Overview
This feature aims to implement an efficient storage system for maintaining historical data on completed pools. The system should balance gas optimization with data accessibility, providing essential information for user statistics and platform analytics on FlipNet.
Requirements
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Data Structure Design:
- Design optimal data structures tailored for storing historical pool data with an emphasis on gas efficiency.
- Ensure the data structure retains essential historical information for each completed pool to support analytics and user statistics.
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Retrieval Functions:
- Implement functions to retrieve historical pools using various filters such as time range, outcome, and participation level.
- Optimize retrieval processes to keep gas costs low without sacrificing data accessibility.
Technical Considerations
- Focus on gas cost optimization while ensuring that the stored data remains accessible and meaningful for analytical purposes.
- Consider potential trade-offs between data redundancy and retrieval speed.
- Ensure compatibility with the existing infrastructure of FlipNet as referenced in the readme
Definition of Done
- A new data structure is implemented to store historical pool data efficiently.
- Retrieval functions by time range, outcome, and participation levels are developed and tested.
- The solution is validated to ensure both gas cost efficiency and data accessibility.
- The implementation is in line with the existing FlipNet design principles.
Happy coding! 🚀
Overview
This feature aims to implement an efficient storage system for maintaining historical data on completed pools. The system should balance gas optimization with data accessibility, providing essential information for user statistics and platform analytics on FlipNet.
Requirements
Data Structure Design:
Retrieval Functions:
Technical Considerations
Definition of Done
Happy coding! 🚀