☕ ☕ TuskLang Java Performance Guide

Java Documentation

☕ TuskLang Java Performance Guide

"We don't bow to any king" - Java Edition

Master TuskLang performance optimization in Java with comprehensive coverage of performance tuning, caching strategies, Java integration patterns, and best practices for high-performance configuration management.

🎯 Performance Basics

Performance Metrics

import org.tusklang.java.TuskLang;
import org.tusklang.java.performance.PerformanceMonitor;
import org.tusklang.java.performance.PerformanceMetrics;
import java.util.Map;public class PerformanceBasics {
    public static void main(String[] args) {
        TuskLang parser = new TuskLang();
        PerformanceMonitor monitor = new PerformanceMonitor();
        
        // Enable performance monitoring
        parser.setPerformanceMonitor(monitor);
        
        // Parse configuration with performance tracking
        long startTime = System.nanoTime();
        Map<String, Object> config = parser.parseFile("config.tsk");
        long endTime = System.nanoTime();
        
        // Get performance metrics
        PerformanceMetrics metrics = monitor.getMetrics();
        
        System.out.println("=== Performance Metrics ===");
        System.out.println("Parse time: " + (endTime - startTime) / 1_000_000 + " ms");
        System.out.println("Memory usage: " + metrics.getMemoryUsage() + " bytes");
        System.out.println("File size: " + metrics.getFileSize() + " bytes");
        System.out.println("Parse speed: " + metrics.getParseSpeed() + " bytes/ms");
        System.out.println("Cache hits: " + metrics.getCacheHits());
        System.out.println("Cache misses: " + metrics.getCacheMisses());
    }
}

Performance Configuration

import org.tusklang.java.TuskLang;
import org.tusklang.java.performance.PerformanceConfig;
import java.util.Map;public class PerformanceConfiguration {
    public static void main(String[] args) {
        // Configure performance settings
        PerformanceConfig config = new PerformanceConfig();
        config.setEnableCaching(true);
        config.setCacheSize(1000);
        config.setEnableCompression(true);
        config.setEnableParallelParsing(true);
        config.setMaxThreads(4);
        config.setEnableProfiling(true);
        
        TuskLang parser = new TuskLang();
        parser.setPerformanceConfig(config);
        
        // Parse with performance optimizations
        Map<String, Object> result = parser.parseFile("config.tsk");
        System.out.println("Configuration parsed with performance optimizations");
    }
}

⚡ Caching Strategies

File-Level Caching

import org.tusklang.java.TuskLang;
import org.tusklang.java.cache.FileCache;
import org.tusklang.java.cache.CacheConfig;
import java.util.Map;public class FileCachingExample {
    public static void main(String[] args) {
        // Configure file cache
        CacheConfig cacheConfig = new CacheConfig();
        cacheConfig.setMaxSize(100);
        cacheConfig.setExpireAfterWrite(300); // 5 minutes
        cacheConfig.setExpireAfterAccess(60); // 1 minute
        
        FileCache cache = new FileCache(cacheConfig);
        
        TuskLang parser = new TuskLang();
        parser.setFileCache(cache);
        
        // First parse - cache miss
        long start1 = System.nanoTime();
        Map<String, Object> config1 = parser.parseFile("config.tsk");
        long end1 = System.nanoTime();
        
        // Second parse - cache hit
        long start2 = System.nanoTime();
        Map<String, Object> config2 = parser.parseFile("config.tsk");
        long end2 = System.nanoTime();
        
        System.out.println("First parse: " + (end1 - start1) / 1_000_000 + " ms");
        System.out.println("Second parse: " + (end2 - start2) / 1_000_000 + " ms");
        System.out.println("Cache hit ratio: " + cache.getHitRatio());
    }
}

Expression Caching

import org.tusklang.java.TuskLang;
import org.tusklang.java.cache.ExpressionCache;
import java.util.Map;public class ExpressionCachingExample {
    public static void main(String[] args) {
        TuskLang parser = new TuskLang();
        
        // Enable expression caching
        ExpressionCache expressionCache = new ExpressionCache();
        parser.setExpressionCache(expressionCache);
        
        String tskContent = """
            # Expensive expressions that benefit from caching
            user_count: @query("SELECT COUNT(*) FROM users")
            active_sessions: @query("SELECT COUNT(*) FROM sessions WHERE active = true")
            system_memory: @php("memory_get_usage(true)")
            current_time: @date.now()
            
