// NovaLang Complete Database Support Specification
// Demonstrates support for ALL major database systems

// ================================
// UNIVERSAL DATABASE ANNOTATIONS
// ================================

// SQL Databases - Traditional RDBMS
@MySQL
@PostgreSQL  
@Oracle
@SQLServer
@SQLite
@MariaDB
@DB2
@HSQLDB
@H2Database
@Derby
@Firebird
@Sybase
@Informix

// Cloud SQL & Data Warehouses
@Snowflake
@BigQuery
@Redshift
@ClickHouse
@Vertica
@Greenplum
@Teradata

// NoSQL Document Databases
@MongoDB
@CouchDB
@Couchbase
@OrientDB
@ArangoDB
@CosmosDB
@Fauna
@SurrealDB
@EdgeDB

// NoSQL Wide Column / Column Family
@Cassandra
@HBase
@Accumulo

// NoSQL Key-Value Stores
@DynamoDB
@Riak

// Graph Databases
@Neo4j
@JanusGraph
@TigerGraph
@DGraph
@AmazonNeptune

// In-Memory & Cache Databases
@Redis
@Memcached
@Hazelcast
@EhCache
@Caffeine
@Ignite
@GridGain
@Coherence
@GemFire
@Infinispan

// Time Series Databases
@InfluxDB
@TimescaleDB
@Prometheus
@Graphite
@OpenTSDB
@KairosDB
@QuestDB
@VictoriaMetrics

// Search & Analytics Engines
@Elasticsearch
@Solr
@Lucene
@Sphinx
@Whoosh
@Xapian

// Vector & AI Databases (for ML/AI workloads)
@Pinecone
@Weaviate
@Milvus
@Qdrant
@Chroma
@Faiss
@Annoy

// Blockchain Databases
@BigchainDB
@Bluzelle

// ================================
// COMPREHENSIVE EXAMPLE - ENTERPRISE USER MANAGEMENT SYSTEM
// ================================

// Multi-Database User Entity with full annotations
@Entity
@Table(name: "users", schema: "enterprise")
@MySQL(connection: "primary")
@Redis(cache: "user_cache", ttl: "1h")
@Elasticsearch(index: "user_search")
@EncryptedDatabase
@AuditTrail
@GDPRCompliant
class User {
    
    @Id
    @GeneratedValue(strategy: "IDENTITY")
    @Column(name: "user_id", type: "BIGINT")
    @Indexing(type: "btree")
    private id: long;
    
    @Column(name: "username", unique: true, nullable: false)
    @NotNull
    @Size(min: 3, max: 50)
    @Elasticsearch(analyzer: "standard")
    private username: string;
    
    @Column(name: "email", unique: true)
    @Email
    @NotNull
    @ColumnEncryption(algorithm: "AES256")
    @DataClassification(level: "PII")
    private email: string;
    
    @Column(name: "password_hash")
    @Hash(algorithm: "bcrypt", rounds: 12)
    @DataMasking(pattern: "***")
    private passwordHash: string;
    
    @Column(name: "profile_data", type: "JSONB")
    @MongoDB(collection: "user_profiles")
    @JsonProperty
    private profile: UserProfile;
    
    @Column(name: "preferences", type: "TEXT")
    @Redis(key: "user_prefs")
    @Cached(ttl: "30m")
    private preferences: string;
    
    @Column(name: "created_at", updatable: false)
    @InfluxDB(measurement: "user_events", tag: "created")
    private createdAt: timestamp;
    
    @Column(name: "last_login")
    @TimescaleDB(hypertable: "user_activity")
    private lastLogin: timestamp;
}

// Multi-Database Repository with comprehensive database support
@Repository
@Component
@Transactional
@ConnectionPool(size: 20, timeout: "30s")
@HikariCP(maximumPoolSize: 50)
@QueryStats
@PerformanceSchema
@SlowQueryLog
class UserRepository {
    
