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Elasticsearch Server: Second Edition

Elasticsearch Server: Second Edition

4.3 (13)
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Elasticsearch Server: Second Edition

Elasticsearch Server: Second Edition

4.3 (13)

Overview of this book

Table of Contents (18 chapters)
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Elasticsearch Server Second Edition
Elasticsearch Server Second Edition
Credits
Credits
About the Author
About the Author
Acknowledgments
Acknowledgments
About the Author
About the Author
Acknowledgments
Acknowledgments
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Getting Started with the Elasticsearch Cluster
Getting Started with the Elasticsearch Cluster
Full-text searching
The basics of Elasticsearch
Installing and configuring your cluster
Manipulating data with the REST API
Searching with the URI request query
Summary
2
Indexing Your Data
Indexing Your Data
Elasticsearch indexing
Mappings configuration
Batch indexing to speed up your indexing process
Extending your index structure with additional internal information
Introduction to segment merging
Introduction to routing
Summary
3
Searching Your Data
Searching Your Data
Querying Elasticsearch
Understanding the querying process
Basic queries
Compound queries
Filtering your results
Highlighting
Validating your queries
Sorting data
Query rewrite
Summary
4
Extending Your Index Structure
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Extending Your Index Structure
Indexing tree-like structures
Indexing data that is not flat
Using nested objects
Using the parent-child relationship
Modifying your index structure with the update API
Summary
5
Make Your Search Better
Make Your Search Better
An introduction to Apache Lucene scoring
Scripting capabilities of Elasticsearch
Searching content in different languages
Influencing scores with query boosts
When does index-time boosting make sense?
Words with the same meaning
Understanding the explain information
Summary
6
Beyond Full-text Searching
Beyond Full-text Searching
Aggregations
Faceting
Using suggesters
Percolator
Handling files
Geo
The scroll API
The terms filter
Summary
7
Elasticsearch Cluster in Detail
Elasticsearch Cluster in Detail
Node discovery
The gateway and recovery modules
Preparing Elasticsearch cluster for high query and indexing throughput
Templates and dynamic templates
Summary
8
Administrating Your Cluster
Administrating Your Cluster
The Elasticsearch time machine
Monitoring your cluster's state and health
Controlling cluster rebalancing
Controlling the shard and replica allocation
Warming up
Index aliasing and using it to simplify your everyday work
Elasticsearch plugins
The update settings API
Summary
Index
Index

Chapter 4. Extending Your Index Structure

In the previous chapter, we learned many things about querying Elasticsearch. We saw how to choose fields that will be returned and learned how querying works in Elasticsearch. In addition to that, we now know the basic queries that are available and how to filter our data. What's more, we saw how to highlight the matches in our documents and how to validate our queries. In the end, we saw the compound queries of Elasticsearch and learned how to sort our data. By the end of this chapter, you will have learned the following topics:

  • Indexing tree-like structured data

  • Indexing data that is not flat

  • Modifying your index structure when possible

  • Indexing data with relationships by using nested documents

  • Indexing data with relationships between them by using the parent-child functionality

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