Instant Apache Solr for Indexing Data How-to

Nobody pretends indexing data with Apache Solr is a walk in the park, but this book eases the path with plain language explanations and involving projects. Perfect for developers with sophisticated indexing ambitions.
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Instant Apache Solr for Indexing Data How-to

Alexandre Rafalovitch

Nobody pretends indexing data with Apache Solr is a walk in the park, but this book eases the path with plain language explanations and involving projects. Perfect for developers with sophisticated indexing ambitions.
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Book Details

ISBN 139781782164845
Paperback90 pages

Book Description

Content and data searching is a very important part of the modern user experience, and before something can be searched, it has to be indexed. Indexing is a hidden part of the process that has a surprisingly strong impact on the overall user experience. From speed, to faceting, to multilingual support, everything depends on correct indexing.

Instant Apache Solr for Indexing Data How-to is an example-driven guide that will take you on a journey from the basic collection of data to a multi-lingual, multi-field, multi-type schema. By the end of the book, you will know how to get your data ready for searches and how to tune the process to achieve the required search use-cases.

Instant Apache Solr for Indexing Data How-to is a friendly, practical guide that will show you how to index your data with Solr. This book will explain how Solr’s basic blocks actually work and fit together. You will then explore additional settings, pipelines, and configuration changes to achieve ever more complex goals. You will then cover how to push data into Solr and when to get Solr to pull the data. You will then master indexing textual and binary context before enabling multilingual content to be searched.

Table of Contents

Chapter 1: Instant Apache Solr for Indexing Data How-to
Creating your first collection (Simple)
Running several collections at once (Simple)
Importing multivalued fields (Simple)
Using Solr's XML format (Simple)
Indexing text (Intermediate)
Indexing text – in depth (Advanced)
Indexing binary content on the server (Intermediate)
Pulling data from XML with DataImportHandler (Intermediate)
Pulling data from the database with DIH (Intermediate)
Commits and near real-time optimizations (Advanced)
Using the UpdateRequestProcessor plugins (Intermediate)
Client indexing with Java (Intermediate)
Atomic updates (Intermediate)
Indexing multiple languages (Advanced)

What You Will Learn

  • Produce a basic Solr schema ready for experimentation and exploration
  • Run several collections on one Solr server
  • Import, search, and facet simple and multi-valued fields
  • Create your own field type analyzer chains for ultimate indexing flexibility
  • Detect, index, and partition multi-lingual content
  • Use CSV, XML, JSON, and binary formats to get data into Solr
  • Pull data from external files and databases using DataImportHandler
  • Write a Java client using the SolrJ library in both remote and embedded mode
  • Change data already indexed using atomic updates
  • Reshape incoming data with UpdateRequestProcessors
  • Control the visibility of data with soft and hard commits

Authors

Table of Contents

Chapter 1: Instant Apache Solr for Indexing Data How-to
Creating your first collection (Simple)
Running several collections at once (Simple)
Importing multivalued fields (Simple)
Using Solr's XML format (Simple)
Indexing text (Intermediate)
Indexing text – in depth (Advanced)
Indexing binary content on the server (Intermediate)
Pulling data from XML with DataImportHandler (Intermediate)
Pulling data from the database with DIH (Intermediate)
Commits and near real-time optimizations (Advanced)
Using the UpdateRequestProcessor plugins (Intermediate)
Client indexing with Java (Intermediate)
Atomic updates (Intermediate)
Indexing multiple languages (Advanced)

Book Details

ISBN 139781782164845
Paperback90 pages
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