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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

Using RealTime Get


Solr also provides us with a way to see documents that are sent to it for indexing but are not indexed or have a commit/soft commit time in the future. This feature also makes Solr behave like a NoSQL data store, wherein we can fetch a document by unique key.

Let's see how we can use this feature in Solr by performing the following steps:

  1. Let's add the RealTime Get (/get) request handler to solr-config.xml, as follows:

      <requestHandler name="/get" class="solr.RealTimeGetHandler">
        <lst name="defaults">
          <str name="omitHeader">true</str>
          <str name="wt">json</str>
          <str name="indent">true</str>
        </lst>
      </requestHandler>
  2. After adding requestHandler, we'll need to change updateLog in updateHandler. This is because RealTime Get uses the updateLog feature to work. The updateLog element or transaction log is a feature in Solr wherein data is written to a transaction log file before indexing. During...

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