Bootiful multi-model applications with Redis Stack

Redis Stack provides a seamless and straightforward way to use different data models and functionality from Redis, including a document store, a graph database, a time series data database, probabilistic data structures, and a full-text search engine. In this session, I will walk you thru the building of a Spring Boot application that uses a hybrid model with Redis OM Spring. Redis OM Spring provides a robust repository and custom object-mapping abstractions built on the powerful Spring Data Redis (SDR) framework to tap into all the modules of Redis Stack.

Transcript

1. BOOTIFUL MULTI-MODEL APPLICATIONS
2. BOOTIFUL MULTI-MODEL APPLICATIONS with Redis Stack
3. bsb@redis.com @bsbodden github.com/bsbodden
4. THE PREMISE OF THIS SESSION...
5. YOUR CACHE IS YOUR DATABASE!
6. AND IF YOUR CACHE IS YOUR DATABASE...
7. THEN YOUR CACHE SHOULD BE A REAL DATABASE!
9. REDIS ≅CACHE
10. REDIS ≅CACHE
11. REDIS ≅CACHE
13. REMOTE DICTIONARY SERVER
14. REMOTE DICTIONARY SERVER
15. REMOTE DICTIONARY SERVER
16. REMOTE DICTIONARY SERVER
17. In-memory First Optionally Persistent
18. REMOTE DATA STRUCTURE SERVER
19. REMOTE DATA STRUCTURE SERVER
20. REMOTE DATA STRUCTURE SERVER
21. REMOTE DATA STRUCTURE SERVER
22. REMOTE DATA STRUCTURE SERVER
23. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
24. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
25. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
26. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
27. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
28. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
29. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
30. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
31. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
32. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
33. Lists [ A → B → C → D → E ] Hashes { A: “foo”, B: “bar”, C: “baz” } Bitmaps 0011010101100111001010 Strings "I'm a Plain Text String!” Bit field {23334}{112345569}{766538} 🗝 KEY Streams →{id1=time1.seq1(A:“xyz”, B:“cdf”), d2=time2.seq2(D:“abc”, )}→ Hyperloglog 00110101 11001110 Sorted Sets { A: 0.1, B: 0.3, C: 100 } Sets { A , B , C , D , E } Geospatial Indexes { A: (51.5, 0.12), B: (32.1, 34.7) }
38. RedisJSON
40. RediSearch
42. RedisGraph
44. RedisTimeSeries
46. RedisAI
48. RedisGears
50. RedisBloom
51. REDIS STACK
52. Docker Hub Installers Redis Cloud https://redis.io/docs/stack/
57. LOW-LEVEL COMMAND-BASED
58. Lettuce LOW-LEVEL COMMAND-BASED
59. Jedis Lettuce LOW-LEVEL COMMAND-BASED
60. Jedis Lettuce JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients LOW-LEVEL COMMAND-BASED
61. Jedis Lettuce JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients LOW-LEVEL COMMAND-BASED COMMAND-BASED AND SOME QUERYING APIS
62. Jedis Lettuce Spring Data Redis JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients LOW-LEVEL COMMAND-BASED COMMAND-BASED AND SOME QUERYING APIS
63. Jedis Lettuce Spring Data Redis JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients LOW-LEVEL COMMAND-BASED TEMPLATES + BASIC OBJECT-MAPPING/INDEXING COMMAND-BASED AND SOME QUERYING APIS
64. JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients Redis OM Spring
65. JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients Redis OM Spring
66. Spring Data Redis JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients Redis OM Spring
67. Spring Data Redis JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients Redis OM Spring MULTI-MODEL OBJECT-MAPPING AND QUERYING
68. LET'S BUILD SOMETHING!
69. DEMO A sample domain mapped to Redis Hashes Spring Data Repositories powered by RediSearch A sample domain mapped to Redis JSON More complex searching with RediSearch Some extras (ITP)... 
 Entity Streams, Bloom Filters, AutoComplete
70. https://developer.redis.com/riot IF LOADING A LOT OF DATA INTO REDIS...
71. https://developer.redislabs.com/riot
72. https://developer.redislabs.com/riot Julien Ruaux
73. https://developer.redislabs.com/riot Julien Ruaux Not Brian
74. https://github.com/bsbodden/bootiful-redis-stack ALL THE CODE CAN BE FOUND AT:
75. https://redis.io/modules https://redis.com/community/redis-modules-hub/ https://redis.com/modules/get-started/ github.com/redis/redis-om-spring
76. TRY STACK ON REDIS CLOUD! https://redis.com/try-free/ USE CODE RESP200 FOR $200 IN CREDITS!
77. LEARN MORE AT REDIS DEVELOPER https://developer.redis.com
78. LEARN MORE AT REDIS UNIVERSITY https://university.redis.com
79. THANK YOU!!!
80. THANK YOU!!!