_kafka also needs to know about at least one Kafka server to connect to, so let's make it aware of our local server: SELECT pipeline_kafka. In this post, we'll look at how to set up an Apache Kafka instance, create a user service to publish data to topics, and build a notification service to consume data from those topics. This is great—it's a major feature of Kafka. Here are 3 monitoring tools we liked: First one is check_kafka. sh once to create kafka. Then restart the Kafka server, producer. The consumer iterator returns ConsumerRecords, which are simple namedtuples that expose basic message attributes: topic, partition, offset, key, and value: >>> from kafka import KafkaConsumer >>> consumer = KafkaConsumer('my_favorite_topic') >>> for msg in consumer: print (msg). When an action is performed by the user (e. In this article we’ll look at how we can create a producer and consumer application for Kafka in C#. pl from Hari Sekhon. It works on both event streams (KStream) and update streams (KTable). Connecting Spring Boot with Kafka. Apache Kafka License: Apache 2. sh for example - it uses an old consumer API. In our example we’ll create a producer that emits numbers from 1 to 1000 and send them to our Kafka broker. We start by creating a Spring Kafka Producer which is able to send messages to a Kafka topic. Install Kafka on Windows OS. It provides simple parallelism, 1:1 correspondence between Kafka partitions and Spark partitions, and access to offsets and metadata. Open a new terminal window and create a Kafka topic named app_events that will contain messages about user behavior events in our e-commerce application. To connect other services, networks, or virtual machines to Apache Kafka, you must first create a virtual network and then create the resources within the network. Oracle recommends and considers it best practice that the data topic and the schema topic (if applicable) are preconfigured on the running Kafka brokers. Configure the Zookeeper address for Kafka broker node. So now that the. However, this relies on the Kafka brokers being configured to allow dynamic topics. Kafkaで面白いのはConsumerがBrokerから高速にメッセージを読み込むための仕組みであると思う.これをどのように実現しているかを説明する.. Kafka Multitopic Consumer - Reads messages from multiple Kafka topics. The producer and consumer components in this case are your own implementations of kafka-console-producer. Can be automatically started when the computer boots, can be paused and restarted without any user interaction. public KafkaConsumer(java. Please contact its maintainers for support. config file change the below 2 parameters. Go to your Kafka config directory. What Is the Messaging System? One of the most challenging parts of data engineering is how to collect and transmit the high volume of data from different points to the distributed systems for processing and analyzing. Kafkaで面白いのはConsumerがBrokerから高速にメッセージを読み込むための仕組みであると思う.これをどのように実現しているかを説明する.. bat --bootstrap-server localhost:9092 --topic javainuse-topic --from-beginning In C:/inbox folder we have a file with following content-. In this blog, we will show how Structured Streaming can be leveraged to consume and transform complex data streams from Apache Kafka. The first step to start consuming records is to create a KafkaConsumer instance. Creating a Simple Kafka Consumer Apache Kafka is a fault tolerant publish-subscribe streaming platform that lets you process streams of records as they occur. Create a Kafka Console Consumer. Apache Kafka is a popular distributed message broker designed to efficiently handle large volumes of real-time data. Any monitoring tools with JMX support should be able to monitor a Kafka cluster. Last week I attended to a Kafka workshop and this is my attempt to show you a simple Step by step: Kafka Pub/Sub with Docker and. bytes configurations. Confluent is the complete event streaming platform built on Apache Kafka. It has four major components like Producer API, Consumer API, Streams API, and Connector API. The Confluent Schema Registry is a distributed storage layer for Avro schemas which uses Kafka as its underlying storage mechanism. Open a new terminal window and create a Kafka topic named app_events that will contain messages about user behavior events in our e-commerce application. The KafkaConsumer node sends periodic heartbeats to indicate its liveness to the Kafka server. During this re-balance, Kafka will. A Kafka cluster is not only highly scalable and fault-tolerant, but it also has a much higher throughput compared to other message brokers such as ActiveMQ and RabbitMQ. Now the server is up. In our example we’ll create a producer that emits numbers from 1 to 1000 and send them to our Kafka broker. Enables you to create long-running executable applications that run in their own windows session. pipeline_kafka also needs to know about at least one Kafka server to connect to, so let's make it aware of our local server: