dianfu commented on a change in pull request #19150:
URL: https://github.com/apache/flink/pull/19150#discussion_r830760361
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File path: docs/content.zh/docs/dev/python/python_execution_mode.md
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@@ -31,61 +31,48 @@ defines how to execute your customized Python functions.
Prior to release-1.15, there is the only execution mode called `PROCESS`
execution mode. The `PROCESS`
mode means that the Python user-defined functions will be executed in separate
Python processes.
-In release-1.15, it has introduced another two execution modes called
`MULTI-THREAD` execution mode and
-`SUB-INTERPRETER` execution mode. The `MULTI-THREAD` mode means that the
Python user-defined functions
-will be executed in the same thread as Java Operator, but it will be affected
by GIL performance.
-The `SUB-INTERPRETER` mode means that the Python user-defined functions will
be executed in Python
-different sub-interpreters rather than different threads of one interpreter,
which can largely overcome
-the effects of the GIL, but some CPython extensions libraries doesn't support
it, such as numpy, tensorflow, etc.
+In release-1.15, it has introduced a new execution mode called `THREAD`
execution mode. The `THREAD`
+mode means that the Python user-defined functions will be executed in the same
thread as Java Operator,
Review comment:
```suggestion
mode means that the Python user-defined functions will be executed in the
same process as Java Operator,
```
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