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  • 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)

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
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
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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

Percolator

Have you ever wondered what would happen if we reverse the traditional model of using queries to find documents? Does it make sense to find documents matching the queries? It is not a surprise that there is a whole range of solutions where this model is very useful. Whenever you operate on an unbounded stream of input data, where you search for the occurrences of particular events, you can use this approach. This can be used for the detection of failures in a monitoring system or for the 'Tell me when a product with the defined criteria will be available in this shop' functionality. In this section, we will look at how an Elasticsearch percolator works and how it can handle this last example.

The index

In all the examples regarding a percolator, we will use an index called notifier, which we will create by using the following command:

curl -XPOST 'localhost:9200/notifier' -d '{
  "mappings": {
    "book" : {
      "properties" : {
        "available" : {
          "type" : "boolean...
End of Section 5
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