            # Use cached expressions multiple times
            [metrics]
            total_users: $user_count
            active_users: $active_sessions
            memory_usage: $system_memory
            timestamp: $current_time
            """;
        
        // Parse with expression caching
        Map<String, Object> config = parser.parse(tskContent);
        
        System.out.println("Expression cache hits: " + expressionCache.getHitCount());
        System.out.println("Expression cache misses: " + expressionCache.getMissCount());
        System.out.println("Cache efficiency: " + expressionCache.getEfficiency() + "%");
    }
}

Memory Caching

import org.tusklang.java.TuskLang;
import org.tusklang.java.cache.MemoryCache;
import org.tusklang.java.cache.CacheEntry;
import java.util.Map;public class MemoryCachingExample {
    public static void main(String[] args) {
        // Configure memory cache
        MemoryCache memoryCache = new MemoryCache();
        memoryCache.setMaxMemorySize(100  1024  1024); // 100MB
        memoryCache.setEvictionPolicy("LRU");
        
        TuskLang parser = new TuskLang();
        parser.setMemoryCache(memoryCache);
        
        // Parse multiple configurations
        for (int i = 0; i < 10; i++) {
            Map<String, Object> config = parser.parseFile("config" + i + ".tsk");
            
            // Cache statistics
            System.out.println("Cache size: " + memoryCache.getSize());
            System.out.println("Memory usage: " + memoryCache.getMemoryUsage() + " bytes");
            System.out.println("Evictions: " + memoryCache.getEvictionCount());
        }
    }
}

🔄 Optimization Techniques

Lazy Loading

import org.tusklang.java.TuskLang;
import org.tusklang.java.optimization.LazyLoader;
import org.tusklang.java.config.TuskConfig;
import java.util.Map;
@TuskConfig
public class LazyConfig {
    public String appName;
    public String version;
    public LazyLoader<DatabaseConfig> database;
    public LazyLoader<ServerConfig> server;
}
@TuskConfig
public class DatabaseConfig {
    public String host;
    public int port;
    public String name;
}
@TuskConfig
public class ServerConfig {
    public String host;
    public int port;
    public boolean ssl;
}public class LazyLoadingExample {
    public static void main(String[] args) {
        TuskLang parser = new TuskLang();
        
        // Enable lazy loading
        parser.setLazyLoading(true);
        
        LazyConfig config = parser.parseFile("config.tsk", LazyConfig.class);
        
        // Access basic properties immediately
        System.out.println("App: " + config.appName + " v" + config.version);
        
        // Database config loaded only when accessed
        DatabaseConfig db = config.database.get();
        System.out.println("Database: " + db.host + ":" + db.port);
        
        // Server config loaded only when accessed
        ServerConfig server = config.server.get();
        System.out.println("Server: " + server.host + ":" + server.port);
    }
}

Parallel Parsing

import org.tusklang.java.TuskLang;
import org.tusklang.java.optimization.ParallelParser;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CompletableFuture;public class ParallelParsingExample {
    public static void main(String[] args) {
        TuskLang parser = new TuskLang();
        ParallelParser parallelParser = new ParallelParser(parser);
        
        // Parse multiple files in parallel
        List<String> files = List.of(
            "config1.tsk",
            "config2.tsk", 
            "config3.tsk",
            "config4.tsk"
        );
        
        long startTime = System.nanoTime();
        
        List<CompletableFuture<Map<String, Object>>> futures = 
            parallelParser.parseFilesAsync(files);
        
        // Wait for all parsing to complete
        CompletableFuture.allOf(futures.toArray(new CompletableFuture[0])).join();
        
        long endTime = System.nanoTime();
        
        System.out.println("Parallel parsing time: " + (endTime - startTime) / 1_000_000 + " ms");
        
        // Process results
        for (int i = 0; i < futures.size(); i++) {
            try {
                Map<String, Object> config = futures.get(i).get();
                System.out.println("Config " + (i + 1) + " loaded successfully");
            } catch (Exception e) {
                System.err.println("Error loading config " + (i + 1) + ": " + e.getMessage());
            }
        }
    }
}

Incremental Parsing

import org.tusklang.java.TuskLang;
import org.tusklang.java.optimization.IncrementalParser;
import java.util.Map;public class IncrementalParsingExample {
    public static void main(String[] args) {
        TuskLang parser = new TuskLang();
        IncrementalParser incrementalParser = new IncrementalParser(parser);
        
