☕ ⚡ @ Operator Performance in TuskLang Java
⚡ @ Operator Performance in TuskLang Java
"We don't bow to any king" - Optimize performance like a Java master
TuskLang Java provides enterprise-grade @ operator performance optimization capabilities that integrate seamlessly with Spring Boot, JPA, and modern Java patterns. Optimize, cache, and monitor performance with advanced profiling and tuning capabilities.
🎯 Overview
@ operator performance in TuskLang Java combines the power of Java's performance optimization techniques with TuskLang's dynamic configuration system. From caching strategies to query optimization, we'll show you how to build high-performance, scalable configurations.
🔧 Core Performance Features
1. Basic Performance Optimization
import org.tusklang.java.TuskLang;
import org.tusklang.java.performance.TuskOperatorPerformanceOptimizer;
import java.util.Map;
import java.util.List;public class OperatorPerformanceExample {
public static void main(String[] args) {
TuskLang parser = new TuskLang();
String tskContent = """
[performance_examples]
# Basic performance optimization with @ operators
cached_environment: @env("API_KEY", "default_value")
.cache("1h")
.lazy()
cached_database_query: @query("SELECT COUNT(*) FROM users")
.toInteger()
.cache("5m")
.lazy()
optimized_date_operation: @date.subtract("30d")
.format("Y-m-d")
.cache("1d")
.lazy()
[spring_boot_performance]
# Spring Boot integration with performance optimization
app_config: {
name: @env("APP_NAME", "TuskLang App")
.cache("1h")
.lazy()
port: @env("SERVER_PORT", "8080")
.toInteger()
.cache("1h")
.lazy()
database: {
url: @env("DATABASE_URL")
.cache("1h")
.lazy()
credentials: {
username: @env("DB_USERNAME")
.cache("1h")
.lazy()
password: @env("DB_PASSWORD")
.cache("1h")
.lazy()
}
}
}
[jpa_performance]
# JPA integration with performance optimization
entity_config: {
user_count: @query("SELECT COUNT(*) FROM users")
.toInteger()
.cache("5m")
.lazy()
active_users: @query("SELECT COUNT(*) FROM users WHERE active = ?", true)
.toInteger()
.cache("5m")
.lazy()
recent_orders: @query("""
SELECT
COUNT(*) as order_count,
SUM(total) as total_revenue
FROM orders
WHERE created_at > ?
""", @date.subtract("30d"))
.first()
.cache("10m")
.lazy()
}
""";
Map<String, Object> config = parser.parse(tskContent);
// Access optimized results
System.out.println("Cached environment: " + config.get("cached_environment"));
System.out.println("Cached database query: " + config.get("cached_database_query"));
System.out.println("Optimized date operation: " + config.get("optimized_date_operation"));
}
}
2. Advanced Performance Patterns
import org.tusklang.java.TuskLang;
import org.tusklang.java.performance.TuskOperatorPerformanceOptimizer;
import org.springframework.stereotype.Service;
import org.springframework.beans.factory.annotation.Autowired;
import javax.persistence.EntityManager;
import java.util.Map;
import java.util.List;@Service
public class AdvancedPerformanceService {
@Autowired
private EntityManager entityManager;
@Autowired
private TuskLang tuskParser;
public Map<String, Object> processWithPerformanceOptimization() {
String tskContent = """
[advanced_performance]
# Multi-level performance optimization
optimized_analytics: {
user_analytics: {
demographics: @query("""
SELECT
CASE
WHEN age < 25 THEN '18-24'
WHEN age < 35 THEN '25-34'
WHEN age < 45 THEN '35-44'
ELSE '45+'
END as age_group,
COUNT(*) as count
FROM users
WHERE created_at > ?
GROUP BY age_group
ORDER BY count DESC
""", @date.subtract("90d"))
.cache("15m")
.lazy()
.optimize("index:users_age_created_at")
locations: @query("""
SELECT
country,
COUNT(*) as user_count,
AVG(age) as avg_age
FROM users
WHERE country IS NOT NULL
GROUP BY country
HAVING COUNT(*) > ?
ORDER BY user_count DESC
LIMIT ?
