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Python SQLAlchemy Dialect for JDBCAPI.

Project description

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The primary purpose of this dialect is provide JDBC connection using required driver.

Installation

Installing the dialect is straightforward:

python3 -m pip install sqlalchemy-jdbcapi

Usage

PostgressSQL:

Set an environment variable  `PG_JDBC_DRIVER_PATH`
from sqlalchemy import create_engine
create_engine('jdbcapi+pgjdbc://{}:{}@{}/{}'.format(username, password, <ip:host>', <database name>))

Oracle:

Set an environment variable `ORACLE_JDBC_DRIVER_PATH`
create_engine("jdbcapi+oraclejdbc://username:password@HOST:1521/Database")

GenericJDBCConnection:

Set an environment variable `JDBC_DRIVER_PATH`

Supported databases

In theory every database with a suitable JDBC driver should work.

  • SQLite
  • Hypersonic SQL (HSQLDB)
  • IBM DB2
  • IBM DB2 for mainframes
  • Oracle
  • Teradata DB
  • Netezza
  • Mimer DB
  • Microsoft SQL Server
  • MySQL
  • PostgreSQL
  • many more…

Contributing

Please submit bugs and patches. All contributors will be acknowledged. Thanks!

Changelog

  • 1.1.0 - 2020-08-4 - Initial release.

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sqlalchemy_jdbcapi-1.1.0.tar.gz (4.7 kB view hashes)

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