Python SQLAlchemy Dialect for JDBCAPI.
Project description
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
1.2.2 - 2020-10-16 - SSL Support from URL.
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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