""", 10, 20)
.cache("30m")
.lazy()
.optimize("index:users_country")
}
order_analytics: {
revenue_stats: @query("""
SELECT
DATE(created_at) as date,
COUNT(*) as order_count,
SUM(total) as daily_revenue,
AVG(total) as avg_order_value
FROM orders
WHERE created_at > ?
GROUP BY DATE(created_at)
ORDER BY date DESC
LIMIT ?
""", @date.subtract("30d"), 100)
.cache("10m")
.lazy()
.optimize("index:orders_created_at_total")
top_products: @query("""
SELECT
p.name,
COUNT(oi.id) as order_count,
SUM(oi.quantity * oi.price) as total_revenue
FROM products p
JOIN order_items oi ON p.id = oi.product_id
JOIN orders o ON oi.order_id = o.id
WHERE o.created_at > ?
GROUP BY p.id, p.name
ORDER BY total_revenue DESC
LIMIT ?
""", @date.subtract("60d"), 50)
.cache("20m")
.lazy()
.optimize("index:orders_created_at,order_items_product_id")
}
}
# Parallel processing optimization
parallel_processing: @parallel([
@query("SELECT COUNT(*) FROM users").cache("5m"),
@query("SELECT COUNT(*) FROM orders").cache("5m"),
@query("SELECT COUNT(*) FROM products").cache("5m")
])
.cache("10m")
.lazy()
# Batch processing optimization
batch_processing: @batch(1000, """
@query("SELECT * FROM users WHERE active = 1")
.map(user -> {
user.put("last_login_days", @date.diff(user.get("last_login"), @date.now(), "days"));
return user;
})
.filter(user -> user.get("last_login_days") > 30)
""")
.cache("30m")
.lazy()
""";
return tuskParser.parse(tskContent);
}
public Map<String, Object> processQueryOptimization() {
String tskContent = """
[query_optimization]
# Query optimization strategies
optimized_queries: {
# Indexed queries
indexed_user_query: @query("""
SELECT id, email, name, created_at
FROM users
WHERE email = ? AND active = ?
""", "user@example.com", true)
.optimize("index:users_email_active")
.cache("5m")
.lazy()
# Paginated queries
paginated_orders: @query("""
SELECT id, user_id, total, status, created_at
FROM orders
WHERE status = ?
ORDER BY created_at DESC
LIMIT ? OFFSET ?
""", "completed", 50, 0)
.optimize("index:orders_status_created_at")
.cache("2m")
.lazy()
# Aggregated queries
aggregated_stats: @query("""
SELECT
COUNT(*) as total_orders,
SUM(total) as total_revenue,
AVG(total) as avg_order_value,
MIN(total) as min_order_value,
MAX(total) as max_order_value
FROM orders
WHERE created_at > ?
""", @date.subtract("7d"))
.optimize("index:orders_created_at_total")
.cache("5m")
.lazy()
}
# Connection pooling optimization
connection_pooling: {
max_connections: @env("DB_MAX_CONNECTIONS", "20").toInteger()
min_connections: @env("DB_MIN_CONNECTIONS", "5").toInteger()
connection_timeout: @env("DB_CONNECTION_TIMEOUT", "30000").toInteger()
idle_timeout: @env("DB_IDLE_TIMEOUT", "600000").toInteger()
max_lifetime: @env("DB_MAX_LIFETIME", "1800000").toInteger()
}
""";
return tuskParser.parse(tskContent);
}
}
3. Spring Boot Integration
import org.tusklang.java.TuskLang;
import org.tusklang.java.performance.TuskOperatorPerformanceOptimizer;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.cache.annotation.EnableCaching;
import java.util.Map;@SpringBootApplication
@EnableCaching
public class PerformanceApplication {
public static void main(String[] args) {
SpringApplication.run(PerformanceApplication.class, args);
}
}
@Configuration
public class PerformanceConfig {
@Bean
public TuskLang tuskLang() {
return new TuskLang();
}
@Bean
public TuskOperatorPerformanceOptimizer performanceOptimizer() {
return new TuskOperatorPerformanceOptimizer();
}
@Bean
@ConfigurationProperties(prefix = "tusk.performance")
public PerformanceProperties performanceProperties() {
return new PerformanceProperties();
}
@Bean
public Map<String, Object> performanceConfiguration() {
TuskLang parser = new TuskLang();
String tskContent = """
[spring_performance]
# Spring Boot configuration with performance optimization
application: {
info: {
name: @env("SPRING_APPLICATION_NAME", "TuskLang App")
.cache("1h")
.lazy()
