Hyukjin Kwon created SPARK-31287:
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Summary: groupby().applyInPandas should ignore type hints
Key: SPARK-31287
URL: https://issues.apache.org/jira/browse/SPARK-31287
Project: Spark
Issue Type: Bug
Components: PySpark, SQL
Affects Versions: 3.1.0
Reporter: Hyukjin Kwon
Setting type hints in pandas function API should not matter at this moment.
However, currently it tries to infer type hint when it's set.
{code}
import pandas as pd
def pandas_plus_one(v: pd.DataFrame) -> pd.DataFrame:
return v + 1
spark.range(10).groupby('id').applyInPandas(pandas_plus_one, schema="id
long").show()
{code}
{code}
Traceback (most recent call last):
File "/.../spark/python/pyspark/sql/utils.py", line 98, in deco
return f(*a, **kw)
File "/.../spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 328,
in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling
o34.flatMapGroupsInPandas.
: java.lang.IllegalArgumentException: requirement failed: Must pass a grouped
map udf
at scala.Predef$.require(Predef.scala:281)
at
org.apache.spark.sql.RelationalGroupedDataset.flatMapGroupsInPandas(RelationalGroupedDataset.scala:541)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/.../spark/python/pyspark/sql/pandas/group_ops.py", line 182, in
applyInPandas
jdf = self._jgd.flatMapGroupsInPandas(udf_column._jc.expr())
File "/.../spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line
1305, in __call__
File "/.../spark/python/pyspark/sql/utils.py", line 102, in deco
raise converted
pyspark.sql.utils.IllegalArgumentException: requirement failed: Must pass a
grouped map udf
{code}
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