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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

Indexing data from MySQL


In this section, we'll see how we can set up a MySQL database in Solr to index our data from the database to Solr directly. To do this, we'll use the musicCatalog schema, which we developed in previous chapters, and we will create a similar table to hold the data in the MySQL database.

Configuring datasource

We're assuming that you already have a MySQL database running on your machine. In the MySQL database, we'll need to create the following table to hold the musicCatalogue data.

Let's go ahead and create a database called solrIndexingExample in MySQL. We can use the following SQL to create a new database:

create database solrIndexingExample;

use solrIndexingExample;

After we have created the database, we'll need to create a table that will hold our data for musicCatalog. We can use this SQL query to create a table:

CREATE TABLE musiccatalog (
  songId int(11) NOT NULL AUTO_INCREMENT,
  songName varchar(250) DEFAULT NULL,
  artistName varchar(250) DEFAULT NULL,
  albumArtist...
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