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Python SQLAlchemy Dialect for JDBCAPI.

Project description

JDBC Connection for SQLAlchemy.

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

Installation

Installing the dialect is straightforward.

python3 -m pip install git+https://github.com/daneshpatel/sqlalchemy-jdbcapi.git

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 <https://github.com/daneshpatel/sqlalchemy-jdbcapi/issues>_. All contributors will be acknowledged. Thanks!

Project details


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