Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Mastering Elasticsearch
  • Table Of Contents Toc
Mastering Elasticsearch

Mastering Elasticsearch - Second Edition

By : Marek Rogozinski
4.3 (9)
Buy this Book
close
close
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)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. Introduction to Elasticsearch
Icon
1. Introduction to Elasticsearch
Icon
Introducing Apache Lucene
Icon
Introducing Elasticsearch
Icon
The story
Icon
Summary
2
2. Power User Query DSL
Icon
2. Power User Query DSL
Icon
Default Apache Lucene scoring explained
Icon
Query rewrite explained
Icon
Query templates
Icon
Handling filters and why it matters
Icon
Choosing the right query for the job
Icon
Summary
3
3. Not Only Full Text Search
Icon
3. Not Only Full Text Search
Icon
Query rescoring
Icon
Controlling multimatching
Icon
Significant terms aggregation
Icon
Documents grouping
Icon
Relations between documents
Icon
Scripting changes between Elasticsearch versions
Icon
Summary
4
4. Improving the User Search Experience
Icon
4. Improving the User Search Experience
Icon
Correcting user spelling mistakes
Icon
Improving the query relevance
Icon
Summary
5
5. The Index Distribution Architecture
Icon
5. The Index Distribution Architecture
Icon
Choosing the right amount of shards and replicas
Icon
Routing explained
Icon
Altering the default shard allocation behavior
Icon
Query execution preference
Icon
Summary
6
6. Low-level Index Control
chevron up
Icon
6. Low-level Index Control
Icon
Altering Apache Lucene scoring
Icon
Choosing the right directory implementation – the store module
Icon
NRT, flush, refresh, and transaction log
Icon
Segment merging under control
Icon
When it is too much for I/O – throttling explained
Icon
Understanding Elasticsearch caching
Icon
Summary
7
7. Elasticsearch Administration
Icon
7. Elasticsearch Administration
Icon
Discovery and recovery modules
Icon
The human-friendly status API – using the Cat API
Icon
Backing up
Icon
Federated search
Icon
Summary
8
8. Improving Performance
Icon
8. Improving Performance
Icon
Using doc values to optimize your queries
Icon
Knowing about garbage collector
Icon
Benchmarking queries
Icon
Very hot threads
Icon
Scaling Elasticsearch
Icon
Summary
9
9. Developing Elasticsearch Plugins
Icon
9. Developing Elasticsearch Plugins
Icon
Creating the Apache Maven project structure
Icon
Understanding the basics
Icon
Creating custom REST action
Icon
Creating the custom analysis plugin
Icon
Summary
10
Index
Icon
Index

Altering Apache Lucene scoring

With the release of Apache Lucene 4.0 in 2012, all the users of this great full text search library were given the opportunity to alter the default TF/IDF-based algorithm. The Lucene API was changed to allow easier modification and extension of the scoring formula. However, this was not the only change that was made to Lucene when it comes to documents' score calculation. Lucene 4.0 was shipped with additional similarity models, which basically allows us to use a different scoring formula for our documents. In this section, we will take a deeper look at what Lucene 4.0 brings and how these features were incorporated into Elasticsearch.

Available similarity models

As already mentioned, the original and default similarity model available before Apache Lucene 4.0 was the TF/IDF model. We already discussed it in detail in the Default Apache Lucene scoring explained section in Chapter 2, Power User Query DSL.

The five new similarity models that we can use are...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Mastering Elasticsearch
End of Section 6
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon