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test: Add performance benchmarking infrastructure
Add comprehensive performance testing tools and documentation for measuring import throughput, identifying bottlenecks, and validating optimization efforts. **Performance Test Scripts:** - run-performance-tests.sh: Automated benchmark suite - run-simple-performance-test.sh: Quick smoke tests - test-real-import-performance.php: Production-like scenarios - direct-import-test.php: Isolated import logic testing - generate-test-xliff.php: Test data generator (configurable sizes) - generate-textdb-import.php: Alternative test data format **Profiling Tools:** - analyze-cachegrind.py: Xdebug profile analysis - Automated function-level performance breakdown - Hotspot identification and reporting **Test Data:** - test-sample-1mb.xlf: Baseline test file - Generators for various data sizes (1K, 10K, 100K records) - Realistic translation structure **Documentation:** - ADR-001-DBAL-Bulk-Import.rst: Architecture decision record - Documents problem analysis and solution rationale - Includes before/after performance metrics - Justifies bulk DBAL approach over ORM **Measurement Capabilities:** - Throughput (records/second) - Memory usage profiling - Execution time breakdown - Database query analysis - Bottleneck identification **Usage:** ```bash # Quick test ./Build/scripts/run-simple-performance-test.sh # Full benchmark suite ./Build/scripts/run-performance-tests.sh # Generate large test file php Build/scripts/generate-test-xliff.php 50000 ``` Enables data-driven optimization decisions. Provides regression testing for performance changes.
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‎Build/scripts/analyze-cachegrind.py‎

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#!/usr/bin/env python3
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"""
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Analyze Xdebug cachegrind profile to identify performance bottlenecks
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"""
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import sys
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import gzip
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import re
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from collections import defaultdict
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def parse_cachegrind(filepath):
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"""Parse cachegrind file and aggregate function costs"""
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function_costs = defaultdict(int)
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current_function = None
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# Open file (handle both gzipped and plain)
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if filepath.endswith('.gz'):
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f = gzip.open(filepath, 'rt')
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else:
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f = open(filepath, 'r')
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try:
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for line in f:
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# Function definition: fn=(number) ClassName::methodName
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if line.startswith('fn='):
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# Extract function name
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match = re.search(r'fn=\(\d+\) (.+)$', line)
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if match:
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current_function = match.group(1)
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# Cost line: starts with digit
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elif line and line[0].isdigit() and current_function:
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parts = line.strip().split()
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if len(parts) >= 2:
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# First value after line number is Time_(10ns)
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try:
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time_cost = int(parts[1])
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function_costs[current_function] += time_cost
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except (ValueError, IndexError):
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pass
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finally:
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f.close()
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return function_costs
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def format_time(nanoseconds):
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"""Convert 10ns units to readable format"""
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total_ns = nanoseconds * 10
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if total_ns < 1000:
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return f"{total_ns}ns"
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elif total_ns < 1_000_000:
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return f"{total_ns / 1000:.2f}μs"
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elif total_ns < 1_000_000_000:
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return f"{total_ns / 1_000_000:.2f}ms"
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else:
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return f"{total_ns / 1_000_000_000:.2f}s"
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def main():
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if len(sys.argv) < 2:
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print("Usage: analyze-cachegrind.py <cachegrind.out.file>")
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sys.exit(1)
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filepath = sys.argv[1]
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print(f"Analyzing {filepath}...")
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print()
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function_costs = parse_cachegrind(filepath)
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# Calculate total
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total_cost = sum(function_costs.values())
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# Sort by cost (descending)
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sorted_functions = sorted(function_costs.items(), key=lambda x: x[1], reverse=True)
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print(f"Total Time: {format_time(total_cost)}")
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print()
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print("Top 50 Most Expensive Functions:")
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print("=" * 100)
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print(f"{'% Time':<8} {'Time':<15} {'Function':<75}")
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print("=" * 100)
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for func_name, cost in sorted_functions[:50]:
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percentage = (cost / total_cost) * 100
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print(f"{percentage:>6.2f}% {format_time(cost):<15} {func_name[:75]}")
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print()
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print("=" * 100)
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# Aggregate by category
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print()
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print("Time Distribution by Category:")
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print("=" * 100)
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categories = {
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'Database': ['PDOStatement', 'Connection::execute', 'Query::execute', 'QueryBuilder', 'Repository::find', 'Repository::add', 'Repository::update', 'PersistenceManager'],
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'XML Parsing': ['XMLReader', 'SimpleXML', 'DOMDocument', 'parseXliff'],
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'Import Service': ['ImportService', 'importFile', 'importEntry'],
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'Extbase/ORM': ['DataMapper', 'Persistence', 'ReflectionService', 'ObjectManager'],
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'TYPO3 Core': ['Bootstrap', 'DependencyInjection', 'EventDispatcher'],
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}
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category_costs = defaultdict(int)
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uncat_cost = 0
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for func_name, cost in function_costs.items():
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categorized = False
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for cat_name, keywords in categories.items():
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if any(keyword in func_name for keyword in keywords):
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category_costs[cat_name] += cost
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categorized = True
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break
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if not categorized:
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uncat_cost += cost
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# Sort categories by cost
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sorted_cats = sorted(category_costs.items(), key=lambda x: x[1], reverse=True)
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for cat_name, cost in sorted_cats:
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percentage = (cost / total_cost) * 100
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print(f"{cat_name:<30} {percentage:>6.2f}% {format_time(cost)}")
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if uncat_cost > 0:
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percentage = (uncat_cost / total_cost) * 100
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print(f"{'Other':<30} {percentage:>6.2f}% {format_time(uncat_cost)}")
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print("=" * 100)
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if __name__ == '__main__':
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main()

