Connect to a Vertica database¶
The following tutorial demonstrates a quick and easy way to connect to a Vertica database using VerticaPy. For a full exploration of the connection possibilities in VerticaPy, including auto-connections, see Connection.
Requirements¶
Before connecting to a database, you must satisfy the following requirements:
Have access to a machine with Vertica version 9 or later installed
Install Python 3.9 or later on your machine
Install VerticaPy on your machine
For more information about these installations, see Getting Started.
Connect to a DB¶
To connect to a database for the first time, use the `new_connection() <https://www.vertica.com/python/documentation/1.0.x/html/api/verticapy.connection.new_connection.html>`__ function, replacing the configuration values with the credentials for your database:
[ ]:
import verticapy as vp
vp.new_connection({"host": "12.345.67.89",
"port": "5433",
"database": "testdb",
"password": "XxX",
"user": "dbadmin"},
name = "Vertica_Connection")
The connection is saved to the VerticaPy connection file under the name specified in the name parameter. To reconnect to the database using this connection, run the `connect() <https://www.vertica.com/python/documentation/1.0.x/html/api/verticapy.connection.connect.html>`__ function with the name of the connection as the argument value:
[2]:
vp.connect("Vertica_Connection")
To view all available connections, use the available_connections() function:
[3]:
vp.available_connections()
[3]:
['Vertica_New_Connection', 'Vertica_Connection']
If you need to confirm the parameters for a given function, you can view the function’s page in the API reference guide or use the help function:
[4]:
help(vp.new_connection)
Help on function new_connection in module verticapy.connection.write:
new_connection(conn_info: dict, name: str = 'vertica_connection', auto: bool = True, overwrite: bool = True) -> None
Saves the new connection in the VerticaPy
connection file. The information is saved
as plaintext in the local machine.
The function
:py:func:`~verticapy.connection.get_connection_file`
returns the associated connection file
path. If you want a temporary connection,
you can use the
:py:func:`~verticapy.connection.set_connection`
function.
Parameters
----------
conn_info: dict
``dictionnary`` containing
the information to set up
the connection.
- database:
Database Name.
- host:
Server ID.
- password:
User Password.
- port:
Database Port (optional, default: 5433).
- user:
User ID (optional, default: dbadmin).
...
- env:
``bool`` to indicate whether the user and
password are replaced by the associated
environment variables. If ``True``, VerticaPy
reads the associated environment variables
instead of writing and directly using the
username and password.
For example:
``{'user': 'ENV_USER', 'password': 'ENV_PASSWORD'}``
This works only for the user and password.
The real values of the other variables are
stored plaintext in the VerticaPy connection
file. Using the environment variables hides
the username and password in cases where the
local machine is shared.
name: str, optional
Name of the connection.
auto: bool, optional
If set to True, the connection
will become the new auto-connection.
overwrite: bool, optional
If set to ``True`` and the connection
already exists, the existing connection
will be overwritten.
Examples
--------
Create a new connection to VerticaPy:
.. note::
If no errors are raised, the new connection was
successful.
.. code-block:: python
from verticapy.connection import new_connection
conn_info = {
"host": "10.211.55.14",
"port": "5433",
"database": "testdb",
"password": "XxX",
"user": "dbadmin",
}
new_connection(conn_info, name = "VerticaDSN")
.. seealso::
| :py:func:`~verticapy.connection.get_connection_file` :
Gets the VerticaPy connection file.
| :py:func:`~verticapy.connection.set_connection` :
Sets the VerticaPy connection.
For an interactive start guide, you can use the help_start() function:
[5]:
vp.help_start()
📢 Welcome to the VerticaPy help module.
This module can help you connect to Vertica, create a Virtual DataFrame, load your data, and more. - [Enter 0] Overview of the library - [Enter 1] Load an example dataset - [Enter 2] View an example of data analysis with VerticaPy - [Enter 3] Contribute on GitHub - [Enter 4] View the SQL code generated by a vDataFrame and the time elapsed for the query - [Enter 5] Load your own dataset into Vertica - [Enter 6] Write SQL queries in Jupyter - [Enter -1] Exit
In the next tutorial, we will use this Vertica connection to explore one of the core features of VerticaPy: the Virtual DataFrame.