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Learning Elasticsearch
Learning Elasticsearch

Learning Elasticsearch: Structured and unstructured data using distributed real-time search and analytics

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Learning Elasticsearch

Setting Up Elasticsearch and Kibana

In this chapter, we will discuss how to set up Elasticsearch and Kibana. We will first install Elasticsearch as a single-node cluster and then install Kibana. Running Elasticsearch is very easy as it can be started without any configuration; it is designed to run out of the box. Once we have Elasticsearch up and running, we will go through various APIs that are available to gauge the health of the cluster. By the end of this chapter, we will have covered the following:

  • Installing Elasticsearch
  • Installing Kibana
  • Kibana Dev Tools
  • HTTP clients
  • Monitoring cluster health

Installing Elasticsearch

In this section, we will install Elasticsearch on a local machine as a single-node cluster. Once we have the cluster up and running, we will learn how to use cluster APIs to check the health of the nodes. We have a Windows section for Windows users, a Mac OS X section for Mac users, and a Debian/RPM section for users who want to install using the Debian (deb)/RPM package.

If you are a Linux/Unix user, you can either install using the Debian/RPM package or you can follow instructions in the Mac OS X section.

Installing Java

Elasticsearch is a Java-based application. Before we can run Elasticsearch, we need to make sure that we have Java installed. You need a Java Runtime Environment(JRE). Elasticsearch...

Installing Kibana

In this section, we will install Kibana. Kibana is a web interface to visualize and analyze the data in Elasticsearch. Kibana also provides developer tools, which is very handy for running Elasticsearch queries. The queries used in the book can be executed using Kibana developer tools. You need Elasticsearch up and running before you can start using Kibana. Make sure the Kibana version matches the Elasticsearch version. At the time of writing, the latest Elasticsearch version is 5.1.2.

Mac OS X

You can download Kibana for Mac OS X from the following Elasticsearch website:

curl -L -O https://artifacts.elastic.co/downloads/kibana/kibana-5.1.2-darwin-x86_64.tar.gz
tar -xvf kibana-5.1.2-darwin-x86_64.tar.gz

Once...

Query format used in this book (Kibana Console)

The query format used in this book is based on Kibana Console. When using other HTTP clients such as cURL or Postman, the Elasticsearch endpoint (like http://127.0.0.1:900) should be passed in the URL, when using Kibana Console it is automatically inferred from Kibana settings. Using Kibana Console while in development or for debugging is strongly recommended. You can access Kibana Console by going to Dev Tools tab in the navigation bar on the left.

The Kibana Console look like the following:

Kibana Console has a very simple UI and is divided into request and response windows. The request window makes it very easy to work with JSON requests and supports auto-completion and auto indentation. The response window makes it very easy to follow the JSON response as you can expand or minimize parts of the JSON response. You can also copy...

Using cURL or Postman

The primary way of interacting with Elasticsearch is using the REST API over HTTP. If Kibana or Sense is not an option for you, you can use any of the popular HTTP clients, such as cURL or Postman. Curl is a command line-based client available on most operating systems. Postman is an UI-based HTTP client available for major operating systems. You can get postman from the following link:

https://www.getpostman.com/

To execute the queries in this book using other HTTP clients, you have to specify the Elasticsearch server address (such as http://127.0.0.1:9200) in front of the API endpoint to execute the query. Let's take an example query found in this book:

 POST es-index/_search
{
"query": {
"match_all": {}
}
}

To execute the preceding query in cURL, you should add the curl command and the -d flag and wrap the query in...

Health of the cluster

Elasticsearch provides various APIs for operational management of clusters and nodes. One of the important APIs is cluster API. In the previous section, we started a single-node cluster. We can check the health of the cluster using the cluster API as follows:

http://127.0.0.1:9200/_cluster/health?pretty

The pretty flag at the end of the URL makes the JSON response more readable. The response from the cluster API is shown next:

{
"cluster_name": "es-dev",
"status": "green",
"timed_out": false,
"number_of_nodes": 1,
"number_of_data_nodes": 1,
"active_primary_shards": 0,
"active_shards": 0,
"relocating_shards": 0,
"initializing_shards": 0,
"unassigned_shards": 0,
"delayed_unassigned_shards": 0,
"number_of_pending_tasks...

Summary

In this chapter, we learned how to install and configure Elasticsearch. We also learned how to install Kibana. We discussed the various HTTP clients we can use to talk to Elasticsearch. A lot of examples have been used throughout the book to better explain various concepts. With Elasticsearch and Kibana up and running, you can now try out the queries in the examples.

