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https://issues.apache.org/jira/browse/SPARK-22980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-22980.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20237
[https://github.com/apache/spark/pull/20237]
> Using pandas_udf when inputs are not Pandas's Series or DataFrame
> -----------------------------------------------------------------
>
> Key: SPARK-22980
> URL: https://issues.apache.org/jira/browse/SPARK-22980
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 2.3.0
> Reporter: Xiao Li
> Assignee: Hyukjin Kwon
> Fix For: 2.3.0
>
>
> {noformat}
> from pyspark.sql.functions import pandas_udf
> from pyspark.sql.functions import col, lit
> from pyspark.sql.types import LongType
> df = spark.range(3)
> f = pandas_udf(lambda x, y: len(x) + y, LongType())
> df.select(f(lit('text'), col('id'))).show()
> {noformat}
> {noformat}
> from pyspark.sql.functions import udf
> from pyspark.sql.functions import col, lit
> from pyspark.sql.types import LongType
> df = spark.range(3)
> f = udf(lambda x, y: len(x) + y, LongType())
> df.select(f(lit('text'), col('id'))).show()
> {noformat}
> The results of pandas_udf are different from udf.
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