SELECT pipeline_kafka. Spring Kafka - Batch Listener Example 7 minute read Starting with version 1. Hope you like our explanation of how to create Kafka Clients. The use case we want to implement using Kafka ACLs is alice produces to topic test, bob consumes from topic test in consumer-group bob-group, charlie queries the group bob-group to retrieve the group offsets. In this post, I’d like to share how to create multi-threaded Apache Kafka consumer. So now that the. Also a demonstration of the streaming api. In order to install Kafka following steps can be followed. Kafka --version 1. properties file and change the following line. confluent-kafka-go: Confluent's Kafka client for Golang wraps the librdkafka C library, providing full Kafka protocol support with great performance and reliability. We will discuss all the properties in depth later in the chapter. 1 of Spring Kafka, @KafkaListener methods can be configured to receive a batch of consumer records from the consumer poll operation. Once installed, interacting with Kafka is relatively simple. sh for example - it uses an old consumer API. Tutorial on using Kafka with Spring Cloud Stream in a JHipster application Prerequisite. It provides simple parallelism, 1:1 correspondence between Kafka partitions and Spark partitions, and access to offsets and metadata. Let's install Apache Kafka on windows - Current version is kafka_2. A Docker Compose configuration file is generated and you can start Kafka with the command:. conda create -n kafka-benchmark python=3 ipython jupyter pandas seaborn -y source activate kafka-benchmark conda install -c activisiongamescience confluent-kafka pykafka -y # will also get librdkafka pip install kafka-python # pure python version is easy to install If you would like to run this notebook please find the full repo here. Also a demonstration of the streaming api. 0 or higher) The Spark Streaming integration for Kafka 0. Kafka REST Proxy for MapR Streams provides a RESTful interface to MapR Streams and Kafka clusters to consume and product messages and to perform administrative operations. sh once to create kafka. Enables you to create long-running executable applications that run in their own windows session. Then a consumer will read the data from the broker and store them in a MongoDb collection. We start by creating a Spring Kafka Producer which is able to send messages to a Kafka topic. To get started using Kafka, you should download Kafka and ZooKeeper and install them on your. Open a new terminal window and create a Kafka topic named app_events that will contain messages about user behavior events in our e-commerce application. When you configure a Kafka Consumer, you configure the consumer group name, topic, and ZooKeeper connection information. Create a Kafka Topic 14. In this post, we will be taking an in-depth look at Kafka Producer and Consumer in Java. Install Java (The latest released version of JDK 1. sh --topic consumer-tutorial --max-messages 200000 --broker-list localhost:9092. Assuming that the following environment variables are set: KAFKA_HOME where Kafka is installed on local machine (e. Start Kafka. During this re-balance, Kafka will. You will use a Kafka consumer to read the data as it is sent by Flume to Kafka. When an action is performed by the user (e. Kafka REST Proxy for MapR Streams provides a RESTful interface to MapR Streams and Kafka clusters to consume and product messages and to perform administrative operations. $ bin / kafka - console - consumer. sh to receive messages from a topic on the command line. It subscribes to one or more topics in the Kafka cluster. Conclusion. \bin\windows\kafka-console-consumer. Hence, we have seen all the ways in which we can create Kafka clients using Kafka API. We start by adding headers using either Message or ProducerRecord. To create a Kafka consumer, you use java. Prerequisites. Kafka Connect for MapR Streams is a utility for streaming data between MapR Streams and Apache Kafka and other storage systems. Install Java (The latest released version of JDK 1. Step 6: Setting up a multi-broker cluster. Before proceeding further, let’s make sure we understand some of the important terminologies related to Kafka. Apache kafka is a fast & scalable messaging queue, capable of handeling real heavy loads in context of read & write. Also Start the consumer listening to the javainuse-topic- C:\kafka_2. bat--zookeeper localhost:2181--topic test--from-beginning If you have each of the above commands running in a different terminal then you should now be able to type messages into the producer terminal and see them appear in the consumer terminal. This quick tutorial is going to cover how to install Apache Kafka on Windows. Troubleshooting: By default a Kafka broker uses 1GB of memory, so if you have trouble starting a broker, check docker-compose logs/docker logs for the container and make sure you've got enough