The document provides an overview of Elasticsearch, a powerful, open-source search and analytics engine. It outlines its features, such as RESTful API, scalability, and ease of use, along with various commands for indexing, retrieving, updating, and deleting data. Additionally, it discusses querying capabilities, pagination, and the integration of Elasticsearch with Drupal via available modules like search API and elasticsearch_connector.

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

4. Why use
Elasticsearch?

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
}

25. Let's DELETE some
data

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
}

28. Let's SEARCH for
something

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

32. Let's PAGINATE
results

33. Let's PAGINATE
results
> GET /_search?size=10&from=20
size = results per page
from = starting from

34. Let's search oldschool

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,
}
}
}
}

39. Queries & Filters

40. Queries & Filters
full text search exact match
relevance score show or hide
heavy lightning fast
not cacheable cacheable

41. Combine Filters &
Queries

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