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BOOTIFUL MULTI-MODEL APPLICATIONS

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BOOTIFUL MULTI-MODEL APPLICATIONS with Redis Stack

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bsb@redis.com @bsbodden github.com/bsbodden

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THE PREMISE OF THIS SESSION...

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YOUR CACHE IS YOUR DATABASE!

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AND IF YOUR CACHE IS YOUR DATABASE...

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THEN YOUR CACHE SHOULD BE A REAL DATABASE!

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REDIS ≅CACHE

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REDIS ≅CACHE

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REDIS ≅CACHE

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REMOTE DICTIONARY SERVER

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REMOTE DICTIONARY SERVER

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REMOTE DICTIONARY SERVER

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REMOTE DICTIONARY SERVER

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In-memory First Optionally Persistent

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REMOTE DATA STRUCTURE SERVER

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REMOTE DATA STRUCTURE SERVER

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REMOTE DATA STRUCTURE SERVER

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REMOTE DATA STRUCTURE SERVER

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REMOTE DATA STRUCTURE SERVER

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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) }

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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) }

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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) }

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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) }

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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) }

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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) }

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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) }

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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) }

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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) }

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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) }

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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) }

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RedisJSON

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RediSearch

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RedisGraph

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RedisTimeSeries

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RedisAI

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RedisGears

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RedisBloom

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REDIS STACK

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Docker Hub Installers Redis Cloud https://redis.io/docs/stack/

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LOW-LEVEL COMMAND-BASED

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Lettuce LOW-LEVEL COMMAND-BASED

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Jedis Lettuce LOW-LEVEL COMMAND-BASED

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Jedis Lettuce JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients LOW-LEVEL COMMAND-BASED

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Jedis Lettuce JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients LOW-LEVEL COMMAND-BASED COMMAND-BASED AND SOME QUERYING APIS

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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

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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

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JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients Redis OM Spring

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JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients Redis OM Spring

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Spring Data Redis JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients Redis OM Spring

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Spring Data Redis JRedisJSON JRediSearch JRedisBloom JRedisTimeSeries JRedisGraph JRedisAI JRedisGears Jedis-based Module Clients Redis OM Spring MULTI-MODEL OBJECT-MAPPING AND QUERYING

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LET'S BUILD SOMETHING!

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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

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https://developer.redis.com/riot IF LOADING A LOT OF DATA INTO REDIS...

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https://developer.redislabs.com/riot

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https://developer.redislabs.com/riot Julien Ruaux

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https://developer.redislabs.com/riot Julien Ruaux Not Brian

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https://github.com/bsbodden/bootiful-redis-stack ALL THE CODE CAN BE FOUND AT:

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https://redis.io/modules https://redis.com/community/redis-modules-hub/ https://redis.com/modules/get-started/ github.com/redis/redis-om-spring

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TRY STACK ON REDIS CLOUD! https://redis.com/try-free/ USE CODE RESP200 FOR $200 IN CREDITS!

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LEARN MORE AT REDIS DEVELOPER https://developer.redis.com

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LEARN MORE AT REDIS UNIVERSITY https://university.redis.com

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THANK YOU!!!

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THANK YOU!!!