⚡ Bolt: 작업 지표 집계 성능 개선 (Float64Array 및 For Loop 활용)

.jules/bolt.md

@@ -4,3 +4,6 @@
 ## 2026-07-12 - Optimize renderTaskRow DOM allocations
 **Learning:** Caching unattached template nodes and instantiating them via `.cloneNode(false)` reduces DOM instantiation overhead in O(N) render loops significantly.
 **Action:** Apply this optimization to other hot-path rendering elements such as rows, cells, and stack containers.
+## 2026-08-31 - [High-performance metric aggregation]
+**Learning:** For high-performance O(N) loops in JavaScript, replacing `Array.prototype.reduce`/`forEach` and `Map` caching with standard `for` loops and typed arrays (`Float64Array`) eliminates JS engine callback allocation, garbage collection, and hash-lookup overhead. This allows for faster metric computations, specifically when iterating over large datasets in hot code paths.
+**Action:** Use typed arrays over Maps for O(N) primitive storage caches when iteration indices map directly to indices, and use `for` loops instead of functional iteration methods for critical hot paths.

app.js

@@ -1370,21 +1370,25 @@ function validateDateRange(startLabel, startValue, endLabel, endValue, errors) {
 }
 
 function computeTaskMetrics() {
-  // ⚡ Bolt: Cache durationDays during total calculation to avoid recalculating for every task
-  const durationCache = new Map();
-  const totalDays = state.tasks.reduce((sum, task) => {
+  // ⚡ Bolt: Replace Map and array methods with Float64Array and for-loops to reduce GC overhead
+  const durationCache = new Float64Array(state.tasks.length);
+  let totalDays = 0;
+
+  for (let i = 0; i < state.tasks.length; i++) {
+    const task = state.tasks[i];
     const duration = calculateDurationDays(task.plannedStartDate, task.plannedEndDate);
-    durationCache.set(task.id, duration);
-    return sum + duration;
-  }, 0);
+    durationCache[i] = duration;
+    totalDays += duration;
+  }
 
   const baseDate = state.baseDate;
   const byTask = new Map();
   let totalWeightedPlannedRatio = 0;
   let totalWeightedActualRatio = 0;
 
-  state.tasks.forEach((task) => {
-    const durationDays = durationCache.get(task.id);
+  for (let i = 0; i < state.tasks.length; i++) {
+    const task = state.tasks[i];
+    const durationDays = durationCache[i];
     const weightRatio = totalDays > 0 ? durationDays / totalDays : 0;
     const plannedProgressRatio = calculatePlannedProgressRatio(baseDate, task.plannedStartDate, task.plannedEndDate, durationDays);
     const actualProgressRatio = (ACTUAL_PROGRESS_MAP[task.actualProgressStatus] || 0) / 100;
@@ -1408,7 +1412,7 @@ function computeTaskMetrics() {
       plannedDateWarning,
       actualDateWarning
     });
-  });
+  }
 
   return {
     totalDays,