Getting Started Of Elasticsearch

Dec 17, 2015Download as PPTX, PDF2 likes1,139 views

This document provides an overview of Elasticsearch, including its key features and common use cases. It begins with an introduction to full text search and how Elasticsearch works. It then covers basic concepts in Elasticsearch like indexes, types, mappings, and scoring. Next, it lists some common users of Elasticsearch. Following that are examples of real world use cases for Elasticsearch like searching different data types, geolocation searching, and centralized logging. The document concludes by mentioning some Elasticsearch plugins and related products like Logstash, Kibana, Watcher, and Shield.

Search & Analyze Data in Real Time
ELASTICSEARCH

agenda
1- Full Text Search
2- Elasticsearch Overview
3- Basic Concepts
4- Elasticsearch Users
5- Real World Use Cases
6- Plugins

fulltextsearch
Like
Select * from Article
nolock where
ArticleTitleManset Like
'%kitap%' or ArticleText
Like '%kitap%'
It controls all rows

fulltextsearch
Why Full Text Search?
Making Text Searchable

fulltextsearch
Full Text Search Databases

fulltextsearch
Full Text Databases versus Full Text Search Engines
CAP THEOREM
Distributed systems are
not guarantee to provide
these three terms :

fulltextsearch
Full Text Databases versus Full Text Engines

what?selast?csearch?
Real Time Search & Analytics Engine

what?selast?csearch?
Open Source - Apache Licence
https://github.com/elastic/elasticsearch

what?selast?csearch?
Written In Java - Support Cross Platform
Elasticsearch Requires Java!!!

what?selast?csearch?
Built On Top Of Lucene ● Very Popular, Full Text Search Library
● Project Based

what?selast?csearch?
Document Oriented(JSON) - Restful Api

what?selast?csearch?
History
Elasticsearch created by Shay Bannon. Before Elasticsearch,
Shay Bannon ‘s first product is Compass.Compass created
on 2004 to “scalable search solution” and also built on
Lucene.
In February 2010, Compass development was
stopped by Shay Bannon and Elasticsearch
released.

BASICCONCEPTS
Elasticsearch Flow
At first, Data should index
to Elasticsearch
Then you can search!

BASICCONCEPTS
Analyzers
Character Filter
+
Tokenizer
+ =
Token Filter
+
Token Filter
ANALYZER

BASICCONCEPTS
Mapping Data
Unlike Solr and Sphinx, Elasticsearch is scheme-free.
Mapping can change on the fly.

BASICCONCEPTS
Types
Others
IPV4
Attachment

BASICCONCEPTS
Relevance
By Default, results are returned in descending order
of Relevance.
Term Frequency
Inverse Document Frequency
Field - Length Norm

BASICCONCEPTS
Scoring & Boosting
For custom scoring, increase
boost value

usecases
https://qbox.io/blog/boston-elasticsearch-
meetup-scoring-images-by-color
IMAGE SEARCHING

usecases
GEOLOCATION SEARCHING & DISTANCE CALCULATION
https://github.com/varunpant/AroundMe

usecases
CENTRALIZED LOGGING
Loggly built in Elasticsearch
and Kibana

PLUGINS
HEAD
Web Front End Browsing to Elasticsearch
Data and Cluster Management

PLUGINS
KOPF
Web Administration Tool
for Elasticsearch

Products
LOGSTASH
● Logging
● Event sourcing
● Archiving
● Alert Data
● Monitoring Data

Products
KIBANA
Browser based search and analytics
dashboard for Elasticsearch.
Open Source data visualization platform,
powerful graphics.

