Extending: Setting up a Python development environment

Mon, 01 Jan 0001 00:00:00 +0000

To avoid problems when loading and executing your UDxs, develop your UDxs using the same version of Python that OpenText™ Analytics Database uses. To do this without changing your environment for projects that might require other Python versions, you can use a Python virtual environment (venv). You can install libraries that your UDx depends on into your venv and use that path when you create your UDx library with CREATE LIBRARY.

Setting up venv

Set up venv using the Python version bundled with OpenText™ Analytics Database. If you have direct access to a database node, you can use that Python binary directly to create your venv:

$ /opt/vertica/sbin/python3 -m venv /path/to/new/environment

The result is a directory with a default environment, including a site-packages directory:

$ ls venv/lib/
python3.9
$ ls venv/lib/python3.9/
site-packages

If your UDx depends on libraries that are not packaged with the database, install them into this directory:

$ source venv/bin/activate
(venv) $ pip install numpy
...

The lib/python3.9/site-packages directory now contains the installed library. The change affects only your virtual environment.

UDx imports

Your UDx code must import, in addition to any libraries you add, the vertica_sdk library:

# always required:
import vertica_sdk
# other libs:
import numpy as np
# ...

The vertica_sdk library is included as a part of the database server. You do not need to add it to site-packages or declare it as a dependency.

Deployment

For libraries you add, you must declare dependencies when using CREATE LIBRARY. This declaration allows the database to find the libraries and distribute them to all database nodes. You can supply a path instead of enumerating the libraries:

=> CREATE OR REPLACE LIBRARY pylib AS
   '/path/to/udx/add2ints.py'
   DEPENDS '/path/to/new/environment/lib/python3.9/site-packages/*'
   LANGUAGE 'Python';

=> CREATE OR REPLACE FUNCTION add2ints AS LANGUAGE 'Python'
   NAME 'add2ints_factory' LIBRARY pylib;

CREATE LIBRARY copies the UDx and the contents of the DEPENDS path and stores them with the database. The database then distributes copies to all database nodes.

Extending: Python and OpenText Analytics Database data types

Mon, 01 Jan 0001 00:00:00 +0000

The OpenText™ Analytics Database Python SDK converts native database data types into the appropriate Python data types. The following table describes some of the data type conversions. Consult the Python SDK for a complete list, as well as lists of helper functions to convert and manipulate these data types.

For information about SDK support for complex data types, see Complex Types as Arguments and Return Values.

OpenText™ Analytics Database Data Type	Python Data Type
INTEGER	int
FLOAT	float
NUMERIC	decimal.Decimal
DATE	datetime.date
CHAR, VARCHAR, LONG VARCHAR	string (UTF-8 encoded)
BINARY, VARBINARY, LONG VARBINARY	binary
TIMESTAMP	datetime.datetime
TIME	datetime.time
ARRAY	list Note: Nested ARRAY types are also converted into lists.
ROW	collections.OrderedDict Note: Nested ROW types are also converted into collections.OrderedDicts.

Note