WeichenXu123 commented on code in PR #40520:
URL: https://github.com/apache/spark/pull/40520#discussion_r1146257661
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python/pyspark/sql/pandas/map_ops.py:
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@@ -60,6 +62,7 @@ def mapInPandas(
schema : :class:`pyspark.sql.types.DataType` or str
the return type of the `func` in PySpark. The value can be either a
:class:`pyspark.sql.types.DataType` object or a DDL-formatted type
string.
+ is_barrier : Use barrier mode execution if True.
Examples
--------
Review Comment:
Q: An example like this:
```
>>> from pyspark.sql.functions import pandas_udf
>>> df = spark.createDataFrame([(1, 21), (2, 30)], ("id", "age"))
>>> def filter_func(iterator):
... for pdf in iterator:
... yield pdf[pdf.id == 1]
>>> df.mapInPandas(filter_func, df.schema, isBarrier=True).show() #
doctest: +SKIP
```
It cannot illustrate how barrier mode works. Do you have better idea ?
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