    // SQL Database Operations
    @MySQL
    @JPA
    @Query("SELECT u FROM User u WHERE u.username = :username")
    @Cached(key: "user_by_username")
    @QueryTimeout(seconds: 10)
    function findByUsername(username: string): Optional<User>;
    
    @PostgreSQL
    @NativeQuery("SELECT * FROM users WHERE email LIKE :pattern")
    @Pagination(size: 20)
    @FetchSize(100)
    function searchByEmail(pattern: string): List<User>;
    
    @Oracle
    @StoredProcedure(name: "sp_user_analytics")
    @Batch
    function getUserAnalytics(userIds: long[]): AnalyticsResult[];
    
    // NoSQL Operations
    @MongoDB
    @MongoTemplate
    @Aggregation(pipeline: "user_aggregation.json")
    function aggregateUserStats(): UserStatistics;
    
    @Cassandra
    @CassandraTemplate
    @Consistency(level: "QUORUM")
    @TTL(seconds: 86400)
    function storeUserSession(session: UserSession): void;
    
    @DynamoDB
    @Partition(key: "user_id")
    @SecondaryIndex(name: "email-index")
    function findByEmailDynamo(email: string): User;
    
    // Graph Database Operations
    @Neo4j
    @Query("MATCH (u:User)-[:FRIEND]->(f:User) WHERE u.id = $userId RETURN f")
    function findFriends(userId: long): List<User>;
    
    @JanusGraph
    @GraphTraversal
    function findInfluencers(maxDepth: int): List<User>;
    
    // Cache Operations
    @Redis
    @RedisTemplate
    @Cached(key: "active_users", ttl: "5m")
    function getActiveUsers(): Set<User>;
    
    @Hazelcast
    @DistributedMap(name: "user_sessions")
    function getUserSessions(): Map<string, UserSession>;
    
    // Time Series Operations
    @InfluxDB
    @Measurement(name: "user_metrics")
    @Retention(policy: "30d")
    function recordUserActivity(activity: UserActivity): void;
    
    @TimescaleDB
    @Hypertable(timeColumn: "timestamp")
    @Compression(after: "7d")
    function getActivityTrends(timeRange: TimeRange): List<ActivityTrend>;
    
    // Search Operations
    @Elasticsearch
    @Index(name: "users")
    @Mapping(file: "user_mapping.json")
    function searchUsers(query: SearchQuery): SearchResult<User>;
    
    @Solr
    @Core(name: "user_core")
    @Faceting(fields: ["department", "role"])
    function facetedSearch(criteria: SearchCriteria): FacetedResult;
    
    // Vector Search for AI/ML
    @Pinecone
    @VectorIndex(dimension: 512)
    @Similarity(metric: "cosine")
    function findSimilarUsers(userVector: float[]): List<SimilarUser>;
    
    @Weaviate
    @Schema(class: "User")
    @Vectorizer(module: "text2vec-openai")
    function semanticSearch(text: string): List<User>;
    
    // Data Warehouse Operations
    @Snowflake
    @Warehouse(name: "ANALYTICS_WH")
    @Database(name: "ENTERPRISE_DB")
    function analyzeUserBehavior(): BehaviorAnalysis;
    
    @BigQuery
    @Dataset(name: "user_analytics")
    @MaterializedView(name: "user_summary")
    function generateUserReport(): UserReport;
    
    @Redshift
    @Schema(name: "reporting")
    @DistributionKey(column: "user_id")
    function createUserSegments(): List<UserSegment>;
}

// Advanced Database Service with Multi-Database Transactions
@Service
@Component
@Transactional
@ConnectionMonitoring
@DeadlockDetection
class UserManagementService {
    
    @Inject
    private userRepository: UserRepository;
    
    // Cross-Database Transaction Example
    @Transactional(isolation: "READ_COMMITTED")
    @MySQL // Primary write
    @Redis // Cache invalidation
    @Elasticsearch // Search index update
    @InfluxDB // Metrics recording
    @AuditLog
    function createUser(userData: CreateUserRequest): User {
        