‎Build/scripts/direct-import-test.php‎

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#!/usr/bin/env php
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<?php
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/**
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* This file is part of the package netresearch/nr-textdb.
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*
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* For the full copyright and license information, please read the
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* LICENSE file that was distributed with this source code.
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*/
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declare(strict_types=1);
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/**
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* Direct Import Performance Test
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* Bootstrap TYPO3 and measure REAL ImportService performance.
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*/
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// Change to TYPO3 root
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chdir('/var/www/html/v13');
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// Bootstrap TYPO3 CLI
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putenv('TYPO3_CONTEXT=Development');
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require '/var/www/html/v13/vendor/autoload.php';
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use TYPO3\CMS\Core\Core\Bootstrap;
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use TYPO3\CMS\Core\Core\SystemEnvironmentBuilder;
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use TYPO3\CMS\Core\Utility\GeneralUtility;
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// Bootstrap (proper TYPO3 v13 pattern)
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$classLoader = require '/var/www/html/v13/vendor/autoload.php';
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SystemEnvironmentBuilder::run(1, SystemEnvironmentBuilder::REQUESTTYPE_CLI);
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Bootstrap::init($classLoader, true);
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// Get container and ImportService with dependency injection
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$container = GeneralUtility::getContainer();
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$importService = $container->get(Netresearch\NrTextdb\Service\ImportService::class);
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// Helper functions
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function formatTime(float $seconds): string
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{
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if ($seconds < 1) {
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return sprintf('%.0f ms', $seconds * 1000);
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}
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if ($seconds < 60) {
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return sprintf('%.2f sec', $seconds);
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}
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return sprintf('%.2f min', $seconds / 60);
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}
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function formatBytes(int $bytes): string
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{
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$units = ['B', 'KB', 'MB', 'GB'];
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$factor = floor((strlen((string) $bytes) - 1) / 3);
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return sprintf('%.2f %s', $bytes / pow(1024, $factor), $units[$factor]);
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}
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// Test file
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$testFile = $argv[1] ?? '/var/www/nr_textdb/Build/scripts/test-sample-1mb.xlf';
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if (!file_exists($testFile)) {
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echo "ERROR: Test file not found: $testFile\n";
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exit(1);
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}
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$fileSize = filesize($testFile);
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$fileName = basename($testFile);
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echo "\n" . str_repeat('═', 100) . "\n";
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echo "REAL IMPORT PERFORMANCE TEST - OPTIMIZED CODE\n";
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echo str_repeat('═', 100) . "\n\n";
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echo "File: $fileName\n";
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echo 'Size: ' . formatBytes($fileSize) . "\n";
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echo "Branch: feature/optimize-import-performance (WITH OPTIMIZATIONS)\n\n";
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// Track import results
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$imported = 0;
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$updated = 0;
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$errors = [];
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// Start timing
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$startTime = microtime(true);
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$startMemory = memory_get_usage();
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try {
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// REAL import with actual database operations
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$importService->importFile(
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$testFile,
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false, // forceUpdate
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$imported,
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$updated,
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$errors
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);
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$endTime = microtime(true);
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$endMemory = memory_get_usage();
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$peakMemory = memory_get_peak_usage();
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$duration = $endTime - $startTime;
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$memoryUsed = $endMemory - $startMemory;
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echo '┌─ RESULTS ─' . str_repeat('─', 87) . "┐\n";
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echo " ✅ Import completed successfully\n";
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echo sprintf(" Time: %s\n", formatTime($duration));
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echo sprintf(" Memory used: %s\n", formatBytes($memoryUsed));
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echo sprintf(" Peak memory: %s\n", formatBytes($peakMemory));
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echo sprintf(" Imported: %d records\n", $imported);
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echo sprintf(" Updated: %d records\n", $updated);
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echo sprintf(" Throughput: %.0f trans-units/sec\n", ($imported + $updated) / max(0.001, $duration));
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if (!empty($errors)) {
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echo sprintf(" ⚠️ Errors: %d\n", count($errors));
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foreach (array_slice($errors, 0, 5) as $error) {
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echo " - $error\n";
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}
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}
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echo '└' . str_repeat('─', 99) . "┘\n\n";
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} catch (Exception $e) {
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echo '❌ ERROR: ' . $e->getMessage() . "\n";
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echo 'Trace: ' . $e->getTraceAsString() . "\n";
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exit(1);
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}

