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

["Phi Hung LE (JIRA)" <ji...@apache.org>]

Phi Hung LE created SPARK-16918:
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             Summary: 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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