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Solr Cookbook - Third Edition

Solr Cookbook - Third Edition
Author: Rafał Kuć
Publisher: Packt Publishing Ltd
Total Pages: 356
Release: 2015-01-23
Genre: Computers
ISBN: 1783553162

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This book is for intermediate Solr Developers who are willing to learn and implement Pro-level practices, techniques, and solutions. This edition will specifically appeal to developers who wish to quickly get to grips with the changes and new features of Apache Solr 5.


Apache Solr 4 Cookbook

Apache Solr 4 Cookbook
Author: Rafał Kuć
Publisher:
Total Pages:
Release: 2013
Genre: Open source software
ISBN: 9781621988830

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Over 100 practical recipes to make Apache Solr faster, more reliable and return better results.


Solr Cookbook - Third Edition

Solr Cookbook - Third Edition
Author: Rafal Kuc
Publisher: Packt Pub Limited
Total Pages: 356
Release: 2015-01-23
Genre: Computers
ISBN: 9781783553150

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This book is for intermediate Solr Developers who are willing to learn and implement Pro-level practices, techniques, and solutions. This edition will specifically appeal to developers who wish to quickly get to grips with the changes and new features of Apache Solr 5.


Apache Solr 4 Cookbook

Apache Solr 4 Cookbook
Author: Rafał Kuć
Publisher: Packt Publishing
Total Pages: 0
Release: 2013
Genre: Apache (Computer file : Apache Group).
ISBN: 9781782161325

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Over 100 practical recipes to make Apache Solr faster, more reliable and return better results.


Solr in Action

Solr in Action
Author: Timothy Potter
Publisher: Simon and Schuster
Total Pages: 939
Release: 2014-03-25
Genre: Computers
ISBN: 1638351236

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Summary Solr in Action is a comprehensive guide to implementing scalable search using Apache Solr. This clearly written book walks you through well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. It will give you a deep understanding of how to implement core Solr capabilities. About the Book Whether you're handling big (or small) data, managing documents, or building a website, it is important to be able to quickly search through your content and discover meaning in it. Apache Solr is your tool: a ready-to-deploy, Lucene-based, open source, full-text search engine. Solr can scale across many servers to enable real-time queries and data analytics across billions of documents. Solr in Action teaches you to implement scalable search using Apache Solr. This easy-to-read guide balances conceptual discussions with practical examples to show you how to implement all of Solr's core capabilities. You'll master topics like text analysis, faceted search, hit highlighting, result grouping, query suggestions, multilingual search, advanced geospatial and data operations, and relevancy tuning. This book assumes basic knowledge of Java and standard database technology. No prior knowledge of Solr or Lucene is required. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside How to scale Solr for big data Rich real-world examples Solr as a NoSQL data store Advanced multilingual, data, and relevancy tricks Coverage of versions through Solr 4.7 About the Authors Trey Grainger is a director of engineering at CareerBuilder. Timothy Potter is a senior member of the engineering team at LucidWorks. The authors work on the scalability and reliability of Solr, as well as on recommendation engine and big data analytics technologies. Table of Contents PART 1 MEET SOLR Introduction to Solr Getting to know Solr Key Solr concepts Configuring Solr Indexing Text analysis PART 2 CORE SOLR CAPABILITIES Performing queries and handling results Faceted search Hit highlighting Query suggestions Result grouping/field collapsing Taking Solr to production PART 3 TAKING SOLR TO THE NEXT LEVEL SolrCloud Multilingual search Complex query operations Mastering relevancy


Solr Cookbook - Third Edition

Solr Cookbook - Third Edition
Author: Rafał Kuć
Publisher:
Total Pages: 356
Release: 2015
Genre: Data mining
ISBN:

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Solve real-time problems related to Apache Solr 4.x and 5.0 effectively with the help of over 100 easy-to-follow recipes In Detail Starting with vital information on setting up Solr, you will quickly progress to analyzing your text data through querying and performance improvement. With the help of intermediate and advanced recipes, you will learn how to index data and query Solr. Then, you will deep dive into faceting and learn how to improve Solr's performance. You will also work with SolrCloud clusters and will get to grips with the advanced functionalities of Solr. Finally, you will explore real-life situations, where Solr can be used to simplify daily collection handling. By the end of this book, you will be able to produce enhanced, optimized, and powerful results by implementing pro-level practices and techniques. What You Will Learn Acquire the skills needed to index your data in different formats, forms, and sources Overcome common problems while analyzing your data Use the faceting mechanism to get aggregated information about your data Improve your Solr instance and Solr cluster performance Get to know how to configure and use SolrCloud Make use of the highlighting and document grouping functionalities Diagnose and resolve problems with Solr instances and clusters Implement different autocomplete functionalities Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.


