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https://issues.apache.org/jira/browse/SPARK-11990?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Armbrust resolved SPARK-11990.
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Resolution: Duplicate
Fix Version/s: 1.6.0
This is already fixed in Spark 1.6 by [SPARK-10371].
> DataFrame recompute UDF in some situation.
> ------------------------------------------
>
> Key: SPARK-11990
> URL: https://issues.apache.org/jira/browse/SPARK-11990
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.1
> Reporter: Yi Tian
> Fix For: 1.6.0
>
>
> Here is codes for reproducing this problem:
> {code}
> val mkArrayUDF = org.apache.spark.sql.functions.udf[Array[String],String]
> ((s: String) => {
> println("udf called")
> Array[String](s+"_part1", s+"_part2")
> })
>
> val df = sc.parallelize(Seq(("a"))).toDF("a")
> val df2 = df.withColumn("arr",mkArrayUDF(df("a")))
> val df3 = df2.withColumn("e0", df2("arr")(0)).withColumn("e1",
> df2("arr")(1))
> df3.collect().foreach(println)
> {code}
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