[jira] [Created] (SPARK-21582) DataFrame.withColumnRenamed cause huge performance overhead

["GuangFancui(ISCAS) (JIRA)" <ji...@apache.org>]

GuangFancui(ISCAS) created SPARK-21582:
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             Summary: DataFrame.withColumnRenamed cause huge performance overhead
                 Key: SPARK-21582
                 URL: https://issues.apache.org/jira/browse/SPARK-21582
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.1.0
            Reporter: GuangFancui(ISCAS)


Table "item_feature" (DataFrame) has over 900 columns. 
When I use

{code:java}
val nameSequeceExcept = Set("gid","category_name","merchant_id")
val df1 = spark.table("item_feature")
val newdf1 = df1.schema.map(_.name).filter(name => !nameSequeceExcept.contains(name)).foldLeft(df1)((df1, name) => df1.withColumnRenamed(name, name + "_1" ))
{code}


It took over 30 minutes.

*PID* in stack file is *0x126d*
It seems that _transform_ took too long time.



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