385 lines
11 KiB
Markdown
385 lines
11 KiB
Markdown
# SpaceTime Tools for .NET/C# Developers
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Adaptations of the SpaceTime optimization tools specifically for the .NET ecosystem, leveraging C# language features and .NET runtime capabilities.
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## Most Valuable Tools for .NET
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### 1. Memory-Aware LINQ Extensions**
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Transform LINQ queries to use √n memory strategies:
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```csharp
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// Standard LINQ (loads all data)
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var results = dbContext.Orders
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.Where(o => o.Date > cutoff)
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.OrderBy(o => o.Total)
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.ToList();
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// SpaceTime LINQ (√n memory)
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var results = dbContext.Orders
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.Where(o => o.Date > cutoff)
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.OrderByExternal(o => o.Total, bufferSize: SqrtN(count))
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.ToCheckpointedList();
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```
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### 2. Checkpointing Attributes & Middleware**
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Automatic checkpointing for long-running operations:
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```csharp
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[SpaceTimeCheckpoint(Strategy = CheckpointStrategy.SqrtN)]
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public async Task<ProcessResult> ProcessLargeDataset(string[] files)
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{
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var results = new List<Result>();
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foreach (var file in files)
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{
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// Automatically checkpoints every √n iterations
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var processed = await ProcessFile(file);
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results.Add(processed);
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}
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return new ProcessResult(results);
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}
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```
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### 3. Entity Framework Core Memory Optimizer**
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Optimize EF Core queries and change tracking:
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```csharp
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public class SpaceTimeDbContext : DbContext
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{
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protected override void OnConfiguring(DbContextOptionsBuilder options)
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{
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options.UseSpaceTimeOptimizer(config =>
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{
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config.EnableSqrtNChangeTracking();
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config.SetBufferPoolSize(MemoryStrategy.SqrtN);
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config.EnableQueryCheckpointing();
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});
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}
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}
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```
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### 4. Memory-Efficient Collections**
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.NET collections with automatic memory/speed tradeoffs:
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```csharp
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// Automatically switches between List, SortedSet, and external storage
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var adaptiveList = new AdaptiveList<Order>();
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// Uses √n in-memory cache for large dictionaries
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var cache = new SqrtNCacheDictionary<string, Customer>(
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maxItems: 1_000_000,
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onDiskPath: "cache.db"
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);
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// Memory-mapped collection for huge datasets
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var hugeList = new MemoryMappedList<Transaction>("transactions.dat");
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```
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### 5. ML.NET Memory Optimizer**
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Optimize ML.NET training pipelines:
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```csharp
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var pipeline = mlContext.Transforms
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.Text.FeaturizeText("Features", "Text")
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.Append(mlContext.BinaryClassification.Trainers
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.SdcaLogisticRegression()
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.WithSpaceTimeOptimization(opt =>
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{
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opt.EnableGradientCheckpointing();
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opt.SetBatchSize(BatchStrategy.SqrtN);
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opt.UseStreamingData();
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}));
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```
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### 6. ASP.NET Core Response Streaming**
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Optimize large API responses:
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```csharp
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[HttpGet("large-dataset")]
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[SpaceTimeStreaming(ChunkSize = ChunkStrategy.SqrtN)]
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public async IAsyncEnumerable<DataItem> GetLargeDataset()
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{
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await foreach (var item in repository.GetAllAsync())
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{
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// Automatically chunks response using √n sizing
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yield return item;
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}
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}
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```
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### 7. Roslyn Analyzer & Code Fix Provider**
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Compile-time optimization suggestions:
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```csharp
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// Analyzer detects:
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// Warning ST001: Large list allocation detected. Consider using streaming.
