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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2022/12/28 12:14:00 UTC
[jira] [Created] (SPARK-41746) SparkSession.createDataFrame does not support nested datatypes
Hyukjin Kwon created SPARK-41746:
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Summary: SparkSession.createDataFrame does not support nested datatypes
Key: SPARK-41746
URL: https://issues.apache.org/jira/browse/SPARK-41746
Project: Spark
Issue Type: Sub-task
Components: Connect
Affects Versions: 3.4.0
Reporter: Hyukjin Kwon
{code}
File "/.../spark/python/pyspark/sql/connect/group.py", line 183, in pyspark.sql.connect.group.GroupedData.pivot
Failed example:
df2 = spark.createDataFrame([
Row(training="expert", sales=Row(course="dotNET", year=2012, earnings=10000)),
Row(training="junior", sales=Row(course="Java", year=2012, earnings=20000)),
Row(training="expert", sales=Row(course="dotNET", year=2012, earnings=5000)),
Row(training="junior", sales=Row(course="dotNET", year=2013, earnings=48000)),
Row(training="expert", sales=Row(course="Java", year=2013, earnings=30000)),
])
Exception raised:
Traceback (most recent call last):
File "/.../miniconda3/envs/python3.9/lib/python3.9/doctest.py", line 1336, in __run
exec(compile(example.source, filename, "single",
File "<doctest pyspark.sql.connect.group.GroupedData.pivot[3]>", line 1, in <module>
df2 = spark.createDataFrame([
File "/.../workspace/forked/spark/python/pyspark/sql/connect/session.py", line 196, in createDataFrame
table = pa.Table.from_pandas(pdf)
File "pyarrow/table.pxi", line 3475, in pyarrow.lib.Table.from_pandas
File "/.../miniconda3/envs/python3.9/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in dataframe_to_arrays
arrays = [convert_column(c, f)
File "/.../miniconda3/envs/python3.9/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in <listcomp>
arrays = [convert_column(c, f)
File "/.../miniconda3/envs/python3.9/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 598, in convert_column
raise e
File "/.../miniconda3/envs/python3.9/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 592, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
File "pyarrow/array.pxi", line 316, in pyarrow.lib.array
File "pyarrow/array.pxi", line 83, in pyarrow.lib._ndarray_to_array
File "pyarrow/error.pxi", line 123, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'int' object", 'Conversion failed for column 1 with type object')
{code}
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