ElasticSearch Cookbook - Second Edition

Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

ElasticSearch Cookbook - Second Edition

Alberto Paro

1 customer reviews
Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch
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Book Details

ISBN 139781783554836
Paperback472 pages

Book Description

This book will guide you through the complete ElasticSearch ecosystem. From choosing the correct transport layer and communicating with the server to creating and customizing internal actions, you will develop an in-depth knowledge of the implementation of the ElasticSearch architecture.

After creating complex queries and analytics, mapping, aggregation, and scripting, you will master the integration of ElasticSearch's functionality in user-facing applications and take your knowledge one-step further by building custom plugins, developing tailored mapping, executing powerful analytics, and integrating with Python and Java applications.

 

 

Read an Extract from the book

Communicating with ElasticSearch

You can communicate with several protocols using your ElasticSearch server. In this recipe,
we will take a look at the main protocols.

Getting ready

You will need a working instance of the ElasticSearch cluster.

How it works...

ElasticSearch is designed to be used as a RESTful server, so the main protocol is the HTTP, usually on port number 9200 and above. Thus, it allows using different protocols such as native and thrift ones.

Many others are available as extension plugins, but they are seldom used, such as memcached, couchbase, and websocket. (If you need to find more on the transport layer, simply type in Elasticsearch transport on the GitHub website to search.)

Every protocol has advantages and disadvantages. It's important to choose the correct one depending on the kind of applications you are developing. If you are in doubt, choose the HTTP Protocol layer that is the standard protocol and is easy to use.

Choosing the right protocol depends on several factors, mainly architectural and performance related. This schema factorizes advantages and disadvantages related to them. If you are using any of the protocols to communicate with ElasticSearch official clients, switching from a protocol to another is generally a simple setting in the client initialization.

Protocol

Advantages

Disadvantages

Type

HTTP

  • Frequently used
  • API is safe and has general compatibility for different versions of ES, although JSON is suggested
  • HTTP overhead
  • Text

Native

  • Fast network layer
  • Programmatic
  • Best for massive indexing operations
  • If the API changes, it can break the applications
  • Requires the same version of the ES server
  • Only on JVM
  • Binary

Thrift

  • Similar to HTTP
  • Related to the Thrift plugin
  • Binary

 

 

Table of Contents

What You Will Learn

  • Make ElasticSearch work for you by choosing the best cloud topology and powering it with plugins
  • Develop tailored mapping to take full control of index steps
  • Build complex queries through managing indices and documents
  • Optimize search results through executing analytics aggregations
  • Manage rivers (SQL, NoSQL, and web-based) to synchronize and populate cross-source data
  • Develop web interfaces to execute key tasks
  • Monitor the performance of the cluster and nodes

Authors

Table of Contents

Book Details

ISBN 139781783554836
Paperback472 pages
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