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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 atomic updates in Solr


Atomic updates in Solr support the following sets of modifiers:

  • set: This modifier sets or replaces a particular indexed field value

  • add: This modifier inserts an additional value into the multi-valued fields

  • inc: This modifier increments a numeric value

Let's see how we can update our index documents using atomic updates. To do this, we'll use the musicCatalog commit core that we've created in this chapter.

Let's index a new music album with some wrong values, which we will later update using the atomic update feature:

$ curl http://localhost:8983/solr/musicCatalog-commit/update -H "Content-Type: text/xml" --data-binary @sampleAlbumData4.xml
<?xml version="1.0" encoding="UTF-8"?>
<response>
<lst name="responseHeader"><int name="status">0</int><int name="QTime">134</int></lst>
</response>

We can navigate to the Solr query browser and search for the indexed data. The following figure shows the indexed data data...

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