Introduction to Redis Data Structures: Sets
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The document provides an introduction to Redis data structures, focusing specifically on sets, which are unordered collections of strings that support fast operations like addition and membership checks. Redis sets are ideal for tracking unique items and managing relationships through operations like union and intersection, while also detailing their internal implementation and commands. It highlights the performance benefits of Redis in-memory storage, emphasizing the efficiency and speed of set operations.
Introduction to Redis Data Structures: Sets
- 1. Sets Introduction to Redis Data Structures:
- 2. What is Redis? Open Source, NoSQL Database Used by: Twitter, Pinterest, GitHub Stores Advanced Data Structures Client Support: Java, C, Node.js etc Introduction to Redis Data Structures: Sets
- 3. What are Redis Sets? Unordered collection of Strings Provides constant time addition, removal and membership checks Supports reasonably fast union, intersection, subtraction operations between sets Does not allow repeated values Introduction to Redis Data Structures: Sets
- 4. Common Use Cases for Sets Used to track unique items Can be used to denote as “belongs to” or similar relationship Sets can only be used to combine relationships, i.e. union/intersection/subtraction of sets Introduction to Redis Data Structures: Sets
- 5. Set Operations in Redis SADD SMEMBERS SCARD SMOVES SDIFF SPOP SINTER SUNION The complete list of set related Redis commands can be found here. Introduction to Redis Data Structures: Sets
- 6. Internal Implementation Redis internally stores Sets as dictionaries Certain small sets (radix 10 in the range # of 64 bit signed integers) called IntSets Searches within the array are performed through binary search Introduction to Redis Data Structures: Sets
- 7. Redis Sets vs Redis Bitmaps Sets are easier to manage, program & debug Work well for most apps Small to medium size data structures > 232 Bits Domain SizeIntroduction to Redis Data Structures: Sets Bitmaps are suitable over a large number of keys Depends on size & performance of keys
- 8. Summary The in-memory store will lead to really fast access so that the front-end feels snappy Redis set operations are either constant time or linear Great for creating sets for other things you may wish to expose as filters in your Visual Profiler like tags, price ranges, etc Introduction to Redis Data Structures: Sets
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