[jira] [Resolved] (SPARK-17214) How to deal with dots (.) present in column names in SparkR

["Mohit Bansal (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mohit Bansal resolved SPARK-17214.
----------------------------------
    Resolution: Later

> How to deal with dots (.) present in column names in SparkR
> -----------------------------------------------------------
>
>                 Key: SPARK-17214
>                 URL: https://issues.apache.org/jira/browse/SPARK-17214
>             Project: Spark
>          Issue Type: Bug
>            Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in column names. After reading the file I tried to change the names and replaced "." with "_". Still I am not able to do any operation on the created SDF. Here is the reproducible code:
> -------------------------------------------------------------------------------
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$Sepal_Length,iris_sdf$Sepal_Width))
> ---------------------------------------------------------------------------------
> 16/08/24 13:51:24 ERROR RBackendHandler: dfToCols on org.apache.spark.sql.api.r.SQLUtils failed
> Error in invokeJava(isStatic = TRUE, className, methodName, ...) : 
>   org.apache.spark.sql.AnalysisException: Unable to resolve Sepal.Length given [Sepal.Length, Sepal.Width, Petal.Length, Petal.Width, Species];
>     at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolve$1$$anonfun$apply$5.apply(LogicalPlan.scala:134)
>     at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolve$1$$anonfun$apply$5.apply(LogicalPlan.scala:134)
>     at scala.Option.getOrElse(Option.scala:121)
>     at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolve$1.apply(LogicalPlan.scala:133)
>     at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolve$1.apply(LogicalPlan.scala:129)
>     at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>     at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>     at scala.collection.Iterator$class.foreach(Iterator.scala:893)
>     at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
>     at scala.collection.IterableLike$cl
> What should I do to get it work?



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