ueshin opened a new pull request, #50341:
URL: https://github.com/apache/spark/pull/50341
### What changes were proposed in this pull request?
Fixes `ExtractPythonUDFs` to check the chained UDF input types for fallback.
### Why are the changes needed?
Currently the fallback of Arrow-optimized Python UDF to non Arrow for the
case the UDF has UDT input/output only works with not chained UDFs because it
checks only the last UDFs.
For example:
```py
from pyspark.sql.functions import udf
from pyspark.sql.types import *
from pyspark.testing.sqlutils import ExamplePoint, ExamplePointUDT
row = Row(
label=1.0,
point=ExamplePoint(1.0, 2.0),
)
df = spark.createDataFrame([row])
@udf(returnType=DoubleType(), useArrow=True)
def udtInDoubleOut(e):
return e.y
@udf(returnType=DoubleType(), useArrow=True)
def doubleInDoubleOut(d):
return d * 100.0
df.select(doubleInDoubleOut(udtInDoubleOut(df.point))).show()
```
This doesn't fallback to non Arrow and fails with:
```
pyspark.errors.exceptions.captured.PythonException:
An exception was thrown from the Python worker. Please see the stack trace
below.
Traceback (most recent call last):
...
AttributeError: 'list' object has no attribute 'y'
```
### Does this PR introduce _any_ user-facing change?
Yes, the fallback will work with chained UDFs, too.
### How was this patch tested?
Added the related tests.
### Was this patch authored or co-authored using generative AI tooling?
No.
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