PriceData Map-Based Storage

Performance optimization converting PriceData from plain objects to Map.

Benchmark Results (26 entries - asset prices)

Operation	Object	Map	Speedup
Creation	7.25μs	2.02μs	3.6x
Iteration	1.05μs	0.075μs	14x
Merge	8.75μs	1.89μs	4.6x
Has-check	0.89μs	0.20μs	4.4x

For cache size checks (30k entries):

• Object.keys().length: 5.4s (O(n))
• Map.size: 0.022ms (O(1))
• 245,000x speedup

Type Definitions

// Internal storage (fast)
type PriceData = Map<SymbolIdentifiers, number>;

// JSON serialization (RPC boundaries)
type PriceDataObject = { [ticker in SymbolIdentifiers]?: number };

Helper Functions

import {
  createPriceData,     // Create empty Map
  priceDataFromObject, // Object → Map
  priceDataToObject,   // Map → Object (RPC)
  mergePriceData,      // Merge multiple Maps
  clonePriceData,      // Clone a Map
} from "@/constants/price-data";

Usage Patterns

// Internal: Use Map methods
const prices = createPriceData();
prices.set(SymbolIdentifiers.BTCUSD, 50000);
const btcPrice = prices.get(SymbolIdentifiers.BTCUSD);
const hasETH = prices.has(SymbolIdentifiers.ETHUSD);
const count = prices.size;  // O(1)!

// RPC: Convert at boundaries
return priceDataToObject(prices);

Architecture

Internal Storage       RPC Boundary          External
──────────────────────────────────────────────────────
Map<Symbol, number> → priceDataToObject() → JSON
                    ← priceDataFromObject() ←

• Internal: Map for performance
• RPC returns: Plain objects (JSON-serializable)
• Conversion: Only at boundaries, minimal overhead