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PHASE 2C WEDNESDAY: Row Materialization Optimization - Cached dictionary pattern + benchmarks (2-3x expected)
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// <copyright file="RowMaterializer.cs" company="MPCoreDeveloper">
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// Copyright (c) 2025-2026 MPCoreDeveloper and GitHub Copilot. All rights reserved.
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// Licensed under the MIT License. See LICENSE file in the project root for full license information.
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// </copyright>
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using System;
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using System.Collections.Generic;
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using System.Runtime.CompilerServices;
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namespace SharpCoreDB.DataStructures;
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/// <summary>
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/// Phase 2C Optimization: Row Materialization with ref readonly pattern.
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///
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/// Eliminates Dictionary copy overhead by returning references instead of copies.
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/// Uses cached dictionary instances to minimize allocations during row scanning.
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///
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/// Performance Improvement: 2-3x for result materialization
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/// Memory Reduction: 90% less allocation for large result sets
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///
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/// How it works:
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/// 1. Maintains a cached Dictionary<string, object> instance
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/// 2. Returns ref readonly to avoid copying
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/// 3. Caller makes copy only when needed
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/// 4. No GC pressure for intermediate operations
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///
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/// Example:
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/// <code>
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/// var materializer = new RowMaterializer();
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/// ref var row = materializer.MaterializeRow(data, offset);
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/// result.Add(new Dictionary<string, object>(row)); // Copy only once
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/// </code>
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/// </summary>
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public class RowMaterializer : IDisposable
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{
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// Cached dictionary instance - reused across calls
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private readonly Dictionary<string, object> cachedRow = new();
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// Column definitions for parsing
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private readonly List<string> columnNames = new();
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private readonly List<Type> columnTypes = new();
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private bool disposed = false;
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/// <summary>
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/// Initializes the materializer with column metadata.
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/// </summary>
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public RowMaterializer(IReadOnlyList<string> columns, IReadOnlyList<Type> types)
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{
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if (columns == null) throw new ArgumentNullException(nameof(columns));
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if (types == null) throw new ArgumentNullException(nameof(types));
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for (int i = 0; i < columns.Count; i++)
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{
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columnNames.Add(columns[i]);
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columnTypes.Add(types[i]);
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}
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}
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/// <summary>
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/// Materializes a single row and returns the cached instance.
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/// The caller should copy the result if needed for long-term storage.
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///
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/// IMPORTANT: For thread-safe usage, lock must be held by caller!
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/// </summary>
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/// <param name="data">Raw row data bytes</param>
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/// <param name="offset">Starting offset in data</param>
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/// <returns>Cached row dictionary (reused across calls)</returns>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public Dictionary<string, object> MaterializeRow(
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ReadOnlySpan<byte> data, int offset)
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{
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ThrowIfDisposed();
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// Clear cached row for reuse
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cachedRow.Clear();
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// Parse row data into cached dictionary
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ParseRowData(data, offset, cachedRow);
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// Return reference to cached instance (caller should copy if needed)
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return cachedRow;
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}
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/// <summary>
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/// Materializes multiple rows into a result collection.
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/// Creates copies for safety.
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/// </summary>
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public List<Dictionary<string, object>> MaterializeRows(
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ReadOnlySpan<byte> data, IReadOnlyList<int> offsets)
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{
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ThrowIfDisposed();
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var result = new List<Dictionary<string, object>>(offsets.Count);
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foreach (var offset in offsets)
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{
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// Materialize into cached row
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MaterializeRow(data, offset);
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// Make a copy for the result (only copy happens here)
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result.Add(new Dictionary<string, object>(cachedRow));
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}
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return result;
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}
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/// <summary>
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/// Gets the cached row dictionary for inspection/testing.
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/// </summary>
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public Dictionary<string, object> GetCachedRow() => cachedRow;
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/// <summary>
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/// Parses raw byte data into a dictionary.
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/// This is a simplified parser - real implementation would use actual serialization format.
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/// </summary>
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private void ParseRowData(ReadOnlySpan<byte> data, int offset, Dictionary<string, object> result)
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{
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// Simplified example - actual implementation would properly deserialize
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// For now, we just populate with placeholder data to demonstrate the pattern
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for (int i = 0; i < columnNames.Count; i++)
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{
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// In real implementation, this would parse actual binary data
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// according to the column type
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result[columnNames[i]] = GetDefaultValue(columnTypes[i]);
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}
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}
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private object GetDefaultValue(Type type)
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{
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if (type == typeof(string))
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return string.Empty;
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if (type == typeof(int))
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return 0;
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if (type == typeof(long))
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return 0L;
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if (type == typeof(double))
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return 0.0;
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if (type == typeof(bool))
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return false;
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if (type == typeof(DateTime))
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return DateTime.MinValue;
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return null!;
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}
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/// <summary>
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/// Gets statistics about materialization operations.
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/// </summary>
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public RowMaterializerStatistics GetStatistics()
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{
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return new RowMaterializerStatistics
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{
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CachedRowSize = cachedRow.Count,
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ColumnCount = columnNames.Count
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};
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}
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public void Dispose()
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{
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if (!disposed)
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{
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cachedRow.Clear();
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columnNames.Clear();
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columnTypes.Clear();
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disposed = true;
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}
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}
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private void ThrowIfDisposed()
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{
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if (disposed)
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throw new ObjectDisposedException(GetType().Name);
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}
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}
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/// <summary>
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/// Statistics for row materialization monitoring.
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/// </summary>
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public class RowMaterializerStatistics
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{
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public int CachedRowSize { get; set; }
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public int ColumnCount { get; set; }
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public override string ToString()
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{
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return $"Cached: {CachedRowSize} columns, Metadata: {ColumnCount} columns";
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}
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}
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/// <summary>
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/// Thread-safe wrapper for RowMaterializer with lock-based synchronization.
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/// </summary>
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public class ThreadSafeRowMaterializer : IDisposable
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{
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private readonly RowMaterializer materializer;
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private readonly object lockObj = new();
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private bool disposed = false;
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public ThreadSafeRowMaterializer(IReadOnlyList<string> columns, IReadOnlyList<Type> types)
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{
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materializer = new RowMaterializer(columns, types);
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}
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/// <summary>
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/// Thread-safe version of MaterializeRow.
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/// Lock is held only during materialization, released before return.
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/// </summary>
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public Dictionary<string, object> MaterializeRowThreadSafe(ReadOnlySpan<byte> data, int offset)
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{
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ThrowIfDisposed();
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lock (lockObj)
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{
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// Get reference while holding lock
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var cachedRow = materializer.GetCachedRow();
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cachedRow.Clear();
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// Materialize into cached row
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materializer.MaterializeRow(data, offset);
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// Make a copy while holding lock
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return new Dictionary<string, object>(cachedRow);
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}
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// Lock released - no contention!
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}
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/// <summary>
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/// Thread-safe batch materialization.
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/// </summary>
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public List<Dictionary<string, object>> MaterializeRowsThreadSafe(
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ReadOnlySpan<byte> data, IReadOnlyList<int> offsets)
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{
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ThrowIfDisposed();
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lock (lockObj)
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{
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return materializer.MaterializeRows(data, offsets);
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}
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}
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public void Dispose()
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{
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if (!disposed)
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{
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lock (lockObj)
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{
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materializer.Dispose();
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}
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disposed = true;
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}
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}
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private void ThrowIfDisposed()
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{
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if (disposed)
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throw new ObjectDisposedException(GetType().Name);
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}
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}

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