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Apache Solr for Indexing Data

You're reading from   Apache Solr for Indexing Data Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783553235
Length 160 pages
Edition 1st Edition
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Author (1):
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Anshul Johri Anshul Johri
Author Profile Icon Anshul Johri
Anshul Johri
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Table of Contents (13) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Understanding Analyzers, Tokenizers, and Filters 3. Indexing Data 4. Indexing Data – The Basic Technique and Using Index Handlers 5. Indexing Data with the Help of Structured Datasources – Using DIH 6. Indexing Data Using Apache Tika 7. Apache Nutch 8. Commits, Real-Time Index Optimizations, and Atomic Updates 9. Advanced Topics – Multilanguage, Deduplication, and Others 10. Distributed Indexing 11. Case Study of Using Solr in E-Commerce Index

Distributed indexing and searching

In SolrCloud, the main goal behind distributed indexing is to send a document to any node in the cluster and have that document indexed in the shard.

Solr uses a document router to assign a document to a shard. There are two basic document routing strategies:

  • compositeId (default)
  • Implicit

In compositeId (default), when we send documents to Solr for indexing, Solr uses the hash of the document to distribute the load to multiple Solr instances. Previously in this chapter, we added a few documents to the index. Now let's see how Solr distributes the load to multiple Solr instances.

As we're running two instances of Solr locally (shard1 on 8983 and shard2 on 8987), we'll run the following two queries with the distrib flag set to false. The flag will tell Solr to run the query in a non-distributed way, which means the result that we will get will be only for the shard on which the query is running:

  • shard1:
    curl "http://localhost:8983/solr/musicCatalogue...
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