![Range Queries
Inclusive - @Timestamp:[1660731559 1660731559]
Exclusive - @Timestamp:[(1660731559 (1660731559]
upper/lower bounds - @Timestamp:[-inf +inf]](https://image.slidesharecdn.com/floridamanusescacheasdatabase-220819133624-bb06fa8c/85/Florida-Man-Uses-Cache-as-Database-pdf-43-320.jpg)
![[Document(StorageType = StorageType.Json)]
public class Article](https://image.slidesharecdn.com/floridamanusescacheasdatabase-220819133624-bb06fa8c/85/Florida-Man-Uses-Cache-as-Database-pdf-47-320.jpg)
![Declaring an Id field
[RedisIdField]
public Ulid Id { get; set; }](https://image.slidesharecdn.com/floridamanusescacheasdatabase-220819133624-bb06fa8c/85/Florida-Man-Uses-Cache-as-Database-pdf-48-320.jpg)
![Field Decoration - Full Text Search
[Searchable]
public string Title { get; set; }](https://image.slidesharecdn.com/floridamanusescacheasdatabase-220819133624-bb06fa8c/85/Florida-Man-Uses-Cache-as-Database-pdf-49-320.jpg)
![Field Decoration - Numerics
[Indexed]
public long Timestamp { get; set; }](https://image.slidesharecdn.com/floridamanusescacheasdatabase-220819133624-bb06fa8c/85/Florida-Man-Uses-Cache-as-Database-pdf-50-320.jpg)
![Field Decoration - Exact Matches
[Indexed]
public string Source { get; set; }](https://image.slidesharecdn.com/floridamanusescacheasdatabase-220819133624-bb06fa8c/85/Florida-Man-Uses-Cache-as-Database-pdf-51-320.jpg)
![Field Decoration - Embedded Objects
[Indexed(CascadeDepth = 1)]
public MetaData MetaData { get; set; }](https://image.slidesharecdn.com/floridamanusescacheasdatabase-220819133624-bb06fa8c/85/Florida-Man-Uses-Cache-as-Database-pdf-52-320.jpg)
![Field Decoration - Embedded Objects
[Indexed(JsonPath = "$.Source")]
public MetaData MetaData { get; set; }](https://image.slidesharecdn.com/floridamanusescacheasdatabase-220819133624-bb06fa8c/85/Florida-Man-Uses-Cache-as-Database-pdf-53-320.jpg)
Florida Man Uses Cache as Database.pdf
- 3. ● What is Redis? ● Dispelling Redis Myths ● RediSearch + JSON ● Redis OM ● Demo: FML API Agenda
- 4. What is ?
- 5. What is Redis? ● Created by Antirez ● REmote DIctionary Server
- 6. What is Redis? ● Completely In Memory ● Key-Value Data Structure Store
- 7. What is Redis? ● Redis is Single Threaded ● Blazingly Fast NoSQL DB
- 8. ● Easy to Use ● Beloved by Developers What is Redis?
- 10. Myth 1:“Redis isn’t ACIDic”
- 11. ACID in Redis - Atomicity ● Individual Redis commands are completely atomic ● ‘Transactions’ & Scripting for grouping commands
- 12. ACID in Redis - Consistency ● Depends on deployment and config ● Single instance always consistent ● Replication guarantees eventual consistency ○ Forced consistency with “WAIT” command
- 13. ACID in Redis - Isolation ● Single Threaded ● Isolated as there’s no concurrency
- 14. Myth 2: “If Redis dies I’ll lose all my data!”
