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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/03/27 12:17:00 UTC
[jira] [Updated] (SPARK-31287) groupby().applyInPandas,
groupby().cogroup().applyInPandas and mapInPandas should ignore type hints
[ https://issues.apache.org/jira/browse/SPARK-31287?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-31287:
---------------------------------
Summary: groupby().applyInPandas, groupby().cogroup().applyInPandas and mapInPandas should ignore type hints (was: groupby().applyInPandas should ignore type hints)
> groupby().applyInPandas, groupby().cogroup().applyInPandas and mapInPandas 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
> Priority: Major
>
> 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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