← Back to list

koan-performance
by sylin-org
⭐ 2🍴 1📅 Nov 14, 2025
SKILL.md
name: koan-performance description: Streaming, pagination, count strategies, bulk operations
Koan Performance
Core Principle
Optimize for scale from day one. Use streaming for large datasets, batch operations for bulk changes, fast counts for UI, and pagination for web APIs.
Performance Patterns
Streaming (Large Datasets)
// ❌ WRONG: Load everything into memory
var allTodos = await Todo.All(); // 1 million records!
// ✅ CORRECT: Stream in batches
await foreach (var todo in Todo.AllStream(batchSize: 1000))
{
await ProcessTodo(todo);
}
Count Strategies
// Fast count (metadata estimate - 1000x+ faster)
var fast = await Todo.Count.Fast(ct); // ~5ms for 10M rows
// Exact count (guaranteed accuracy)
var exact = await Todo.Count.Exact(ct); // ~25s for 10M rows
// Optimized (framework chooses)
var optimized = await Todo.Count; // Uses Fast if available
Use Fast for: Pagination UI, dashboards, estimates Use Exact for: Critical business logic, reports, inventory
Bulk Operations
// Bulk create
var todos = Enumerable.Range(1, 1000)
.Select(i => new Todo { Title = $"Task {i}" })
.ToList();
await todos.Save(); // Single operation
// Bulk removal
await Todo.RemoveAll(RemoveStrategy.Fast); // TRUNCATE/DROP (225x faster)
Batch Retrieval
// ❌ WRONG: N queries
foreach (var id in ids)
{
var todo = await Todo.Get(id);
}
// ✅ CORRECT: 1 query
var todos = await Todo.Get(ids);
Pagination
public async Task<IActionResult> GetTodos(
int page = 1,
int pageSize = 20,
CancellationToken ct = default)
{
var result = await Todo.QueryWithCount(
t => !t.Completed,
new DataQueryOptions { OrderBy = nameof(Todo.Created), Descending = true },
ct);
Response.Headers["X-Total-Count"] = result.TotalCount.ToString();
return Ok(result.Items);
}
Performance Benchmarks
| Operation | Inefficient | Efficient | Speedup |
|---|---|---|---|
| Bulk Remove (1M) | DELETE loop ~45s | TRUNCATE ~200ms | 225x |
| Count (10M) | Full scan ~25s | Metadata ~5ms | 5000x |
| Batch Get (100) | 100 queries | 1 query | 100x |
| Stream (1M) | Load all (OOM) | Stream batches | Memory safe |
When This Skill Applies
- ✅ Performance tuning
- ✅ Large datasets
- ✅ Optimization
- ✅ Production readiness
- ✅ Memory issues
- ✅ Query optimization
Reference Documentation
- Example Code:
.claude/skills/entity-first/examples/batch-operations.cs - Guide:
docs/guides/performance.md - Sample:
samples/S14.AdapterBench/(Performance benchmarks)
Score
Total Score
60/100
Based on repository quality metrics
✓SKILL.md
SKILL.mdファイルが含まれている
+20
✓LICENSE
ライセンスが設定されている
+10
○説明文
100文字以上の説明がある
0/10
○人気
GitHub Stars 100以上
0/15
○最近の活動
3ヶ月以内に更新がある
0/10
○フォーク
10回以上フォークされている
0/5
✓Issue管理
オープンIssueが50未満
+5
✓言語
プログラミング言語が設定されている
+5
○タグ
1つ以上のタグが設定されている
0/5
Reviews
💬
Reviews coming soon