ES|QL is a new piped query language for Elasticsearch. It supports writing composable queries and it features a multi-staged execution. Unlike the other languages supported by Elasticsearch, ES|QL doesn't transpile to Query DSL or use the internal search client: it's based on its own stack. This comes with a sophisticated query analysis and optimisation steps, as well as parallelisation and vectorisation. This talk will give an overview of the execution flow of a query and touch on a few key implementation aspects, following the query from its first syntactic analysis down to Lucene delegation followed by returning the results back to the user, all in a distributed environment.

Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications. This book explores the Java-based, high-performance text search engine library used to build search capabilities in your applications. Starting with the basics of Lucene and searching, you will learn about the types of queries used in it and also take a look at scoring models. Applying this basic knowledge, you will develop a hello world app using basic Lucene queries and explore functions like scoring and document level boosting. Along the way you will also uncover the concepts of partial searching and matching in Lucene and then learn how to integrate geographical information (geospatial data) in Lucene using spatial queries and n-dimensional indexing. This will prepare you to build a location-aware search engine with a representative data set that allows location constraints to be specified during a search. You’ll also develop atext classifier using Lucene and Apache Mahout, a popular machine learning framework. After a detailed review of performance bench-marking and common issues associated with it, you’ll learn some of the best practices of tuning the performance of your application. By the end of the book you’ll be able to build your first Lucene patch, where you will not only write your patch, but also test it and ensure it adheres to community coding standards. What You’ll Learn Master the basics of Apache Lucene Utilize different query types in Apache Lucene Explore scoring and document level boosting Integrate geospatial data into your application Who This Book Is For Developers wanting to learn the finer details of Apache Lucene by developing a series of projects with it.

Lucene 4 Cookbook provides a comprehensive guide for developers looking to integrate Apache Lucene into their search applications. With over 70 hands-on recipes, this book takes you from the basics to advanced topics, enabling you to create effective and high-performing search solutions. What this Book will help me do Learn how to configure Lucene for optimal indexing and searching. Gain skills in analyzing text and implementing custom analyzers. Discover techniques for implementing near real-time search capabilities. Understand how to scale your search application to handle large datasets. Explore modular extensions to enhance and customize your search application. Author(s) Edwood Ng and Vineeth Mohan are seasoned developers with extensive experience in search technologies and open-source projects. Their practical experience with Apache Lucene is reflected in this cookbook, which focuses on real-world applications and challenges. They have a clear, engaging writing style that makes complex concepts accessible to developers. Who is it for? This book is for professional and aspiring software developers who are new to Apache Lucene but eager to explore its full capabilities. It assumes some working knowledge of Java programming, so readers should at least be familiar with basic programming concepts. It's ideal for those looking to add search functionalities to their applications effectively and efficiently.

This eBook offers practical tips and tricks as well as useful guidance on how to implement common features in LightSwitch, such as those for working with documents, business analysis, screen customization, optimal server configuration, usage with databases other than SQL Server, and so on. What you can expect to find is solutions for everyday problems, with suggestions on how to implement requirements that are very common in any business application, especially for running across distributed networks in the enterprise. In summary, what you’ll find in this eBook is how to solve problems you will face in the real world. This eBook is intended for developers who have at least basic knowledge of Microsoft Visual Studio LightSwitch, as well as some experience in creating, configuring, and publishing applications.

When Lucene first appeared, this superfast search engine was nothing short of amazing. Today, Lucene still delivers. Its high-performance, easy-to-use API, features like numeric fields, payloads, near-real-time search, and huge increases in indexing and searching speed make it the leading search tool. And with clear writing, reusable examples, and unmatched advice, Lucene in Action, Second Edition is still the definitive guide to effectively integrating search into your applications. This totally revised book shows you how to index your documents, including formats such as MS Word, PDF, HTML, and XML. It introduces you to searching, sorting, and filtering, and covers the numerous improvements to Lucene since the first edition. Source code is for Lucene 3.0.1. About the Technology About the Book What's Inside Performing hot backups Using numeric fields Tuning for indexing or searching speed Boosting matches with payloads Creating reusable analyzers Adding concurrency with threads Four new case studies Much more! About the Reader About the Authors Michael McCandless is a Lucene PMC member and committer with more than a decade of experience building search engines. Erik Hatcher and Otis Gospodnetić are the authors of the first edition of Lucene in Action and long-time contributors to Lucene, Solr, Mahout, and other Lucene-based projects. Quotes ... brings you up to speed. - Doug Cutting, Founder of Lucene, Nutch, and Hadoop This new edition has it all. - Chad Davis, Blackdog Software, Author of Struts 2 in Action Very readable, full of expert tips. - Rick Wagner, Acxiom Corp. Elegant, and easy to read - just like Lucene itself. - Shai Erera, IBM Haifa Research Labs For a Lucene developer, it's required reading. - Stuart Caborn, Thoughtworks

Apache Lucene was never built for AI-scale vector search. In this talk, I’ll show how USearch bridges the JVM–native gap, pairing Spark’s horizontal scale with native vertical speed.