Apache Lucene
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Lucene in Action
Author: Otis Gospodnetic
language: en
Publisher: Simon and Schuster
Release Date: 2010-07-08
When Lucene first hit the scene five years ago, it was nothing short ofamazing. By using this open-source, highly scalable, super-fast search engine,developers could integrate search into applications quickly and efficiently.A lot has changed since then-search has grown from a "nice-to-have" featureinto an indispensable part of most enterprise applications. Lucene now powerssearch in diverse companies including Akamai, Netflix, LinkedIn,Technorati, HotJobs, Epiphany, FedEx, Mayo Clinic, MIT, New ScientistMagazine, and many others. Some things remain the same, though. Lucene still delivers high-performancesearch features in a disarmingly easy-to-use API. Due to its vibrant and diverseopen-source community of developers and users, Lucene is relentlessly improving,with evolutions to APIs, significant new features such as payloads, and ahuge increase (as much as 8x) in indexing speed with Lucene 2.3. And with clear writing, reusable examples, and unmatched advice on bestpractices, Lucene in Action, Second Edition is still the definitive guide todeveloping with Lucene. 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.
Architecting Intelligent Search Systems: From Lucene to the Cloud 2025
PREFACE In today’s data-driven world, the ability to efficiently search through vast amounts of information is more important than ever. From simple web search engines to complex enterprise-level information retrieval systems, intelligent search technologies power critical applications across industries such as e-commerce, healthcare, finance, and beyond. Over the years, search systems have evolved from basic keyword matching algorithms to highly sophisticated, machine learning-powered solutions capable of delivering personalized, relevant, and real-time results. Architecting Intelligent Search Systems: From Lucene to the Cloud explores the transformation of search technology, tracing its journey from the early days of Apache Lucene, one of the most influential open-source search engines, to modern cloud-based architectures powered by artificial intelligence (AI) and machine learning. This book provides a comprehensive guide for understanding the core principles, technologies, and design patterns that enable the creation of intelligent search systems capable of handling complex, large-scale data. The book is intended for a wide range of readers, including software architects, developers, and engineers involved in the design, implementation, and optimization of search systems. Whether you’re building an internal search solution for your enterprise or developing a consumer-facing search product, this book will equip you with the knowledge and tools to make informed decisions and create highly scalable, efficient, and intelligent search architectures. We begin with a deep dive into the fundamentals of search technologies, exploring the architecture of Apache Lucene, the open-source search library that laid the foundation for modern search engines. We examine the key concepts behind indexing, tokenization, ranking, and query execution, offering insights into the power of these early search systems and how they shaped the development of future search technologies. As we move forward, we explore how these fundamental principles have evolved with the rise of cloud computing. Cloud-based search architectures have changed the landscape by providing on-demand scalability, flexibility, and the ability to process massive amounts of data across distributed systems. Leveraging cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, businesses can now deploy search systems that scale to meet the demands of big data, deliver real-time results, and integrate seamlessly with other cloud-based services and applications. The book also delves into the integration of machine learning and artificial intelligence into search systems, showcasing how these technologies enhance search capabilities. From semantic search that understands the context behind queries to recommendation engines that predict user preferences, AI-driven search solutions are setting new standards in personalization, relevance, and efficiency. We examine the architectural decisions needed to integrate machine learning models into search systems, as well as how these models can be trained, deployed, and continuously improved. Another important aspect of modern search systems is their ability to handle multilingual content, rich media (such as images, video, and audio), and complex query languages. This book explores the challenges and techniques used in developing search engines that can support a wide variety of data types, from traditional text to more complex unstructured data, and how to handle them efficiently. Ultimately, Architecting Intelligent Search Systems is not just about the technologies themselves; it is about how to architect and design search systems that meet real-world business needs. Through detailed examples, case studies, and best practices, the book illustrates how to approach search system architecture from both a technical and strategic perspective, ensuring that search solutions are not only powerful but also aligned with organizational goals and user requirements. Whether you are looking to understand the evolution of search technology, architect a robust and intelligent search system, or explore the latest trends in cloud-based and AI-powered search solutions, this book will serve as a valuable resource in your journey. By the end of this book, you will be equipped with the knowledge to design, build, and optimize search systems that deliver relevant, real-time results, ensuring a seamless experience for users and unlocking the potential of your data. Authors
Wicked Cool Java
Containing 101 fun, interesting, and useful ways to get more out of Java, this title targets developers and system architects who have some basic Java knowledge but may not be familiar with the wide range of libraries available.