badgerdb 1.0.0

Python wrapper for BadgerDB

BadgerDB Python Wrapper

This is a Python wrapper for BadgerDB, a fast and efficient key-value store written in Go. This wrapper allows Python applications to interact with BadgerDB via a shared library (libbadger.so), providing a straightforward interface for managing key-value pairs.

Features

• Insert key-value pairs: Store key-value pairs in the BadgerDB database.
• Retrieve values by key: Get values stored in the database using their corresponding keys.
• Delete key-value pairs: Remove key-value pairs from the database.
• Iterate over all keys: Retrieve a list of all keys currently stored in the database.
• Export to JSON: Dump all key-value pairs in the database into a JSON file.
• Import from JSON: Load key-value pairs from a JSON file into the database.

Installation

Using pip

You can install this package directly from PyPI using pip:

pip install badgerdb-python

This will install the Python wrapper along with the necessary dependencies, including the required libbadger.so shared library that contains the Go-based functions needed to interact with the BadgerDB.

Requirements

• Python 3.x

Usage

Basic Operations

You can use the BadgerDB wrapper to perform basic database operations like inserting, retrieving, and deleting key-value pairs.

Example: Insert, Retrieve, and Delete Key-Value Pairs

from badgerdb import BadgerDB

# Initialize the database (replace with your DB path)
db = BadgerDB("/path/to/db")

# Insert a key-value pair
db.put("Hey", "I am Badger!")

# Retrieve the value for the key 'Hey'
print(db.get("Hey"))  # Output: I am Badger!

# Delete the key-value pair for 'Hey'
db.delete("Hey")

# Close the database when done
db.close()

Iterating Over Keys

You can retrieve a list of all the keys in the database.

from badgerdb import BadgerDB

# Initialize the database
db = BadgerDB("/path/to/db")

# Insert some key-value pairs
db.put("name", "Alice")
db.put("age", "30")
db.put("city", "New York")

# Iterate over all keys
keys = db.iterate()
print(keys)  # Output: ['name', 'age', 'city']

# Close the database when done
db.close()

Exporting and Importing Data as JSON

You can export the entire database to a JSON file and later import it back into the database.

Export to JSON

from badgerdb import BadgerDB

# Initialize the database
db = BadgerDB("/path/to/db")

# Insert some data
db.put("key1", "value1")
db.put("key2", "value2")

# Export the data to a JSON file
db.dump_to_json("/path/to/output.json")

# Close the database
db.close()

Import from JSON

from badgerdb import BadgerDB

# Initialize the database
db = BadgerDB("/path/to/db")

# Import data from a JSON file
db.load_from_json("/path/to/output.json")

# Verify that the data is imported
print(db.get("key1"))  # Output: value1
print(db.get("key2"))  # Output: value2

# Close the database
db.close()

Features

• Error Handling: The wrapper will raise exceptions if there are any issues interacting with the database (e.g., attempting to access a non-existent key or failing to load data from a file).
• Data Integrity: Supports basic CRUD (Create, Read, Update, Delete) operations ensuring consistency during data manipulations.

Contributing

We welcome contributions from the community! If you'd like to contribute, follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-name).
3. Make your changes.
4. Commit your changes (git commit -am 'Add new feature').
5. Push to the branch (git push origin feature-name).
6. Create a pull request.

For larger changes or bug fixes, feel free to open an issue to discuss the proposed changes before implementing them.

Acknowledgements

This Python wrapper relies on the libbadger.so shared library for interacting with the BadgerDB database. Special thanks to the developers who created the gobadger library and its C-compatible shared library (libbadger.so) that enables this Python integration.

License

This project is licensed under the MIT License - see the LICENSE file for details.