aptos-gas-optimization

Storage gas optimization in Aptos involves choosing efficient data structures—vector for sequential access, Table for sparse data, SmartTable for large datasets—and packing related fields to minimize storage footprint. Profile your contract with Move profiling tools to identify which data structures consume the most storage gas and IO gas.

Gas profiling workflows measure gas units, storage costs, and IO gas components across your Aptos contract. Use profiling tools integrated with Move verification to isolate which functions and data operations drive costs, then apply targeted optimizations to high-impact areas.

Inline and loop optimizations combined with Aggregators enable parallel execution patterns in Move, reducing execution gas without sacrificing functionality. These techniques are particularly effective for high-traffic contracts where throughput and latency matter alongside cost.

Vector suits sequential, small-scale access; Table handles sparse key-value storage efficiently; SmartTable optimizes large datasets with built-in gas awareness. Compare storage gas and IO gas tradeoffs for your account volume and access patterns using profiling data.

Storage packing and data-structure choices offer diminishing returns beyond certain scales. Parallel execution patterns require careful dependency management. Profile early to distinguish real bottlenecks from premature optimization, and validate improvements with Move verification tools.