Github user zjffdu commented on the pull request:
https://github.com/apache/spark/pull/11211#issuecomment-213200292
The executor here may be a little misleading. It means the python worker
rather than the spark executor.
Python worker get its env from PythonRDD and PythonRDD get the env from
context.environment. ( I have updated the title)
See PythonRDD.scala
```
val worker: Socket = env.createPythonWorker(pythonExec,
envVars.asScala.toMap)
```
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