[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15442870#comment-15442870
]
Felix Cheung commented on SPARK-17214:
--
I think the underlining issue is that we should either handle column names with
`.` correctly (preferred) or translate them uniformly as in other cases (eg.
`as.DataFrame`)
As of now a DataFrame from csv source can have `.` in column names and it is
unoperable until renamed:
{code}
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> iris_sdf
SparkDataFrame[Sepal.Length:double, Sepal.Width:double, Petal.Length:double,
Petal.Width:double, Species:string]
{code}
> 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$cl
> What should I do to get it work?
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15442865#comment-15442865
]
Felix Cheung commented on SPARK-17214:
--
[~bansalism] what version of Spark + SparkR are you testing with?
I ran your example and it worked
{code}
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> iris_sdf
SparkDataFrame[Sepal_Length:double, Sepal_Width:double, Petal_Length:double,
Petal_Width:double, Species:string]
> head(iris_sdf)
Sepal_Length Sepal_Width Petal_Length Petal_Width Species
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3.0 1.4 0.2 setosa
3 4.7 3.2 1.3 0.2 setosa
4 4.6 3.1 1.5 0.2 setosa
5 5.0 3.6 1.4 0.2 setosa
6 5.4 3.9 1.7 0.4 setosa
> a <- select(iris_sdf,iris_sdf$Sepal_Length,iris_sdf$Sepal_Width)
> head(a)
Sepal_Length Sepal_Width
1 5.1 3.5
2 4.9 3.0
3 4.7 3.2
4 4.6 3.1
5 5.0 3.6
6 5.4 3.9
>
{code}
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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$cl
> What should I do to get it work?
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15440966#comment-15440966
]
Sean Owen commented on SPARK-17214:
---
I think the issue is that the 'underlying' dataframe hasn't changed names. I
don't know if that's to be expected or not -- you're using regular R methods to
manipulate this right? CC [~felixcheung] who will actually know what he's
talking about.
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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$cl
> What should I do to get it work?
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435257#comment-15435257
]
Mohit Bansal commented on SPARK-17214:
--
If I am not wrong,
Following command is used to update the column names:
names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
moreover when I am running schema(iris_sdf), it is showing column names with
underscores(_)
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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$cl
> What should I do to get it work?
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435237#comment-15435237
]
Sean Owen commented on SPARK-17214:
---
Your error however shows
{code}
> org.apache.spark.sql.AnalysisException: Unable to resolve Sepal.Length
> given [Sepal.Length, Sepal.Width, Petal.Length, Petal.Width, Species];
{code}
I don't think you have replaced them.
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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$cl
> What should I do to get it work?
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435232#comment-15435232
]
Mohit Bansal commented on SPARK-17214:
--
[~srowen]
Sorry, but I don't think so...
I understand that dots(.) are not acceptable by SparkDataFrame, but I have
replaced all the dots (.) with underscore(_).
Still SparkR is not allowing me to access the column names with underscores.
Thanks in advance for your help
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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$cl
> What should I do to get it work?
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435173#comment-15435173
]
Sean Owen commented on SPARK-17214:
---
Duplicate of things like https://issues.apache.org/jira/browse/SPARK-16874 ?
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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$cl
> What should I do to get it work?
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435135#comment-15435135
]
Mohit Bansal commented on SPARK-17214:
--
[~sowen]
Done
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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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