Elasticsearch in Action

Learn Elasticsearch from scratch with this hands-on course and become an Elasticsearch Jedi.
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1,220 students enrolled
Instructed by Sezin Karli Development / Databases
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  • Lectures 34
  • Length 3 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 9/2015 English

Course Description

*** Course Updated for Elasticsearch 2.0+ ***


Do you want to become an Elasticsearch Jedi?

Are you a Developer who wants to be familiar with NoSQL Databases or Search Servers?

Or maybe you are a System Admin who is expert with Relational Databases but who has no experience on new technologies of Data Store Systems ecology?

Or you just want a raise or a better job by improving your knowledge?

Join hundreds of students who signed up for becoming Elasticsearch Jedis and boost your knowledge and career!


Over 800 satisfied students are enrolled to Elasticsearch in Action course.


You can check and see the reviews:

Amit Chakraborty

Nice course

I took this course just out of curiosity to learn something about object databases and real time search. This course covers a complete ground for ElasticSearch. I was happy doing this course and the instructor resolves any queries quite fast.

My heartfelt thanks to the instructor and UDEMY.


Rose smith

One of the best course on elastic search !

This is an amazing course on elasticsearch . a complete guide with practical and real world examples. if you really wanna learn about elasticsearch then this is the must course you can take.


Kristian Josef L. Delos Reyes


The Lessons are well organized.. It has solved my worries in elastic search.... Enroll now



Great job

it is such beautifully a simplified course.


gil felot

Nice and Clear

You got all the basics to start using ES in your project now !


Hanley Hansen

Great course

Very informative. Clear and engaging. Lots of nice nuggets of info.


Course Updates

  • Updated Course for supporting Elasticsearch 2.0+
  • Added a cheatsheet for the whole course
  • Updated quizzes for a better course coverage


From real-time search and event management to sophisticated analytics and logging at scale, Elasticsearch has a great number of uses. Elasticsearch in Action course will help you learn the essential parts of Elasticsearch. If you have a basic knowledge of Relational Databases and eager to learn Elasticsearch, then this course is for you. You will begin your journey as a padawan and finish it as an Elasticsearch jedi.


Content and Overview

You will begin learning Elasticsearch with a gentle introduction where you can setup your environment and launch your node of Elasticsearch for the first time.

After that, we will dive into Create/Read/Update/Delete operations and show you how to do them in bulk. For each operation we will do several examples so you can learn by doing.

Later, we will learn about Mappings and Analyzers in a whole chapter dedicated to them which are important subjects if you want to master Elasticsearch.

One of the most important chapters is Search in Depth where you will master the essential part of searching documents in Elasticsearch.

Our last chapter will be Sorting where we will look into how we can sort our documents and how relevancy in Elasticsearch works.


Before you enroll

  • Once enrolled, you have unlimited, lifetime access to the course content!
  • You will have access to any updates of the course.
  • Through discussions section, you will have my full support while you learn Elasticsearch. ( I have a Lightning Responder badge for answering questions under 24 hours.)


Enroll now and become and Elasticsearch Jedi!

What are the requirements?

  • Beginner level knowledge in relational databases is recommended

What am I going to get from this course?

  • Do create, read, update and delete operations on Elasticsearch
  • Have a good understanding of searching and sorting documents in Elasticsearch
  • Know how mapping and analyzers work and learn how to use them effectively
  • Become an Elasticsearch jedi

Who is the target audience?

  • Elasticsearch in Action course is for everyone with motivation to learn Elasticsearch. The only skill you will need is a basic understanding of relational databases. No computer science degree, or a programming knowledge is needed.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Introduction

In this lecture, we will do a brief introduction to Elasticsearch in Action course.

Section 2: Getting Started to Elasticsearch

In this lecture, I will give you a brief introduction to Elasticsearch and will try to answer questions such as what is Elasticsearch, which companies use Elasticsearch and how we communicate with our Elasticsearch server.


In this lecture, I will talk about the terminology you will need about Elasticsearch.

After this lecture you will know what is

  • Index
  • Type
  • Document
  • Node
  • Cluster
  • Shard
  • Replica

We will see how we can install and run Elasticsearch on Windows OS


We will learn how we can install and run Elasticsearch on Mac


In this lecture, I will explain how we can install Head and Marvel plug-ins which are quite useful.

Marvel contains Sense plug-in that we will use in every single lecture of our course.

If you use Elasticsearch >= 2.0 then skip Marvel and just install Head.


If you use Elasticsearch version greater than 2, then you will need to install Kibana which contains Sense plug-in that we will use in every single lecture of our course. Else you can skip this lecture.

