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Get Python package information

Applies to: SQL Server 2017 (14.x) and later Azure SQL Managed Instance

This article describes how to get information about installed Python packages, including versions and installation locations, on Machine Learning Services on SQL Server and on Big Data Clusters. Example Python scripts show you how to list package information such as installation path and version.

This article describes how to get information about installed Python packages, including versions and installation locations, on SQL Server Machine Learning Services. Example Python scripts show you how to list package information such as installation path and version.

This article describes how to get information about installed Python packages, including versions and installation locations, on Azure SQL Managed Instance Machine Learning Services. Example Python scripts show you how to list package information such as installation path and version.

Default Python library location

When you install machine learning with SQL Server, a single package library is created at the instance level for each language that you install. The instance library is a secured folder registered with SQL Server.

All script or code that runs in-database on SQL Server must load functions from the instance library. SQL Server can't access packages installed to other libraries. This applies to remote clients as well: any Python code running in the server compute context can only use packages installed in the instance library. To protect server assets, the default instance library can be modified only by a computer administrator.

The default path of the binaries for Python is:

C:\Program Files\Microsoft SQL Server\MSSQL14.MSSQLSERVER\PYTHON_SERVICES

This assumes the default SQL instance, MSSQLSERVER. If SQL Server is installed as a user-defined named instance, the given name is used instead.

The default path of the binaries for Python is:

C:\Program Files\Microsoft SQL Server\MSSQL15.MSSQLSERVER\PYTHON_SERVICES

This assumes the default SQL instance, MSSQLSERVER. If SQL Server is installed as a user-defined named instance, the given name is used instead.

Enable external scripts by running the following SQL commands:

sp_configure 'external scripts enabled', 1;
RECONFIGURE WITH override;

Important

On Azure SQL Managed Instance, running the sp_configure and RECONFIGURE commands triggers a SQL server restart for the RG settings to take effect. This can cause a few seconds of unavailability.

Run the following SQL statement if you want to verify the default library for the current instance. This example returns the list of folders included in the Python sys.path variable. The list includes the current directory and the standard library path.

EXECUTE sp_execute_external_script
  @language =N'Python',
  @script=N'import sys; print("\n".join(sys.path))'

For more information about the variable sys.path and how it's used to set the interpreter's search path for modules, see The Module Search Path.

Note

Don't try to install Python packages directly in the SQL package library using pip or similar methods. Instead, use sqlmlutils to install packages in a SQL instance. For more information, see Install Python packages with sqlmlutils.

Default Microsoft Python packages

The following Microsoft Python packages are installed with SQL Server Machine Learning Services when you select the Python feature during setup.

Packages Version Description
revoscalepy 9.4.7 Used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
microsoftml 9.4.7 Adds machine learning algorithms in Python.

For information on which version of Python is included, see Python and R versions.

Component upgrades

By default, Python packages are refreshed through service packs and cumulative updates. Additional packages and full version upgrades of core Python components are possible only through product upgrades.

Default open-source Python packages

When you select the Python language option during setup, Anaconda 4.2 distribution (over Python 3.5) is installed. In addition to Python code libraries, the standard installation includes sample data, unit tests, and sample scripts.

Important

You should never manually overwrite the version of Python installed by SQL Server Setup with newer versions on the web. Microsoft Python packages are based on specific versions of Anaconda. Modifying your installation could destabilize it.

List all installed Python packages

The following example script displays a list of all Python packages installed in the SQL Server instance.

EXECUTE sp_execute_external_script
  @language = N'Python',
  @script = N'
import pkg_resources
import pandas
OutputDataSet = pandas.DataFrame(sorted([(i.key, i.version) for i in pkg_resources.working_set]))'
WITH result sets((Package NVARCHAR(128), Version NVARCHAR(128)));

Find a single Python package

If you've installed a Python package and want to make sure that it's available to a particular SQL Server instance, you can execute a stored procedure to look for the package and return messages.

For example, the following code looks for the scikit-learn package. If the package is found, the code prints the package version.

EXECUTE sp_execute_external_script
  @language = N'Python',
  @script = N'
import pkg_resources
pkg_name = "scikit-learn"
try:
    version = pkg_resources.get_distribution(pkg_name).version
    print("Package " + pkg_name + " is version " + version)
except:
    print("Package " + pkg_name + " not found")
'

Result:

STDOUT message(s) from external script: Package scikit-learn is version 0.20.2

View the version of Python

The following example code returns the version of Python installed in the instance of SQL Server.

EXECUTE sp_execute_external_script
  @language = N'Python',
  @script = N'
import sys
print(sys.version)
'

Next steps