        // Initial parse
        Map<String, Object> baseConfig = incrementalParser.parseFile("base.tsk");
        System.out.println("Base config loaded");
        
        // Incremental updates
        String update1 = """
            [app]
            version: "1.1.0"
            debug: true
            """;
        
        Map<String, Object> updatedConfig1 = incrementalParser.parseIncremental(baseConfig, update1);
        System.out.println("Config updated with version 1.1.0");
        
        String update2 = """
            [database]
            port: 5433
            """;
        
        Map<String, Object> updatedConfig2 = incrementalParser.parseIncremental(updatedConfig1, update2);
        System.out.println("Config updated with new database port");
        
        // Performance comparison
        System.out.println("Incremental parsing time: " + incrementalParser.getLastParseTime() + " ms");
        System.out.println("Full parsing time: " + incrementalParser.getFullParseTime() + " ms");
    }
}

📊 Performance Monitoring

Real-Time Monitoring

import org.tusklang.java.TuskLang;
import org.tusklang.java.monitoring.PerformanceMonitor;
import org.tusklang.java.monitoring.MetricsCollector;
import java.util.Map;public class RealTimeMonitoring {
    public static void main(String[] args) {
        TuskLang parser = new TuskLang();
        
        // Set up performance monitoring
        PerformanceMonitor monitor = new PerformanceMonitor();
        MetricsCollector collector = new MetricsCollector();
        
        parser.setPerformanceMonitor(monitor);
        parser.setMetricsCollector(collector);
        
        // Parse with monitoring
        Map<String, Object> config = parser.parseFile("config.tsk");
        
        // Get real-time metrics
        Map<String, Object> metrics = collector.getCurrentMetrics();
        
        System.out.println("=== Real-Time Performance Metrics ===");
        System.out.println("Parse time: " + metrics.get("parseTime") + " ms");
        System.out.println("Memory usage: " + metrics.get("memoryUsage") + " bytes");
        System.out.println("CPU usage: " + metrics.get("cpuUsage") + "%");
        System.out.println("Cache hit ratio: " + metrics.get("cacheHitRatio") + "%");
        System.out.println("Throughput: " + metrics.get("throughput") + " configs/sec");
        
        // Get historical metrics
        List<Map<String, Object>> history = collector.getMetricsHistory();
        System.out.println("Historical data points: " + history.size());
    }
}

Performance Profiling

import org.tusklang.java.TuskLang;
import org.tusklang.java.profiling.PerformanceProfiler;
import org.tusklang.java.profiling.ProfileReport;
import java.util.Map;public class PerformanceProfiling {
    public static void main(String[] args) {
        TuskLang parser = new TuskLang();
        PerformanceProfiler profiler = new PerformanceProfiler();
        
        // Enable profiling
        parser.setProfiler(profiler);
        
        // Parse with profiling
        Map<String, Object> config = parser.parseFile("config.tsk");
        
        // Generate profile report
        ProfileReport report = profiler.generateReport();
        
        System.out.println("=== Performance Profile Report ===");
        System.out.println("Total parse time: " + report.getTotalTime() + " ms");
        System.out.println("Lexing time: " + report.getLexingTime() + " ms");
        System.out.println("Parsing time: " + report.getParsingTime() + " ms");
        System.out.println("Validation time: " + report.getValidationTime() + " ms");
        System.out.println("Cache operations: " + report.getCacheOperations());
        
        // Get bottlenecks
        List<String> bottlenecks = report.getBottlenecks();
        System.out.println("Bottlenecks:");
        for (String bottleneck : bottlenecks) {
            System.out.println("  - " + bottleneck);
        }
        
        // Get optimization suggestions
        List<String> suggestions = report.getOptimizationSuggestions();
        System.out.println("Optimization suggestions:");
        for (String suggestion : suggestions) {
            System.out.println("  - " + suggestion);
        }
    }
}

🔧 Performance Tuning

Memory Optimization

import org.tusklang.java.TuskLang;
import org.tusklang.java.optimization.MemoryOptimizer;
import java.util.Map;public class MemoryOptimization {
    public static void main(String[] args) {
        TuskLang parser = new TuskLang();
        MemoryOptimizer optimizer = new MemoryOptimizer();
        
