Takuya Ueshin created SPARK-23334:
-------------------------------------
Summary: Fix pandas_udf with return type StringType() to handle
str type properly in Python 2.
Key: SPARK-23334
URL: https://issues.apache.org/jira/browse/SPARK-23334
Project: Spark
Issue Type: Bug
Components: PySpark, SQL
Affects Versions: 2.3.0
Reporter: Takuya Ueshin
In Python 2, when pandas_udf tries to return string type value created in the
udf with {{".."}}, the execution fails. E.g.,
{code:java}
from pyspark.sql.functions import pandas_udf, col
import pandas as pd
df = spark.range(10)
str_f = pandas_udf(lambda x: pd.Series(["%s" % i for i in x]), "string")
df.select(str_f(col('id'))).show()
{code}
raises the following exception:
{code}
...
java.lang.AssertionError: assertion failed: Invalid schema from pandas_udf:
expected StringType, got BinaryType
at scala.Predef$.assert(Predef.scala:170)
at
org.apache.spark.sql.execution.python.ArrowEvalPythonExec$$anon$2.<init>(ArrowEvalPythonExec.scala:93)
...
{code}
Seems like pyarrow ignores {{type}} parameter for {{pa.Array.from_pandas()}}
and consider it as binary type when the type is string type and the string
values are {{str}} instead of {{unicode}} in Python 2.
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