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You're reading from  Scaling Big Data with Hadoop and Solr, Second Edition

Product typeBook
Published inApr 2015
Publisher
ISBN-139781783553396
Edition1st Edition
Tools
SolrHadoop
Concepts
Big Data
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Author (1)
Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar

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Working with the Solr HDFS connector

Apache Solr can utilize HDFS for indexing and storing its indices on the Hadoop system. It does not utilize a MapReduce-based framework for indexing. The following diagram shows the interaction pattern between Solr and HDFS. You can read more details about Apache Hadoop at http://hadoop.apache.org/docs/r2.4.0/.

Let's understand how this can be done.

  1. To start with, the first and most important task is getting Apache Hadoop set up on your machine (proxy node configuration), or setting up a Hadoop cluster. You can download the latest Hadoop tarball or zip from http://hadoop.apache.org. The newer generation Hadoop uses advanced MapReduce (also known as YARN).

  2. Based on the requirement, you can set up a single node (Documentation: http://hadoop.apache.org/docs/r<version>/hadoop-project-dist/hadoop-common/SingleCluster.html) or a cluster (Documentation: http://hadoop.apache.org/docs/r<version>/hadoop-project-dist/hadoop-common/ClusterSetup.html).

  3. Typically...

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Scaling Big Data with Hadoop and Solr, Second Edition
Published in: Apr 2015Publisher: ISBN-13: 9781783553396
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
Read more about Hrishikesh Vijay Karambelkar

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