memory available on your host. Commands: In Kafka, a setup directory inside the bin folder is a script (kafka-topics. It builds upon important stream processing concepts such as properly distinguishing between event time and processing time, windowing support, exactly-once processing semantics and simple yet efficient management of application state. Let's install Apache Kafka on windows - Current version is kafka_2. The NuGet Team does not provide support for this client. Consumer group is a multi-threaded or multi-machine consumption from Kafka topics. Confluent is the complete event streaming platform built on Apache Kafka. How do i create a new consumer and consumer group in kafka?? I have tried using kafka-consumer-groups but am unable to create a new consumer group and consumer. How to Run Apache Kafka 24/7 as a Windows Service with AlwaysUp Automatically launch Kafka whenever your server starts, without having to log in. You enter producer mode with the -P option. We will discuss all the properties in depth later in the chapter. And call the Listen method of the BookingConsumer passing Console. Kafka REST Proxy for MapR Streams provides a RESTful interface to MapR Streams and Kafka clusters to consume and product messages and to perform administrative operations. Kafka gives us data (and compute) distribution and performance based on a distributed log model. Moreover, in this Kafka Clients tutorial, we discussed Kafka Producer Client, Kafka Consumer Client. Run below command to create a topic named test and it has only one partition and one replication instance. This guide helps you how to install Apache Kafka on Windows 10 operating system. ZK_HOSTS=192. Kafka issues - Windows. Step to do: - Create a SpringBoot project - Create Kafka Producer and Consumer - Add Apache Kafka external configuration. The use case we want to implement using Kafka ACLs is alice produces to topic test, bob consumes from topic test in consumer-group bob-group, charlie queries the group bob-group to retrieve the group offsets. This tutorial demonstrates how to send and receive messages from Spring Kafka. A Docker Compose configuration file is generated and you can start Kafka with the command:. Create a folder for your new project. This guide will also provide instructions to setup Java & zookeeper. Apache Kafka: Apache Kafka is a distributed, fast and scalable messaging queue platform, which is capable of publish and subscribe. The Apache Kafka API can only be accessed by resources inside the same virtual network. In this article we’ll look at how we can create a producer and consumer application for Kafka in C#. Go to your Kafka installation directory C:\kafka_2. conda create -n kafka-benchmark python=3 ipython jupyter pandas seaborn -y source activate kafka-benchmark conda install -c activisiongamescience confluent-kafka pykafka -y # will also get librdkafka pip install kafka-python # pure python version is easy to install If you would like to run this notebook please find the full repo here. Step 3 : Start the consumer service as in the below command. The consumer will transparently handle the failure of servers in the Kafka cluster, and adapt as topic-partitions are created or migrate between brokers. Quickstart Step 1: Download the code. Introduction This blog will show you how to deploy Apache Kafka cluster on Kubernetes. 0 or higher) The Spark Streaming integration for Kafka 0. In the above image, we can see the Producer, Consumer, and Topic. [email protected]$ bin/kafka-console-consumer. The following example shows how to setup a batch listener using Spring Kafka, Spring Boot, and Maven. この2つの特徴のためConsumerはBrokerにも他のBrokerにも大きな影響を与えない. 高速にメッセージを消費する. Download files. Kafka gives us data (and compute) distribution and performance based on a distributed log model. How do i create a new consumer and consumer group in kafka?? I have tried using kafka-consumer-groups but am unable to create a new consumer group and consumer. Net Core Kafka consumer code is complete, therefore I will implement the Main method of the Program. Im trying to create consumer eagle_consumer. If you're not sure which to choose, learn more about installing packages. By default the hash partitioner is used. Now the server is up. 7 and shows how you can publish messages to a topic on IBM Message Hub and consume messages from that topic. For Apache Kafka, simply unzip and start the server from bin folder and start the Producer/Consumer from windows folder under the Kafka directory share | improve this answer answered Jun 2 '17 at 13:21. In this post, I’d like to share how to create multi-threaded Apache Kafka consumer. Web console for Kafka messaging system March 18, 2015 11 Comments Written by Tyler Mitchell Running Kafka for a streaming collection service can feel somewhat opaque at times, this is why I was thrilled to find the Kafka Web Console project on Github yesterday. Together, you