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https://issues.apache.org/jira/browse/SPARK-23334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-23334.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20507
[https://github.com/apache/spark/pull/20507]
> 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
> Assignee: Takuya Ueshin
> Priority: Blocker
> Fix For: 2.3.0
>
>
> 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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