version: @env("APP_VERSION", "1.0.0")
.cache("1h")
.lazy()
}
server: {
port: @env("SERVER_PORT", "8080")
.toInteger()
.cache("1h")
.lazy()
host: @env("SERVER_HOST", "localhost")
.cache("1h")
.lazy()
}
database: {
primary: {
url: @env("DATABASE_URL")
.cache("1h")
.lazy()
username: @env("DB_USERNAME")
.cache("1h")
.lazy()
password: @env("DB_PASSWORD")
.cache("1h")
.lazy()
connection_pool: {
max_size: @env("DB_MAX_POOL_SIZE", "20")
.toInteger()
.cache("1h")
.lazy()
min_size: @env("DB_MIN_POOL_SIZE", "5")
.toInteger()
.cache("1h")
.lazy()
timeout: @env("DB_CONNECTION_TIMEOUT", "30000")
.toInteger()
.cache("1h")
.lazy()
}
}
}
cache: {
redis: {
host: @env("REDIS_HOST", "localhost")
.cache("1h")
.lazy()
port: @env("REDIS_PORT", "6379")
.toInteger()
.cache("1h")
.lazy()
database: @env("REDIS_DB", "0")
.toInteger()
.cache("1h")
.lazy()
ttl: @env("REDIS_TTL", "3600")
.toInteger()
.cache("1h")
.lazy()
}
}
monitoring: {
metrics: {
enabled: @env("METRICS_ENABLED", "true")
.toBoolean()
.cache("1h")
.lazy()
endpoint: @env("METRICS_ENDPOINT", "/actuator/metrics")
.cache("1h")
.lazy()
}
performance: {
profiling: @env("PERFORMANCE_PROFILING", "true")
.toBoolean()
.cache("1h")
.lazy()
sampling_rate: @env("PERFORMANCE_SAMPLING_RATE", "0.1")
.toFloat()
.cache("1h")
.lazy()
}
}
}
""";
return parser.parse(tskContent);
}
}
@Component
public class PerformanceProperties {
private boolean enableCaching = true;
private boolean enableLazyLoading = true;
private boolean enableQueryOptimization = true;
private boolean enableConnectionPooling = true;
private int defaultCacheTtl = 300;
private int maxCacheSize = 1000;
// Getters and setters
public boolean isEnableCaching() { return enableCaching; }
public void setEnableCaching(boolean enableCaching) { this.enableCaching = enableCaching; }
public boolean isEnableLazyLoading() { return enableLazyLoading; }
public void setEnableLazyLoading(boolean enableLazyLoading) { this.enableLazyLoading = enableLazyLoading; }
public boolean isEnableQueryOptimization() { return enableQueryOptimization; }
public void setEnableQueryOptimization(boolean enableQueryOptimization) { this.enableQueryOptimization = enableQueryOptimization; }
public boolean isEnableConnectionPooling() { return enableConnectionPooling; }
public void setEnableConnectionPooling(boolean enableConnectionPooling) { this.enableConnectionPooling = enableConnectionPooling; }
public int getDefaultCacheTtl() { return defaultCacheTtl; }
public void setDefaultCacheTtl(int defaultCacheTtl) { this.defaultCacheTtl = defaultCacheTtl; }
public int getMaxCacheSize() { return maxCacheSize; }
public void setMaxCacheSize(int maxCacheSize) { this.maxCacheSize = maxCacheSize; }
}
4. Performance Monitoring and Profiling
import org.tusklang.java.TuskLang;
import org.tusklang.java.performance.TuskOperatorPerformanceOptimizer;
import org.springframework.stereotype.Service;
import java.util.Map;
import java.util.List;@Service
public class PerformanceMonitoringService {
private final TuskLang tuskParser;
public PerformanceMonitoringService(TuskLang tuskParser) {
this.tuskParser = tuskParser;
}
public Map<String, Object> monitorPerformance() {
String tskContent = """
[performance_monitoring]
# Performance metrics and monitoring
performance_metrics: {
query_performance: @metrics("query_performance_ms",
@time_execution("""
@query("SELECT * FROM users WHERE active = 1")
.limit(1000)
.toJson()
""")
)
cache_performance: @metrics("cache_performance_ms",
@time_execution("""
@cache("5m", @query("SELECT COUNT(*) FROM users"))
""")
)
environment_performance: @metrics("env_performance_ms",
@time_execution("""
@env("API_KEY", "default")
.cache("1h")
.lazy()
""")
)
}
# Performance profiling
performance_profiling: {
slow_queries: @profile("slow_queries", """
@query("""
SELECT
u.id,
u.email,
u.name,
COUNT(o.id) as order_count,
SUM(o.total) as total_spent
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
WHERE u.created_at > ?
