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Features

Intro​

The foundation of this library is built upon the best practices recommended by Roblox, as listed here:

Sharding​

https://en.wikipedia.org/wiki/Shard_(database_architecture)

Leaderboard uses a custom sharding solution for MemoryStoreService to reduce the risk of hitting the size limits for a single Memory Map. This is done by splitting the data into multiple Memory Maps, and then using a custom hashing algorithm to determine which Memory Map to use for a given key.

Exponential Backoff​

https://en.wikipedia.org/wiki/Exponential_backoff

Leaderboard uses an exponential backoff algorithm to reduce the risk of hitting rate limits. This is done by waiting a certain amount of time before retrying a request, and then increasing the wait time exponentially for each retry.

Other​

  • Abstract API for easy integration into your existing codebase
  • Customizable leaderboard settings
  • Leaderboard types: Hourly, Daily, Weekly, Monthly, All-Time and Yearly
  • A special Leaderboard type for Rolling Leaderboards which automatically reset at a given interval
  • Full type support