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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Toc

Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Using the HTTP protocol


This recipe shows some samples of using the HTTP protocol.

Getting ready

You need a working Elasticsearch cluster. Using the default configuration, Elasticsearch enables the 9200 port on your server to communicate in HTTP.

How to do it...

The standard RESTful protocol is easy to integrate because it is the lingua franca for the Web and can be used by every programming language.

Now, I'll show how easy it is to fetch the Elasticsearch greeting API on a running server at 9200 port using several programming languages.

In Bash or Windows prompt, the request will be:

 curl -XGET http://127.0.0.1:9200

In Python, the request will be:

  import urllib
  result = urllib.open("http://127.0.0.1:9200")

In Java, the request will be:

import java.io.BufferedReader; 
import java.io.InputStream; 
import java.io.InputStreamReader; 
import java.net.URL; 
 
... 
try {             
// get URL content 
  URL url = new URL("http://127.0.0.1:9200");              
  URLConnection conn = url.openConnection();
// open the stream and put it into BufferedReader              
  BufferedReader br = new BufferedReader(new InputStreamReader(conn.getInputStream()));               
 
String inputLine;              
while ((inputLine = br.readLine()) != null){ 
System.out.println(inputLine);              
}              
br.close();               
System.out.println("Done");           
} catch (MalformedURLException e) {             
e.printStackTrace();          
} catch (IOException e) {              
e.printStackTrace();          
}

In Scala, the request will be:

scala.io.Source.fromURL("http://127.0.0.1:9200", "utf-8").getLines.mkString("\n") 

For every language sample, the response will be the same:

{
 "name" : "elasticsearch",
 "cluster_name" : "elasticsearch",
 "cluster_uuid" : "rbCPXgcwSM6CjnX8u3oRMA",
 "version" : {
 "number" : "5.1.1",
 "build_hash" : "5395e21",
 "build_date" : "2016-12-06T12:36:15.409Z",
 "build_snapshot" : false,
 "lucene_version" : "6.3.0"
 },
 "tagline" : "You Know, for Search"
}

How it works...

Every client creates a connection to the server index / and fetches the answer. The answer is a JSON object.

You can call Elasticsearch server from any programming language that you like. The main advantages of this protocol are:

  • Portability: It uses web standards so it can be integrated in different languages (Erlang, JavaScript, Python, or Ruby) or called from command-line applications such as curl

  • Durability: The REST APIs don't often change. They don't break for minor release changes as native protocol does

  • Simple to use: It speaks JSON to JSON

  • More supported than others protocols: Every plugin typically supports a REST endpoint on HTTP

  • Easy cluster scaling: Simply put your cluster nodes behind an HTTP load balancer to balance the calls such as HAProxy or NGINX

In this book, a lot of examples are done calling the HTTP API via the command-line curl program. This approach is very fast and allows you to test functionalities very quickly.

There's more...

Every language provides drivers to best integrate Elasticsearch or RESTful web services. The Elasticsearch community provides official drivers that support the most used programming languages.

You have been reading a chapter from
Elasticsearch 5.x Cookbook - Third Edition
Published in: Feb 2017
Publisher:
ISBN-13: 9781786465580
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