[
https://issues.apache.org/jira/browse/SPARK-50839?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Harsh Motwani updated SPARK-50839:
----------------------------------
Description:
In classic Spark shell (PySpark):
{code:java}
>>> 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'>.
{code}
In Spark Connect shell (PySpark):
{code:java}
>>> 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|
+---+
{code}
was:
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|
+---+
```
> 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
> Priority: Major
>
> In classic Spark shell (PySpark):
> {code:java}
> >>> 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'>.
> {code}
> In Spark Connect shell (PySpark):
> {code:java}
> >>> 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|
> +---+
> {code}
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
