py-opengauss 1.3.10

Creator: railscoder56

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Description:

pyopengauss 1.3.10

This package is based on py-postgresql upgrades to work with openGauss.
Repo: https://gitee.com/opengauss/openGauss-connector-python-pyog
Adapted from: http://github.com/python-postgres/fe v1.3.0

Warning
In v1.3, py_opengauss.driver.dbapi20.connect will now raise ClientCannotConnectError directly.
Exception traps around connect should still function, but the __context__ attribute
on the error instance will be None in the usual failure case as it is no longer
incorrectly chained. Trapping ClientCannotConnectError ahead of Error should
allow both cases to co-exist in the event that data is being extracted from
the ClientCannotConnectError.

py-opengauss is a set of Python modules providing interfaces to various parts
of openGauss. Primarily, it provides a pure-Python driver with some C optimizations for
querying a openGauss database.
https://gitee.com/opengauss/openGauss-connector-python-pyog
Features:


Prepared Statement driven interfaces.
Cluster tools for creating and controlling a cluster.
Support for most PostgreSQL types: composites, arrays, numeric, lots more.
COPY support.
Multiple ip connect support


Sample PG-API Code:
>>> import py_opengauss
>>> db = py_opengauss.open('pq://user:password@host:port,host:port/database')
>>> db.execute("CREATE TABLE emp (emp_first_name text, emp_last_name text, emp_salary numeric)")
>>> make_emp = db.prepare("INSERT INTO emp VALUES ($1, $2, $3)")
>>> make_emp("John", "Doe", "75,322")
>>> with db.xact():
... make_emp("Jane", "Doe", "75,322")
... make_emp("Edward", "Johnson", "82,744")
...
There is a DB-API 2.0 module as well:
py_opengauss.driver.dbapi20
However, PG-API is recommended as it provides greater utility.
Once installed, try out the pg_python console script:
$ python3 -m py_opengauss.bin.pg_python -h localhost -p port -U theuser -d database_name
If a successful connection is made to the remote host, it will provide a Python
console with the database connection bound to the db name.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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