You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/01/07 02:43:00 UTC
[jira] [Updated] (SPARK-22980) Wrong answer when using pandas_udf
[ https://issues.apache.org/jira/browse/SPARK-22980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li updated SPARK-22980:
----------------------------
Priority: Blocker (was: Major)
> Wrong answer when using pandas_udf
> ----------------------------------
>
> 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
> Priority: Blocker
>
> {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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org