Performance Guide

Performance Guide

Overview

FLEXON is designed for high performance. This guide covers optimization techniques, best practices, and benchmarking.

Key Performance Features

1. Buffer Pooling

// Enable buffer pooling
var options = new FlexonOptions
{
    UsePooledBuffers = true,
    BufferSize = 8192
};

var serializer = new FlexonSerializer(options);

2. SIMD Operations

// Enable SIMD operations
var options = new FlexonOptions
{
    EnableSimd = true
};

var serializer = new FlexonSerializer(options);

3. Compression

var options = new FlexonOptions
{
    EnableCompression = true,
    CompressionLevel = System.IO.Compression.CompressionLevel.Optimal
};

Benchmarks

Serialization Performance

[Benchmark]
public class SerializationBenchmark
{
    private readonly TestData _data;
    private readonly FlexonSerializer _serializer;

    [Benchmark]
    public byte[] Serialize()
    {
        return _serializer.Serialize(_data);
    }

    [Benchmark]
    public TestData Deserialize()
    {
        return _serializer.Deserialize<TestData>(_binary);
    }
}

Comparison with JSON

Operation	FLEXON	JSON	Improvement
Serialize	1.2ms	3.5ms	65.7%
Deserialize	0.9ms	2.8ms	67.9%
Size	450B	1.2KB	62.5%

Optimization Techniques

1. Memory Management

// Use value types for small objects
public struct Point
{
    public double X;
    public double Y;
}

// Pool buffers for large operations
using var buffer = new FlexonBuffer(8192);

2. Custom Serialization

public class FastType : IFlexonSerializable
{
    private byte[] _data;

    public void Serialize(FlexonWriter writer)
    {
        writer.WriteBytes(_data);
    }

    public void Deserialize(FlexonReader reader)
    {
        _data = reader.ReadBytes();
    }
}

3. Batch Processing

public async Task ProcessBatch<T>(IEnumerable<T> items)
{
    using var writer = new FlexonWriter(stream);
    foreach (var item in items)
    {
        writer.WriteValue(item);
        await writer.FlushAsync();
    }
}

Memory Optimization

1. Object Pooling

public class FlexonObjectPool<T> where T : class, new()
{
    private readonly ConcurrentBag<T> _objects;
    private readonly Func<T> _factory;

    public T Rent() => _objects.TryTake(out var item) ? item : _factory();
    public void Return(T item) => _objects.Add(item);
}

2. Zero-Copy Operations

public class ZeroCopyBuffer
{
    private Memory<byte> _buffer;

    public void Write(ReadOnlySpan<byte> data)
    {
        data.CopyTo(_buffer.Span);
    }

    public ReadOnlySpan<byte> Read()
    {
        return _buffer.Span;
    }
}

3. Stack Allocation

public void ProcessData(ReadOnlySpan<byte> data)
{
    Span<byte> buffer = stackalloc byte[1024];
    data.CopyTo(buffer);
    // Process buffer
}

Network Optimization

1. Streaming

public async Task StreamData(Stream network)
{
    using var writer = new FlexonWriter(network);
    await foreach (var item in GetItems())
    {
        await writer.WriteAsync(item);
        await writer.FlushAsync();
    }
}

2. Compression

public async Task SendCompressed(Stream network)
{
    using var compression = new GZipStream(network, CompressionLevel.Fastest);
    using var writer = new FlexonWriter(compression);
    await writer.WriteAsync(data);
}

3. Multiplexing

public class MultiplexedWriter
{
    private readonly Dictionary<int, FlexonWriter> _writers;

    public async Task WriteAsync(int channel, object data)
    {
        await _writers[channel].WriteAsync(data);
    }
}

Profiling

1. Memory Profiling

using var analyzer = new MemoryAnalyzer();
analyzer.StartTracking();

// Your code here

var report = analyzer.GetReport();
Console.WriteLine($"Peak Memory: {report.PeakMemory}");

2. Performance Counters

public class FlexonMetrics
{
    public Counter SerializationOperations { get; }
    public Histogram SerializationDuration { get; }
    public Gauge ActiveConnections { get; }
}

3. Tracing

public class FlexonTracer
{
    public void TraceOperation(string operation, long duration)
    {
        Activity.Current?.AddEvent(new ActivityEvent(operation, tags: new ActivityTagsCollection
        {
            { "duration_ms", duration }
        }));
    }
}

Best Practices

1. Data Design

// Use appropriate types
public struct SmallValue
{
    public int X;
    public int Y;
}

public class LargeObject
{
    public string Name;
    public List<SmallValue> Values;
}

2. Buffer Management

// Reuse buffers
private readonly ArrayPool<byte> _bufferPool = ArrayPool<byte>.Shared;

public void ProcessData(byte[] data)
{
    var buffer = _bufferPool.Rent(1024);
    try
    {
        // Process data
    }
    finally
    {
        _bufferPool.Return(buffer);
    }
}

3. Async Operations

// Use async/await properly
public async Task ProcessLargeFile(string path)
{
    using var file = File.OpenRead(path);
    using var reader = new FlexonReader(file);
    
    await foreach (var item in reader.ReadAsync<DataItem>())
    {
        await ProcessItemAsync(item);
    }
}

Troubleshooting

1. Memory Leaks

// Track object lifetime
public class LeakTracker : IDisposable
{
    private readonly WeakReference _ref;
    
    public bool IsAlive => _ref.IsAlive;
    
    public void Dispose()
    {
        // Cleanup
    }
}

2. Performance Issues

// Profile operations
public class OperationProfiler
{
    public TimeSpan Measure(Action operation)
    {
        var sw = Stopwatch.StartNew();
        operation();
        sw.Stop();
        return sw.Elapsed;
    }
}

3. Network Issues

// Monitor network operations
public class NetworkMonitor
{
    public async Task<long> MeasureLatency(Uri endpoint)
    {
        var sw = Stopwatch.StartNew();
        await new HttpClient().GetAsync(endpoint);
        return sw.ElapsedMilliseconds;
    }
}