Add comprehensive aggregate benchmarks for database comparison suite

[Copilot]

Implements missing aggregate operation benchmarks (COUNT, SUM, AVG, MIN, MAX, GROUP BY) comparing SharpCoreDB (encrypted/unencrypted) vs SQLite vs LiteDB across 10K records.

Changes

New Benchmarks

• ComparativeAggregateBenchmarks.cs: 16 benchmark methods covering:
  • COUNT operations (full table and filtered)
  • Aggregate functions (SUM, AVG, MIN, MAX)
  • GROUP BY with aggregates
  • Complex multi-operation queries with filtering

Infrastructure

• BenchmarkDatabaseHelper.ExecuteQuery(): Public wrapper for query execution to support aggregate benchmarks
• ComprehensiveBenchmarkRunner: Integrated aggregate benchmarks into quick/full modes
• Program.cs: Added --aggregates CLI option and interactive menu entry

Documentation

• COMPARATIVE_BENCHMARKS_README.md: Aggregate benchmark documentation with LiteDB LINQ limitation notes
• README.md: Enhanced benchmark running instructions with all operation categories

Implementation Notes

LiteDB lacks native SQL aggregate functions, so benchmarks use LINQ methods (FindAll().Sum()) which materialize all records into memory. This architectural difference is documented in code and README for accurate performance interpretation.

All benchmarks properly consume query results to ensure fair comparison across engines. SQLite serves as baseline with proper result reading; SharpCoreDB and LiteDB return counts/values to avoid measurement skew.

Usage

# Run aggregate benchmarks only
dotnet run -c Release -- --aggregates

# Full suite includes aggregates
dotnet run -c Release -- --full

Original prompt

User Request

The user requested: "De volledige benchmark code implementeren in het correcte COMPARISON_BENCHMARKS_README.md project. Alle vergelijkingen maken (SQLite, LiteDB, SharpCoreDB encrypted/unencrypted). Alle scenario's implementeren (Insert, Select, Update, Delete, Aggregates)."

Additionally, the benchmarks must be documented and updated in the README.md file.

Overview

Implement a comprehensive suite of comparison benchmarks in the SharpCoreDB.Benchmarks project to measure and compare performance across different database engines and configurations.

Database Comparisons Required

• SharpCoreDB (encrypted with AES-256-GCM)
• SharpCoreDB (unencrypted)
• SQLite
• LiteDB

Benchmark Scenarios to Implement

1. Insert Operations

• Bulk inserts (1K, 10K, 100K records)
• Single inserts
• Batch inserts with transactions
• Insert with indexes

2. Select Operations

• Simple SELECT queries
• Filtered queries (WHERE clause)
• Range queries
• JOIN operations
• Indexed vs non-indexed queries

3. Update Operations

• Single record updates
• Bulk updates
• Conditional updates (WHERE clause)
• Update with transactions

4. Delete Operations

• Single record deletes
• Bulk deletes
• Conditional deletes
• Delete with cascading

5. Aggregate Operations

• COUNT operations
• SUM, AVG, MIN, MAX
• GROUP BY operations
• Complex aggregations with filtering

Technical Requirements

Implementation Details

• Target Framework: .NET 10
• Benchmark Framework: BenchmarkDotNet
• Location: SharpCoreDB.Benchmarks/Comparison/ directory
• Project File: D:\source\repos\MPCoreDeveloper\SharpCoreDB\SharpCoreDB.Benchmarks\SharpCoreDB.Benchmarks.csproj

Deliverables

✅ Runnable benchmarks with dotnet run -c Release
✅ Real performance measurements using BenchmarkDotNet
✅ HTML report generation
✅ CSV/JSON export for analysis
✅ Comparative analysis across all database engines
✅ Memory allocation tracking
✅ Throughput measurements (ops/sec)
✅ Latency measurements (ms)

Documentation Updates Required

1. Update SharpCoreDB.Benchmarks/COMPARISON_BENCHMARKS_README.md with:

   • Complete usage instructions
   • How to run each benchmark
   • How to interpret results
   • Performance analysis guidelines

2. Update main README.md with:

   • Benchmark results summary
   • Performance comparison tables
   • Links to detailed benchmark documentation
   • Quick start guide for running benchmarks

Benchmark Structure

File Organization

SharpCoreDB.Benchmarks/
├── Comparison/
│   ├── InsertBenchmarks.cs
│   ├── SelectBenchmarks.cs
│   ├── UpdateBenchmarks.cs
│   ├── DeleteBenchmarks.cs
│   ├── AggregateBenchmarks.cs
│   ├── BenchmarkBase.cs (shared setup/teardown)
│   └── TestData/
│       └── DataGenerator.cs
├── COMPARISON_BENCHMARKS_README.md
└── Program.cs

Benchmark Configuration

• Use [SimpleJob(RuntimeMoniker.Net10)]
• Include [MemoryDiagnoser]
• Include [RankColumn]
• Include [MinColumn, MaxColumn, MeanColumn, MedianColumn]
• Configure warmup and iteration counts appropriately

Success Criteria

• All benchmarks execute successfully without errors
• Results are reproducible across runs
• Clear performance comparisons available in tabular format
• HTML reports generated with charts
• Documentation includes interpretation guide
• CI/CD integration ready (optional)
• Memory allocation metrics captured
• Both cold-start and warm-cache scenarios tested

Implementation Notes

• Use realistic data sets (e.g., 10K-100K records for bulk operations)
• Include warmup iterations to ensure JIT compilation is complete
• Measure both cold-start (first run) and warm-cache (subsequent runs) scenarios
• Consider memory pressure scenarios
• Validate correctness of operations across all engines
• Ensure fair comparison (same data, same operations)
• Use connection pooling where appropriate
• Test with and without indexes

Benchmark Categories

1. Throughput Benchmarks: Measure operations per second
2. Latency Benchmarks: Measure time per operation
3. Memory Benchmarks: Measure memory allocation and GC pressure
4. Scalability Benchmarks: Measure performance with varying data sizes

Expected Output Format

• BenchmarkDotNet console output
• HTML reports with charts
• CSV files for custom analysis
• JSON files for programmatic consumption
• Markdown summary for documentation

Testing Notes

⚠️ These benchmarks need to be tested after implementation to ensure they work correctly
⚠️ Verify that all database engines are properly configured and disposed
⚠️ Ensure temporary test databases are cleaned up after benchmarks

Related Files

• docs/benchmarks/DATABASE_COMPARISON.md
• docs/benchmarks/BENCHMARK_IMPLEMENTATION_GUIDE.md
• docs/guides/BENCHMARK_GUIDE.md
• Current workspace: .NET 10 targeting with C# 14

Estimated Implementation Time

Approximately 5-10 minutes for full implementation of al...

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