Real-time search in Drupal. Meet Elasticsearch
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This document provides an introduction to using Elasticsearch for real-time search in Drupal. It discusses Elasticsearch's features like being RESTful, open source, JSON over HTTP, distributed, highly available, and schema free. It then demonstrates how to setup Elasticsearch, index and search data, and use facets. Finally, it mentions Elasticsearch and Search API Elasticsearch modules for Drupal, and ongoing work to implement the Field Storage API in Elasticsearch to integrate it more fully into Drupal.
Real-time search in Drupal. Meet Elasticsearch
- 1. Real-time search in Drupal. Meet Elasticsearch By Alexei Gorobets asgorobets
- 2. Elasticsearch Flexible and powerful open source, distributed real-time search and analytics engine for the cloud
- 3. Elasticsearch Flexible and powerful open source, distributed real-time search and analytics engine for the cloud RESTful API on top of Lucene library
- 5. ● RESTful API ● Open Source ● JSON over HTTP ● based on Lucene ● distributed ● highly available ● schema free ● massively scalable
- 6. STOP! Why not SOLR?
- 7. ● Solr vs Elasticsearch: Features Smackdown ● Detailed overview ● Slideshare presentation by Sematext ● Realtime Search: Solr vs Elasticsearch Apache Solr vs Elasticsearch
- 9. Setup in 2 steps: 1. Extract the archive 2. > bin/elasticsearch
- 10. How to use it?
- 11. > curl -XGET localhost:9200/?pretty
- 12. > curl -XGET localhost:9200/?pretty { "ok" : true, "status" : 200, "name" : "Infinity", "version" : { "number" : "0.90.1", "snapshot_build" : false, "lucene_version" : "4.3" }, "tagline" : "You Know, for Search" }
- 13. > curl -XGET localhost:9200/?pretty action
- 14. > curl -XGET localhost:9200/?pretty node + port
- 15. > curl -XGET localhost:9200/?pretty path
- 16. > curl -XGET localhost:9200/?pretty query string
- 17. Let's index some data
- 18. > PUT /index/type/id Where? It's very similar to database in SQL
- 19. > PUT /index/type/id What? Table Content type, Entity type, any kind of type you decide
- 20. > PUT /index/type/id Which? Node ID, Entity ID, any kind of serial ID
- 21. > PUT /mysite/node/1 -d { "nid": "1", "status": "1", "title": "Hello elasticsearch", "body": "First elasticsearch document" }
- 22. > PUT /mysite/node/1 -d { "nid": "1", "status": "1", "title": "Hello elasticsearch", "body": "First elasticsearch document" } { "ok":true, "_index":"mysite", "_type":"node", "_id":"1", "_version":1 }
- 23. Let's GET some data
- 24. > GET /mysite/node/1 { "_index" : "mysite", "_type" : "node", "_id" : "1", "_version" : 1, "exists" : true, "_source" : { "nid":"1", "status":"1", "title":"Hello elasticsearch", "body":"First elasticsearch document" }
- 25. > GET /mysite/node/1?fields=title,body Get specific fields
- 26. > GET /mysite/node/1?fields=title,body Get specific fields > GET /mysite/node/1/_source Get source only
- 27. Let's UPDATE some data
- 28. > PUT /mysite/node/1 -d { "status":"0" }
- 29. > PUT /mysite/node/1 -d { "ok":true, "_index":"mysite", "_type":"node", "_id":"1", "_version":2 } { "status":"0" }
- 30. UPDATE = DELETE + PUT
- 31. Let's DELETE some data
- 34. Let's SEARCH for something
- 35. > GET /_search
- 36. > GET /_search { "took" : 32, "timed_out" : false, "_shards" : { "total" : 20, "successful" : 20, "failed" : 0 }, "hits" : { results... } }
- 37. Let's SEARCH in multiple indices and types
- 38. > GET /index/_search > GET /index/type/_search > GET /index1,index2/_search > GET /myapp_*/type, entity_*/_search
- 40. > GET /_search?size=10&from=20 size = results per page from = starting from
- 42. > GET /_search?q=title:elasticsearch > GET /_search?q=nid:60
- 45. Query DSL style
- 46. > GET /_search -d { "query": { "match": "awesome" } }
- 47. > GET /_search -d { "query": { "field" : { "title" : { "query" : "+awesome -poor", "boost" : 2.0, } } } }
- 49. Queries & Filters full text search relevance score heavy not cacheable exact match show or hide lightning fast cacheable
- 50. Combine Filters & Queries
- 51. > GET /_search -d { "query": { "filtered": { "query": { "match": { "title": "awesome" } }, "filter": { "term": { "type": "article" } } } } }
- 52. and Sorting
- 53. > GET /_search -d { "query": { "filtered": { "query": { "match": { "title": "awesome" } }, "filter": { "term": { "type": "article" } } } } "sort": {"date":"desc"} }
- 54. and Facets
- 55. Facets on Amazon
- 56. > GET /_search -d { "facets": { "home_team": { "terms": { "field": "field_home_team" } } } }
- 57. > GET /_search -d { "facets": { "home_team": { "terms": { "field": "field_home_team" } } } } Give your facet a name
- 58. > GET /_search -d { "facets": { "home_team": { "terms": { "field": "field_home_team" } } } } Your facet filter can be: ● Terms ● Range ● Histogram ● Date Histogram ● Filter ● Query ● Statistical ● Terms Stats ● Geo Distance
- 59. "facets" : { "home_team" : { "_type" : "terms", "missing" : 203, "total" : 100, "other" : 42, "terms" : [ { "term" : "hou", "count" : 8 }, { "term" : "sln", "count" : 6 }, ...
- 60. STOP! I want this in Drupal?
- 61. Available modules: elasticsearch Search API elasticsearch
- 62. Development directions: 1. Search API implementation 2. Field Storage API Available modules: elasticsearch Search API elasticsearch
- 63. Field Storage API implementation Elasticsearch field storage sandbox by Damien Tournoud Started in July 2011
- 64. Field Storage API implementation Elasticsearch field storage sandbox by Damien Tournoud Started in July 2011 Elasticsearch EntityFieldQuery sandbox Commited today! =)
- 65. Let's DEMO
- 67. Let the Search be with you