The document provides an overview of Elasticsearch, including its terminology, architecture, and functionalities such as indexing, querying, and deleting documents. Key concepts discussed include indices, types, and documents, along with their comparisons to relational databases. Additionally, it outlines installation procedures and configuration settings for setting up and running an Elasticsearch server.

1. Elastic Search
Pavan Navule

2. Contents
▪ Introduction
▪ Terminology
– Index,Type, Document, Field
– Comparison with Relational Database
▪ Architecture
– Clusters, Nodes, Shards & Replicas
▪ Search
– How it works?
– Inverted Index
▪ Installation & Configuration
– Setup & Run Elastic Server
▪ Elastic in Action
– Indexing, Querying & Deleting

3. Introduction
Distributed

4. Terminology
▪ Index
– Is means of storing different types of data.
– Can span across one primary shard or multiple shards.
– Identified by metadata field _index
– An Index can contain multiple types

5. Terminology
▪ Type
– A type is a convenient way to store a specific type of data within an
index
– Identified by metadata field _type

6. Terminology
▪ Document
– A document is JSON object (set of
‘key-value’ pairs aka fields)
▪ _type
▪ _id
▪ _source

7. Terminology
▪ Field
– Key
▪ type (data type)
▪ Format
– Value
▪ Can hold scalar data (int, string values)
or Nested structures like array or
object

8. Terminology (Comparison with RDBMS)
Id Status
1 Reserved
2 In House
3 Departed
1 Reserved

9. Architecture
https://prezi.com/hmxfrorhtcq-/elasticsearch/

10. Search
How Elastic Search Works?
N
N
N
N
Cluster
• Master Node
• Multicast to find other nodes
• Manage Cluster State
• Assign Shards to Nodes

11. N
N
N
N
Search
How Elastic Search Works?
N
N
N
Cluster Replica

12. Search
Internode Communication
• Sends parallel Queries to all nodes
• Merges the full response
• Response returned to the user
N
N
N
Cluster
P2P Architecture
Default Port 9300

13. Search
Inverted Index
Text Processing
• Tokenize
• Remove
duplicates
• Sort
Math
• Frequency
Discover
• Identify &
List the
documents

14. Search
Doc # Contents
1 Fantastic Beasts and Where to FindThem
2 Beasts of the SouthernWild
3 The Wild Life
4 Life of a Pi
Term Frequency Documents
and 2 1
beasts 2 1,2
fantastic 1 1
find 1 1
life 2 3,4
of 2 2,4
pi 1 4
southern 1 2
the 2 2,3
them 1 1
to 1 1
where 1 1
wild 2 2,3
Inverted Index

15. Installation
▪ Download from
www.elastic.co/downloads/elasticsearch
– Extract to your desired location
▪ Configuration
– Default port 9200
– Configure
▪ Config file location “~/elasticsearch-x.y.z/config/elasticsearch.yml“
▪ node name
▪ port
▪ path for log files etc.,

16. Run Elastic Server
▪ Go to “~/elasticsearch-2.4.0/bin/“
▪ Double click “elasticsearch.bat”

17. Indexing
Syntax
POST /{index}/{type}/{optional-id}
{
“key-1": "value",
"key-2": "value",
...
"key-n": "value",
}
Example
POST /sampleindex/sampletype/
{
"guestname": "Mr.J",
"arrivaldate": "2016/12/12",
"departuredate": "2016/12/14"
}

18. Querying
Syntax Example
Search
GET /{index}/_search GET demo/_search
Search by type & id
GET /{index}/{type}/{id} GET demo/reservation/1
Search by property
GET /{index}/_search?q={propName}=“value" GET /demo/_search?q=guestname="Mr.J"
Free search across index
GET /{index}/_search?q=‘value' GET demo/reservation/1

19. Deleting a Document
DELETE /{Index}/{Type}/{Id}
Eg:
DELETE demo/reservation/1

20. Review
▪ Introduction
▪ Terminology
– Index,Type, Document, Field
– Comparison with Relational Database
▪ Architecture
– Clusters, Nodes, Shards & Replicas
▪ Search
– How it works?
– Inverted Index
▪ Installation & Configuration
– Setup & Run Elastic Server
▪ Elastic in Action
– Indexing, Querying & Deleting