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  • Book Overview & Buying Mastering Elasticsearch
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Mastering Elasticsearch

Mastering Elasticsearch - Second Edition

By : Marek Rogozinski
4.3 (9)
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Mastering Elasticsearch

Mastering Elasticsearch

4.3 (9)
By: Marek Rogozinski
Buy this Book

Overview of this book

This book is for Elasticsearch users who want to extend their knowledge and develop new skills. Prior knowledge of the Query DSL and data indexing is expected.
Table of Contents (11 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Introduction to Elasticsearch
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1. Introduction to Elasticsearch
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Introducing Apache Lucene
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Introducing Elasticsearch
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The story
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Summary
2
2. Power User Query DSL
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2. Power User Query DSL
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Default Apache Lucene scoring explained
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Query rewrite explained
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Query templates
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Handling filters and why it matters
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Choosing the right query for the job
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Summary
3
3. Not Only Full Text Search
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3. Not Only Full Text Search
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Query rescoring
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Controlling multimatching
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Significant terms aggregation
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Documents grouping
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Relations between documents
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Scripting changes between Elasticsearch versions
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Summary
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4. Improving the User Search Experience
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4. Improving the User Search Experience
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Correcting user spelling mistakes
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Improving the query relevance
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Summary
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5. The Index Distribution Architecture
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5. The Index Distribution Architecture
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Choosing the right amount of shards and replicas
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Routing explained
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Altering the default shard allocation behavior
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Query execution preference
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Summary
6
6. Low-level Index Control
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6. Low-level Index Control
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Altering Apache Lucene scoring
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Choosing the right directory implementation – the store module
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NRT, flush, refresh, and transaction log
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Segment merging under control
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When it is too much for I/O – throttling explained
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Understanding Elasticsearch caching
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Summary
7
7. Elasticsearch Administration
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7. Elasticsearch Administration
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Discovery and recovery modules
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The human-friendly status API – using the Cat API
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Backing up
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Federated search
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Summary
8
8. Improving Performance
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8. Improving Performance
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Using doc values to optimize your queries
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Knowing about garbage collector
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Benchmarking queries
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Very hot threads
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Scaling Elasticsearch
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Summary
9
9. Developing Elasticsearch Plugins
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9. Developing Elasticsearch Plugins
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Creating the Apache Maven project structure
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Understanding the basics
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Creating custom REST action
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Creating the custom analysis plugin
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Summary
10
Index
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Index

Creating the custom analysis plugin

The last thing we want to discuss when it comes to custom Elasticsearch plugins is the analysis process extension. We've chosen to show how to develop a custom analysis plugin because this is sometimes very useful, for example, when you want to have the custom analysis process that you use in your company introduced, or when you want to use the Lucene analyzer or filter that is not present in Elasticsearch itself or as a plugin for it. Because creating an analysis extension is more complicated compared to what we've seen when developing a custom REST action, we decided to leave it until the end of the chapter.

Implementation details

Because developing a custom analysis plugin is the most complicated, at least from the Elasticsearch point of view and the number of classes we need to develop, we will have more things to do compared to previous examples. We will need to develop the following things:

  • The TokenFilter class extension (from the org.apache...
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Mastering Elasticsearch
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