Franklyn Dsouza created SPARK-15811: ---------------------------------------
Summary: 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 Priority: Blocker Fix For: 2.0.0 I've built spark-2.0-preview (8f5a04b) with scala-2.10 using the following ./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 and then ran the following code in a pyspark shell 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 = spark.createDataFrame([Row(a=1),Row(a=2)], schema) df.select(add_one(df.a).alias('incremented')).collect() This never returns with a result. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org