GROUP BY u.id, u.email, u.name
ORDER BY total_spent DESC
LIMIT 100
""", @date.subtract("90d"))
""")
cache_hit_ratio: @metrics("cache_hit_ratio",
@cache_stats("hit_ratio")
)
memory_usage: @metrics("memory_usage_mb",
@memory_usage()
)
}
# Performance alerts
performance_alerts: {
slow_query_alert: @alert("slow_query", """
@query("SELECT * FROM large_table")
.timeout(5000)
.catch(error -> {
@metrics("slow_query_alert", 1);
return null;
})
""")
high_memory_alert: @alert("high_memory", """
@memory_usage()
.validate(usage -> usage < 1024, "High memory usage detected")
""")
cache_miss_alert: @alert("cache_miss", """
@cache_stats("miss_ratio")
.validate(ratio -> ratio < 0.1, "High cache miss ratio")
""")
}
""";
return tuskParser.parse(tskContent);
}
public Map<String, Object> generatePerformanceReport() {
String tskContent = """
[performance_report]
# Performance report generation
performance_report: {
summary: {
total_queries: @metrics("total_queries", 0)
avg_query_time: @metrics("avg_query_time_ms", 0)
cache_hit_ratio: @metrics("cache_hit_ratio", 0)
memory_usage: @metrics("memory_usage_mb", 0)
slow_queries: @metrics("slow_queries", 0)
}
top_slow_queries: @query("""
SELECT
query_text,
execution_time,
execution_count,
avg_execution_time
FROM query_performance_log
WHERE created_at > ?
ORDER BY avg_execution_time DESC
LIMIT 10
""", @date.subtract("24h"))
.cache("5m")
.lazy()
cache_performance: {
hit_ratio: @cache_stats("hit_ratio")
miss_ratio: @cache_stats("miss_ratio")
eviction_count: @cache_stats("eviction_count")
memory_usage: @cache_stats("memory_usage")
}
recommendations: @generate_recommendations([
@analyze_query_performance(),
@analyze_cache_performance(),
@analyze_memory_usage()
])
}
""";
return tuskParser.parse(tskContent);
}
}
5. Caching Strategies
import org.tusklang.java.TuskLang;
import org.tusklang.java.performance.TuskOperatorPerformanceOptimizer;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;
import java.util.Map;
import java.util.List;@Service
public class CachingStrategyService {
private final TuskLang tuskParser;
public CachingStrategyService(TuskLang tuskParser) {
this.tuskParser = tuskParser;
}
@Cacheable("caching_strategies")
public Map<String, Object> implementCachingStrategies() {
String tskContent = """
[caching_strategies]
# Multi-level caching strategies
multi_level_caching: {
# L1 Cache (Memory)
l1_cache: @cache("1m", """
@query("SELECT id, email, name FROM users WHERE active = 1")
.limit(100)
""")
# L2 Cache (Redis)
l2_cache: @cache("5m", """
@query("SELECT * FROM users WHERE active = 1")
.limit(1000)
""")
# L3 Cache (Database)
l3_cache: @cache("30m", """
@query("SELECT COUNT(*) FROM users WHERE active = 1")
""")
}
# Cache invalidation strategies
cache_invalidation: {
user_cache: @cache("10m", """
@query("SELECT * FROM users WHERE id = ?", @env("USER_ID"))
""")
.invalidate_on([
"users.update",
"users.delete"
])
order_cache: @cache("5m", """
@query("SELECT * FROM orders WHERE user_id = ?", @env("USER_ID"))
""")
.invalidate_on([
"orders.create",
"orders.update",
"orders.delete"
])
}
# Cache warming strategies
cache_warming: {
popular_queries: @cache_warm([
"@query('SELECT COUNT(*) FROM users')",
"@query('SELECT COUNT(*) FROM orders')",
"@query('SELECT COUNT(*) FROM products')"
], "5m")
user_data: @cache_warm([
"@query('SELECT * FROM users WHERE active = 1 LIMIT 100')",
"@query('SELECT * FROM orders WHERE status = \\'completed\\' LIMIT 100')"
], "10m")
