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From "Dongjoon Hyun (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (SPARK-16918) Weird error when selecting more than 100 spark udf columns
Date Mon, 08 Aug 2016 05:04:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-16918?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15411287#comment-15411287
] 

Dongjoon Hyun edited comment on SPARK-16918 at 8/8/16 5:03 AM:
---------------------------------------------------------------

Hi, [~phihungle].
I met the same error in both 1.6.1 and 1.6.2 with your sample code. And, the problem seems
to be resolved in Apache Spark 2.0 release.
{code}
>>> N = 101
>>> 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)
[Row(<lambda>(value)=u'0', <lambda>(value)=u'0', ...
{code}


was (Author: dongjoon):
Hi, [~phihungle].
I met the same error in bot 1.6.1 and 1.6.2 with your sample code. And, the problem seems
to be resolved in Apache Spark 2.0 release.
{code}
>>> N = 101
>>> 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)
[Row(<lambda>(value)=u'0', <lambda>(value)=u'0', ...
{code}

> 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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