ElasticSearch Introduction
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This document provides an introduction and overview of ElasticSearch, including: - ElasticSearch is an open source search and analytics engine that is written in Java and based on Lucene. It allows for full text search, real-time analytics, and distributed scaling. - The document outlines the server-side and client-side architecture, including indexing data, performing searches, and using plugins and APIs. - Examples are provided of starting an ElasticSearch cluster, indexing and searching for data, and using features like scroll searching and facets.
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ElasticSearch Introduction
- 1. ElasticSearch Introduction Minh Hoang TO Semptember 18, 2014
- 2. Agenda Introduction Server-side Client-side Demo
- 3. Introduction Server-side Client-side Demo Overview Getting Started ElasticSearch? Open source search platform: Written in Java Bases on Lucene & Netty Released as standalone Java application Latest Stable Release: 1.3.1 3 / 19
- 4. Introduction Server-side Client-side Demo Overview Getting Started Features Full Text Search Scroll Search Facet Search Scripting Near-Real-Time (NRT) Index Dynamic Con
- 5. guration Pluggable Architecture Distributed Design in Mind Built-in Support for Installation on AWS, Azure Multiple community-backed Management Tools 4 / 19
- 6. Introduction Server-side Client-side Demo Overview Getting Started Install & Start Extract elastic search u nz i p e l a s t i c s e a r c h 1.3.1. t a r . gz t a r x v f e l a s t i c s e a r c h 1.3.1. t a r Run Elastic Search: $fES HOMEg/ b i n / e l a s t i c s e a r c h 5 / 19
- 7. Introduction Server-side Client-side Demo Overview Getting Started Data Indexing Data indexing request: http://localhost:9200/findexg/ ftypeg/fidg POST Indexing article in demoindex index with article type and id equals to 123456 : curl http://localhost:9200/ demoindex/article/123456 -d '$fdata in JSON formatg' 6 / 19
- 8. Introduction Server-side Client-side Demo Overview Getting Started Full Text Search Search request: http://localhost:9200/ findexg/ftypeg/ search?q= GET http://localhost:9200/ findexg/ftypeg/ search POST Examples: c u r l XGET ht tp : / / l o c a l h o s t :9200/ demoindex / a r t i c l e / s e a r c h ?q= c o n t e n t : Ebola c u r l XPOST h t tp : / / l o c a l h o s t :9200/ demoindex / a r t i c l e / s e a r c h d 'f que r y : f term : f c o n t e n t : Ebola g g g' 7 / 19
- 9. Introduction Server-side Client-side Demo Overview Getting Started Scroll Search 'Iterate over items matching search query to
- 10. nd the
- 11. rst item matching certain criteria might be expensive' Scroll Search: 1 Send search request to get scroll id ht tp : / / l o c a l h o s t :9200/ s e a r c h / s c r o l l POST 2 Fetch items progressively with scroll id ht tp : / / l o c a l h o s t :9200/ s e a r c h / s c r o l l /f s c r o l l i dg GET 8 / 19
- 12. Introduction Server-side Client-side Demo Overview Getting Started Facet Search facets parameter in search query: f . . . . . f a c e t s : f t a g s : f t e rms : f f i e l d : t a g s g g g . . . . g 9 / 19
- 13. Introduction Server-side Client-side Demo Overview Getting Started Administration Tool Admin API exposed but no built-in Administra- tion GUI Tools from Elastic Search Community: Marvel, Kibana,... 10 / 19
- 14. Introduction Server-side Client-side Demo Architecture Data Model Con
- 15. guration Plugins ElasticSearch Instance 11 / 19
- 16. Introduction Server-side Client-side Demo Architecture Data Model Con
- 17. guration Plugins ElasticSearch Cluster Node Elastic Search Instance Cluster One or many nodes sharing common cluster name Index Storage of ElasticSearch data, index might span over multiple nodes Primary Shard Node stores index data into Primary Shard Replica Shard Copy of Primary Shard 12 / 19
- 18. Introduction Server-side Client-side Demo Architecture Data Model Con
- 19. guration Plugins ElasticSearch Document Data in JSON format One-to-one mapping to Lucene Document Stored in one Primary Shard and its Replicas 13 / 19
- 20. Introduction Server-side Client-side Demo Architecture Data Model Con
- 22. guration Declarative setting in: $fES HOMEg/con
- 23. g /elasticsearch.yml Setting could be setup on-the- y via RESTful API: http://localhost:9200 / settings 14 / 19
- 24. Introduction Server-side Client-side Demo Architecture Data Model Con
- 25. guration Plugins ElasticSearch Plugin Building plugin is the canonical way to extend or to customise the core services 15 / 19
- 26. Introduction Server-side Client-side Demo Client API Routing ElasticSearch Client Applications talk to ElasticSearch server via Native or HTTP-based clients: Native: establish connection to node(s) in cluster: Fully asynchronous Only available in Java HTTP-based: make calls to REST API: Not fully asynchronous Available in multiple Programming Languages 16 / 19
- 27. Introduction Server-side Client-side Demo Client API Routing Shard Routing App: I need the list of articles containing 'Maria Ozawa' ES: No hint on shard ID? I need to broadcast to all shards, then aggregate responses and return the list to you. Be patient App: Same request, but i remember assigning 'routing=jap adult' while asking you to index those articles ES: 'routing=jap adult' ? Those articles are in Shard 2, i am returning you the list soon 17 / 19
- 28. Introduction Server-side Client-side Demo Demo QA Demo Local ElasticSearch cluster with: 3 nodes. 5 shards per node. Marvel installed. demo-plugin installed ElasticSearch integration into Service+ 18 / 19
- 29. Introduction Server-side Client-side Demo Demo QA 19 / 19