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var allCustomers = await GetAllCustomers().ToListAsync();
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// Quick fix generates:
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await foreach (var customer in GetAllCustomers())
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{
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// Process streaming
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}
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```
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### 8. Performance Profiler Integration**
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Visual Studio and JetBrains Rider plugins:
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- Identifies memory allocation hotspots
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- Suggests √n optimizations
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- Shows real-time memory vs. speed tradeoffs
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- Integrates with BenchmarkDotNet
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### 9. Parallel PLINQ Extensions**
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Memory-aware parallel processing:
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```csharp
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var results = source
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.AsParallel()
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.WithSpaceTimeDegreeOfParallelism() // Automatically determines based on √n
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.WithMemoryLimit(100_000_000) // 100MB limit
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.Select(item => ExpensiveTransform(item))
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.ToArray();
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```
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### 10. Azure Functions Memory Optimizer**
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Optimize serverless workloads:
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```csharp
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[FunctionName("ProcessBlob")]
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[SpaceTimeOptimized(
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MemoryStrategy = MemoryStrategy.SqrtN,
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CheckpointStorage = "checkpoints"
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)]
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public static async Task ProcessLargeBlob(
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[BlobTrigger("inputs/{name}")] Stream blob,
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[Blob("outputs/{name}")] Stream output)
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{
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// Automatically processes in √n chunks
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// Checkpoints to Azure Storage for fault tolerance
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}
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```
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## Why These Tools Matter for .NET
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### 1. **Garbage Collection Pressure**
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.NET's GC can cause pauses with large heaps. √n strategies reduce heap size:
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```csharp
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// Instead of loading 1GB into memory (Gen2 GC pressure)
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var allData = File.ReadAllLines("huge.csv"); // ❌
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// Process with √n memory (stays in Gen0/Gen1)
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foreach (var batch in File.ReadLines("huge.csv").Batch(SqrtN)) // ✅
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{
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ProcessBatch(batch);
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}
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```
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### 2. **Cloud Cost Optimization**
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Azure charges by memory usage:
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```csharp
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// Standard approach: Need 8GB RAM tier ($$$)
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var sorted = data.OrderBy(x => x.Id).ToList();
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// √n approach: Works with 256MB RAM tier ($)
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var sorted = data.OrderByExternal(x => x.Id, bufferSize: SqrtN);
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```
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### 3. **Real-Time System Compatibility**
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Predictable memory usage for real-time systems:
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```csharp
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[ReliabilityContract(Consistency.WillNotCorruptState, Cer.Success)]
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public void ProcessRealTimeData(Span<byte> data)
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{
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// Fixed √n memory allocation, no GC during processing
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using var buffer = MemoryPool<byte>.Shared.Rent(SqrtN(data.Length));
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ProcessWithFixedMemory(data, buffer.Memory);
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}
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```
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## Implementation Examples
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### Memory-Aware LINQ Implementation
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```csharp
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public static class SpaceTimeLinqExtensions
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{
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public static IOrderedEnumerable<T> OrderByExternal<T, TKey>(
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this IEnumerable<T> source,
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Func<T, TKey> keySelector,
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int? bufferSize = null)
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{
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var count = source.Count();
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var optimalBuffer = bufferSize ?? (int)Math.Sqrt(count);
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// Use external merge sort with √n memory
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return new ExternalOrderedEnumerable<T, TKey>(
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source, keySelector, optimalBuffer);
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}
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public static async IAsyncEnumerable<List<T>> BatchBySqrtN<T>(
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this IAsyncEnumerable<T> source,
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int totalCount)
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{
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var batchSize = (int)Math.Sqrt(totalCount);
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var batch = new List<T>(batchSize);
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await foreach (var item in source)
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{
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batch.Add(item);
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if (batch.Count >= batchSize)
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{
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yield return batch;
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batch = new List<T>(batchSize);
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}
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}
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if (batch.Count > 0)
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yield return batch;
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}
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}
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```
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### Checkpointing Middleware
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```csharp
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public class CheckpointMiddleware
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{
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private readonly RequestDelegate _next;
