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Merge pull request #44 from sshekhar563/add-criterion-benchmarks
Add comprehensive criterion benchmarks for nexum_core
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‎.github/workflows/ci.yml‎

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- name: Security audit
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run: cargo audit
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benchmarks:
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name: Rust benchmarks
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runs-on: ubuntu-latest
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if: github.event_name == 'pull_request'
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- name: Set up Rust
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uses: dtolnay/rust-toolchain@stable
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- name: Cache cargo
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uses: actions/cache@v4
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with:
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path: |
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~/.cargo/registry
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~/.cargo/git
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~/.cargo/bin
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target
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key: ${{ runner.os }}-cargo-bench-${{ hashFiles('**/Cargo.toml') }}
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restore-keys: ${{ runner.os }}-cargo-bench-
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- name: Run benchmarks on current branch
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run: |
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cd nexum_core
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cargo bench --bench storage_bench | tee current_bench.log
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cargo bench --bench sql_bench | tee -a current_bench.log
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cargo bench --bench executor_bench | tee -a current_bench.log
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cargo bench --bench filter_bench | tee -a current_bench.log
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- name: Check if benchmarks exist on main
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id: check_main
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run: |
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git fetch origin main
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if git show origin/main:nexum_core/Cargo.toml | grep -q "criterion"; then
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echo "benchmarks_exist=true" >> $GITHUB_OUTPUT
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else
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echo "benchmarks_exist=false" >> $GITHUB_OUTPUT
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fi
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- name: Run benchmarks on main branch (if they exist)
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if: steps.check_main.outputs.benchmarks_exist == 'true'
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run: |
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git stash
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git checkout origin/main
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cd nexum_core
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cargo bench --bench storage_bench | tee main_bench.log
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cargo bench --bench sql_bench | tee -a main_bench.log
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cargo bench --bench executor_bench | tee -a main_bench.log
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cargo bench --bench filter_bench | tee -a main_bench.log
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- name: Generate benchmark summary
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run: |
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echo "## 🚀 Benchmark Results" >> $GITHUB_STEP_SUMMARY
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echo "" >> $GITHUB_STEP_SUMMARY
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echo "Benchmarks completed successfully for nexum_core performance-critical paths." >> $GITHUB_STEP_SUMMARY
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echo "" >> $GITHUB_STEP_SUMMARY
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echo "### 📊 Benchmark Suites Executed" >> $GITHUB_STEP_SUMMARY
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echo "- ✅ **Storage Engine**: Read/write throughput, mixed workloads" >> $GITHUB_STEP_SUMMARY
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echo "- ✅ **SQL Parser**: CREATE, INSERT, SELECT statement parsing" >> $GITHUB_STEP_SUMMARY
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echo "- ✅ **Query Executor**: Table scans, filtered queries, large datasets" >> $GITHUB_STEP_SUMMARY
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echo "- ✅ **Filter Evaluation**: WHERE clause processing, expression evaluation" >> $GITHUB_STEP_SUMMARY
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echo "" >> $GITHUB_STEP_SUMMARY
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if [ "${{ steps.check_main.outputs.benchmarks_exist }}" = "true" ]; then
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echo "### 📈 Comparison" >> $GITHUB_STEP_SUMMARY
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echo "Performance comparison against main branch completed." >> $GITHUB_STEP_SUMMARY
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else
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echo "### 🆕 New Benchmarks" >> $GITHUB_STEP_SUMMARY
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echo "This is the first time benchmarks are being added to the project." >> $GITHUB_STEP_SUMMARY
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fi
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echo "" >> $GITHUB_STEP_SUMMARY
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echo "### 📋 Detailed Results" >> $GITHUB_STEP_SUMMARY
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echo "Check the job logs and uploaded artifacts for detailed performance metrics." >> $GITHUB_STEP_SUMMARY
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- name: Upload benchmark results
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uses: actions/upload-artifact@v4
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with:
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name: benchmark-results
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path: |
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nexum_core/current_bench.log
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nexum_core/main_bench.log
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nexum_core/target/criterion/
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if: always()
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python:
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name: Python tests
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runs-on: ubuntu-latest