Getting Started Quiz
6 questions
Section 3: Create, Read, Update, Delete Operations on Elasticsearch

In this lecture, we will look closely to building blocks of Elasticsearch: documents.

After this lecture, you'll have a knowledge about different parts of a document.


We will learn how to index a document.

After this lecture you will know how to index a document with custom or auto-generated id.


In this lecture you will learn how to fetch

  • A document by id
  • A part of a single document
  • Multiple documents with mget, that is multiple get

In this lecture, you will learn how to check if the document exists in our Elasticsearch server just by checking its HTTP header. Later we will see how to check and index if not found with a single request.


In this lecture, you will learn several ways of deleting documents from Elasticsearch:

  • delete by id
  • delete by query

Delete by query is removed from Elasticsearch 2.0. If you use this version, you have to install it as a plugin.


In this lecture, you will understand how concurrency control is implemented in Elasticsearch and how we will use it using the version of documents.


In this lecture, we will talk about two methods of update in Elasticsearch:

  • Partial update
  • Full update

In this lecture, you will learn how to do bulk requests to Elasticsearch and do very fast CRUD operations in batch.

Making bulk requests is all time winner for faster create, update and delete operations.

11 questions
Section 4: Mapping and Analysis

During this lecture, you will understand mappings of Elasticsearch that are basically schemas for types.

You will learn

  • Simple field types (string, integer, etc)
  • Implicit _all field

In this lecture, you will learn what are analyzers, how they change the way full text is processed, what is an inverted index and how it is used in Elasticsearch.

Furthermore, you will understand how an inserted document will be analyzed and put into an inverted index in ES.


In this lecture, we will talk about out-of-the-box analyzer types and how to check their analysis results using analyze endpoint.

Default analyzers are

  • Standard
  • Simple
  • Whitespace
  • Stop
  • Keyword
  • Pattern
  • Language
  • Snowball Analyzers

If you use Elasticsearch 2.0 or greater then use the new sytax for analyze endpoint that you can find in the resources


In this chapter, we will summarize the things we learnt about analyzers.


In this lecture, you will learn how to create and update custom mappings for simple field types and see how custom mappings and different analyzers can change the resultset of your queries


In this lecture, we will explain how to create and update custom mappings but for complex field types and see how queries' resultset change thanks to custom mappings and analyzers.

Mapping and Analysis Quiz
11 questions
Section 5: Search in Depth

In this lecture, we will explain the search in Elasticsearch. We will fist explain the different parts of a query result.


In this lecture, we will learn how to search documents with query string which is basically a query with just request parameters.

We will see how to query simple and complex type fields, several fields together, all fields at once and how to do AND and OR queries.


In this lecture, we will focus on empty body search of Query DSL. After that, we will talk about popular query types such as match_all, match and multi-match.

Combining Queries

In this lecture, you will learn filters and difference between filters and queries. We will see the most popular filter statements such as term, range, exists and missing.


In this lecture, we will see filtered query which we will use for combining filters and queries.


In this lecture, we will learn how to validate our query syntax.


In this lecture, you will learn how to do pagination of your data, that is how to fetch your data part by part.

Pagination is useful for fetching data with chunks and not retrieving all of it in the same time.

Search Quiz
19 questions
Section 6: Sorting and Relevance

During this lecture, we will learn how to sort the queried data based on one or multiple exact value fields.


In this lecture, you will learn how to sort your data based on a full text field. First we have to update our mapping and add a field, then sort based on this newly created field.


In this lecture, you will learn how to sort your data based on a full text field. First we have to update our mapping and add a field, then sort based on this newly created field.

Sorting and Relevance Quiz
5 questions
Section 7: Conclusion
Section 8: Additional Content

This lecture contains all syntaxes of this course.

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Instructor Biography

Sezin Karli, Principal Software Engineer | Elasticsearch Instructor

Principal Software Engineer at Sahibinden com which is the largest online classifieds and e-commerce platform in Turkey. Avid learner of new technologies. Blogger, speaker and instructor.

I have been developing applications for almost a decade. My first love is Java and I'm also a huge fan of Spring framework. I also like Groovy and I'm currently flirting with Python.

Relational Databases and Elasticsearch are my main interests in Data Store Systems ecology. I prepared Elasticsearch in Action and Getting Started with Elasticsearch courses to share the love. I taught Elasticsearch to more than 2000 satisfied students.

I love giving tech talks when I get the opportunity. I gave talks on Unit Testing, SonarQube, Google Guava, Docker and Spring Boot.

I have a MSc degree from Sabanci University where I worked on Data Mining, specifically focused on Periodic Pattern Mining.

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