Inside Apache Solr and Lucene (Paperback)

Rauf Aliev

ISBN 13: 9798232406806

Published by Rauf Aliev, 2025

About this Item

Paperback. How can you navigate the complex trade-offs between speed, memory consumption, and disk I/O when handling terabyte-scale data and thousands of concurrent users? This book dives deep into the core of Apache Solr and Lucene, offering answers from a system engineer's perspective. It explores the architectural decisions, data structures, and algorithms that enable these world-class search platforms to deliver exceptional performance and scalability, providing a blueprint for designing high-performance systems.The insights in this book extend beyond the Solr and Lucene ecosystem. By using these platforms as a masterclass in pragmatic engineering, it offers valuable lessons for building any complex, data-intensive application. Their open-source codebases are a treasure trove of battle-tested solutions to universal challenges in concurrency, data partitioning, and distributed coordination. This book provides a curated tour of that treasure, distilling years of development and thousands of lines of code into core principles and patterns. It offers a unique opportunity to learn from the architectural choices of systems designed for immense scale and load, delivering invaluable lessons for system architects and engineers tasked with building resilient, high-performance software. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9798232406806

Bibliographic Details

• Title: Inside Apache Solr and Lucene (Paperback)
• Publisher: Rauf Aliev
• Publication Date: 2025
• Language: English
• ISBN 13: 9798232406806
• Binding: Paperback
• Condition: new

About this title

Synopsis

How can you navigate the complex trade-offs between speed, memory consumption, and disk I/O when handling terabyte-scale data and thousands of concurrent users? This book dives deep into the core of Apache Solr and Lucene, offering answers from a system engineer's perspective. It explores the architectural decisions, data structures, and algorithms that enable these world-class search platforms to deliver exceptional performance and scalability, providing a blueprint for designing high-performance systems.

The insights in this book extend beyond the Solr and Lucene ecosystem. By using these platforms as a masterclass in pragmatic engineering, it offers valuable lessons for building any complex, data-intensive application. Their open-source codebases are a treasure trove of battle-tested solutions to universal challenges in concurrency, data partitioning, and distributed coordination. This book provides a curated tour of that treasure, distilling years of development and thousands of lines of code into core principles and patterns. It offers a unique opportunity to learn from the architectural choices of systems designed for immense scale and load, delivering invaluable lessons for system architects and engineers tasked with building resilient, high-performance software.