Official Vertica dialect for SQLalchemy
Project description
Official Vertica dialect for SQLAlchemy uses the pure-Python DB-API driver vertica-python, to connect a Vertica database and SQLAlchemy applications.
Prerequisites
You will need the following softwares to run, build and test the dialect. Everything apart from Python and pip can be installed via pip itself.
Python 3.x or higher
pip 22 or higher
sqlalchemy>=1.3.24,<=1.4.44
vertica-python 1.1.1 or higher
Vertica-Python
vertica-python is needed to use the Vertica-SQLAlchemy-Dialect. The connector does not need to be installed as the dialect installation takes care of it.
Note: We recommend using the vertica-python connector. However, the dialect also allows connecting using pyodbc. More instructions are at the end of this README.
Installing Vertica SQLAlchemy Dialect
The Vertica SQLAlchemy package can be installed from the public PyPI repository using pip:
pip install --upgrade vertica-sqlalchemy-dialect
pip automatically installs all required modules, including vertica-python.
For more information on installation and validation check our github page.
Parameters and Behavior
As much as possible, Vertica SQLAlchemy provides compatible functionality for SQLAlchemy applications. For information on using SQLAlchemy, see the SQLAlchemy documentation.
Note: Current state of the dialect only supports metadata functions. It is still under development.
However, Vertica SQLAlchemy also provides specific parameters and behavior, which are described in the following sections.
Connection Parameters
Vertica SQLAlchemy Dialect uses the following syntax for the connection string used to connect to Vertica and initiate a session:
'vertica+vertica_python://<user>:<password>@<host_name>/<database_name>'
Where:
<user> is the login name for your Vertica user.
<password> is the password for your Vertica user.
<host_name> is the IP/FQDN of your Vertica Host.
<database_name> is the name of your Vertica Database.
You can optionally specify the initial database and schema for the Vertica session by including them at the end of the connection string, separated by /. You can also specify other supported parameters by vertica-python at the end of the connection string:
'vertica+vertica_python://<user>:<password>@<host_name>/<database_name>?session_label=sqlalchemy&connection_load_balance=1'
For more information, check out the connection options of vertica-python.
Opening and Closing Connection
Open a connection by executing engine.connect(); avoid using engine.execute(). Make certain to close the connection by executing connection.close() before engine.dispose(); otherwise, the Python Garbage collector removes the resources required to communicate with Vertica, preventing the Python connector from closing the session properly.
engine = create_engine(...) connection = engine.connect() try: connection.execute(<SQL>) finally: connection.close() engine.dispose()
Using pyodbc instead of vertica-python
You may use pyodbc instead of vertica-python for the connection.
Create a Vertica DSN
You will need to have a Vertica ODBC driver installed from Vertica-Client-Drivers. For steps to install ODBC for Vertica, follow official Vertica Docs.
For example, you will need to configure these files with your credentials:
/etc/vertica.ini
[Driver] ErrorMessagesPath = /opt/vertica/lib64/ ODBCInstLib = /usr/lib/x86_64-linux-gnu/libodbcinst.so DriverManagerEncoding=UTF-16
~/.odbc.ini
[ODBC Data Sources] vertica = "My Database" [verticadsn] Description = My Database Driver = /opt/vertica/lib64/libverticaodbc.so Database = docker Servername = 127.0.0.1 UID = dbadmin PWD =
Then use the Vertica DSN in a file like so:
from sqlalchemy import create_engine engine = sa.create_engine('vertica+pyodbc://@verticadsn') try: res = engine.connect().scalar('select version();') print(res) finally: connection.close() engine.dispose()
This should display the Vertica version info: “Vertica Analytic Database v12.0.0-0”.
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