Skip to main content

Python bindings for DBX high-performance database

Project description

dbx-py

PyPI License Guide

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 License — for open-source projects
  • Commercial License — for proprietary/commercial use

See LICENSE for details.

For commercial licensing inquiries, contact: ByteLogicCore

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dbx_py-0.0.6b0.tar.gz (3.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dbx_py-0.0.6b0-py3-none-any.whl (5.8 MB view details)

Uploaded Python 3

File details

Details for the file dbx_py-0.0.6b0.tar.gz.

File metadata

  • Download URL: dbx_py-0.0.6b0.tar.gz
  • Upload date:
  • Size: 3.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for dbx_py-0.0.6b0.tar.gz
Algorithm Hash digest
SHA256 689e55cc574b67fb6437f4b1daa205135b347b77586bb7ada7e0e708e068175a
MD5 30e1003977793c78a399e9f4d84d3a8f
BLAKE2b-256 9cc8cddcb277ffcc973bc753a0d482c201bfa4af98cee893c9a91f30c11f5682

See more details on using hashes here.

File details

Details for the file dbx_py-0.0.6b0-py3-none-any.whl.

File metadata

  • Download URL: dbx_py-0.0.6b0-py3-none-any.whl
  • Upload date:
  • Size: 5.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for dbx_py-0.0.6b0-py3-none-any.whl
Algorithm Hash digest
SHA256 7d6afad4b03de673dd0d48559238ea7d3d1e84fc3eff959ca749e0de109fe405
MD5 5557e130f0924f03b91f2e62b650fb48
BLAKE2b-256 92211c4c9747afdcb4479ec216911c0c685ecaf8c91f01d7aa7a82011abebd45

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page