8. Improving Performance | Mastering Elasticsearch

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Mastering Elasticsearch - Second Edition

By : Marek Rogozinski

4.3 (9)

Mastering Elasticsearch

4.3 (9)

By: Marek Rogozinski

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.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Introduction to Elasticsearch

1. Introduction to Elasticsearch

Introducing Apache Lucene

Introducing Elasticsearch

The story

Summary

2. Power User Query DSL

2. Power User Query DSL

Default Apache Lucene scoring explained

Query rewrite explained

Query templates

Handling filters and why it matters

Choosing the right query for the job

Summary

3. Not Only Full Text Search

3. Not Only Full Text Search

Query rescoring

Controlling multimatching

Significant terms aggregation

Documents grouping

Relations between documents

Scripting changes between Elasticsearch versions

Summary

4. Improving the User Search Experience

4. Improving the User Search Experience

Correcting user spelling mistakes

Improving the query relevance

Summary

5. The Index Distribution Architecture

5. The Index Distribution Architecture

Choosing the right amount of shards and replicas

Routing explained

Altering the default shard allocation behavior

Query execution preference

Summary

6. Low-level Index Control

6. Low-level Index Control

Altering Apache Lucene scoring

Choosing the right directory implementation – the store module

NRT, flush, refresh, and transaction log

Segment merging under control

When it is too much for I/O – throttling explained

Understanding Elasticsearch caching

Summary

7. Elasticsearch Administration

7. Elasticsearch Administration

Discovery and recovery modules

The human-friendly status API – using the Cat API

Backing up

Federated search

Summary

8. Improving Performance

8. Improving Performance

Using doc values to optimize your queries

Knowing about garbage collector

Benchmarking queries

Very hot threads

Scaling Elasticsearch

Summary

9. Developing Elasticsearch Plugins

9. Developing Elasticsearch Plugins

Creating the Apache Maven project structure

Understanding the basics

Creating custom REST action

Creating the custom analysis plugin

Summary

Index

Index

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Summary

In this chapter, we were focused on the performance and scaling of Elasticsearch. We looked at how doc values can help us with improving the query performance, how garbage collector works, and what to look at when changing its configuration. We benchmarked our queries and we saw what the Hot Threads API is. Finally, we discussed how to scale Elasticsearch and how to prepare it for high querying and indexing use cases.

In the next chapter, we will write some code. We will create the Apache Maven project used to write Elasticsearch plugins. We will write a custom REST action to extend the Elasticsearch functionality. In addition to this, we will learn what needs to be done in order to introduce new analysis plugins for Elasticsearch, and we will create such plugins.

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Programming languages

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