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  • Book Overview & Buying Elasticsearch Server: Second Edition
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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)
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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
Free Chapter
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
Index
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Index

Introduction to routing

By default, Elasticsearch will try to distribute your documents evenly among all the shards of the index. However, that's not always the desired situation. In order to retrieve the documents, Elasticsearch must query all the shards and merge the results. However, if you can divide your data on some basis (for example, the client identifier), you can use a powerful document and query distribution control mechanism—routing. In short, it allows us to choose a shard that will be used to index or search data.

Default indexing

During indexing operations, when you send a document for indexing, Elasticsearch looks at its identifier to choose the shard in which the document should be indexed. By default, Elasticsearch calculates the hash value of the document's identifier and on the basis of that, it puts the document in one of the available primary shards. Then, those documents are redistributed to the replicas. The following diagram shows a simple illustration of how indexing...

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