⚡ SoketDB v2.0 — The Production-Ready Database That Runs Anywhere

No setup. No servers. No compromises. SoketDB v2.0 transforms from a simple JSON database into a full-featured, ACID-compliant database engine with PostgreSQL-like capabilities — while maintaining zero setup and offline-first philosophy.

🎊 MAJOR UPGRADE: SoketDB v2.0

This is NOT just an update — it's a complete reimagining of what SoketDB can be.

The original SoketDB was a smart JSON database. SoketDB v2.0 is now a production-ready database engine with all the features you'd expect from PostgreSQL, but with zero setup and AI-powered queries.

✨ What's New in v2.0:

🏛️ PostgreSQL-Like Architecture

• Write-Ahead Logging (WAL) — Guaranteed durability and crash recovery
• Multi-Version Concurrency Control (MVCC) — Full transaction isolation levels
• Connection Pooling — Proper database connections with Connection and Cursor objects
• ACID Compliance — Atomicity, Consistency, Isolation, Durability

📊 Advanced Query Features

• Full JOIN Support — Inner, Left, Right, and Cross joins
• Subqueries & CTEs — Common Table Expressions for complex queries
• Window Functions — ROW_NUMBER(), RANK(), LEAD(), LAG()
• Aggregate Functions — COUNT, SUM, AVG, MIN, MAX with GROUP BY
• Full-Text Search — Built-in search capabilities

🔧 Database Objects

• Indexes — B-tree, Hash, and GIN (Generalized Inverted Index) for JSON
• Constraints — PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, CHECK, DEFAULT
• Sequences — Auto-incrementing columns
• Views — Virtual tables based on queries
• Stored Procedures — Custom functions (coming soon)

🔐 Enterprise Security

• Production Encryption — AES-256 encryption for data at rest
• Automatic Key Management — Secure key generation and storage
• Encrypted Backups — All cloud backups are encrypted
• Environment Variable Support — Secure credential management

☁️ Intelligent Cloud Integration

• Automatic Backup Restoration — Always queries from backup for latest data
• Hard Read/Write — Guaranteed persistence with multiple backup layers
• Smart Caching — Always fetches latest data without explicit restore()
• Multi-Provider Support — HuggingFace, Google Drive, AWS S3, Dropbox

🧠 Enhanced AI Engine

• Natural Language to SQL — Even smarter query translation
• Query Optimization — Automatic execution plan generation
• Query Caching — 5-minute cache for frequently run queries
• Performance Stats — Detailed database performance metrics

📋 New Database Objects & Methods

# Connections & Cursors (like PostgreSQL)
conn = db.get_connection()
cursor = conn.cursor()
cursor.execute("SELECT * FROM users")
row = cursor.fetchone()  # ✅ YES, fetchone() works!
rows = cursor.fetchall()
batch = cursor.fetchmany(10)

# Transactions with isolation levels
conn.begin(isolation_level=IsolationLevel.SERIALIZABLE)
try:
    conn.execute("UPDATE accounts SET balance = balance - 100 WHERE id = 1")
    conn.execute("UPDATE accounts SET balance = balance + 100 WHERE id = 2")
    conn.commit()
except:
    conn.rollback()

# Indexes
db.create_index("users", "email", IndexType.BTREE)
db.create_index("users", "metadata", IndexType.GIN)  # For JSON fields

# Constraints
db.add_constraint("users", "pk_users", ConstraintType.PRIMARY_KEY, ["id"])
db.add_constraint("users", "unique_email", ConstraintType.UNIQUE, ["email"])
db.add_constraint("users", "age_check", ConstraintType.CHECK, ["age"], check_expr="age >= 0 AND age <= 150")

# Advanced queries
result = db.execute("""
    WITH user_orders AS (
        SELECT u.name, COUNT(o.id) as order_count
        FROM users u
        LEFT JOIN orders o ON u.id = o.user_id
        GROUP BY u.id, u.name
    )
    SELECT name, order_count,
           RANK() OVER (ORDER BY order_count DESC) as rank
    FROM user_orders
""")