- 15. Redis IS Durable ● Two durability persistence models ● AOF - Append Only File ● RDB - Redis Database File
- 16. Durability - Append Only File (AOF) ● With each command Redis writes to AOF ● Reconstruct Redis from AOF ● AOF flush to disk is NOT necessarily synchronous
- 17. AOF FSYNC Policy ● FSYNC policy determines durability ● always - Synchronously flush ● everysec - Flush every second ● no - OS decides
- 18. Durability - Redis Database file (RDB) ● RDBs are snapshots of the database ● Taken in intervals, or by command ● More compact and faster to ingest than AOF ● Less strain on OS than AOF ● Comes at cost of higher potential data loss
- 19. Myth 3: Redis cannot store complex objects
- 20. 3 Modes of Document Storage ● Hashes ● Structured Blobs ● JSON Data Structure
- 21. Hashes ● Store a set of Field-Value pairs ● Appropriate for flat objects ● Fields Names and Values are Strings
- 22. CRUD with Hashes ● HSET (which is variadic) to create/update ● HGET/HMGET/HGETALL to get fields in the hash ● HDEL/UNLINK to delete fields/objects
- 23. HSET Article:1 Source CNN Title “Florida man …” Timestamp 1654122480 Article:1 Source CNN Title Florida man watches Spider-Man movie 292 times, setting new world record Timestamp 1654122480
- 24. Pros: ● Native ● Performant Cons: ● Breaks down on more complicated objects ● Collection storage patterns are hard
- 25. Structured Blobs ● Store objects as JSON or some other type of blob string ● Simple pattern for storing objects in Redis
- 26. CRUD with Blobs ● SET to create ● GET to read ● GET then SET to update ● UNLINK to delete
- 27. SET Article:1 “{‘source’:‘cnn’,‘Title’: ‘Florida man watches. . .’, ‘Timestamp’:1654122480}” “{‘source’:‘cnn’,‘Title’: ‘Florida man watches Spider-Man movie 292 times, setting new world record’, ‘Timestamp’:1654122480}”
- 28. Pros: ● Native ● Simple Cons: ● Updates are expensive—O(N) ● Reads are expensive—O(N)
- 29. JSON Data Structure ● Store JSON objects directly ● JSON stored as trie structure within Redis ● Get/Update using JSON paths ● Requires use of Redis Stack
- 30. CRUD with JSON Data Structure ● JSON.SET to create/update ● JSON.GET to read ● JSON.DEL to remove fields ● UNLINK to delete
- 31. JSON.SET Article:1 $ “{‘source’:‘cnn’,‘Title’: ‘Florida man watches. . .’, ‘Timestamp’:1654122480}” “{‘source’:‘cnn’,‘Title’: ‘Florida man watches Spider-Man movie 292 times, setting new world record’, ‘Timestamp’:1654122480}”
- 32. Pros: ● All operations are fast ● Organized retrieval/update of data within object ● Works great with rich objects Cons: ● Needs a module
- 33. Myth 4: Redis can’t be used for value searches.
- 34. How to Find Objects by Value in Redis ● Build Secondary Indexes ● 2 ways ○ Manually with Sets / Sorted Sets ○ Automatically with RediSearch
- 35. Indexing With Sorted Sets ● User Sorted Sets as indexes ● E.g. ○ Article:Source:Fox {(0, Article:1), (0, Article:2)} ○ Article:Timestamp {(1654122480, Article:1), (1654133475, Article:2)} ● Query with ZRANGE Commands ● Complex queries run with SET Combination commands
- 36. Indexing with RediSearch ● Three step process ● Declare how your Documents will be indexed with FT.CREATE ● Insert your Documents as either Hashes or JSON ● Query Your Documents with FT.SEARCH
- 37. Build the Index FT.CREATE ● Declare Prefix of keys within Index ● Declare Storage Type(Hash or JSON) ● Declare the Schema - five types of fields ○ TAG ○ TEXT ○ NUMERIC ○ GEO ○ VECTOR
- 38. FT.CREATE article-idx ON JSON PREFIX 1 Article: SCHEMA $.Source as source TAG
- 39. Querying Within Redis ● Use RediSearch Query Language
- 40. FT.SEARCH article-idx “@Source:{fox}” Command Name Index Query
- 41. Exact Match Queries Single - @Source:{fox} OR - @Source:{fox|cnn}
- 43. Range Queries Inclusive - @Timestamp:[1660731559 1660731559] Exclusive - @Timestamp:[(1660731559 (1660731559] upper/lower bounds - @Timestamp:[-inf +inf]
- 44. redis ōM
- 45. Redis OM Highlights ● Declarative syntax for creating indexes ● LINQ Based API for searching for things in Redis ● LINQ Based API for aggregating things in Redis
- 46. Declaring Indexes in Redis OM
- 47. [Document(StorageType = StorageType.Json)] public class Article
- 48. Declaring an Id field [RedisIdField] public Ulid Id { get; set; }
- 49. Field Decoration - Full Text Search [Searchable] public string Title { get; set; }
- 50. Field Decoration - Numerics [Indexed] public long Timestamp { get; set; }
- 51. Field Decoration - Exact Matches [Indexed] public string Source { get; set; }
- 52. Field Decoration - Embedded Objects [Indexed(CascadeDepth = 1)] public MetaData MetaData { get; set; }
- 53. Field Decoration - Embedded Objects [Indexed(JsonPath = "$.Source")] public MetaData MetaData { get; set; }
- 54. Querying with Redis OM .NET
- 55. Use the RedisCollection<T> and use LINQ
- 56. collection.Where(x => x.Title == title);
- 57. Demo
- 58. Code PaLOUsa CoC Code PaLOUsa is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, sexual orientation, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organizers.
- 60. Resources Redis https://redis.io Redis Search Docker Image https://hub.docker.com/r/redislabs/redisearch/ Redis OM https://github.com/redis/redis-om-dotnet Slides https://www.slideshare.net/StephenLorello/indexing-searching-and-aggregation- with-redi-search-and-net
- 61. Come Check Us Out! Redis University: https://university.redis.com Discord: https://discord.gg/redis