        // Configure memory optimization
        optimizer.setEnableStringDeduplication(true);
        optimizer.setEnableObjectPooling(true);
        optimizer.setMaxObjectPoolSize(1000);
        optimizer.setEnableWeakReferences(true);
        
        parser.setMemoryOptimizer(optimizer);
        
        // Parse with memory optimization
        Map<String, Object> config = parser.parseFile("config.tsk");
        
        // Memory statistics
        System.out.println("=== Memory Optimization Results ===");
        System.out.println("Original memory usage: " + optimizer.getOriginalMemoryUsage() + " bytes");
        System.out.println("Optimized memory usage: " + optimizer.getOptimizedMemoryUsage() + " bytes");
        System.out.println("Memory savings: " + optimizer.getMemorySavings() + " bytes");
        System.out.println("Savings percentage: " + optimizer.getSavingsPercentage() + "%");
        System.out.println("String deduplication savings: " + optimizer.getStringDeduplicationSavings() + " bytes");
        System.out.println("Object pooling hits: " + optimizer.getObjectPoolHits());
    }
}

CPU Optimization

import org.tusklang.java.TuskLang;
import org.tusklang.java.optimization.CPUOptimizer;
import java.util.Map;public class CPUOptimization {
    public static void main(String[] args) {
        TuskLang parser = new TuskLang();
        CPUOptimizer optimizer = new CPUOptimizer();
        
        // Configure CPU optimization
        optimizer.setEnableJITCompilation(true);
        optimizer.setEnableLoopUnrolling(true);
        optimizer.setEnableBranchPrediction(true);
        optimizer.setMaxOptimizationLevel(3);
        
        parser.setCPUOptimizer(optimizer);
        
        // Parse with CPU optimization
        Map<String, Object> config = parser.parseFile("config.tsk");
        
        // CPU statistics
        System.out.println("=== CPU Optimization Results ===");
        System.out.println("Original CPU time: " + optimizer.getOriginalCPUTime() + " ms");
        System.out.println("Optimized CPU time: " + optimizer.getOptimizedCPUTime() + " ms");
        System.out.println("CPU time savings: " + optimizer.getCPUTimeSavings() + " ms");
        System.out.println("Performance improvement: " + optimizer.getPerformanceImprovement() + "%");
        System.out.println("JIT compilation time: " + optimizer.getJITCompilationTime() + " ms");
        System.out.println("Loop unrolling benefits: " + optimizer.getLoopUnrollingBenefits());
    }
}

🧪 Performance Testing

Benchmark Tests

import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.BeforeEach;
import static org.junit.jupiter.api.Assertions.*;
import org.tusklang.java.TuskLang;
import org.tusklang.java.benchmark.BenchmarkRunner;
import org.tusklang.java.benchmark.BenchmarkResult;
import java.util.Map;class PerformanceTest {
    
    private TuskLang parser;
    private BenchmarkRunner benchmarkRunner;
    
    @BeforeEach
    void setUp() {
        parser = new TuskLang();
        benchmarkRunner = new BenchmarkRunner(parser);
    }
    
    @Test
    void testParsePerformance() {
        String tskContent = """
            app_name: "Test App"
            version: "1.0.0"
            port: 8080
            
            [database]
            host: "localhost"
            port: 5432
            name: "testdb"
            
            [server]
            host: "0.0.0.0"
            port: 8080
            ssl: false
            """;
        
        BenchmarkResult result = benchmarkRunner.benchmarkParse(tskContent, 1000);
        
        System.out.println("=== Parse Performance Benchmark ===");
        System.out.println("Iterations: " + result.getIterations());
        System.out.println("Total time: " + result.getTotalTime() + " ms");
        System.out.println("Average time: " + result.getAverageTime() + " ms");
        System.out.println("Min time: " + result.getMinTime() + " ms");
        System.out.println("Max time: " + result.getMaxTime() + " ms");
        System.out.println("Throughput: " + result.getThroughput() + " ops/sec");
        
        // Performance assertions
        assertTrue(result.getAverageTime() < 1.0, "Average parse time should be less than 1ms");
        assertTrue(result.getThroughput() > 1000, "Throughput should be more than 1000 ops/sec");
    }
    
    @Test
    void testCachePerformance() {
        BenchmarkResult result = benchmarkRunner.benchmarkCache("config.tsk", 100);
        
