DRUPAL AND ELASTICSEARCH
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Presentation of the Elasticsearch and Drupal integration - the Elasticsearch Connector module and other magic. https://drupalcampkyiv.org/node/68
![and Facets
"aggregations" : {
"<aggregation_name>" : {
"<aggregation_type>" : {
<aggregation_body>
}
[,"meta" : { [<meta_data_body>] } ]?
[,"aggregations" : { [<sub_aggregation>]+ } ]?
}
[,"<aggregation_name_2>" : { ... } ]*
}](https://image.slidesharecdn.com/drupalcamp2019-190530152429/85/DRUPAL-AND-ELASTICSEARCH-45-320.jpg)
![Elasticsearch And Ruby [RuPy2012]](https://cdn.slidesharecdn.com/ss_thumbnails/elasticsearchandruby-karelminarik-rupy2012-121118065224-phpapp01-thumbnail.jpg?width=560&fit=bounds)
![[Coscup 2012] JavascriptMVC](https://cdn.slidesharecdn.com/ss_thumbnails/coscupjavascriptmvc-120818115356-phpapp01-thumbnail.jpg?width=560&fit=bounds)
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DRUPAL AND ELASTICSEARCH
- 1. Drupal And ElasticsearchAlex Goja
- 2. Flexible and powerful open source, distributed real-time search and analytics engine for the cloud Elasticsearch
- 3. Flexible and powerful open source, distributed real-time search and analytics engine for the cloud Elasticsearch RESTful API on top of Lucene library
- 5. Why use Elasticsearch? ● RESTful API ● Open Source ● JSON over HTTP ● based on Lucene ● distributed ● highly available ● schema free ● massively scalable
- 7. How to use it?
- 8. How to use it? > curl -XGET localhost:9200/?pretty
- 9. How to use it? > 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" }
- 10. How to use it? > curl -XGET localhost:9200/?pretty action
- 11. How to use it? > curl -XGET localhost:9200/?pretty node + port
- 12. How to use it? > curl -XGET localhost:9200/?pretty path
- 13. How to use it? > curl -XGET localhost:9200/?pretty query string
- 14. Let's index some data
- 15. Let's index some data > PUT /index/type/id Where? It's very similar to database in SQL
- 16. Let's index some data > PUT /index/type/id What? Table Content type, Entity type, any kind of type you decide
- 17. Let's index some data > PUT /index/type/id Which? Node ID, Entity ID, any kind of serial ID
- 18. Let's index some data > PUT /mysite/node/1 { "nid": "1", "status": "1", "title": "Hello elasticsearch", "body": "First elasticsearch document" }
- 19. Let's index some data > 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 }
- 20. Let's GET some data
- 21. Let's GET some data > 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" } }
- 22. Let's GET some data Get specific fields > GET /mysite/node/1?fields=title,body Get source only > GET /mysite/node/1/_source
- 23. Let's UPDATE some data > PUT /mysite/node/1 { “status":"0" }
- 24. Let's UPDATE some data > PUT /mysite/node/1 { "status":"0" } { "ok":true, "_index":"mysite", "_type":"node", "_id":"1", "_version":2 }
- 26. Let's DELETE some data > DELETE /mysite/node/1
- 27. Let's DELETE some data > DELETE /mysite/node/1 { "ok":true, "found":true, "_index":"mysite", "_type":"node", "_id":"1", “_version":3 }
- 29. Let's SEARCH for something > GET /_search { "took" : 32, "timed_out" : false, "_shards" : { "total" : 20, "successful" : 20, "failed" : 0 }, "hits" : { results... } }
- 30. Let's SEARCH in multiple indices and types
- 31. Let's SEARCH in multiple indices and types > GET /index/_search > GET /index1,index2/_search > GET /index/type/_search > GET /myapp_*/type, entity_*/_search
- 33. Let's PAGINATE results > GET /_search?size=10&from=20 size = results per page from = starting from
- 35. Let's search oldschool > GET /_search?q=title:elasticsearch > GET /_search?q=nid:60
- 36. Query DSL style
- 37. Query DSL style > GET /_search?size=10&from=20 { "query": { “match": "awesome" } }
- 38. Query DSL style > GET /_search?size=10&from=20 { "query": { "field" : { "title" : { “query" : "+awesome -poor", "boost" : 2.0, } } } }
- 40. Queries & Filters full text search exact match relevance score show or hide heavy lightning fast not cacheable cacheable
- 42. Combine Filters & Queries { "query": { "filtered": { "query": { "match": { "title": "awesome" } }, "filter": { "term": { "type": "article" } } } } } > GET /_search
- 43. Sorting
- 44. Sorting { "query": { "filtered": { "query": { “match": { "title": "awesome" } }, "filter": { "term": { "type": "article" } } } } "sort": {"date":"desc"} } > GET /_search
- 45. and Facets "aggregations" : { "<aggregation_name>" : { "<aggregation_type>" : { <aggregation_body> } [,"meta" : { [<meta_data_body>] } ]? [,"aggregations" : { [<sub_aggregation>]+ } ]? } [,"<aggregation_name_2>" : { ... } ]* }
- 46. and Facets > GET /_search { "aggregations": { "home_team": { "terms": { "field": “field_home_team" } } } }
- 47. and Facets > GET /_search { "aggregations": { "home_team": { "terms": { "field": “field_home_team" } } } } Give your facet a name
- 48. and Facets > GET /_search { "aggregations": { "home_team": { "terms": { "field": “field_home_team" } } } } Your facet filter can be: ● Terms ● Range ● Histogram ● Date Histogram ● Filter ● Query ● Statistical ● Terms Stats ● Geo Distance ● Cardinality ● Nested
- 49. and Facets "aggregations" : { "home_team" : { "_type" : "terms", "missing" : 203, "total" : 100, "other" : 42, "terms" : [ { "term" : "hou", "count" : 8 }, { "term" : "sln", "count" : 6 }, ...
- 50. STOP! I want this in Drupal
- 51. STOP! I want this in Drupal Available modules: Search API + elasticsearch_connector
- 52. Let the Search be with you