can use Apache Spark and Kafka to transform and augment real-time data read from Apache Kafka and integrate data read from Kafka with information stored in other systems. Connect to the cluster using Kafka CLI I am assuming that you already have a Kafka setup (local or elsewhere) - the Kafka CLI is bundled along with it. Step to do: - Create a SpringBoot project - Create Kafka Producer and Consumer - Add Apache Kafka external configuration. \bin\windows\kafka-server-start. Open a command prompt here by pressing Shift + right click and choose“Open command window here” option) 3. You might be set off for developing a Kafka producer, a consumer or a Kafka Streams application. Since this is a single-node cluster running on a virtual. bat --bootstrap-server localhost:9092 --topic javainuse-topic --from-beginning In C:/inbox folder we have a file with following content-. bat--zookeeper localhost:2181--topic test--from-beginning If you have each of the above commands running in a different terminal then you should now be able to type messages into the producer terminal and see them appear in the consumer terminal. The Schema Registry is the answer to this problem: it is a server that runs in your infrastructure (close to your Kafka brokers) and that stores your schemas (including all their versions). sh --topic consumer-tutorial --max-messages 200000 --broker-list localhost:9092. 0 or higher only. It builds upon important stream processing concepts such as properly distinguishing between event time and processing time, windowing support, exactly-once processing semantics and simple yet efficient management of application state. Kafka runs on port 9092 with an IP. You will use a Kafka consumer to read the data as it is sent by Flume to Kafka. sh which is located at ~/kafka-training/kafka/bin/kafka-console-producer. \config\server. A Kafka cluster is not only highly scalable and fault-tolerant, but it also has a much higher throughput compared to other message brokers such as ActiveMQ and RabbitMQ. Kafka is a distributed streaming platform designed to build real-time pipelines and can be used as a message broker or as a replacement for a log aggregation solution for big data applications. Part 1: Apache Kafka for beginners - What is Apache Kafka? Written by Lovisa Johansson 2016-12-13 The first part of Apache Kafka for beginners explains what Kafka is - a publish-subscribe-based durable messaging system that is exchanging data between processes, applications, and servers. Troubleshooting: By default a Kafka broker uses 1GB of memory, so if you have trouble starting a broker, check docker-compose logs/docker logs for the container and make sure you've got enough memory available on your host. In this post, we will be taking an in-depth look at Kafka Producer and Consumer in Java. Installing Apache Kafka on Windows 10 and create a topic, publisher and consumer to exchange. Go to your Kafka config directory. Download files. In our web page hit example above, each of the consumer applications get their own read cursor to the data and they can process the messages at their own pace, all without causing any performance issues or delays for the producer. If you are among those who would want to go beyond that and contribute to the open source project I explain in this article how you can set up a development environment to code, debug, and run Kafka. Apache Kafka is a distributed streaming platform which enables you to publish and subscribe to streams of records, similar to enterprise messaging system. Topics: In Kafka, a Topic is a category or a stream name to which messages are. Kafka - (Consumer) Offset - If specified, the consumer path in zookeeper is deleted when starting up --from-beginning Start with the earliest message present in the log rather than the latest message. Confluent is the complete event streaming platform built on Apache Kafka. Download the file for your platform. 175\:6667; Optional: Add a line like the following. Step 7: Use Kafka Connect to import/export data. Kafka Streams exposes a compute model that is based on keys and temporal windows. In server. Let's install Apache Kafka on windows - Current version is kafka_2. Kafka is a distributed streaming platform designed to build real-time pipelines and can be used as a message broker or as a replacement for a log aggregation solution for big data applications. This is currently in an experimental state and is compatible with Kafka Broker versions 0. Confluent's Apache Kafka Client for. KafkaConsumer API is used to consume messages from the Kafka cluster. To create a Kafka consumer, you use java. Running a zookeeper and kafka cluster with Kubernetes on AWS I have been recently working with Russ Miles on coding microservices that follow principles he has laid out in the Antifragile Software book. Step 7: Use Kafka Connect to import/export data. This topic was automatically closed 28 