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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
chevron up
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
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

Mappings configuration

If you are used to SQL databases, you may know that before you can start inserting the data in the database, you need to create a schema, which will describe what your data looks like. Although Elasticsearch is a schema-less search engine and can figure out the data structure on the fly, we think that controlling the structure and thus defining it ourselves is a better way. In the following few pages, you'll see how to create new indices (and how to delete them) and how to create mappings that suit your needs and match your data structure.

Note

Note that we didn't include all the information about the available types in this chapter and some features of Elasticsearch, such as nested type, parent-child handling, storing geographical points, and search, are described in the following chapters of this book.

Type determining mechanism

Before we start describing how to create mappings manually, we wanted to write about one thing. Elasticsearch can guess the document structure...

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