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private readonly ICheckpointService _checkpointService;
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public async Task InvokeAsync(HttpContext context)
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{
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if (context.Request.Path.StartsWithSegments("/api/large-operation"))
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{
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var checkpointId = context.Request.Headers["X-Checkpoint-Id"];
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if (!string.IsNullOrEmpty(checkpointId))
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{
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// Resume from checkpoint
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var state = await _checkpointService.RestoreAsync(checkpointId);
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context.Items["CheckpointState"] = state;
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}
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// Enable √n checkpointing for this request
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using var checkpointing = _checkpointService.BeginCheckpointing(
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interval: CheckpointInterval.SqrtN);
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await _next(context);
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}
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else
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{
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await _next(context);
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}
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}
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}
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```
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### Roslyn Analyzer Example
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```csharp
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[DiagnosticAnalyzer(LanguageNames.CSharp)]
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public class LargeAllocationAnalyzer : DiagnosticAnalyzer
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{
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public override void Initialize(AnalysisContext context)
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{
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context.RegisterSyntaxNodeAction(
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AnalyzeInvocation,
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SyntaxKind.InvocationExpression);
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}
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private void AnalyzeInvocation(SyntaxNodeAnalysisContext context)
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{
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var invocation = (InvocationExpressionSyntax)context.Node;
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var symbol = context.SemanticModel.GetSymbolInfo(invocation).Symbol;
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if (symbol?.Name == "ToList" || symbol?.Name == "ToArray")
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{
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// Check if operating on large dataset
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if (IsLargeDataset(invocation, context))
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{
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context.ReportDiagnostic(Diagnostic.Create(
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LargeAllocationRule,
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invocation.GetLocation(),
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"Consider using streaming or √n buffering"));
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}
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}
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}
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}
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```
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## Getting Started
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### NuGet Packages
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```xml
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<PackageReference Include="SqrtSpace.SpaceTime.Core" Version="1.0.0" />
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<PackageReference Include="SqrtSpace.SpaceTime.Linq" Version="1.0.0" />
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<PackageReference Include="SqrtSpace.SpaceTime.Collections" Version="1.0.0" />
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<PackageReference Include="SqrtSpace.SpaceTime.EntityFramework" Version="1.0.0" />
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<PackageReference Include="SqrtSpace.SpaceTime.AspNetCore" Version="1.0.0" />
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```
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### Basic Usage
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```csharp
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using SqrtSpace.SpaceTime;
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// Enable globally
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SpaceTimeConfig.SetDefaultStrategy(MemoryStrategy.SqrtN);
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// Or configure per-component
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services.AddSpaceTimeOptimization(options =>
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{
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options.EnableCheckpointing = true;
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options.MemoryLimit = 100_000_000; // 100MB
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options.DefaultBufferStrategy = BufferStrategy.SqrtN;
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});
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```
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## Benchmarks on .NET
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Performance comparisons on .NET 8:
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| Operation | Standard | SpaceTime | Memory Reduction | Time Overhead |
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|-----------|----------|-----------|------------------|---------------|
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| Sort 10M items | 80MB, 1.2s | 2.5MB, 1.8s | 97% | 50% |
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| LINQ GroupBy | 120MB, 0.8s | 3.5MB, 1.1s | 97% | 38% |
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| EF Core Query | 200MB, 2.1s | 14MB, 2.4s | 93% | 14% |
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| JSON Serialization | 45MB, 0.5s | 1.4MB, 0.6s | 97% | 20% |
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## Integration with Existing .NET Tools
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- **BenchmarkDotNet**: Custom memory diagnosers
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- **Application Insights**: SpaceTime metrics tracking
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- **Azure Monitor**: Memory optimization alerts
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- **Visual Studio Profiler**: SpaceTime views
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- **dotMemory**: √n allocation analysis
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## Future Roadmap
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1. **Source Generators** for compile-time optimization
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2. **Span<T> and Memory<T>** optimizations
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3. **IAsyncEnumerable** checkpointing
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4. **Orleans** grain memory optimization
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5. **Blazor** component streaming
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6. **MAUI** mobile memory management
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7. **Unity** game engine integration
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## Contributing
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We welcome contributions from the .NET community! Areas of focus:
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- Implementation of core algorithms in C#
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- Integration with popular .NET libraries
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- Performance benchmarks
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- Documentation and examples
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- Visual Studio extensions
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## License
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Apache 2.0 - Same as the main SqrtSpace Tools project |