MongoDB Full Text Search

2. Insert test data with column name and description
4. > Db.stores.insert (
6. ... [
8. ... {_id:1, name: "Java Hut", Description: "Coffee and Cakes"},
10. ... {_id:2, name: "Burger Buns", Description: "Gourmet Hamburgers"},
12. ... {_id:3, name: "Coffee Shop", Description: "Just Coffee"},
14. ... {_id:4, name: "Clothes Clothes Clothes", Description: "Discount clothing"},
16. ... {_id:5, name: "Java Shopping", Description: "Indonesian Goods"}
18. ... ]
20. ... )
22. Bulkwriteresult ({
24. "writeerrors": [],
26. "writeconcernerrors": [],
28. "ninserted": 5,
30. "nupserted": 0,
32. "nmatched": 0,
34. "nmodified": 0,
36. "nremoved": 0,
38. "upserted": []
40. })
42. Built on stores so contains the name column and the description are both text
44. > Db.stores.createIndex ({ name: "text", Description: "Text"})
46. {
48. "createdcollectionautomatically": false,
50. "Numindexesbefore": 1,
52. "Numindexesafter": 2,
54. "OK": 1
56. }
58. Performing a full-text search will result in keyword segmentation and matching results, which can be measured by a small amount of data.
60. > Db.stores. find ({$text: {$search: "java Coffee Shop"}})
62. {"_id": 3, "name": "Coffee Shop", "description": "Just Coffee"}
64. {"_id": 1, "name": "Java Hut", "description": "Coffee and Cakes"}
66. {"_id": 5, "name": "Java Shopping", "description": "Indonesian Goods"}

Advantage: Real-time full-text search.

Do not know how performance, do not support highlighting this display, only in the 3.2+ version is supported Chinese word segmentation.

Under the general understanding, the temporary will not use, later use can read the manual in detail:

https://docs.mongodb.com/manual/text-search/

MongoDB Full-Text search