Elasticsearch JVM-MX Meetup April 2016
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This document provides a 3 sentence summary of an Elasticsearch meetup in Mexico City in April 2016. It introduces Elasticsearch as a open-source search and analytics engine, discusses its features including real-time data, being massively distributed and schema-free, and provides examples of creating an index, mapping types, indexing documents, and searching in Elasticsearch using HTTP requests.
![Search $ http :9200/my_index/my_document/_search?q=user_name:Domingo
HTTP/1.1 200 OK
Content-Length: 657
Content-Type: application/json; charset=UTF-8
{
"_shards": {
"failed": 0,
"successful": 3,
"total": 3
},
"hits": {
"hits": [
{
"_id": "AVRaEdPJ3Lbw2oDzSIWM",
"_index": "my_index",
"_score": 0.625,
"_source": {
"user_name": "Domingo Suarez"
},
"_type": "my_document1"
}
],
"max_score": 0.625, "total": 1
},
"timed_out": false,
"took": 5
}](https://image.slidesharecdn.com/elasticsearch-jvmmx-meetup-april-2016-160429225036/85/Elasticsearch-JVM-MX-Meetup-April-2016-38-320.jpg)
Elasticsearch JVM-MX Meetup April 2016
- 1. Elasticsearch Mexico City JVM Group April 2016
- 2. !Gracias por estar aqui¡
- 3. ¡El meetup con mas asistencia de la historia!
- 4. What is the topic tonight?
- 6. NO
- 8. NO
- 10. NO
- 11. @superserch?
- 12. NO
- 13. Elasticsearch
- 14. YES
- 15. Search
- 16. Do I have to elaborate why search is important?
- 18. Lucene History • Douglass Read "Doug" Cutting wrote Lucene in 1999 • Doug also is the author of Hadoop • In Lucene other projects came to life • Mahout • Tika • Nutch
- 19. Lucene?
- 20. • Lucene is an open-source Java full-text search library which makes it easy to add search functionality to an application or website.
- 21. Index
- 22. Query
- 23. Inverted index • Lucene creates a data structure where it keeps a list of where each word belongs.
- 24. Lucene-Based projects • Solr • Compass • Elasticsearch • Hibernate search
- 25. Elasticsearch You Know, for Search.
- 26. Features • Real-Time Data. I (Domingo) say near Real-Time Data. • Massively Distributed • High Availability • Full-Text Search • Document-Oriented • Schema-Free • Developer-Friendly, RESTful API • Extensible via plugins
- 27. Concepts • Cluster • Node • Index • Shard & Replica • Type • Mapping • Document
- 28. How data is organized in Elasticsearch
- 29. Nodes & shards
- 31. Sharding is crucial • Shard is a physical Lucene index • # documents in a Lucent index is 2 billion docs. • When you create a index you have to declare the # shards, you can’t change later. Beware! • Don’t try to over-sharding your index! Beware!
- 34. HTTPie for the samples
- 35. Creating an index $ http put :9200/my_index/ settings:='{ "index" : { "number_of_shards" : 3, "number_of_replicas" : 0 } }' PUT /my_index/ HTTP/1.1 Accept: application/json Accept-Encoding: gzip, deflate Connection: keep-alive Content-Length: 73 Content-Type: application/json Host: localhost:9200 User-Agent: HTTPie/0.9.3 { "settings": { "index": { "number_of_replicas": 0, "number_of_shards": 3 } } } HTTP/1.1 200 OK Content-Length: 21 Content-Type: application/json; charset=UTF-8 { "acknowledged": true }
- 36. Creating a type $ http put :9200/my_index/_mapping/my_document properties:='{ "user_name": { "type": "string" } }' -v PUT /my_index/_mapping/my_document1 HTTP/1.1 Accept: application/json Content-Length: 49 Content-Type: application/json { "properties": { "user_name": { "type": "string" } } } HTTP/1.1 200 OK Content-Length: 21 Content-Type: application/json; charset=UTF-8 { "acknowledged": true }
- 37. Indexing$ http :9200/my_index/my_document user_name="Domingo Suarez" -v POST /my_index/my_document1 HTTP/1.1 Content-Length: 31 Content-Type: application/json { "user_name": "Domingo Suarez” } HTTP/1.1 201 Created Content-Length: 149 Content-Type: application/json; charset=UTF-8 { "_id": "AVRaEeBK3Lbw2oDzSIWN", "_index": "my_index", "_shards": { "failed": 0, "successful": 1, "total": 1 }, "_type": "my_document1", "_version": 1, "created": true }
- 38. Search $ http :9200/my_index/my_document/_search?q=user_name:Domingo HTTP/1.1 200 OK Content-Length: 657 Content-Type: application/json; charset=UTF-8 { "_shards": { "failed": 0, "successful": 3, "total": 3 }, "hits": { "hits": [ { "_id": "AVRaEdPJ3Lbw2oDzSIWM", "_index": "my_index", "_score": 0.625, "_source": { "user_name": "Domingo Suarez" }, "_type": "my_document1" } ], "max_score": 0.625, "total": 1 }, "timed_out": false, "took": 5 }