IBM Streams Python setup¶
Streaming Analytics service¶
The service instance has Anaconda 4.1 installed with Python 3.5 as the
runtime environment and has PYTHONHOME
Streams application environment variable
pre-configured.
Any streaming applications using Python must use Python 3.5 when submitted to the service instance.
IBM Streams on-premises¶
For a distributed cluster running Streams Python 2.7, 3.5 or 3.6 may be used.
Anaconda may be used as the Python runtime, Anaconda has the advantage of being pre-built and including a number of standard packages. Ananconda installs may be downloaded at: https://www.continuum.io/downloads .
Note
An Anaconda distribution for Python 2.7, 3.5 or 3.6 must be used.
If building Python from source then it must be built to support embedding
of the runtime with shared libraries (--enabled-shared
option to configure).
Distributed¶
For distributed the Streams application environment variable
PYTHONHOME
must be set to the Python install path.
This is set using streamtool as:
streamtool setproperty --application-ev PYTHONHOME=path_to_python_install
The application environment variable may also be set using the Streams console. The Instance Management view has an Application Environment Variables section. Expanding the details for that section allows modification of the set of environment variables available to Streams applications.
The Python install path must be accessible on every application resource that will execute Python code within a Streams application.
Note
The Python version used to declare and submit the application must match the setting of PYTHONHOME
in the instance. For example, if PYTHONHOME
Streams application instance variable points to a Python 3.6 install, then Python 3.6 must be used to declare and submit the application.
Standalone¶
The environment PYTHONHOME
must be set to the Python install path.