‎.gitignore‎

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dist/
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build/
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# Test coverage
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.coverage
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coverage.xml
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htmlcov/
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.pytest_cache/
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# IDE
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.vscode/
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.idea/

‎nexum_core/BENCHMARKS.md‎

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# NexumDB Core Performance Benchmarks
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This document provides an overview of the comprehensive benchmarking suite implemented for `nexum_core`.
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## Overview
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The benchmarking suite uses [Criterion.rs](https://github.com/bheisler/criterion.rs) to provide:
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- Statistical analysis of performance metrics
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- Regression detection across code changes
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- HTML reports with interactive charts
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- CI integration for automated performance monitoring
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## Quick Start
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```bash
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# Run all benchmarks
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cd nexum_core
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cargo bench
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# Run specific benchmark suite
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cargo bench --bench storage_bench
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# Use the benchmark runner script (Linux/macOS)
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./run_benchmarks.sh
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```
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## Benchmark Suites
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### 1. Storage Engine (`storage_bench.rs`)
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- **Write Throughput**: 100 to 100,000 sequential writes
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- **Read Throughput**: 100 to 100,000 sequential reads
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- **Mixed Workload**: Various read/write ratios (70/30, 50/50, 30/70)
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- **Prefix Scanning**: Scan performance with different prefix sizes
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- **Persistence**: Flush and durability operations
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### 2. SQL Parser (`sql_bench.rs`)
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- **CREATE TABLE**: Simple and complex table definitions
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- **INSERT**: 1 to 1,000 row batch inserts
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- **SELECT**: Simple to complex query parsing
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- **Mixed Workload**: Realistic SQL statement patterns
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- **Error Handling**: Invalid SQL processing performance
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- **Large Queries**: 10,000+ row INSERT statements
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### 3. Query Executor (`executor_bench.rs`)
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- **Simple SELECT**: Table scanning with 100 to 10,000 records
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- **Filtered SELECT**: WHERE clause evaluation performance
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- **INSERT Operations**: 1 to 1,000 row batch inserts
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- **CREATE TABLE**: Table creation overhead
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- **Mixed Workload**: Typical application usage patterns
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- **Large Datasets**: 50,000 to 100,000 record operations
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### 4. Filter Evaluation (`filter_bench.rs`)
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- **Simple Comparisons**: =, >, <, >=, <=, != operations
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- **Complex Expressions**: AND, OR, nested conditions
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- **LIKE Patterns**: %, _ wildcard matching
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- **IN Lists**: 5 to 100 item list performance
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- **BETWEEN Ranges**: Numeric and text range filtering
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- **Batch Evaluation**: 10,000 row filter processing
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## Performance Targets
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| Component | Operation | Target Performance |
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|-----------|-----------|-------------------|
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| Storage | Write Throughput | >10,000 ops/sec |
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| Storage | Read Throughput | >50,000 ops/sec |
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| Storage | Mixed Workload | >5,000 ops/sec |
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| SQL Parser | Simple Queries | <1ms parse time |
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| SQL Parser | Complex Queries | <10ms parse time |
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| Executor | Table Scans | >1,000 records/ms |
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| Executor | Filtered Queries | >500 records/ms |
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| Filters | Simple Filters | <1μs per row |
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| Filters | Complex Filters | <10μs per row |
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## CI Integration
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Benchmarks run automatically on pull requests:
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1. **Baseline Comparison**: Compare against main branch
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2. **Regression Detection**: Identify performance degradations
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3. **Report Generation**: Create performance summaries
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4. **Artifact Upload**: Store detailed results
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### CI Workflow
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```yaml
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benchmarks:
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name: Rust benchmarks
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runs-on: ubuntu-latest
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if: github.event_name == 'pull_request'
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# ... runs benchmarks and compares results
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```
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## Interpreting Results
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### Criterion Output
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```
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storage_write/sequential_writes/1000
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time: [2.1234 ms 2.1456 ms 2.1678 ms]
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thrpt: [461.23 Kelem/s 466.12 Kelem/s 470.89 Kelem/s]
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```
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- **time**: Mean execution time with confidence interval
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- **thrpt**: Throughput (elements per second)
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- **change**: Performance change from previous run
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### HTML Reports
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- Interactive charts showing performance trends
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- Statistical analysis with confidence intervals
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- Comparison between different benchmark runs
