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Scaling Big Data with Hadoop and Solr, Second Edition

You're reading from   Scaling Big Data with Hadoop and Solr, Second Edition Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781783553396
Length 166 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
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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