Skip to main content

A unified cloud db package for AWS, Azure, and GCP for Queue Service

Project description

Cloud DB Connector

This package provides a flexible and secure way to establish connections to various database types, including AWS RDS, Azure SQL, Google Cloud MySQL, and local databases. It includes factory functions and connection classes, as well as helper functions to execute queries and handle database interactions with retry logic.

Package Structure

- db_manager.py        # Factory function to create DB connection based on the service type
- db_connection.py     # Interface to get DB connection
- aws_db.py            # AWS RDS MySQL connection class
- azure_db.py          # Azure SQL Database connection class
- gcp_db.py            # Google Cloud MySQL connection class
- local_db.py          # Local MySQL database connection class
- rds_execute.py       # Utility to execute SQL queries on the databases

Installation

Ensure all necessary dependencies are installed:

pip install clouddatabridge

Additional Requirements for Azure SQL Database

To connect to an Azure SQL Database, an ODBC driver is required. Install the appropriate driver for your operating system:

Follow the official installation instructions on the linked pages for your OS.

Usage

Setting Up a Database Connection

The db_manager.py file contains a factory function, create_db_connection, to create a connection based on the chosen service (local, aws, azure, gcp). You can also use the get_db_connection function in db_connection.py for easier configuration management.

from clouddatabridge.rds_execute import rds_execute

query = "SELECT * FROM person"

local_result = rds_execute(
    service="gcp",
    query=query,
    is_proxy=False,
    host="your-azure-sql-hostname",
    user="your-username",
    password="your-password",
    database="your-database",
    port=3306
    )

print(local_result)

Components Overview

db_manager.py

This module provides a factory function create_db_connection that creates the appropriate database connection object based on the specified service parameter.

  • Supported Services: local, aws, azure, gcp
  • Parameters: is_proxy, host, user, password, database, port, region (for AWS)
db_connection.py

Contains the get_db_connection function, which uses create_db_connection to return the correct connection object and handles errors gracefully.

Database-Specific Connection Classes

Each database type has its own connection class with retry logic and automatic connection handling.

  1. AWSRDSConnection (aws_db.py)

    Manages a connection to an AWS RDS MySQL database and generates an authentication token for secure access.

  2. AzureSQLConnection (azure_db.py)

    Handles connections to Azure SQL Database, supporting automatic retries. Ensure you install the ODBC driver to connect successfully.

  3. GCPMySQLConnection (gcp_db.py)

    Supports MySQL connections on Google Cloud with similar retry and connection management logic.

  4. LocalDBConnection (local_db.py)

    Provides connections to a local MySQL database.

rds_execute.py

Provides a high-level rds_execute function that executes queries across supported databases. It detects the SQL operation type and handles transactions for INSERT, UPDATE, and DELETE operations, committing changes automatically.

  • Operations Supported: SELECT, INSERT, UPDATE, DELETE
  • Parameters:
    • service: Type of database service (local, aws, azure, gcp)
    • query: SQL query to execute
    • params: Parameters for parameterized query (tuple or list of tuples for batch execution)

Error Handling

  • Connection Errors: Retries connection attempts with configurable retry delays for increased robustness.
  • Operational Errors: Prints specific messages on failure and re-raises the error if maximum retries are exceeded.

License

This package is licensed under the MIT License.

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

queue_service-0.1.4.tar.gz (6.2 kB view details)

Uploaded Source

Built Distribution

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

queue_service-0.1.4-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file queue_service-0.1.4.tar.gz.

File metadata

  • Download URL: queue_service-0.1.4.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for queue_service-0.1.4.tar.gz
Algorithm Hash digest
SHA256 0103aa32b83bcf4f5e8f8772a828b4fc24350c0c74537ab432948e8ce9338a3e
MD5 2c73d9cd6b32ec34f605db6c1bbb38d7
BLAKE2b-256 3712a215878bccbcd6d631db091843a5b9eab045ad7725ff8b3c2f03622efe79

See more details on using hashes here.

File details

Details for the file queue_service-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: queue_service-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for queue_service-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 dae2c0b85d18cb80b26f4806c5c0f5cd5d99ce22bda8f4120256fc3b557f5584
MD5 1bd758c27b3b6192fc9a8045d476033d
BLAKE2b-256 a4db4a76758e2a5045d2cc955fd65535dd1b2c377713b65f20c1bf7d380dc8ea

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