}
# Cache optimization
cache_optimization: {
# Compressed cache
compressed_data: @query("SELECT * FROM large_table")
.compress()
.cache("1h")
# Serialized cache
serialized_data: @query("SELECT * FROM users")
.serialize("json")
.cache("30m")
# Partitioned cache
partitioned_data: @query("SELECT * FROM orders")
.partition("user_id")
.cache("15m")
}
""";
return tuskParser.parse(tskContent);
}
}
🚀 Best Practices
1. Performance Optimization Organization
// ✅ Good: Clear, structured performance optimization
String goodOptimization = """
user_data: @query("SELECT * FROM users WHERE active = 1")
.limit(100)
.cache("5m")
.lazy()
.optimize("index:users_active")
""";// ❌ Bad: No performance optimization
String badOptimization = """
user_data: @query("SELECT * FROM users WHERE active = 1")
""";
2. Caching Strategies
// ✅ Good: Appropriate caching strategy
String goodCaching = """
frequently_accessed: @query("SELECT COUNT(*) FROM users")
.cache("5m")
.lazy()
rarely_changed: @env("API_KEY")
.cache("1h")
.lazy()
expensive_operation: @query("SELECT * FROM large_table")
.cache("30m")
.compress()
.lazy()
""";// ❌ Bad: Inappropriate caching
String badCaching = """
frequently_accessed: @query("SELECT COUNT(*) FROM users")
.cache("1h")
rarely_changed: @env("API_KEY")
.cache("1m")
expensive_operation: @query("SELECT * FROM large_table")
.cache("1m")
""";
3. Query Optimization
// ✅ Good: Optimized queries
String goodQueries = """
optimized_query: @query("""
SELECT id, email, name
FROM users
WHERE active = ? AND created_at > ?
ORDER BY created_at DESC
LIMIT ?
""", true, @date.subtract("30d"), 100)
.optimize("index:users_active_created_at")
.cache("5m")
.lazy()
""";// ❌ Bad: Unoptimized queries
String badQueries = """
unoptimized_query: @query("SELECT * FROM users")
.filter(user -> user.get("active") == true)
.limit(100)
""";
🔧 Integration Examples
Spring Boot Configuration
@Configuration
@EnableCaching
public class PerformanceConfiguration {
@Bean
@ConfigurationProperties(prefix = "tusk.performance")
public PerformanceProperties performanceProperties() {
return new PerformanceProperties();
}
@Bean
public TuskOperatorPerformanceOptimizer tuskOperatorPerformanceOptimizer() {
return new TuskOperatorPerformanceOptimizer();
}
}@Component
public class PerformanceProperties {
private boolean enableCaching = true;
private boolean enableLazyLoading = true;
private boolean enableQueryOptimization = true;
private boolean enableConnectionPooling = true;
private int defaultCacheTtl = 300;
private int maxCacheSize = 1000;
// Getters and setters
public boolean isEnableCaching() { return enableCaching; }
public void setEnableCaching(boolean enableCaching) { this.enableCaching = enableCaching; }
public boolean isEnableLazyLoading() { return enableLazyLoading; }
public void setEnableLazyLoading(boolean enableLazyLoading) { this.enableLazyLoading = enableLazyLoading; }
public boolean isEnableQueryOptimization() { return enableQueryOptimization; }
public void setEnableQueryOptimization(boolean enableQueryOptimization) { this.enableQueryOptimization = enableQueryOptimization; }
public boolean isEnableConnectionPooling() { return enableConnectionPooling; }
public void setEnableConnectionPooling(boolean enableConnectionPooling) { this.enableConnectionPooling = enableConnectionPooling; }
public int getDefaultCacheTtl() { return defaultCacheTtl; }
public void setDefaultCacheTtl(int defaultCacheTtl) { this.defaultCacheTtl = defaultCacheTtl; }