days after the last reply. You can use kafkacat to produce, consume, and list topic and partition information for Kafka. Install Java (The latest released version of JDK 1. If you are among those who would want to go beyond that and contribute to the open source project I explain in this article how you can set up a development environment to code, debug, and run Kafka. Java-based example of using the Kafka Consumer, Producer, and Streaming APIs | Microsoft Azure. To get started using Kafka, you should download Kafka and ZooKeeper and install them on your. This solution improves the reliability of a Kafka cluster by provisioning multiple Kafka brokers and Zookeeper instances. properties; This will start the Kafka. It works on both event streams (KStream) and update streams (KTable). Go to \bin\windows directory. Prerequisites. Conclusion. Net Core Kafka consumer code is complete, therefore I will implement the Main method of the Program. The producer and the Kafka broker are inside the Docker network. jar file to your HDInsight cluster. Kafka issues - Windows. bootstrap-servers=kafka:9092 You can customize how to interact with Kafka much further, but this is a topic for another blog post. Kafka Multitopic Consumer - Reads messages from multiple Kafka topics. This tutorial demonstrates how to send and receive messages from Spring Kafka. Confluent is the complete event streaming platform built on Apache Kafka. Run the following command to start a producer. Install Java (The latest released version of JDK 1. If you're not sure which to choose, learn more about installing packages. When you configure a Kafka Consumer, you configure the consumer group name, topic, and ZooKeeper connection information. We can create a topic which then producers and consumers can produce and consume data to and from. conda create -n kafka-benchmark python=3 ipython jupyter pandas seaborn -y source activate kafka-benchmark conda install -c activisiongamescience confluent-kafka pykafka -y # will also get librdkafka pip install kafka-python # pure python version is easy to install If you would like to run this notebook please find the full repo here. sh and run it. KafkaProducer(). kafkacat provides two modes, consumer and producer. Tutorial on using Kafka with Spring Cloud Stream in a JHipster application Prerequisite. sh), using which, we can create and delete topics and check the list of topics. The new consumer was introduced in version 0. 1 of Spring Kafka, @KafkaListener methods can be configured to receive a batch of consumer records from the consumer poll operation. Kafka Streams is a client library for processing and analyzing data stored in Kafka. Kafka is a distributed streaming platform designed to build real-time pipelines and can be used as a message broker or as a replacement for a log aggregation solution for big data applications. Confluent is the complete event streaming platform built on Apache Kafka. Enter the following command to copy the kafka-producer-consumer-1. /opt/kafka); ZK_HOSTS identifies running zookeeper ensemble, e. Map configs). Step 3: Create a topic. sh and kafka-console-consumer. Step 4: Send some messages. To create the. Installing Apache Kafka on Windows 10 and create a topic, publisher and consumer to exchange. Kafka issues - Windows. Im trying to create consumer eagle_consumer. properties; This will start the Kafka. config file change the below 2 parameters. Above KafkaConsumerExample. Kafka Streams exposes a compute model that is based on keys and temporal windows. If not, it shouldn't take too long to set it up - just download, unzip and you're ready to go! On your local machine, use a new terminal to start a Kafka Consumer - set the required variables first. Creating a KafkaConsumer is very similar to creating a KafkaProducer—you create a Java Properties instance with the properties you want to pass to the consumer. 10 is similar in design to the 0. To get started using Kafka, you should download Kafka and ZooKeeper and install them on your. \bin\windows\kafka-console-consumer. A Kafka cluster is not only highly scalable and fault-tolerant, but it also has a much higher throughput compared to other message brokers such as ActiveMQ and RabbitMQ. By default the hash partitioner is used. If you're not sure which to choose, learn more about installing packages. In this article we’ll look at how we can create a producer and consumer application for Kafka in C#. Azure Sample: Basic example of using Java to create a producer and consumer that work with Kafka on HDInsight. Kafka --version 1. Step 7: Use Kafka Connect to import/export data. The current version is 0. Edit kafka. Flume to a Kafka topic. Step 3 : Start the consumer service as in the below command. Therefore, it should be easy for you to have your own Kafka cluster ready in couple of hours. Open another command prompt and and move to directory C:/kafka_2. 0 or higher only.