py-data-api is a client for Data API of Aurora Serverless. Also, the package includes SQLAlchemy Dialects and DB API 2.0 Client.
- SQLAlchemy Dialects
- DB API 2.0 compatible client PEP 249
- MySQL
- PostgreSQL
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/data-api.html
Warning: Some interface will be changed.
pydataapi requires Python 3.6.1 or later
$ pip install pydataapi
from typing import List
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from pydataapi import DataAPI, Result
class Pets(declarative_base()):
__tablename__ = 'pets'
id = Column(Integer, primary_key=True, autoincrement=True)
name = Column(String(255, collation='utf8_unicode_ci'), default=None)
database: str = 'test'
resource_arn: str = 'arn:aws:rds:us-east-1:123456789012:cluster:serverless-test-1'
secret_arn: str = 'arn:aws:secretsmanager:us-east-1:123456789012:secret:serverless-test1'
def example_driver_for_sqlalchemy():
from sqlalchemy.engine import create_engine
engine = create_engine(
'mysql+pydataapi://',
connect_args={
'resource_arn': 'arn:aws:rds:us-east-1:123456789012:cluster:dummy',
'secret_arn': 'arn:aws:secretsmanager:us-east-1:123456789012:secret:dummy',
'database': 'test'}
)
result = engine.execute("select * from pets")
print(result.fetchall())
def example_simple_execute():
data_api = DataAPI(resource_arn=resource_arn, secret_arn=secret_arn, database=database)
result: Result = data_api.execute('show tables')
print(result.scalar())
# Pets
We are waiting for your contributions to pydataapi
.
https://koxudaxi.github.io/py-data-api/contributing
DataAPI Server for local
https://github.com/koxudaxi/local-data-api
https://pypi.org/project/pydataapi
https://github.com/koxudaxi/py-data-api
https://koxudaxi.github.io/py-data-api
py-data-api is released under the MIT License. http://www.opensource.org/licenses/mit-license