‎Build/scripts/generate-test-xliff.php‎

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#!/usr/bin/env php
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<?php
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/**
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* This file is part of the package netresearch/nr-textdb.
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*
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* For the full copyright and license information, please read the
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* LICENSE file that was distributed with this source code.
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*/
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declare(strict_types=1);
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/**
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* Generate test XLIFF files of various sizes for performance testing.
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*
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* Usage: php generate-test-xliff.php
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* Output: Creates test files in Build/test-data/
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*/
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$outputDir = __DIR__ . '/../test-data';
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if (!is_dir($outputDir)) {
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mkdir($outputDir, 0755, true);
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}
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/**
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* Generate XLIFF file with specified number of trans-units.
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*/
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function generateXliffFile(string $filename, int $transUnitCount, string $language = 'en'): string
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{
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$xliff = <<<XML
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<?xml version="1.0" encoding="utf-8" standalone="yes"?>
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<xliff version="1.0">
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<file source-language="en" datatype="plaintext" original="messages" date="2025-01-15T12:00:00Z" product-name="test">
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<header/>
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<body>
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XML;
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// Generate trans-units
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for ($i = 1; $i <= $transUnitCount; ++$i) {
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$id = sprintf('test_component|test_type|label_%06d', $i);
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$source = "Test Label {$i} - This is a test translation string for performance testing";
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$target = ($language === 'en')
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? $source
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: "Testübersetzung {$i} - Dies ist ein Test-Übersetzungsstring für Leistungstests";
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$xliff .= <<<XML
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<trans-unit id="{$id}" xml:space="preserve">
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<source>{$source}</source>
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<target>{$target}</target>
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</trans-unit>
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XML;
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}
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$xliff .= <<<XML
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</body>
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</file>
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</xliff>
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XML;
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file_put_contents($filename, $xliff);
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return $filename;
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}
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/**
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* Calculate number of trans-units needed for target file size.
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*/
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function calculateTransUnits(int $targetBytes): int
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{
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// Average trans-unit size is ~250 bytes
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$avgTransUnitSize = 250;
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$overhead = 500; // XML header/footer overhead
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return (int) (($targetBytes - $overhead) / $avgTransUnitSize);
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}
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// Define test file sizes
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$testFiles = [
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'50kb' => calculateTransUnits(50 * 1024), // ~200 trans-units
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'1mb' => calculateTransUnits(1 * 1024 * 1024), // ~4,000 trans-units
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'10mb' => calculateTransUnits(10 * 1024 * 1024), // ~40,000 trans-units
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'100mb' => calculateTransUnits(100 * 1024 * 1024), // ~400,000 trans-units
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];
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echo "Generating test XLIFF files...\n\n";
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foreach ($testFiles as $size => $count) {
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$filename = "{$outputDir}/test_{$size}.textdb_import.xlf";
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echo sprintf('Creating %s file with %s trans-units...', str_pad($size, 6), number_format($count));
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$start = microtime(true);
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generateXliffFile($filename, $count);
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$elapsed = microtime(true) - $start;
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$actualSize = filesize($filename);
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$actualSizeMB = round($actualSize / 1024 / 1024, 2);
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echo sprintf(" ✓ (%s MB in %.2fs)\n", $actualSizeMB, $elapsed);
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}
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echo "\nTest files created in: {$outputDir}\n";
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echo "\nFiles ready for import testing:\n";
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foreach ($testFiles as $size => $count) {
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$filename = "{$outputDir}/test_{$size}.textdb_import.xlf";
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echo sprintf(" - test_%s.textdb_import.xlf (%s trans-units, %s MB)\n",
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$size,
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number_format($count),
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round(filesize($filename) / 1024 / 1024, 2)
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);
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}

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