Chapter 6. Running PySpark in a Virtual Environment
For many PySpark applications, it is sufficient to use --py-files to specify
dependencies. However, there are times when --py-files is inconvenient, such as the
following scenarios:
A large PySpark application has many dependencies, including transitive dependencies.
A large application needs a Python package that requires C code to be compiled before installation.
You want to run different versions of Python for different applications.
For these situations, you can create a virtual environment as an isolated Python runtime environment. HDP 2.6 supports VirtualEnv for PySpark in both local and distributed environments, easing the transition from a local environment to a distributed environment.
Note: This feature is currently only supported in YARN mode.
For more information, see Using VirtualEnv with PySpark.