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Apache Solr for Indexing Data

You're reading from  Apache Solr for Indexing Data

Product type Book
Published in Dec 2015
Publisher
ISBN-13 9781783553235
Pages 160 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (18) Chapters

Apache Solr for Indexing Data
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started 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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