What is elasticsearch? Its yet another non-relational data management system but used exclusively for search and analytics. Whereas other non-relational dB's like mongoDb are used and simple data fetch and insertion usecases, elasticsearch is specifically designed for mining the data with an extensive JSON API to do just that. In this flash talk we'll discuss why should you use elasticsearch and how it works in brief.

1. elasticsearch - your own local google
aseem agarwal
sr. engr, genwi
@agaase19

2. Agenda
What is it?
How is it different?
Concepts.

3. elasticsearch?
Yet another non-relational data management
system.

4. How is it different ?

5. 1
Every field is indexed.

6. 2
Simple Restful API.
PUT /mydb/employee/a_1
{“name”:”xyz”}

7. 3
Distributed real time document store.

8. 4
Extensive search API.
e.g fuzzy query

9. Concepts

10. DB Structure
ELASTICSEARCH TRADITIONAL DB
INDEX DATABASE
TYPE TABLE
ROWS DOCUMENT
FIELDS COLUMNS

11. Search API
{
“tweet” : “trip to india, finally!”
}
{
“tweet” : “trip to europe”
}
{
“tweet” : “trip to malaysia,
after a long time”
}
{
"query":{
"match":{
"tweet": {
"query" : "india trip"
}
}
}
}

12. Analytics API
QUERY
{
"aggs":{
"moviesperyear":{
"terms": {
"field" : "year"
}
}
}
RESPONSE
{
"key": "2004",
"doc_count": 622
},
{
"key": "2006",
"doc_count": 611
},

13. QUERY
{
"aggs":{
"moviesperyear":{
"terms": {
"field" : "year",
"aggs": {
"Language": {
"terms" : {
"field" : "Language"
}
}}}}
RESPONSE
{
"key": "2004",
"doc_count": 622,
"Language": {
"buckets": [
{
"key": "english",
"doc_count": 274
},
{
"key": "korean",
"doc_count": 28
},

14. How we use it?