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- Detailed timing distributions
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## Development Workflow
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### Before Making Changes
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```bash
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# Establish baseline
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cargo bench > baseline_results.txt
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```
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### After Making Changes
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```bash
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# Run benchmarks and compare
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cargo bench
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# Check for regressions in the output
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```
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### Adding New Benchmarks
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1. **Create benchmark function**:
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```rust
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fn my_benchmark(c: &mut Criterion) {
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let mut group = c.benchmark_group("my_feature");
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// ... benchmark implementation
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group.finish();
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}
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```
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2. **Add to criterion_group!**:
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```rust
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criterion_group!(benches, existing_bench, my_benchmark);
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```
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3. **Update documentation** with performance targets
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## Optimization Guidelines
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### Storage Layer
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- Minimize allocations in hot paths
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- Use batch operations for bulk data
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- Optimize key encoding/decoding
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- Implement efficient caching
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### SQL Parser
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- Cache compiled regex patterns
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- Minimize string allocations
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- Use efficient AST construction
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- Implement parser combinators
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### Query Executor
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- Implement query plan caching
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- Use vectorized operations
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- Optimize memory access patterns
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- Implement parallel processing
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### Filter Evaluation
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- Short-circuit boolean expressions
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- Use SIMD for bulk operations
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- Optimize regex compilation
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- Implement predicate pushdown
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## Troubleshooting
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### Common Issues
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**Inconsistent Results**
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- Ensure stable system conditions
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- Close other applications
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- Run multiple times and average
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**Memory Issues**
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- Use `BatchSize::SmallInput` for large datasets
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- Monitor memory allocation patterns
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- Check for memory leaks
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**Compilation Errors**
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- Ensure all dependencies are available
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- Check feature flags
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- Verify Rust version compatibility
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### Performance Analysis Tools
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```bash
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# Detailed profiling
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cargo install flamegraph
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cargo flamegraph --bench storage_bench
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# Memory profiling
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cargo install heaptrack
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heaptrack cargo bench --bench storage_bench
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# Assembly analysis
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cargo asm nexum_core::storage::StorageEngine::set
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```
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## Contributing
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When contributing benchmarks:
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1. **Follow existing patterns** in benchmark structure
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2. **Include realistic test data** representative of actual usage
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3. **Document performance expectations** and targets
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4. **Test locally** before submitting PRs
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5. **Consider CI runtime** - keep benchmarks reasonably fast
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### Benchmark Checklist
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- [ ] Realistic test data and scenarios
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- [ ] Multiple input sizes tested
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- [ ] Appropriate throughput measurements
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- [ ] Documentation updated
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- [ ] Performance targets defined
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- [ ] CI integration tested
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## Resources
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- [Criterion.rs Documentation](https://bheisler.github.io/criterion.rs/book/)
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- [Rust Performance Book](https://nnethercote.github.io/perf-book/)
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- [Benchmarking Best Practices](https://github.com/bheisler/criterion.rs/blob/master/book/src/user_guide/advanced_configuration.md)

‎nexum_core/Cargo.toml‎

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[dev-dependencies]
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tempfile = "3.8"
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criterion = { version = "0.5", features = ["html_reports"] }
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[[bench]]
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name = "storage_bench"
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harness = false
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[[bench]]
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name = "sql_bench"
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harness = false
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[[bench]]
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name = "executor_bench"
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harness = false
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[[bench]]
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name = "filter_bench"
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harness = false

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