Elasticsearch in Action, Second Edition, Video Edition

Video description

In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.

Build powerful, production-ready search applications using the incredible features of Elasticsearch.

In Elasticsearch in Action, Second Edition you will discover:

  • Architecture, concepts, and fundamentals of Elasticsearch
  • Installing, configuring, and running Elasticsearch and Kibana
  • Creating an index with custom settings
  • Data types, mapping fundamentals, and templates
  • Fundamentals of text analysis and working with text analyzers
  • Indexing, deleting, and updating documents
  • Indexing data in bulk, and reindexing and aliasing operations
  • Learning search concepts, relevancy scores, and similarity algorithms

Elasticsearch in Action, Second Edition teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You’ll deep dive into design principles, search architectures, and Elasticsearch’s essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You’ll even explore real-world use cases for full text search, data visualizations, and machine learning. Plus, its comprehensive nature means you’ll keep coming back to the book as a handy reference!

About the Technology
Create fully professional-grade search engines with Elasticsearch and Kibana! Rewritten for the latest version of Elasticsearch, this practical book explores Elasticsearch’s high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs.

About the Book
Elasticsearch in Action, Second Edition teaches you how to add modern search features to websites and applications using Elasticsearch 8. In it, you’ll quickly progress from the basics of installation and configuring clusters, to indexing documents, advanced aggregations, and putting your servers into production. You’ll especially appreciate the mix of technical detail with techniques for designing great search experiences.

What's Inside
  • Understanding search architecture
  • Full text and term-level search queries
  • Analytics and aggregations
  • High-level visualizations in Kibana
  • Configure, scale, and tune clusters


About the Reader
For application developers comfortable with scripting and command-line applications.

About the Author
Madhusudhan Konda is a full-stack lead engineer, architect, mentor, and conference speaker. He delivers live online training on Elasticsearch and the Elastic Stack.

Quotes
Madhu’s passion comes across in the depth and breadth of this book, the enthusiastic tone, and the hands-on examples. I hope you will take what you have read and put it ‘in action’.
- From the Foreword by Shay Banon, Founder of Elasticsearch

Practical and well-written. A great starting point for beginners and a comprehensive guide for more experienced professionals.
- Simona Russo, Serendipity

The author’s excitement is evident from the first few paragraphs. Couple that with extensive experience and technical prowess, and you have an instant classic.
- Herodotos Koukkides and Semi Koen, Global Japanese Financial Institution