Products
WATCHER
Alerting For Elasticsearch Data &
Cluster
● Command
● Email
● JIRA
● OpsGenie
● SNS
● Hipchat
● Slack
● Debug

Products
SHIELD
Protect your data with Shield
Role Based Security, Encyrption,
IP Filtering

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Getting Started Of Elasticsearch

1. Search & Analyze Data in Real Time ELASTICSEARCH

2. agenda 1- Full Text Search 2- Elasticsearch Overview 3- Basic Concepts 4- Elasticsearch Users 5- Real World Use Cases 6- Plugins

3. fulltextsearch

4. fulltextsearch Like Select * from Article nolock where ArticleTitleManset Like '%kitap%' or ArticleText Like '%kitap%' It controls all rows

5. fulltextsearch Why Full Text Search? Making Text Searchable

6. fulltextsearch

7. fulltextsearch

8. fulltextsearch INVERTED INDEX

9. fulltextsearch Full Text Search Databases

10. fulltextsearch Full Text Search Engines

11. fulltextsearch Full Text Databases versus Full Text Search Engines CAP THEOREM Distributed systems are not guarantee to provide these three terms :

12. fulltextsearch Full Text Databases versus Full Text Engines

13. what?selast?csearch?

14. what?selast?csearch? Real Time Search & Analytics Engine

15. what?selast?csearch? Open Source - Apache Licence https://github.com/elastic/elasticsearch

16. what?selast?csearch? Written In Java - Support Cross Platform Elasticsearch Requires Java!!!

17. what?selast?csearch? Built On Top Of Lucene ● Very Popular, Full Text Search Library ● Project Based

18. what?selast?csearch? Document Oriented(JSON) - Restful Api

19. what?selast?csearch? Distributed

20. what?selast?csearch? History Elasticsearch created by Shay Bannon. Before Elasticsearch, Shay Bannon ‘s first product is Compass.Compass created on 2004 to “scalable search solution” and also built on Lucene. In February 2010, Compass development was stopped by Shay Bannon and Elasticsearch released.

21. bas?cconcepts

22. BASICCONCEPTS ELASTICSEARCH STRUCTURE

23. BASICCONCEPTS Elasticsearch Flow At first, Data should index to Elasticsearch Then you can search!

24. BASICCONCEPTS Analyzers

25. BASICCONCEPTS Analyzers Character Filter + Tokenizer + = Token Filter + Token Filter ANALYZER

26. BASICCONCEPTS Mapping Data Unlike Solr and Sphinx, Elasticsearch is scheme-free. Mapping can change on the fly.

27. BASICCONCEPTS Types Others IPV4 Attachment

28. BASICCONCEPTS Relevance By Default, results are returned in descending order of Relevance. Term Frequency Inverse Document Frequency Field - Length Norm

29. BASICCONCEPTS Scoring & Boosting For custom scoring, increase boost value

30. elast?csearchusers

31. whouses?

32. realworldusecases

33. usecases ALL DATA TYPES SEARCHING

34. usecases https://qbox.io/blog/boston-elasticsearch- meetup-scoring-images-by-color IMAGE SEARCHING

35. usecases GEOLOCATION SEARCHING & DISTANCE CALCULATION https://github.com/varunpant/AroundMe

36. usecases CENTRALIZED LOGGING Loggly built in Elasticsearch and Kibana

37. usecases DATA ANALYZING

38. usecases ALERT SYSTEM

39. plug?ns&products

40. PLUGINS HEAD Web Front End Browsing to Elasticsearch Data and Cluster Management

41. PLUGINS SENSE Web Querying Plugin

42. PLUGINS KOPF Web Administration Tool for Elasticsearch

43. Products LOGSTASH ● Logging ● Event sourcing ● Archiving ● Alert Data ● Monitoring Data

44. Products KIBANA Browser based search and analytics dashboard for Elasticsearch. Open Source data visualization platform, powerful graphics.

45. Products LOGSTASH & KIBANA

46. Products WATCHER Alerting For Elasticsearch Data & Cluster ● Command ● Email ● JIRA ● OpsGenie ● SNS ● Hipchat ● Slack ● Debug

47. Products SHIELD Protect your data with Shield Role Based Security, Encyrption, IP Filtering

48. Mustafa Da?delen happysearch?ng!

狠狠撸

Getting Started Of Elasticsearch

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