[jira] [Resolved] (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: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$cl
> What should I do to get it work?
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435257#comment-15435257
]
Mohit Bansal commented on SPARK-17214:
--
If I am not wrong,
Following command is used to update the column names:
names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
moreover when I am running schema(iris_sdf), it is showing column names with
underscores(_)
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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$cl
> What should I do to get it work?
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435232#comment-15435232
]
Mohit Bansal commented on SPARK-17214:
--
[~srowen]
Sorry, but I don't think so...
I understand that dots(.) are not acceptable by SparkDataFrame, but I have
replaced all the dots (.) with underscore(_).
Still SparkR is not allowing me to access the column names with underscores.
Thanks in advance for your help
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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$cl
> What should I do to get it work?
--
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[jira] [Commented] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435135#comment-15435135
]
Mohit Bansal commented on SPARK-17214:
--
[~sowen]
Done
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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$cl
> What should I do to get it work?
--
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[jira] [Updated] (SPARK-17214) How to deal with dots (.) present in column names in SparkR
[
https://issues.apache.org/jira/browse/SPARK-17214?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mohit Bansal updated SPARK-17214:
-
Description:
I am trying to load a local csv file into SparkR, which contains dots in column
names. After reading the file I tried to change the names and replaced "." with
"_". Still I am not able to do any operation on the created SDF. Here is the
reproducible code:
---
#writing iris dataset to local
write.csv(iris,"iris.csv",row.names=F)
#reading it back using read.df
iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
#changing column names
names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
#selecting required columna
head(select(iris_sdf,iris_sdf$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$cl
What should I do to get it work?
was:http://stackoverflow.com/questions/39125255/how-to-deal-with-dots-in-column-names-in-sparkr
Summary: How to deal with dots (.) present in column names in SparkR
(was: Even after replacing the column names having dots , still it is referring
to previous column names in SparkR ref:
http://stackoverflow.com/questions/39125255/how-to-deal-with-dots-in-column-names-in-sparkr)
> How to deal with dots (.) present in column names in SparkR
> ---
>
> Key: SPARK-17214
> URL: https://issues.apache.org/jira/browse/SPARK-17214
> Project: Spark
> Issue Type: Bug
>Reporter: Mohit Bansal
>
> I am trying to load a local csv file into SparkR, which contains dots in
> column names. After reading the file I tried to change the names and replaced
> "." with "_". Still I am not able to do any operation on the created SDF.
> Here is the reproducible code:
> ---
> #writing iris dataset to local
> write.csv(iris,"iris.csv",row.names=F)
> #reading it back using read.df
> iris_sdf<-read.df("iris.csv","csv",header="true",inferSchema="true")
> #changing column names
> names(iris_sdf)<-c("Sepal_Length","Sepal_Width","Petal_Length","Petal_Width","Species")
> #selecting required columna
> head(select(iris_sdf,iris_sdf$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 s
[jira] [Created] (SPARK-17214) Even after replacing the column names having dots , still it is referring to previous column names in SparkR ref: http://stackoverflow.com/questions/39125255/how-to-deal
Mohit Bansal created SPARK-17214: Summary: Even after replacing the column names having dots , still it is referring to previous column names in SparkR ref: http://stackoverflow.com/questions/39125255/how-to-deal-with-dots-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 http://stackoverflow.com/questions/39125255/how-to-deal-with-dots-in-column-names-in-sparkr -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
