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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
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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

Controlling the shard and replica allocation

Indices that live inside your Elasticsearch cluster can be built of many shards, and each shard can have many replicas. With the ability to have multiple shards of a single index, we can deal with indices that are too large to fit on a single machine. The reasons may be different, from memory and CPU related to storage ones. With the ability to have multiple replicas of each shard, we can handle a higher query load by spreading the replicas over multiple servers. We can say that by using shards and replicas, we can scale out Elasticsearch. However, Elasticsearch has to figure out where in the cluster it should place the shards and replicas. It needs to figure out which server/nodes each shard or replica should be placed on.

Explicitly controlling allocation

Imagine that we want to have our indices to be placed on different cluster nodes. For example, we want one index named shop to be placed on some nodes and the second index called users to be...

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