WARNING: The 2.x versions of Elasticsearch have passed their EOL dates. If you are running a 2.x version, we strongly advise you to upgrade.
This documentation is no longer maintained and may be removed. For the latest information, see the current Elasticsearch documentation.
How to Read This Bookedit
Elasticsearch tries very hard to make the complex simple, and to a large degree it succeeds in this. That said, search and distributed systems are complex, and sooner or later you have to get to grips with some of the complexity in order to take full advantage of Elasticsearch.
Complexity, however, is not the same as magic. We tend to view complex systems as magical black boxes that respond to incantations, but there are usually simple processes at work within. Understanding these processes helps to dispel the magic—instead of hoping that the black box will do what you want, understanding gives you certainty and clarity.
This is a definitive guide: we help you not only to get started with Elasticsearch, but also to tackle the deeper, more interesting topics. These include Life Inside a Cluster, Distributed Document Store, Distributed Search Execution, and Inside a Shard, which are not essential reading but do give you a solid understanding of the internals.
The first part of the book should be read in order as each chapter builds on the previous one (although you can skim over the chapters just mentioned). Later chapters such as Proximity Matching and Partial Matching are more standalone and can be referred to as needed.
- Elasticsearch - The Definitive Guide:
- Foreword
- Preface
- Getting Started
- You Know, for Search…
- Installing and Running Elasticsearch
- Talking to Elasticsearch
- Document Oriented
- Finding Your Feet
- Indexing Employee Documents
- Retrieving a Document
- Search Lite
- Search with Query DSL
- More-Complicated Searches
- Full-Text Search
- Phrase Search
- Highlighting Our Searches
- Analytics
- Tutorial Conclusion
- Distributed Nature
- Next Steps
- Life Inside a Cluster
- Data In, Data Out
- What Is a Document?
- Document Metadata
- Indexing a Document
- Retrieving a Document
- Checking Whether a Document Exists
- Updating a Whole Document
- Creating a New Document
- Deleting a Document
- Dealing with Conflicts
- Optimistic Concurrency Control
- Partial Updates to Documents
- Retrieving Multiple Documents
- Cheaper in Bulk
- Distributed Document Store
- Searching—The Basic Tools
- Mapping and Analysis
- Full-Body Search
- Sorting and Relevance
- Distributed Search Execution
- Index Management
- Inside a Shard
- You Know, for Search…
- Search in Depth
- Structured Search
- Full-Text Search
- Multifield Search
- Proximity Matching
- Partial Matching
- Controlling Relevance
- Theory Behind Relevance Scoring
- Lucene’s Practical Scoring Function
- Query-Time Boosting
- Manipulating Relevance with Query Structure
- Not Quite Not
- Ignoring TF/IDF
- function_score Query
- Boosting by Popularity
- Boosting Filtered Subsets
- Random Scoring
- The Closer, The Better
- Understanding the price Clause
- Scoring with Scripts
- Pluggable Similarity Algorithms
- Changing Similarities
- Relevance Tuning Is the Last 10%
- Dealing with Human Language
- Aggregations
- Geolocation
- Modeling Your Data
- Administration, Monitoring, and Deployment