itholic opened a new pull request #33214:
URL: https://github.com/apache/spark/pull/33214
### What changes were proposed in this pull request?
Currently, inferring nested structs is always using `MapType`.
This behavior causes an issue because it infers the schema with a value type
of the first field of the struct as below:
```python
data = [{"inside_struct": {"payment": 100.5, "name": "Lee"}}]
df = spark.createDataFrame(data)
df.show()
+--------------------+
| inside_struct|
+--------------------+
|{name -> null, pa...|
+--------------------+
```
The "name" became `null`, but it should've been `"Lee"`.
In this case, we need to be able to infer the schema with a `StructType`
instead of a `MapType`.
Therefore, this PR proposes adding an new configuration
`spark.sql.pyspark.inferNestedStructByMap` to handle which type is used for
inferring nested structs.
- When `spark.sql.pyspark.inferNestedStructByMap` is `true` (by default),
inferring nested structs by `MapType`
- When `spark.sql.pyspark.inferNestedStructByMap` is `false`, inferring
nested structs by `StructType`
### Why are the changes needed?
Because always inferring the nested structs by `MapType` doesn't work
properly for some cases.
### Does this PR introduce _any_ user-facing change?
New configuration `spark.sql.pyspark.inferNestedStructByMap` is added.
### How was this patch tested?
Added an unit test
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