Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.

1. Elasticsearch
Getting Started Part 1
Suyog Kale
Kloojj.com

2. Kloojj.com
Suyog Dilip Kale
Technology Evangelist
Chief Architect
www.kloojj.com
Organiser
Pune Developer’s Community
www.meetup.com/Pune-Developers-Community
http://www.punedevscommunity.in/

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● What is Elasticsearch
○ Definition
○ History
○ Licence
○ Customers
○ Version
○ Supported Clients & languages

4. Kloojj.com
● How others describes Elasticsearch as?
○ Database ?
○ Search ?
○ Search Index ?
○ Giant Index engine ?
○ Powerful analytics database ?
○ Magic box

5. Kloojj.com
● How others describes Elasticsearch as?
○ Ridiculously easy to set up and doing useful stuff
○ A technology allow you to implement solution when you’ve got more
data than you know what do with
○ Searching for big data really fast that your in-house Google :)
○ It's a search engine, but the difference between traditional search
engine and elastic search is that elastic also cares about numbers it's
not just about text
○ It has really great functionality, it’s stable, it’s fun obtained and it has
great community support
○ It can really scale to petabytes of data easily
○ It got everything you want, it’s got the performance, it’s got the
richness, it’s got the scalability and it does it really really well.
○ It’s decision making tool

6. Kloojj.com
● What is Elasticsearch ?
○ Official definition “Elasticsearch is a distributed, RESTful search and
analytics engine capable of solving a growing number of use cases. As
the heart of the Elastic Stack, it centrally stores your data so you can
discover the expected and uncover the unexpected.”
○ Open source search engine based on Apache Lucene.
○ Written in Java
○ Cross platform
○ Highly Scalable, performing, distributed search engine
○ Designed to take data from any input source, process and analyze

7. Kloojj.com
● What is Elasticsearch ?
○ HTTP REST API
○ Curl -X <REST verb> <node>:<port>/<index>/<type>/<id>
○ Ex. Curl -X GET https://localhost:9200/user/customer/123
○ Non-schema JSON documents
○ Near real-time search
○ Maintained by elastic, provides commercial solutions associated to
Elasticsearch

8. Kloojj.com
● History
○ Shay Banon created the precursor to Elasticsearch, called Compass, in 2004
○ While thinking about the third version of Compass he realized that it would be necessary
to rewrite big parts of Compass to "create a scalable search solution" So he created "a
solution built from the ground up to be distributed" and used a common interface, JSON
over HTTP, suitable for programming languages other than Java as well.
○ Shay Banon released the first version of Elasticsearch in February 2010.
○ Elasticsearch BV was founded in 2012 to provide commercial services and products
around Elasticsearch and related software.
○ In March 2015, the company Elasticsearch changed their name to Elastic.

9. Kloojj.com
● Licence
○ Open source search engine based on Apache Lucene.
○ Elastic company also provides commercial license for Elastic stack that
includes products,services and paid supports

10. Kloojj.com
● Version
○ Latest version 6.2.1
○ Release date: February 08, 2018
○ Supported platforms: Different flavours of Linux, Windows OS

11. Kloojj.com

12. Kloojj.com
● Customers
○ Adobe Systems
○ Facebook
○ Foursquare
○ GitHub
○ Mozilla
○ Netflix
○ SoundCloud
○ Stack Exchange
○ Quora
○ Wikimedia
○ … & many more

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● Supported clients
○ Elasticsearch uses standard RESTful APIs and JSON.
○ It officially build and maintain clients in many languages such as
■ Java,
■ Python
■ .NET
■ Groovy
○ Community contributed clients
○ B4J
○ Clojure
○ ColdFusion
(CFML)
○ Erlang
○ Go
○ Groovy
○ Haskell
○ Java
○ JavaScript
○ kotlin
○ Lua
○ .NET
○ OCaml
○ Perl
○ PHP
○ Python
○ R
○ Ruby
○ Rust
○ Scala
○ Smalltalk
○ Vert.x

14. Kloojj.com
Suyog Dilip Kale
Email suyog.kale@gmail.com
Twitter @suyog_kale
Thank You !!!