In the next chapter, we will talk about how to model data and manage relations in Elasticsearch.

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Key benefits

  • Get to grips with the basics of Elasticsearch concepts and its APIs, and use them to create efficient applications
  • Create large-scale Elasticsearch clusters and perform analytics using aggregation
  • This comprehensive guide will get you up and running with Elasticsearch 5.x in no time

Description

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.

Who is this book for?

If you want to build efficient search and analytics applications using Elasticsearch, this book is for you. It will also benefit developers who have worked with Lucene or Solr before and now want to work with Elasticsearch. No previous knowledge of Elasticsearch is expected.

What you will learn

  • See how to set up and configure Elasticsearch and Kibana
  • Know how to ingest structured and unstructured data using Elasticsearch
  • Understand how a search engine works and the concepts of relevance and scoring
  • Find out how to query Elasticsearch with a high degree of performance and scalability
  • Improve the user experience by using autocomplete, geolocation queries, and much more
  • See how to slice and dice your data using Elasticsearch aggregations.
  • Grasp how to use Kibana to explore and visualize your data
  • Know how to host on Elastic Cloud and how to use the latest X-Pack features such as Graph and Alerting

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Publication date : Jun 30, 2017
Length: 404 pages
Edition : 1st
Language : English
ISBN-13 : 9781787129917
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Product Details

Publication date : Jun 30, 2017
Length: 404 pages
Edition : 1st
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ISBN-13 : 9781787129917
Vendor :
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Table of Contents

10 Chapters
Introduction to Elasticsearch Chevron down icon Chevron up icon
Setting Up Elasticsearch and Kibana Chevron down icon Chevron up icon
Modeling Your Data and Document Relations Chevron down icon Chevron up icon
Indexing and Updating Your Data Chevron down icon Chevron up icon
Organizing Your Data and Bulk Data Ingestion Chevron down icon Chevron up icon
All About Search Chevron down icon Chevron up icon
More Than a Search Engine (Geofilters, Autocomplete, and More) Chevron down icon Chevron up icon
How to Slice and Dice Your Data Using Aggregations Chevron down icon Chevron up icon
Production and Beyond Chevron down icon Chevron up icon
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting) Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(4 Ratings)
5 star 50%
4 star 25%
3 star 25%
2 star 0%
1 star 0%
Ravikanth Dec 11, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
When Abhishek called me after he almost finished writing his book on elastic search he had a thought that bothered him. Is there a necessity for another book where are so many other experts who wrote books on elastic search?The language “C” was created by Dennis Ritchie but his book is not the most used or referred book in C. Creating something and making something approachable are two different skills.Abhishek has made the book very approachable. I haven’t read the book entirely but I have already used it(If you are an architect or a developer you know that it is a good sign). The book is very hands-on and gives you the right amount of theory for you to make your technological choices. When we approach a new technology we want the stack up and running as soon as possible so that you can play around with it and test the things you want to test. The theory becomes important for you to make long-term choices. The book plays really well on the first count and reasonably well on the second one.If you are planning to use Dynamodb in your architecture you will find that elastic search becomes a necessity because of the limitation of querying capabilities in Dynamodb. If you are moving in that direction get this book, you will most likely need it.There is one missing chapter Abhishek should consider adding and that is about analyzers. Everybody needs to add some twist to the default search capabilities provided by elastic search. Just giving exposure helps people walk that road with ease.There were two times when I had to ask him personally about a couple of questions. One of which is an email and other one was a short phone call to verify if the architecture in my mind was right. The phone call was because I did not read enough of the book at that time.Full-Disclosure - Abhishek is my cousin whom I know since his birth and hence I have a vested interest in his success. That does not mean anything I wrote so far is inaccurate.@Abhishek - You did not send a free copy to me. I had to buy it just like everyone else(from packtpub). I am going to remember this :P
Amazon Verified review Amazon
Jim O'Quinn Jan 27, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Why didn't you put the Elasticsearch version on the cover page of your book? In the description here on Amazon?I hope it covers 6.X otherwise I'm returning it.
Amazon Verified review Amazon
J. Franks Nov 24, 2018
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
I worked my way through this on a camping trip and now use it regularly when I need to reindex etc. I don't use ElasticSearch every day but do need to work out queries or fix problems from time to time, and it's a great book to have on kindle - the online docs and/or google just aren't as good at helping solve problems. This gets it done.4 stars; it's a workman-like book, there are places where it could go further, but still, I wouldn't be without it.
Amazon Verified review Amazon
Mike A. May 05, 2018
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
IMO, he just brushes over the more complex issues. Will need to do more digging.
Amazon Verified review Amazon
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