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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
4
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
5
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
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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

Understanding Elasticsearch caching

One of the very important parts of Elasticsearch, although not always visible to the users, is caching. It allows Elasticsearch to store commonly used data in memory and reuse it on demand. Of course, we can't cache everything—we usually have way more data than we have memory, and creating caches may be quite expensive when it comes to performance. In this chapter, we will look at the different caches exposed by Elasticsearch, and we will discuss how they are used and how we can control their usage. Hopefully, such information will allow you to better understand how this great search server works internally.

The filter cache

The filter cache is the simplest of all the caches available in Elasticsearch. It is used during query time to cache the results of filters that are used in queries. We already talked about filters in section Handling filters and why it matters of Chapter 2, Power User Query DSL, but let's look at a simple example. Let's assume that...

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