Redis Ordered Sets (ZSet) are implemented through hash tables and jump tables. The hash table stores elements and score mappings. The jump table sorts elements by score and maintains quick navigation pointers. It supports a variety of operations, including adding, deleting, updating scores, finding elements and getting rankings. The advantages include quick sorting and search operations, supporting multi-score sorting and efficient memory management.
Implementation of Redis Ordered Collections
Redis Ordered Sets (ZSet) are implemented by a hash table and a jump table.
Hash table
Hash tables are used to store elements and their scores (weights).
Jump table
A jump table is a probabilistic data structure that is similar to a linked list, but contains jump pointers to nodes at different levels. Jump tables are used for:
- Sort elements by fraction.
- Quickly find elements with specified scores.
- Insert or delete elements in O(logN) time.
How to store data
Each ordered collection element is stored in the hash table and the jump table:
- Hash table: stores the mapping of elements and fractions.
- Jump table: Store elements in nodes sorted by scores and maintain jump pointers for quick navigation.
operate
Redis Ordered Collections support various operations, including:
- Add elements: Add elements and their fractions to an ordered set.
- Delete Element: Removes the specified element from the ordered collection.
- Update score: Update the score of an existing element.
- Find elements: Find elements by fraction or get elements within a specified range.
- Get Ranking: Gets the ranking of a specific element in an ordered set.
Advantages
Advantages of Redis Ordered Collections include:
- Quick sort and lookup operations (O(logN)).
- Supports sorting elements by multiple scores.
- Use jump tables for efficient memory management.
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