[jira] [Commented] (SPARK-15811) Python UDFs do not work in Spark 2.0-preview built with scala 2.10

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-15811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334474#comment-15334474 ] 

Apache Spark commented on SPARK-15811:
--------------------------------------

User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/13717

> Python UDFs do not work in Spark 2.0-preview built with scala 2.10
> ------------------------------------------------------------------
>
>                 Key: SPARK-15811
>                 URL: https://issues.apache.org/jira/browse/SPARK-15811
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.0.0
>            Reporter: Franklyn Dsouza
>            Assignee: Davies Liu
>            Priority: Blocker
>
> I've built spark-2.0-preview (8f5a04b) with scala-2.10 using the following
> {code}
> ./dev/change-version-to-2.10.sh
> ./dev/make-distribution.sh -DskipTests -Dzookeeper.version=3.4.5 -Dcurator.version=2.4.0 -Dscala-2.10 -Phadoop-2.6  -Pyarn -Phive
> {code}
> and then ran the following code in a pyspark shell
> {code}
> from pyspark.sql import SparkSession 
> from pyspark.sql.types import IntegerType, StructField, StructType
> from pyspark.sql.functions import udf
> from pyspark.sql.types import Row
> spark = SparkSession.builder.master('local[4]').appName('2.0 DF').getOrCreate()
> add_one = udf(lambda x: x + 1, IntegerType())
> schema = StructType([StructField('a', IntegerType(), False)])
> df = sqlContext.createDataFrame([Row(a=1),Row(a=2)], schema)
> df.select(add_one(df.a).alias('incremented')).collect()
> {code}
> This never returns with a result. 



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