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  • Book Overview & Buying Elasticsearch Server: Second Edition
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Elasticsearch Server: Second Edition

Elasticsearch Server: Second Edition

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Elasticsearch Server: Second Edition

Elasticsearch Server: Second Edition

4.3 (13)
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Overview of this book

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