[jira] [Created] (FLINK-14014) Introduce PythonScalarFunctionRunner to handle the communication with Python worker for Python ScalarFunction execution

[Shang Yuanchun (Jira)]

Dian Fu created FLINK-14014:
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             Summary: Introduce PythonScalarFunctionRunner to handle the communication with Python worker for Python ScalarFunction execution
                 Key: FLINK-14014
                 URL: https://issues.apache.org/jira/browse/FLINK-14014
             Project: Flink
          Issue Type: Sub-task
          Components: API / Python
            Reporter: Dian Fu
             Fix For: 1.10.0


PythonScalarFunctionRunner is responsible for Python ScalarFunction execution and it only handles the Python ScalarFunction execution and nothing else. So its logic should be very simple, forwarding an input element to Python worker and fetching the execution results back:
# Internally, it uses Apache Beam’s portability for Python UDF execution and this is transparent for the caller of PythonScalarFunctionRunner
# By default, each runner will startup a separate Python worker
# The Python worker can run in a docker, a separate process or even an non-managed external service.
# It has the ability to execute multiple Python ScalarFunctions
# It also supports chained Python ScalarFunctions



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