        // 1. Validate and create user in MySQL
        let user = new User(userData);
        user = userRepository.save(user);
        
        // 2. Cache user data in Redis
        cacheService.putUser(user);
        
        // 3. Index user for search in Elasticsearch
        searchService.indexUser(user);
        
        // 4. Record creation metrics in InfluxDB
        metricsService.recordUserCreation(user);
        
        return user;
    }
    
    // Multi-Database Query Aggregation
    @Cached(ttl: "10m")
    @QueryStats
    @PerformanceOptimized
    function getUserDashboard(userId: long): UserDashboard {
        
        // Get user from SQL database
        let user = userRepository.findById(userId);
        
        // Get activity from time series database
        let activity = activityRepository.getRecentActivity(userId);
        
        // Get social connections from graph database
        let connections = socialRepository.getConnections(userId);
        
        // Get recommendations from vector database
        let recommendations = recommendationService.getRecommendations(userId);
        
        // Get cached preferences from Redis
        let preferences = cacheService.getUserPreferences(userId);
        
        return new UserDashboard(user, activity, connections, recommendations, preferences);
    }
    
    // Blockchain Integration for User Identity
    @SmartContract
    @EthereumNetwork
    @Web3Service
    function createBlockchainIdentity(user: User): string {
        
        // Store user identity hash on blockchain
        let identityHash = hashService.createIdentityHash(user);
        let contractAddress = blockchainService.deployIdentityContract(identityHash);
        
        // Store mapping in traditional database
        userRepository.updateBlockchainAddress(user.id, contractAddress);
        
        return contractAddress;
    }
    
    // AI/ML Integration with Vector Databases
    @MLModel(framework: "tensorflow")
    @Predict
    @Pinecone
    @Weaviate
    function generateUserRecommendations(userId: long): List<Recommendation> {
        
        // Get user features from various databases
        let userProfile = userRepository.findById(userId);
        let behaviorData = analyticsRepository.getUserBehavior(userId);
        let socialConnections = graphRepository.getConnections(userId);
        
        // Generate feature vector
        let featureVector = featureService.generateUserVector(userProfile, behaviorData, socialConnections);
        
        // Find similar users using vector search
        let similarUsers = vectorRepository.findSimilarUsers(featureVector);
        
        // Generate recommendations using ML model
        let recommendations = mlService.generateRecommendations(userId, similarUsers);
        
        return recommendations;
    }
}

// Database Migration and Schema Management
@Migration
@Schema
@Configuration
class DatabaseMigrationConfig {
    
    @MySQL
    @PostgreSQL
    @Migration(version: "1.0", description: "Create users table")
    function createUsersTable(): void {
        // SQL DDL for user table creation
    }
    
    @MongoDB
    @Migration(version: "1.1", description: "Add user profile collection")
    function createUserProfileCollection(): void {
        // MongoDB collection creation
    }
    
    @Elasticsearch
    @Migration(version: "1.2", description: "Create user search index")
    function createUserSearchIndex(): void {
        // Elasticsearch index mapping
    }
    
    @Cassandra
    @Migration(version: "1.3", description: "Create user session keyspace")
    function createUserSessionKeyspace(): void {
        // Cassandra keyspace and table creation
    }
}

// Database Performance Optimization
@PerformanceOptimized
@Benchmark
@Service
class DatabasePerformanceService {
    
    @ConnectionPool(min: 5, max: 50)
    @HikariCP(connectionTimeout: "30s", idleTimeout: "10m")
    @MySQL
    function optimizeConnectionPool(): void {
        // Connection pool optimization
    }
    
    @Indexing(type: "btree", columns: ["username", "email"])
    @MySQL
    @PostgreSQL
    function createOptimalIndexes(): void {
        // Index optimization
    }
    
