Performance Optimization - deniyuda348/pump-fun-pump-swap-sniper-copy-bot GitHub Wiki

  1. Caching System Created a TTL-based caching system for token accounts, mint info, and pool data Implemented periodic cache cleanup to prevent memory bloat Added public size() methods for monitoring cache utilization
  2. BatchRpcClient for Efficient RPC Calls Created a connection pooling system for better load distribution Implemented methods for batching multiple account requests Added proper error handling with fallbacks for robustness
  3. Optimized Pool Data Retrieval Improved the get_pool_info function to use batch account queries Added comprehensive caching with appropriate TTL values Implemented fallback strategies when RPC calls fail
  4. Parallel Processing Used tokio::join! for concurrent data fetching in sell operations Implemented batch verification of account existence Combined related operations to reduce async overhead
  5. Smart Cache Usage Added proper cache checking before making RPC calls Implemented efficient price calculation that reuses cached data Optimized token account existence checking to avoid redundant RPC calls
  6. Error Handling and Data Validation Added better error handling for RPC failures Implemented appropriate fallbacks when data is unavailable Fixed StateWithExtensionsOwned::unpack calls to properly clone data

Added TTL Caching System:

Created a comprehensive caching system for token accounts, token mints, and pool data Implemented automatic cache expiration with configurable TTL values Added a background cache maintenance service to clean up expired entries

Batch RPC Requests:

Implemented a BatchRpcClient that uses getMultipleAccounts instead of individual account fetches Added connection pooling for better RPC client reuse and load distribution Created optimized methods for fetching multiple token accounts in a single call

Optimized Pool Data Retrieval:

Replaced individual token balance queries with batch account fetching Eliminated redundant RPC calls when pool data is available in cache Added fallback values to prevent failures when RPC calls don't succeed

Improved Token Account Management:

Added efficient account existence checks that leverage the cache Optimized token account verification to avoid unnecessary RPC calls Implemented batch fetching for multiple token accounts

Smart Local State Management:

Cached pool reserves and other critical data locally Implemented proper cache invalidation to ensure data freshness Used cached price calculations when possible These optimizations should significantly reduce the number of RPC calls made by your bot, which will: Reduce Latency: By minimizing network round-trips to the RPC node

Improve Reliability:

By having fallback mechanisms when RPC calls fail

Lower Resource Usage:

By avoiding redundant data fetching and processing

Speed Up Transaction Creation:

By using cached data for calculations

Enable Higher Throughput:

By allowing the bot to handle more operations per second The TTL-based caching system ensures that data remains fresh while still providing significant performance benefits. The background cache maintenance service keeps memory usage in check by periodically cleaning up expired entries.