Table of contents

  1. Chapter 1. Overview
  2. Chapter 1. Search is the new normal
  3. Chapter 1. Modern search engines
  4. Chapter 1. Elasticsearch overview
  5. Chapter 1. Popular adoption
  6. Chapter 1. Generative AI and modern search
  7. Chapter 1. Summary
  8. Chapter 2. Getting started
  9. Chapter 2. Retrieving data
  10. Chapter 2. Full-text search
  11. Chapter 2. Term-level queries
  12. Chapter 2. Compound queries
  13. Chapter 2. Aggregations
  14. Chapter 2. Summary
  15. Chapter 3. Architecture
  16. Chapter 3. The building blocks
  17. Chapter 3. Inverted indexes
  18. Chapter 3. Relevancy
  19. Chapter 3. Routing algorithm
  20. Chapter 3. Scaling
  21. Chapter 3. Summary
  22. Chapter 4. Mapping
  23. Chapter 4. Dynamic mapping
  24. Chapter 4. Explicit mapping
  25. Chapter 4. Data types
  26. Chapter 4. Core data types
  27. Chapter 4. Advanced data types
  28. Chapter 4. Fields with multiple data types
  29. Chapter 4. Summary
  30. Chapter 5. Working with documents
  31. Chapter 5. Retrieving documents
  32. Chapter 5. Manipulating responses
  33. Chapter 5. pdating documents
  34. Chapter 5. Deleting documents
  35. Chapter 5. Working with documents in bulk
  36. Chapter 5. Reindexing documents
  37. Chapter 5. Summary
  38. Chapter 6. Indexing operations
  39. Chapter 6. Creating indexes
  40. Chapter 6. Reading indexes
  41. Chapter 6. Deleting indexes
  42. Chapter 6. Closing and opening indexes
  43. Chapter 6. Index templates
  44. Chapter 6. Monitoring and managing indexes
  45. Chapter 6. Advanced operations
  46. Chapter 6. Index lifecycle management (ILM)
  47. Chapter 6. Summary
  48. Chapter 7. Text analysis
  49. Chapter 7. Analyzer modules
  50. Chapter 7. Built-in analyzers
  51. Chapter 7. Custom analyzers
  52. Chapter 7. Specifying analyzers
  53. Chapter 7. Character filters
  54. Chapter 7. Tokenizers
  55. Chapter 7. Token filters
  56. Chapter 7. Summary
  57. Chapter 8. Introducing search
  58. Chapter 8. How does search work?
  59. Chapter 8. Movie sample data
  60. Chapter 8. Search fundamentals
  61. Chapter 8. Anatomy of a request and a response
  62. Chapter 8. URI request searches
  63. Chapter 8. Query DSL
  64. Chapter 8. Search features
  65. Chapter 8. Summary
  66. Chapter 9. Term-level search
  67. Chapter 9. The term query
  68. Chapter 9. The terms query
  69. Chapter 9. The ids query
  70. Chapter 9. The exists query
  71. Chapter 9. The range query
  72. Chapter 9. The wildcard query
  73. Chapter 9. The prefix query
  74. Chapter 9. Fuzzy queries
  75. Chapter 9. Summary
  76. Chapter 10. Full-text searches
  77. Chapter 10. Sample data
  78. Chapter 10. The match_all query
  79. Chapter 10. The match_none query
  80. Chapter 10. The match query
  81. Chapter 10. The match_phrase query
  82. Chapter 10. The match_phrase_prefix query
  83. Chapter 10. The multi_match query
  84. Chapter 10. The query_string query
  85. Chapter 10. Fuzzy queries
  86. Chapter 10. Simple string queries
  87. Chapter 10. The simple_query_string query
  88. Chapter 10. Summary
  89. Chapter 11. Compound queries
  90. Chapter 11. Compound queries
  91. Chapter 11. The Boolean (bool) query
  92. Chapter 11. Constant scores
  93. Chapter 11. The boosting query
  94. Chapter 11. The disjunction max (dis_max) query
  95. Chapter 11. The function_score query
  96. Chapter 11. Summary
  97. Chapter 12. Advanced search
  98. Chapter 12. Geospatial data types
  99. Chapter 12. Geospatial queries
  100. Chapter 12. The geo_bounding_box query
  101. Chapter 12. The geo_distance query
  102. Chapter 12. The geo_shape query
  103. Chapter 12. The shape query
  104. Chapter 12. The span query
  105. Chapter 12. Specialized queries
  106. Chapter 12. Summary
  107. Chapter 13. Aggregations
  108. Chapter 13. Metric aggregations
  109. Chapter 13. Bucket aggregations
  110. Chapter 13. Parent and sibling aggregations
  111. Chapter 13. Pipeline aggregations
  112. Chapter 13. Summary
  113. Chapter 14. Administration
  114. Chapter 14. Node communication
  115. Chapter 14. Shard sizing
  116. Chapter 14. Snapshots
  117. Chapter 14. Advanced configurations
  118. Chapter 14. Cluster masters
  119. Chapter 14. Summary
  120. Chapter 15. Performance and troubleshooting
  121. Chapter 15. Index speed problems
  122. Chapter 15. Unstable clusters
  123. Chapter 15. Circuit breakers
  124. Chapter 15. Final words
  125. Chapter 15. Summary
  126. Appendix B. Ingest pipelines
  127. Appendix B. Mechanics of ingest pipelines
  128. Appendix B. Loading PDFs into Elasticsearch
  129. Appendix C. Clients
  130. Appendix C. Background
  131. Appendix C. Maven/Gradle project setup
  132. Appendix C. Initialization
  133. Appendix C. Namespace clients
  134. Appendix C. Creating an index
  135. Appendix C. Indexing documents
  136. Appendix C. Searching

Product information

  • Title: Elasticsearch in Action, Second Edition, Video Edition
  • Author(s): Madhusudhan Konda
  • Release date: December 2023
  • Publisher(s): Manning Publications
  • ISBN: None