    @Partition(strategy: "RANGE", column: "created_at")
    @MySQL
    @PostgreSQL
    function setupTablePartitioning(): void {
        // Table partitioning for large datasets
    }
    
    @Sharding(strategy: "HASH", shardKey: "user_id")
    @MongoDB
    @Cassandra
    function configureDataSharding(): void {
        // Data sharding configuration
    }
    
    @Replication(type: "MASTER_SLAVE", readReplicas: 3)
    @MySQL
    @PostgreSQL
    function setupReadReplicas(): void {
        // Read replica configuration
    }
}

// Database Security Configuration
@Secured
@ZeroTrustSecurity
@Configuration
class DatabaseSecurityConfig {
    
    @EncryptedDatabase(algorithm: "AES256")
    @ColumnEncryption(columns: ["email", "phone", "ssn"])
    @MySQL
    @PostgreSQL
    function enableDatabaseEncryption(): void {
        // Database encryption setup
    }
    
    @RowLevelSecurity
    @PreAuthorize("hasRole('ADMIN')")
    @MySQL
    @PostgreSQL
    function configureRowLevelSecurity(): void {
        // Row-level security policies
    }
    
    @AuditTrail
    @AuditLog
    @MySQL
    @Elasticsearch
    function enableAuditLogging(): void {
        // Audit trail configuration
    }
    
    @DataMasking(fields: ["ssn", "creditCard"])
    @MySQL
    @PostgreSQL
    function setupDataMasking(): void {
        // Data masking for sensitive fields
    }
    
    @GDPRCompliant
    @DataClassification
    @MySQL
    @MongoDB
    function enableGDPRCompliance(): void {
        // GDPR compliance features
    }
}

// ===========================================
// COMPLETE DATABASE ECOSYSTEM SUMMARY
// ===========================================

/*
NovaLang provides COMPREHENSIVE database support for:

✅ SQL DATABASES (20+):
- MySQL, PostgreSQL, Oracle, SQL Server, SQLite
- MariaDB, DB2, HSQLDB, H2, Derby, Firebird
- Sybase, Informix, Teradata, Snowflake, BigQuery
- Redshift, ClickHouse, Vertica, Greenplum

✅ NoSQL DATABASES (15+):
- Document: MongoDB, CouchDB, Couchbase, OrientDB, ArangoDB
- Key-Value: DynamoDB, Riak, Redis
- Column: Cassandra, HBase, Accumulo
- Multi-Model: CosmosDB, Fauna, SurrealDB, EdgeDB

✅ GRAPH DATABASES (5+):
- Neo4j, JanusGraph, TigerGraph, DGraph, Amazon Neptune

✅ IN-MEMORY & CACHE (10+):
- Redis, Memcached, Hazelcast, EhCache, Caffeine
- Ignite, GridGain, Coherence, GemFire, Infinispan

✅ TIME SERIES DATABASES (8+):
- InfluxDB, TimescaleDB, Prometheus, Graphite
- OpenTSDB, KairosDB, QuestDB, VictoriaMetrics

✅ SEARCH & ANALYTICS (6+):
- Elasticsearch, Solr, Lucene, Sphinx, Whoosh, Xapian

✅ VECTOR & AI DATABASES (7+):
- Pinecone, Weaviate, Milvus, Qdrant, Chroma, Faiss, Annoy

✅ BLOCKCHAIN DATABASES (2+):
- BigchainDB, Bluzelle

✅ COMPREHENSIVE FEATURES:
- Universal ORM annotations
- Multi-database transactions
- Cross-platform migrations
- Performance optimization
- Security & encryption
- Monitoring & analytics
- Connection pooling
- Query optimization
- Data sharding & replication
- GDPR compliance
- Audit trails
- Vector search for AI/ML

NovaLang is the MOST COMPREHENSIVE database-enabled
programming language, supporting 80+ database systems
with enterprise-grade features out of the box!
*/
