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Python SQLAlchemy Dialect for JDBCAPI.

Project description

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The primary purpose of this dialect is to provide JDBC connection using provided driver(JAR).

Installation

Installing the dialect is straightforward:

python3 -m pip install sqlalchemy-jdbcapi

Usage

Set an environment variable export CLASSPATH=<path>/ojdbc8.jar:<path>/postgresql-42.2.9.jre7.jar

PostgressSQL:

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

Oracle:

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

  • 1.2.1 - 2020-09-9 - Minor fix.

  • 1.2.0 - 2020-09-1 - Issue: PGarray not iterable.

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

Project details


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