Skip to main content

A Python library for connecting to various databases.

Project description

db-connector-kr

db-connector-kr is a Python library designed to simplify database interactions across multiple DBMS platforms. It provides a consistent interface for executing queries, retrieving results as pandas DataFrames, and inserting data efficiently.

Supported DBMS

The following DBMS platforms are considered:

  • PostgreSQL (Supported)
  • Snowflake (Supported)
  • MySQL (Supported)
  • Microsoft SQL Server (MSSQL) (Planned)
  • Oracle (Planned)

Currently, only PostgreSQL, Snowflake, and MySQL are fully supported. MSSQL and Oracle support are planned for future updates.


Installation

Install db-connector-kr via pip (once published to PyPI): pip install db-connector-kr


Features

  1. Database Connection
  • Automatically handles database connection initialization and validation.
  1. Query Execution
  • Retrieve results as pandas DataFrames (read_to_df).
  • Execute DML queries such as INSERT, UPDATE, or DELETE (execution_query).
  1. DataFrame Insertion
  • Insert pandas DataFrames into database tables efficiently (insert_df)

Usage

  1. Initialization
from db_connector import DBConnector

# Initialize the connector for PostgreSQL
config = {
    "dbms": "pg",
    "user": "your_username",
    "pw": "your_password",
    "dbname": "your_database",
    "host": "localhost",
    "port": 5432
}

connector = DBConnector(**config)
  1. Retrieve Data as DataFrame
query = "SELECT * FROM your_table;"
df = connector.read_to_df(query)
print(df.head())
  1. Execute DML Queries
query = "INSERT INTO your_table (id, name) VALUES (1, 'Alice');"
connector.execution_query(query)
  1. Insert DataFrame into a Table
import pandas as pd

# Example DataFrame
data = {"id": [1, 2], "name": ["Alice", "Bob"]}
df = pd.DataFrame(data)

# Insert into the table
connector.insert_df(df, table="your_table")
  1. Close Connection
connector.close()

Planned Features

  • Support for Microsoft SQL Server (MSSQL).
  • Support for Oracle.
  • Enhanced error handling and logging.

Contributing

Contributions are welcome! If you would like to contribute, please:

  1. Fork the repository.
  2. Create a new branch for your feature or bugfix.
  3. Submit a pull request with detailed information about your changes.

License

This project is licensed under the MIT License.


Contact

For any inquiries or issues, please create an issue in the repository or contact the maintainer directly.

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

db_connector_kr-0.1.0.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

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

db_connector_kr-0.1.0-py3-none-any.whl (5.2 kB view details)

Uploaded Python 3

File details

Details for the file db_connector_kr-0.1.0.tar.gz.

File metadata

  • Download URL: db_connector_kr-0.1.0.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for db_connector_kr-0.1.0.tar.gz
Algorithm Hash digest
SHA256 8ec4796ea41f9ab9d25197fa145a3c9d968b2c4c13d5139a00244e3bf3a04411
MD5 945c37788d365b923ed3875bfc1ab837
BLAKE2b-256 af561625644d7e4a18af5edebde12b5e6080bae43cc1a4cb2b0801bbb88fb430

See more details on using hashes here.

File details

Details for the file db_connector_kr-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for db_connector_kr-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bbebec6dd4459461bc659a83f500325b79ee3f87d70a3ebe2c9b758240a2a0c4
MD5 510b6b10a0a61414c57b507578acd6ca
BLAKE2b-256 e105c3b20624c81d7abf0c7016b37e0d349972c78eccb813df7034f34f51dd92

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