ElasticSearch Getting Started

1. ElasticSearch arhitecture
2. How ElasticSearch stores data
3. Full Text Search
3. Plugins

Transcript

1. Onuralp Taner @onuralptaner github.com/onuralp
2. Why We Need Why We Need Performance No Locking Auto Scale up / down Full Text Search Easy To Use
4. Case Studies Case Studies
6. Usage Statistics source: http://www.elastichq.org/elasticsearchstats.php
7. what is elastic search? what is elastic search? Elasticsearch is a highly available, highly customizable and distributed search engine.
8. Document Document Json Object Core filed types (String, Numbers, Booleans) Complex field types (Arrays, Objects) Additional filed types (GeoPoints, Biniaries,)
9. Node Node a running ElasticSearch instance (JVM) Cluster Cluster a group of nodes Shard Shard a part of an index a Luvene index under the hood primary: unique in the cluster replica: one or more copy of the primary
10. Key Features Key Features distributed high availability multi tenancy full text search document oriented schema free restful
11. build on top of apache lucene build on top of apache lucene Apache Lucene is a high performance, full-featured Information Retrieval library, written in Java. Elasticsearch uses Lucene internally to build its state of the art distributed search and analytics capabilities.
12. Distributed Distributed Start small, but will grow with your business. It is built to scale horizontally out of the box. As you need more capacity, just add more nodes, and let the cluster reorganize itself.
13. Auto Scale Up / Down Auto Scale Up / Down
14. high availability high availability They will detect and remove failed nodes, and reorganize themselves.
15. Multi Tenancy Multi Tenancy A cluster can host multiple indices which can be queried independently or as a group
16. Full Text Search Full Text Search Search comes with multi-language support, a powerful query language, support for geolocation, context aware did-you-mean suggestions, autocomplete and search snippets.
17. How It works How It works
18. Document Oriented Document Oriented Store complex real world entities in Elasticsearch as structured JSON documents. All fields are indexed by default, and all the indices can be used in a single query, to return results at breath taking speed.
19. Schema Free Schema Free Toss it a JSON document and it will try to detect the data structure, index the data and make it searchable.
20. RESTful API RESTful API Almost any action can be performed using a simple RESTful API using JSON over HTTP. GET, POST, PUT, DELETE
28. Easy To Use Easy To Use
29. Head Plug-in Head Plug-in elasticsearch-head is a web front end for browsing and interacting with an Elastic Search cluster.
30. Marvel Marvel get complete transparency into the state of your elasticsearch get complete transparency into the state of your elasticsearch deployment deployment
31. Sense Sense A JSON aware developer's interface to ElasticSearch.
32. ElasticSearch As a Service ElasticSearch As a Service
33. Let's Try Let's Try
34. Questions Questions
35. Thanks Thanks