[jira] [Resolved] (SPARK-16918) Weird error when selecting more than 100 spark udf columns

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-16918.
-------------------------------
    Resolution: Not A Problem

OK, it's probably a duplicate of something else then but I don't know what.

> Weird error when selecting more than 100 spark udf columns
> ----------------------------------------------------------
>
>                 Key: SPARK-16918
>                 URL: https://issues.apache.org/jira/browse/SPARK-16918
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, SQL
>    Affects Versions: 1.6.1
>            Reporter: Phi Hung LE
>
> Starting with a simple spark dataframe with only one value, I create N simple udf columns.
> {code}
> N = 100
> df = sqlContext.createDataFrame([{'value': 0}])
> udf_columns = [pyspark.sql.functions.udf(lambda x: 0)('value') for _ in range(N)]
> df.select(udf_columns).take(1)
> {code}
> For N <= 100 this code works perfectly. But as soon as N >= 101, I found the following error
> {code}
> Py4JJavaError: An error occurred while calling z:org.apache.spark.sql.execution.EvaluatePython.takeAndServe.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 34.0 failed 1 times, most recent failure: Lost task 0.0 in stage 34.0 (TID 50, localhost): java.lang.UnsupportedOperationException: Cannot evaluate expression: PythonUDF#<lambda>(input[0, LongType])
>     at org.apache.spark.sql.catalyst.expressions.Unevaluable$class.genCode(Expression.scala:239)
>     at org.apache.spark.sql.execution.PythonUDF.genCode(python.scala:44)
>     at org.apache.spark.sql.catalyst.expressions.Expression$$anonfun$gen$2.apply(Expression.
> {code}



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