Frank Rosner created SPARK-12823:
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Summary: Cannot create UDF with StructType input
Key: SPARK-12823
URL: https://issues.apache.org/jira/browse/SPARK-12823
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.5.2
Reporter: Frank Rosner
h5. Problem
It is not possible to apply a UDF to a column that has a struct data type. Two
previous requests to the mailing list remained unanswered.
h5. How-To-Reproduce
{code}
val sql = new org.apache.spark.sql.SQLContext(sc)
import sql.implicits._
case class KV(key: Long, value: String)
case class Row(kv: KV)
val df = sc.parallelize(List(Row(KV(1L, "a")), Row(KV(5L, "b")))).toDF
val udf1 = org.apache.spark.sql.functions.udf((kv: KV) => kv.value)
df.select(udf1(df("kv"))).show
// java.lang.ClassCastException:
org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema cannot be cast
to $line78.$read$$iwC$$iwC$KV
val udf2 = org.apache.spark.sql.functions.udf((kv: (Long, String)) => kv._2)
df.select(udf2(df("kv"))).show
// org.apache.spark.sql.AnalysisException: cannot resolve 'UDF(kv)' due to data
type mismatch: argument 1 requires struct<_1:bigint,_2:string> type, however,
'kv' is of struct<key:bigint,value:string> type.;
{code}
h5. Mailing List Entries
-
https://mail-archives.apache.org/mod_mbox/spark-user/201511.mbox/%3CCACUahd8M=ipCbFCYDyein_=vqyoantn-tpxe6sq395nh10g...@mail.gmail.com%3E
- https://www.mail-archive.com/[email protected]/msg43092.html
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