[ 
https://issues.apache.org/jira/browse/SPARK-41866?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sandeep Singh updated SPARK-41866:
----------------------------------
    Description: 
{code:java}
import array

data = [Row(longarray=array.array("l", [-9223372036854775808, 0, 
9223372036854775807]))]
df = self.spark.createDataFrame(data) {code}
Error:
{code:java}
Traceback (most recent call last):
  File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_dataframe.py", 
line 1220, in test_create_dataframe_from_array_of_long
    df = self.spark.createDataFrame(data)
  File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/session.py", line 
260, in createDataFrame
    table = pa.Table.from_pylist([row.asDict(recursive=True) for row in _data])
  File "pyarrow/table.pxi", line 3700, in pyarrow.lib.Table.from_pylist
  File "pyarrow/table.pxi", line 5221, in pyarrow.lib._from_pylist
  File "pyarrow/table.pxi", line 3575, in pyarrow.lib.Table.from_arrays
  File "pyarrow/table.pxi", line 1383, in pyarrow.lib._sanitize_arrays
  File "pyarrow/table.pxi", line 1364, in pyarrow.lib._schema_from_arrays
  File "pyarrow/array.pxi", line 320, in pyarrow.lib.array
  File "pyarrow/array.pxi", line 39, in pyarrow.lib._sequence_to_array
  File "pyarrow/error.pxi", line 144, in 
pyarrow.lib.pyarrow_internal_check_status
  File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Could not convert array('l', [-9223372036854775808, 
0, 9223372036854775807]) with type array.array: did not recognize Python value 
type when inferring an Arrow data type{code}

  was:
{code:java}
File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/functions.py", 
line 2331, in pyspark.sql.connect.functions.call_udf
Failed example:
    _ = spark.udf.register("intX2", lambda i: i * 2, IntegerType())
Exception raised:
    Traceback (most recent call last):
      File 
"/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py",
 line 1350, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest pyspark.sql.connect.functions.call_udf[3]>", line 1, in 
<module>
        _ = spark.udf.register("intX2", lambda i: i * 2, IntegerType())
    AttributeError: 'SparkSession' object has no attribute 'udf'{code}


> Make `createDataFrame` support array
> ------------------------------------
>
>                 Key: SPARK-41866
>                 URL: https://issues.apache.org/jira/browse/SPARK-41866
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Connect
>    Affects Versions: 3.4.0
>            Reporter: Sandeep Singh
>            Priority: Major
>
> {code:java}
> import array
> data = [Row(longarray=array.array("l", [-9223372036854775808, 0, 
> 9223372036854775807]))]
> df = self.spark.createDataFrame(data) {code}
> Error:
> {code:java}
> Traceback (most recent call last):
>   File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/tests/test_dataframe.py",
>  line 1220, in test_create_dataframe_from_array_of_long
>     df = self.spark.createDataFrame(data)
>   File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/session.py", 
> line 260, in createDataFrame
>     table = pa.Table.from_pylist([row.asDict(recursive=True) for row in 
> _data])
>   File "pyarrow/table.pxi", line 3700, in pyarrow.lib.Table.from_pylist
>   File "pyarrow/table.pxi", line 5221, in pyarrow.lib._from_pylist
>   File "pyarrow/table.pxi", line 3575, in pyarrow.lib.Table.from_arrays
>   File "pyarrow/table.pxi", line 1383, in pyarrow.lib._sanitize_arrays
>   File "pyarrow/table.pxi", line 1364, in pyarrow.lib._schema_from_arrays
>   File "pyarrow/array.pxi", line 320, in pyarrow.lib.array
>   File "pyarrow/array.pxi", line 39, in pyarrow.lib._sequence_to_array
>   File "pyarrow/error.pxi", line 144, in 
> pyarrow.lib.pyarrow_internal_check_status
>   File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
> pyarrow.lib.ArrowInvalid: Could not convert array('l', [-9223372036854775808, 
> 0, 9223372036854775807]) with type array.array: did not recognize Python 
> value type when inferring an Arrow data type{code}



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