Scaling Apache Solr
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Scaling Big Data With Hadoop And Solr Second Edition
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Author : Hrishikesh Vijay Karambelkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-04-27
Scaling Big Data With Hadoop And Solr Second Edition written by Hrishikesh Vijay Karambelkar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-27 with Computers categories.
This book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. No prior knowledge of Apache Hadoop and Apache Solr/Lucene technologies is required.
Scaling Apache Solr
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Author : Hrishikesh Vijay Karambelkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-07-25
Scaling Apache Solr written by Hrishikesh Vijay Karambelkar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-25 with Computers categories.
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.
Scaling Big Data With Hadoop And Solr
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Author : Hrishikesh Karambelkar
language : en
Publisher: Packt Publishing
Release Date : 2013
Scaling Big Data With Hadoop And Solr written by Hrishikesh Karambelkar and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Apache Hadoop categories.
As data grows exponentially day-by-day, extracting information becomes a tedious activity in itself. Technologies like Hadoop are trying to address some of the concerns, while Solr provides high-speed faceted search. Bringing these two technologies together is helping organizations resolve the problem of information extraction from Big Data by providing excellent distributed faceted search capabilities.Scaling Big Data with Hadoop and Solr is a step-by-step guide that helps you build high performance enterprise search engines while scaling data. Starting with the basics of Apache Hadoop and Solr, this book then dives into advanced topics of optimizing search with some interesting real-world use cases and sample Java code.Scaling Big Data with Hadoop and Solr starts by teaching you the basics of Big Data technologies including Hadoop and its ecosystem and Apache Solr. It explains the different approaches of scaling Big Data with Hadoop and Solr, with discussion regarding the applicability, benefits, and drawbacks of each approach. It then walks readers through how sharding and indexing can be performed on Big Data followed by the performance optimization of Big Data search. Finally, it covers some real-world use cases for Big Data scaling.With this book, you will learn everything you need to know to build a distributed enterprise search platform as well as how to optimize this search to a greater extent resulting in maximum utilization of available resources.
Mastering Apache Solr 7 X
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Author : Sandeep Nair
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-22
Mastering Apache Solr 7 X written by Sandeep Nair and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-22 with Computers categories.
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.
Scaling Big Data With Hadoop And Solr Second Edition
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Author : Hrishikesh Vijay Karambelkar
language : en
Publisher: Packt Publishing
Release Date : 2015-04-30
Scaling Big Data With Hadoop And Solr Second Edition written by Hrishikesh Vijay Karambelkar and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-30 with Computers categories.
Solr In Action
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Author : Timothy Potter
language : en
Publisher: Simon and Schuster
Release Date : 2014-03-25
Solr In Action written by Timothy Potter and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-25 with Computers categories.
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
Lucene And Solr The Definitive Guide
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Author : Jason Rutherglen
language : en
Publisher: O'Reilly Media, Incorporated
Release Date : 2013-05-15
Lucene And Solr The Definitive Guide written by Jason Rutherglen and has been published by O'Reilly Media, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-15 with Computers categories.
With the intense interest in big data and the growing complexity of Apache Solr applications, application developers, business professionals, and end-users alike are clamoring for a more in-depth look at Apache Lucene and Solr. This comprehensive one-stop guide helps you gain a thorough understanding of Lucene’s underlying architecture so you can design, implement, and tune successful Solr applications. High-speed inverted indexes are inherently difficult to develop. That’s why more and more enterprises are implementing the Solr search server and Lucene Core search technology for complex text retrieval, as a NoSQL system for big data, or as a replacement for relational database systems that require horizontal scalability. With this guide’s complete coverage of both Lucene and Solr, you’ll get a unified view of their value and applicability to your big data projects. Learn how Lucene works from the inside out Get examples for using both Lucene and Solr APIs Configure Solr for optimal production use Learn how to use Solr with Hadoop
Apache Solr Search Patterns
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Author : Jayant Kumar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-04-24
Apache Solr Search Patterns written by Jayant Kumar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-24 with Computers categories.
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
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Author : Dikshant Shahi
language : en
Publisher:
Release Date : 2015
Apache Solr written by Dikshant Shahi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Build an enterprise search engine using Apache Solr: index and search documents; ingest data from varied sources; apply various text processing techniques; utilize different search capabilities; and customize Solr to retrieve the desired results. Apache Solr: A Practical Approach to Enterprise Search explains each essential concept-backed by practical and industry examples--to help you attain expert-level knowledge. The book, which assumes a basic knowledge of Java, starts with an introduction to Solr, followed by steps to setting it up, indexing your first set of documents, and searching them. It then introduces you to information retrieval and its implementation in Apache Solr; this will help you understand your search problem, decide the approach to build an effective solution, and use various metrics to evaluate the results. The book next covers the schema design and techniques to build a text analysis chain for cleansing, normalizing and enriching your documents and addressing different types of search queries. It describes various popular matching techniques which are generally applied to improve the precision and recall of searches. You will learn the end-to-end process of data ingestion from varied sources, metadata extraction, pre-processing and transformation of content, various search components, query parsers and other advanced search capabilities. After covering out-of-the-box features, Solr expert Dikshant Shahi dives into ways you can customize Solr for your business and its specific requirements, along with ways to plug in your own components. Most important, you will learn about implementations for Solr scoring, factors affecting the document score, and tuning the score for the application at hand. The book explains why textual scoring is not sufficient for practical ranking of documents and ways to integrate real-world factors for contributing to the document ranking. You'll see how to influence user experience by providing suggestions and recommendations. You'll also see integration of Solr with important related technologies such as OpenNLP and Tika. Additionally, you will learn about scaling Solr using SolrCloud. This book concludes with coverage of semantic search capabilities, which is crucial for taking the search experience to the next level. By the end of Apache Solr, you will be proficient in designing and developing your search engine. .
Apache Solr Easy Handbook
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Author : Hiram Moody
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-11-16
Apache Solr Easy Handbook written by Hiram Moody and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-16 with categories.
Solr (pronounced "solar") is an open source enterprise search platform, written in Java, from the Apache Lucene project. Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features and rich document (e.g., Word, PDF) handling. Providing distributed search and index replication, Solr is designed for scalability and fault tolerance. Solr is the second-most popular enterprise search engine after Elasticsearch. Solr runs as a standalone full-text search server. It uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it usable from most popular programming languages. Solr's external configuration allows it to be tailored to many types of application without Java coding, and it has a plugin architecture to support more advanced customization.