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
- 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
- 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
- 14. whatıselastıcsearch? Real Time Search & Analytics Engine
- 15. whatıselastıcsearch? Open Source - Apache Licence https://github.com/elastic/elasticsearch
- 16. whatıselastıcsearch? Written In Java - Support Cross Platform Elasticsearch Requires Java!!!
- 17. whatıselastıcsearch? Built On Top Of Lucene ● Very Popular, Full Text Search Library ● Project Based
- 18. whatıselastıcsearch? Document Oriented(JSON) - Restful Api
- 20. whatıselastıcsearch? 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. basıcconcepts
- 23. BASICCONCEPTS Elasticsearch Flow At first, Data should index to Elasticsearch Then you can search!
- 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.
- 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
- 31. whouses?
- 33. usecases ALL DATA TYPES SEARCHING
- 35. usecases GEOLOCATION SEARCHING & DISTANCE CALCULATION https://github.com/varunpant/AroundMe
- 36. usecases CENTRALIZED LOGGING Loggly built in Elasticsearch and Kibana
- 39. plugıns&products
- 40. PLUGINS HEAD Web Front End Browsing to Elasticsearch Data and Cluster Management
- 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.
- 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