Harsh Motwani created SPARK-50839:
-------------------------------------
Summary: Spark Connect createDataFrame behavior does not match
with classic Spark
Key: SPARK-50839
URL: https://issues.apache.org/jira/browse/SPARK-50839
Project: Spark
Issue Type: Bug
Components: Connect, PySpark
Affects Versions: 4.0.0
Reporter: Harsh Motwani
In classic Spark shell (PySpark):
```
>>> spark.createDataFrame([1], "v int").show()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
...
pyspark.errors.exceptions.base.PySparkTypeError: [FIELD_DATA_TYPE_UNACCEPTABLE]
StructType([StructField('v', IntegerType(), True)]) can not accept object 1 in
type <class 'int'>.
```
In Spark Connect shell (PySpark):
```
>>> spark.createDataFrame([1], "v int").show()
25/01/15 14:05:01 WARN CheckAllocator: More than one DefaultAllocationManager
on classpath. Choosing first found
+---+
| v|
+---+
| 1|
+---+
```
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