[
https://issues.apache.org/jira/browse/SPARK-41746?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-41746:
------------------------------------
Assignee: (was: Apache Spark)
> 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
> Priority: Major
>
> {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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