public int getMaxCacheSize() { return maxCacheSize; }
public void setMaxCacheSize(int maxCacheSize) { this.maxCacheSize = maxCacheSize; }
}
JPA Integration
@Repository
public class PerformanceRepository {
@PersistenceContext
private EntityManager entityManager;
public List<Map<String, Object>> processOptimizedQuery(String tskQuery) {
// Process TuskLang query with performance optimization
TuskLang parser = new TuskLang();
Map<String, Object> result = parser.parse(tskQuery);
// Execute the optimized query
String sql = (String) result.get("sql");
List<Object> parameters = (List<Object>) result.get("parameters");
Query query = entityManager.createNativeQuery(sql);
for (int i = 0; i < parameters.size(); i++) {
query.setParameter(i + 1, parameters.get(i));
}
// Set query hints for optimization
query.setHint("org.hibernate.comment", "Optimized query");
query.setHint("org.hibernate.fetchSize", 50);
return query.getResultList();
}
}📊 Performance Metrics
Performance Comparison
@Service
public class PerformanceComparisonService {
public void benchmarkPerformance() {
// Unoptimized query: ~100ms
String unoptimizedQuery = "@query('SELECT * FROM users')";
// Optimized query: ~20ms
String optimizedQuery = """
@query("SELECT id, email, name FROM users WHERE active = 1")
.limit(100)
.cache("5m")
.lazy()
.optimize("index:users_active")
""";
// Cached query: ~5ms
String cachedQuery = """
@query("SELECT COUNT(*) FROM users")
.cache("5m")
.lazy()
""";
// Parallel query: ~30ms
String parallelQuery = """
@parallel([
"@query('SELECT COUNT(*) FROM users')",
"@query('SELECT COUNT(*) FROM orders')",
"@query('SELECT COUNT(*) FROM products')"
])
.cache("10m")
""";
}
}🔒 Security Considerations
Secure Performance Optimization
@Service
public class SecurePerformanceService {
public Map<String, Object> processSecureOptimization() {
String tskContent = """
[secure_performance]
# Secure performance optimization
secure_optimization: {
# Rate-limited queries
rate_limited_query: @query("SELECT * FROM users WHERE id = ?", @env("USER_ID"))
.rate_limit("100/minute")
.cache("5m")
.lazy()
# Timeout protection
timeout_protected_query: @query("SELECT * FROM large_table")
.timeout(5000)
.cache("10m")
.lazy()
# Memory-bounded operations
memory_bounded_query: @query("SELECT * FROM users")
.limit(1000)
.memory_limit("100MB")
.cache("5m")
.lazy()
}
# Performance monitoring with security
secure_monitoring: {
query_performance: @metrics("secure_query_performance_ms",
@time_execution("""
@query("SELECT * FROM users WHERE id = ?", @env("USER_ID"))
.validate(user -> user != null, "User not found")
.cache("5m")
""")
)
}
""";
return tuskParser.parse(tskContent);
}
}🎯 Summary
@ operator performance in TuskLang Java provides:
- Caching Strategies: Multi-level caching with intelligent invalidation - Query Optimization: Index hints and query optimization - Lazy Loading: Deferred execution for better performance - Parallel Processing: Concurrent execution of operations - Performance Monitoring: Real-time performance metrics and profiling - Spring Boot Integration: Seamless integration with Spring applications - Connection Pooling: Optimized database connection management - Memory Management: Efficient memory usage and garbage collection
Master @ operator performance to create high-performance, scalable configurations that deliver optimal performance while maintaining enterprise-grade reliability and security.