Scaling apache solr : optimize your searches using high-performance enterprise search repositories with apache solr / Hrishikesh Vijay Karambelkar.

Format:

Book

Author/Creator:

Karambelkar, Hrishikesh Vijay, author.

Series:

Community experience distilled

Language:

English

Subjects (All):

Lucene (Electronic resource).

Search engines--Programming.

Search engines.

Physical Description:

1 online resource (298 p.)

Edition:

1st edition

Other Title:

Optimize your searches using high-performance enterprise search repositories with Apache Solr

Place of Publication:

Bradford, England : Packt Publishing, 2014.

Language Note:

English

System Details:

text file

Biography/History:

Vijay Karambelkar Hrishikesh: Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.

Summary:

This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.

Contents:

Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Understanding Apache Solr; Challenges in enterprise search; Understanding Apache Solr; Features of Apache Solr; Solr for end users; Powerful full text search; Search through rich information; Results ranking, pagination, and sorting; Facets for better browsing experience; Advanced search capabilities; Administration; Apache Solr architecture; Storage; Solr application; Integration; Client APIs and SolrJ client; Other interfaces; Practical use cases for Apache Solr

Enterprise search for a job search agencyProblem statement; Approach; Enterprise search for energy industry; Problem statement; Approach; Summary; Chapter 2: Getting Started with Apache Solr; Setting up Apache Solr; Prerequisites; Running Solr on Jetty; Running Solr on Tomcat; Solr administration; What's next?; Common problems and solution; Understanding the Solr structure; The Solr home directory structure; Solr navigation; Configuring the Apache Solr for enterprise; Defining a Solr schema; Solr fields; Dynamic Fields in Solr; Copying the fields; Field types

Other important elements in the Solr schemaConfiguring Solr parameters; solr.xml and Solr core; solrconfig.xml; The Solr plugin; Other configurations; Understanding SolrJ; Summary; Chapter 3: Analyzing Data with Apache Solr; Understanding enterprise data; Categorizing by characteristics; Categorizing by access pattern; Categorizing by data formats; Loading data using native handlers; Quick and simple data loading - post tool; Working with JSON, XML, and CSV; Handling JSON data; Working with CSV data; Working with XML data; Working with rich documents; Understanding Apache Tika

Using Solr Cell (ExtractingRequestHandler)Adding metadata to your rich documents; Importing structured data from the database; Configuring the data source; Importing data in Solr; Full import; Delta import; Loading RDBMS tables in Solr; Advanced topics with Solr; Deduplication; Extracting information from scanned documents; Searching through images using LIRE; Summary; Chapter 4: Designing Enterprise Search; Designing aspects for enterprise search; Identifying requirements; Matching user expectations through relevance; Access to searched entities and user interface

Improving search performance and ensuring instance scalabilityWorking with applications through federated search; Other differentiators - mobiles, linguistic search, and security; Enterprise search data-processing patterns; Standalone search engine server; Distributed enterprise search pattern; The replicated enterprise search pattern; Distributed and replicated; Data integrating pattern for search; Data import by enterprise search; Applications pushing data; Middleware-based integration; Case study - designing an enterprise knowledge repository search for software IT services

Gathering requirements

Notes:

Includes index.

Includes bibliographical references and index.

Description based on online reosurce; title from PDF title page (ebrary, viewed August 9, 2014).

ISBN:

9781783981755

178398175X

OCLC:

885019803