Mastering Apache Solr 7.x

Mastering Apache Solr 7.x
Author: Sandeep Nair
Publisher: Packt Publishing Ltd
Total Pages: 304
Release: 2018-02-22
Genre: Computers
ISBN: 1788831551

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Accelerate your enterprise search engine and bring relevancy in your search analytics Key Features A practical guide in building expertise with Indexing, Faceting, Clustering and Pagination Master the management and administration of Enterprise Search Applications and services seamlessly Handle multiple data inputs such as JSON, xml, pdf, doc, xls,ppt, csv and much more. Book Description Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites. To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs. By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands. What you will learn Design schema using schema API to access data in the database Advance querying and fine-tuning techniques for better performance Get to grips with indexing using Client API Set up a fault tolerant and highly available server with newer distributed capabilities, SolrCloud Explore Apache Tika to upload data with Solr Cell Understand different data operations that can be done while indexing Master advanced querying through Velocity Search UI, faceting and Query Re-ranking, pagination and spatial search Learn to use JavaScript, Python, SolrJ and Ruby for interacting with Solr Who this book is for The book would rightly appeal to developers, software engineers, data engineers and database architects who are building or seeking to build enterprise-wide effective search engines for business intelligence. Prior experience of Apache Solr or Java programming is must to take the best of this book.


Apache Solr Search Patterns

Apache Solr Search Patterns
Author: Jayant Kumar
Publisher: Packt Publishing Ltd
Total Pages: 316
Release: 2015-04-24
Genre: Computers
ISBN: 1783981857

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This book is for developers who already know how to use Solr and are looking at procuring advanced strategies for improving their search using Solr. This book is also for people who work with analytics to generate graphs and reports using Solr. Moreover, if you are a search architect who is looking forward to scale your search using Solr, this is a must have book for you. It would be helpful if you are familiar with the Java programming language.


Apache Solr PHP Integration

Apache Solr PHP Integration
Author: Jayant Kumar
Publisher: Packt Publishing Ltd
Total Pages: 179
Release: 2013-11-25
Genre: Computers
ISBN: 1782164936

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This book is full of step-by-step example-oriented tutorials which will show readers how to integrate Solr in PHP applications using the available libraries, and boost the inherent search facilities that Solr offers.If you are a developer who knows PHP and is interested in integrating search into your applications, this is the book for you. No advanced knowledge of Solr is required. Very basic knowledge of system commands and the command-line interface on both Linux and Windows is required. You should also be familiar with the concept of Web servers.


Taming Text

Taming Text
Author: Grant Ingersoll
Publisher: Simon and Schuster
Total Pages: 467
Release: 2012-12-20
Genre: Computers
ISBN: 1638353867

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Summary Taming Text, winner of the 2013 Jolt Awards for Productivity, is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are built. About this Book There is so much text in our lives, we are practically drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart developer a much-needed lifeline. You'll find them in thisbook. Taming Text is a practical, example-driven guide to working withtext in real applications. This book introduces you to useful techniques like full-text search, proper name recognition,clustering, tagging, information extraction, and summarization.You'll explore real use cases as you systematically absorb thefoundations upon which they are built.Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Written for Java developers, the book requires no prior knowledge of GWT. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. Winner of 2013 Jolt Awards: The Best Books—one of five notable books every serious programmer should read. What's Inside When to use text-taming techniques Important open-source libraries like Solr and Mahout How to build text-processing applications About the Authors Grant Ingersoll is an engineer, speaker, and trainer, a Lucenecommitter, and a cofounder of the Mahout machine-learning project. Thomas Morton is the primary developer of OpenNLP and Maximum Entropy. Drew Farris is a technology consultant, software developer, and contributor to Mahout,Lucene, and Solr. "Takes the mystery out of verycomplex processes."—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University Table of Contents Getting started taming text Foundations of taming text Searching Fuzzy string matching Identifying people, places, and things Clustering text Classification, categorization, and tagging Building an example question answering system Untamed text: exploring the next frontier