This document discusses search technologies including ElasticSearch, Lucene, SQL, NoSQL, and inverted indexes. It provides information on ElasticSearch features such as its RESTful API, indexing, mapping, aggregations, highlighting, autocomplete, and evaluation metrics like precision and recall. Examples are given of using ElasticSearch with MongoDB through Mongo-Connector and Chinese text segmentation with Jieba.

1. @dylanninin
2016-04-14

3. • Ctrl + F
• String Search
• Regular Expression
• SQL
• NoSQL
• Search Engine
• Site Search

6. ElasticSearch

7. •
• Lucene
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•
•
•
•
• RESTful API
•

9. ElasticSearch MongoDB MySQL
Index Database Database
Type Collection Table
Doc Document Row
Field Field Column
Mapping Schema Schema
Everything Indexed Index Index
DSL Query Query SQL

10. http://openplay-staging:19200/_plugin/hq/

12. OPID, /

15. Doc

16. mapping instance

18. 2. _id Document ObjectId
1. JSON Document
3. RESTful API

20. OpenPlay query syntax
URL

21. ElasticSearch Query DSL

22. 1.
2.

24. ElasticSearch

25. OpenPlay example
1. Mongo-Connector
2. Create/Update/Delete
3. Mongo-Connector

26. OpenPlay example
1.
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•
•
•

27. OpenPlay example
1.
2.
•
•

30. jieba

31. 1.

32. 1. ik

33. 1.
2.
“ / ”, “ ”
O(n)

35. Search: brown quick

36. inverted index

37. brown quick
inverted index

38. inverted index
inverted index
Quick, quick
dog, dogs
jumped, leap

41. 1. aggs
2.

45. 1. highlight
2.

48. 1. Mapping suggest

49. 1. Mapping suggest
2.

50. 1. Mapping suggest
3.

52. 1. (precision)
2. (recall)

55. 1.
2.

56. QA

57. • Wiki: Search Engine
• https://www.elastic.co/guide/index.html
• ElasticSearch
• ElasticSearch
• Lucene
• Mongo-Connector
• Jieba
•
• Inverted Index
• Wiki: Precision Recall
• Information Retrieval and Web Search