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Python bindings for DBX high-performance database

Project description

DBX Python Bindings

Python bindings for the DBX high-performance embedded database.

Installation

From Source

cd bindings/python
pip install -e .

This will automatically build the Rust FFI library and install the Python package.

Quick Start

from dbx_py import Database

# Open an in-memory database
db = Database.open_in_memory()

# Or open a file-based database
# db = Database("my_database.db")

# Insert data
db.insert("users", b"user:1", b"Alice")
db.insert("users", b"user:2", b"Bob")

# Get data
value = db.get("users", b"user:1")
print(value.decode('utf-8'))  # Output: Alice

# Count rows
count = db.count("users")
print(f"Total users: {count}")  # Output: Total users: 2

# Delete data
db.delete("users", b"user:2")

# Flush to disk
db.flush()

# Close database
db.close()

Context Manager Support

with Database("my_database.db") as db:
    db.insert("users", b"user:1", b"Alice")
    value = db.get("users", b"user:1")
    print(value.decode('utf-8'))
# Database is automatically closed

API Reference

Database(path: str)

Open a database at the specified path.

Parameters:

  • path (str): Path to the database file

Returns:

  • Database: Database instance

Database.open_in_memory() -> Database

Open an in-memory database.

Returns:

  • Database: Database instance

insert(table: str, key: bytes, value: bytes) -> None

Insert a key-value pair into a table.

Parameters:

  • table (str): Table name
  • key (bytes): Key data
  • value (bytes): Value data

Raises:

  • RuntimeError: If insertion fails

get(table: str, key: bytes) -> Optional[bytes]

Get a value by key from a table.

Parameters:

  • table (str): Table name
  • key (bytes): Key data

Returns:

  • bytes or None: Value data if found, None otherwise

Raises:

  • RuntimeError: If operation fails

delete(table: str, key: bytes) -> None

Delete a key from a table.

Parameters:

  • table (str): Table name
  • key (bytes): Key data

Raises:

  • RuntimeError: If deletion fails

count(table: str) -> int

Count rows in a table.

Parameters:

  • table (str): Table name

Returns:

  • int: Number of rows

Raises:

  • RuntimeError: If operation fails

flush() -> None

Flush database to disk.

Raises:

  • RuntimeError: If flush fails

close() -> None

Close the database and free resources.

Examples

See the examples/ directory for more examples:

  • basic_crud.py: Basic CRUD operations

Requirements

  • Python 3.8+
  • Rust toolchain (for building from source)

License

Dual-licensed under MIT or Apache-2.0.

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