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Posted to issues@spark.apache.org by "Ruifeng Zheng (Jira)" <ji...@apache.org> on 2023/01/12 15:01:00 UTC
[jira] (SPARK-41746) SparkSession.createDataFrame does not support nested datatypes
[ https://issues.apache.org/jira/browse/SPARK-41746 ]
Ruifeng Zheng deleted comment on SPARK-41746:
---------------------------------------
was (Author: podongfeng):
{code:java}
**********************************************************************
File "/Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/functions.py", line 1423, in pyspark.sql.connect.functions.map_filter
Failed example:
df.select(map_filter(
"data", lambda _, v: v > 30.0).alias("data_filtered")
).show(truncate=False)
Expected:
+--------------------------+
|data_filtered |
+--------------------------+
|{baz -> 32.0, foo -> 42.0}|
+--------------------------+
Got:
+--------------------------+
|data_filtered |
+--------------------------+
|{foo -> 42.0, baz -> 32.0}|
+--------------------------+
<BLANKLINE>
**********************************************************************
File "/Users/ruifeng.zheng/Dev/spark/python/pyspark/sql/connect/functions.py", line 1465, in pyspark.sql.connect.functions.map_zip_with
Failed example:
df.select(map_zip_with(
"base", "ratio", lambda k, v1, v2: round(v1 * v2, 2)).alias("updated_data")
).show(truncate=False)
Expected:
+---------------------------+
|updated_data |
+---------------------------+
|{SALES -> 16.8, IT -> 48.0}|
+---------------------------+
Got:
+---------------------------+
|updated_data |
+---------------------------+
|{IT -> 48.0, SALES -> 16.8}|
+---------------------------+
<BLANKLINE>
**********************************************************************
1 of 2 in pyspark.sql.connect.functions.map_filter
1 of 2 in pyspark.sql.connect.functions.map_zip_with
{code}
> 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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