RediSearch
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This document discusses Redis and its RedisSearch module. Redis does not natively support indexing or searching of text data. The RedisSearch module adds full-text search capabilities to Redis by indexing and tokenizing text for queries. Examples show how to create an index, add documents to the index, and perform searches on the indexed data using the RedisSearch API.
![Key
"I'm a Plain Text String!"
{ A: “foo”, B: “bar”, C: “baz” }
{ A , B , C , D , E }
[ A → B → C → D → E ]
{ A: 0.1, B: 0.3, C: 100, D: 1337 }
{ A: (51.5, 0.12), B: (32.1, 34.7) }
00110101 11001110 10101010
Looks like a
set will do!](https://image.slidesharecdn.com/redisearchreversim-171102164725/85/RediSearch-5-320.jpg)
![●
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Key
[doc1, doc2, …]
{title:“Toshiba 32 LCD TV”, …}
{200..400: [prod1, prod2, …]… }
Toshib*
{ A: (51.5, 0.12), B: (32.1, 34.7) }](https://image.slidesharecdn.com/redisearchreversim-171102164725/85/RediSearch-16-320.jpg)
![@title:lcd tv @price:[100 300]
@title:lcd tv @price:[(100 +inf]
27](https://image.slidesharecdn.com/redisearchreversim-171102164725/85/RediSearch-27-320.jpg)
![@title:(lcd tv)
@price:[100 500]
-@type:4K|Plasma
31](https://image.slidesharecdn.com/redisearchreversim-171102164725/85/RediSearch-31-320.jpg)
![FT.SEARCH products
“@title|body:(lcd 42|44|50)
@cats:(tvs|electronics )
@brand:(samsung|sony)
@price:[200 500]”
LIMIT 0 20
SORTBY price DESC](https://image.slidesharecdn.com/redisearchreversim-171102164725/85/RediSearch-38-320.jpg)
RediSearch
- 3. ● ● ● Redis has no built in concept of indexing!
- 5. Key "I'm a Plain Text String!" { A: “foo”, B: “bar”, C: “baz” } { A , B , C , D , E } [ A → B → C → D → E ] { A: 0.1, B: 0.3, C: 100, D: 1337 } { A: (51.5, 0.12), B: (32.1, 34.7) } 00110101 11001110 10101010 Looks like a set will do!
- 6. ● ○ ○ redis> SADD hello doc1 redis> SADD world doc1 redis> SINTER hello world
- 7. ● ● ● ●
- 8. ● ● ● ●
- 10. ● ● ● ● ● ●
- 11. ● ○ ○ ○ ○
- 15. … … … Text: “lcd tv” Price: 500 Doc1 Intersect Index Entries
- 16. ● ● ● ○ ○ ○ Key [doc1, doc2, …] {title:“Toshiba 32 LCD TV”, …} {200..400: [prod1, prod2, …]… } Toshib* { A: (51.5, 0.12), B: (32.1, 34.7) }
- 18. 18
- 19. ● ● ● ● ●
- 20. INTERSECT UNION Obama Barack Barak Date: 2010-2016 Scoring functionResult Processor
- 22. Hello world means: hello AND world 22
- 23. "Hello world" 23
- 24. Hello|hola world|mundo (hello world)|(hola mundo) 24
- 26. @title|body:Hello world @pic:jpg modifiers are implicitly "AND"ed 26
- 27. @title:lcd tv @price:[100 300] @title:lcd tv @price:[(100 +inf] 27
- 28. @title:tv ~@description:lcd optional matches just increase score 28
- 30. Hello wo* 30
- 32. ● ● ● ○ ○ ● ●
- 35. ● ● ○ ○ ○ ○ ○ ●
- 36. FT.CREATE products SCHEMA title TEXT SORTABLE body TEXT cats TEXT NOSTEM brand TEXT NOSTEM price NUMERIC SORTABLE
- 37. FT.ADD products prod1 0.58 FIELDS title “Samsung 42 Inch LCD TV” brand “Samsung” body “Is Nice TV!” cats “tvs, electronics” price 350
- 38. FT.SEARCH products “@title|body:(lcd 42|44|50) @cats:(tvs|electronics ) @brand:(samsung|sony) @price:[200 500]” LIMIT 0 20 SORTBY price DESC
- 40. ● ● ●
- 41. ● ● ● ● ○ ○ ○
- 50. ● ● ● ● ●
- 57. ● ● ●
- 58. Dvir Volk Senior Architect Redis Labs @dvirsky
- 60. ● ● ● ●
- 61. Query 1 Query 2 Query 3 Query 4 Query 1 Query 1 Query 2 Query 3 Query 2 Query 2 ElapsedTime Serial Query Execution Concurrent Query Execution Query 4