overdrive-db 1.4.3

OverDrive-DB — High-performance embeddable hybrid SQL+NoSQL document database. ACID-compliant with 6 storage engines (Disk, RAM, Vector, Time-Series, Graph, Streaming). Features password-based encryption, auto-table creation, transaction callbacks, watchdog monitoring, and RAM engine caching.

OverDrive-DB — Python SDK v1.3.0

A high-performance, embeddable hybrid SQL+NoSQL document database. Like SQLite, but for JSON.

v1.3.0 — Security hardened: encrypted key from env, parameterized queries, auto chmod 600, encrypted backups, WAL cleanup, thread-safe wrapper.

Install

pip install overdrive-db==1.3.0

Place the native library for your platform in your project directory or on PATH:

Platform	File
Windows x64	overdrive.dll
Linux x64	liboverdrive.so
macOS ARM64	liboverdrive.dylib

Download from GitHub Releases.

Quick Start

from overdrive import OverDrive

# Open — file permissions auto-hardened (chmod 600 / Windows ACL)
with OverDrive("myapp.odb") as db:
    db.create_table("users")
    user_id = db.insert("users", {"name": "Alice", "email": "[e-mail]", "age": 30})

    # ✅ Safe parameterized query — blocks SQL injection
    results = db.query_safe("SELECT * FROM users WHERE age > ?", [25])
    for row in results:
        print(f"  {row['name']} — {row['email']}")

    # Backup + WAL cleanup
    db.backup("backups/app.odb")
    db.cleanup_wal()

Security APIs (v1.3.0)

import os
from overdrive import OverDrive, ThreadSafeOverDrive

# 🔐 Open with encryption key from env (never hardcode!)
# $env:ODB_KEY = "my-secret-32-char-key!!!!" (PowerShell)
# export ODB_KEY="my-secret-32-char-key!!!!"  (bash)
db = OverDrive.open_encrypted("app.odb", "ODB_KEY")

# 🛡️ SQL injection prevention — use query_safe() for user input
user_input = "Alice'; DROP TABLE users--"  # malicious
try:
    db.query_safe("SELECT * FROM users WHERE name = ?", [user_input])
except Exception as e:
    print(f"Blocked: {e}")  # ✅ injection blocked

# 💾 Encrypted backup (sync → copy .odb + .wal → harden perms)
db.backup("backups/app_2026-03-04.odb")

# 🗑️ WAL cleanup after commit
txn_id = db.begin_transaction(db.SERIALIZABLE)
db.insert("users", {"name": "Carol"})
db.commit_transaction(txn_id)
db.cleanup_wal()

# 🧵 Thread-safe access
with ThreadSafeOverDrive("app.odb") as safe_db:
    import threading
    threads = [threading.Thread(target=lambda: safe_db.query("SELECT * FROM users")) for _ in range(4)]
    for t in threads: t.start()
    for t in threads: t.join()

Full API

Method	Description
OverDrive(path)	Open database (auto-hardens permissions)
OverDrive.open_encrypted(path, key_env_var)	🔐 Open with key from env var
db.close()	Close the database
db.sync()	Force flush to disk
db.create_table(name)	Create a table
db.drop_table(name)	Drop a table
db.list_tables()	List all tables
db.table_exists(name)	Check if table exists
db.insert(table, doc)	Insert document, returns _id
db.insert_many(table, docs)	Batch insert
db.get(table, id)	Get by _id
db.update(table, id, updates)	Update fields
db.delete(table, id)	Delete by _id
db.count(table)	Count documents
db.scan(table)	Get all documents
db.query(sql)	Execute SQL query (trusted input only)
db.query_safe(sql, params)	✅ Parameterized query (user input safe)
db.search(table, text)	Full-text search
db.backup(dest_path)	💾 Encrypted backup
db.cleanup_wal()	🗑️ Delete stale WAL file
db.begin_transaction(isolation)	Start MVCC transaction
db.commit_transaction(txn_id)	Commit transaction
db.abort_transaction(txn_id)	Rollback transaction
db.verify_integrity()	Check database integrity
db.stats()	Database statistics
ThreadSafeOverDrive(path)	🧵 Thread-safe wrapper

Links

• Full Documentation
• GitHub
• Releases
• Security Guide

License

MIT / Apache-2.0