        System.out.println("=== Cache Performance Benchmark ===");
        System.out.println("Cache hit ratio: " + result.getCacheHitRatio() + "%");
        System.out.println("Cache miss penalty: " + result.getCacheMissPenalty() + " ms");
        System.out.println("Cache efficiency: " + result.getCacheEfficiency() + "%");
        
        // Cache performance assertions
        assertTrue(result.getCacheHitRatio() > 80, "Cache hit ratio should be more than 80%");
        assertTrue(result.getCacheEfficiency() > 70, "Cache efficiency should be more than 70%");
    }
    
    @Test
    void testMemoryPerformance() {
        BenchmarkResult result = benchmarkRunner.benchmarkMemory("config.tsk", 50);
        
        System.out.println("=== Memory Performance Benchmark ===");
        System.out.println("Memory usage: " + result.getMemoryUsage() + " bytes");
        System.out.println("Memory per config: " + result.getMemoryPerConfig() + " bytes");
        System.out.println("Memory efficiency: " + result.getMemoryEfficiency() + "%");
        
        // Memory performance assertions
        assertTrue(result.getMemoryUsage() < 10  1024  1024, "Memory usage should be less than 10MB");
        assertTrue(result.getMemoryEfficiency() > 80, "Memory efficiency should be more than 80%");
    }
}

🔧 Troubleshooting

Common Performance Issues

1. Slow Parse Times

// Enable performance optimizations
PerformanceConfig config = new PerformanceConfig();
config.setEnableCaching(true);
config.setEnableCompression(true);
config.setEnableParallelParsing(true);TuskLang parser = new TuskLang();
parser.setPerformanceConfig(config);

2. High Memory Usage

// Enable memory optimization
MemoryOptimizer optimizer = new MemoryOptimizer();
optimizer.setEnableStringDeduplication(true);
optimizer.setEnableObjectPooling(true);parser.setMemoryOptimizer(optimizer);

3. Cache Inefficiency

// Optimize cache configuration
CacheConfig cacheConfig = new CacheConfig();
cacheConfig.setMaxSize(1000);
cacheConfig.setExpireAfterWrite(600); // 10 minutes
cacheConfig.setExpireAfterAccess(300); // 5 minutesFileCache cache = new FileCache(cacheConfig);
parser.setFileCache(cache);

📚 Best Practices

Performance Optimization Strategy

1. Profile first, optimize second

// Always profile before optimizing
PerformanceProfiler profiler = new PerformanceProfiler();
parser.setProfiler(profiler);
Map<String, Object> config = parser.parseFile("config.tsk");
ProfileReport report = profiler.generateReport();// Optimize based on profile data
if (report.getCacheMisses() > report.getCacheHits()) {
    // Optimize cache configuration
}
if (report.getMemoryUsage() > threshold) {
    // Optimize memory usage
}

2. Use appropriate caching strategies

// Use different cache types for different scenarios
FileCache fileCache = new FileCache(); // For file-based configs
ExpressionCache exprCache = new ExpressionCache(); // For expensive expressions
MemoryCache memCache = new MemoryCache(); // For frequently accessed dataparser.setFileCache(fileCache);
parser.setExpressionCache(exprCache);
parser.setMemoryCache(memCache);

3. Monitor performance continuously

// Set up continuous monitoring
PerformanceMonitor monitor = new PerformanceMonitor();
MetricsCollector collector = new MetricsCollector();
parser.setPerformanceMonitor(monitor);
parser.setMetricsCollector(collector);// Monitor in background
ScheduledExecutorService scheduler = Executors.newScheduledThreadPool(1);
scheduler.scheduleAtFixedRate(() -> {
    Map<String, Object> metrics = collector.getCurrentMetrics();
    logPerformanceMetrics(metrics);
}, 0, 60, TimeUnit.SECONDS);

📚 Next Steps

1. Master performance monitoring - Understand all performance metrics and monitoring tools 2. Implement caching strategies - Use appropriate caching for different scenarios 3. Optimize memory usage - Reduce memory footprint and improve efficiency 4. Use parallel processing - Leverage multi-threading for better performance 5. Continuous optimization - Monitor and optimize performance continuously

---

"We don't bow to any king" - You now have complete mastery of TuskLang performance optimization in Java! From basic performance monitoring to advanced optimization techniques, you can build high-performance configuration systems that scale efficiently.

← Back to Java Documentation View All Docs →