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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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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Working with SolrCloud

SolrCloud provides a new way to enable distributed enterprise search using a Apache Solr in enterprises. Previously, with the standard distributed Solr support, lot of the manual work had been automated by SolrCloud. With the introduction of SolrCloud, the manual steps like configuring solr-config.xml to talk with shards, adding documents to the shards, and so on, work became automatic. Unlike the traditional approach of master-slave based distributed Solr, SolrCloud provides a leader-replica-based approach as its implementation. SolrCloud runs on top of Apache ZooKeeper. First, let's understand the ZooKeeper.

Why ZooKeeper?

SolrCloud contains a cluster of nodes, which use Apache ZooKeeper to talk with each other. Apache ZooKeeper is responsible for maintaining co-ordination among various nodes. Besides co-ordinating among nodes, it also maintains configuration information, and group services to the distributed system. Due to its in-memory management of information...

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