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Hadoop Real-World Solutions Cookbook- Second Edition

You're reading from   Hadoop Real-World Solutions Cookbook- Second Edition Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781784395506
Length 290 pages
Edition 2nd Edition
Tools
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Author (1):
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Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Hadoop 2.X FREE CHAPTER 2. Exploring HDFS 3. Mastering Map Reduce Programs 4. Data Analysis Using Hive, Pig, and Hbase 5. Advanced Data Analysis Using Hive 6. Data Import/Export Using Sqoop and Flume 7. Automation of Hadoop Tasks Using Oozie 8. Machine Learning and Predictive Analytics Using Mahout and R 9. Integration with Apache Spark 10. Hadoop Use Cases Index

Importing data from Kafka into HDFS using Flume


Kafka is one the most popular message queue systems being used these days. We can listen to Kafka topics and put the message data directly into HDFS using Flume. The latest Flume version supports importing data from Kafka easily. In this recipe, we are going to learn how to import Kafka messages to HDFS.

Getting ready

To perform this recipe, you should have a Hadoop cluster running with you as well as the latest version of Flume installed on it. Here I am using Flume 1.6. We also need Kafka installed and running on one of the machines. I am using kafka_2.10-0.9.0.0.

How to do it...

  1. To import the data from Kafka, first you need to have Kafka running on your machine. The following command starts Kafka and Zookeeper:

    bin/zookeeper-server-start.sh config/zookeeper.properties
    bin/kafka-server-start.sh config/server.properties
  2. Next I create a topic called weblogs which we will be listening to:

    bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication...
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