sadhen opened a new pull request #32321:
URL: https://github.com/apache/spark/pull/32321
### What changes were proposed in this pull request?
Fix a bug of Pandas/Spark conversion with Arrow support enabled.
Support DataType with UDT:
+ [x] UDT
+ [x] ArrayType(UDT)
+ [x] <del>StructType(..., UDT, ...)</del>, postponed
``` python
spark.conf.set("spark.sql.execution.arrow.pyspark.enabled", True)
from pyspark.testing.sqlutils import ExamplePoint, ExamplePointUDT
from pyspark.sql.types import StructType, StructField
import pandas as pd
schema = StructType([StructField('point', ExamplePointUDT(), False)])
pdf = pd.DataFrame({'point': pd.Series([ExamplePoint(1, 1), ExamplePoint(2,
2)])})
df = spark.createDataFrame(pdf, schema)
print(df.toPandas())
```
before (because it fallbacks to arrow disabled):
```
point
0 (0.0,0.0)
1 (0.0,0.0)
```
after:
```
point
0 (1.0,1.0)
1 (2.0,2.0)
```
### Why are the changes needed?
Fix a bug.
For UDT without Arrow support, I will create another PR.
### Does this PR introduce _any_ user-facing change?
Support Python UDT in PySpark now. No user-facing changes.
### How was this patch tested?
``` bash
python/run-tests --testnames pyspark.sql.tests.test_arrow
```
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