[jira] [Resolved] (SPARK-18226) SparkR displaying vector columns in incorrect way

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-18226.
----------------------------------
    Resolution: Incomplete

> SparkR displaying vector columns in incorrect way
> -------------------------------------------------
>
>                 Key: SPARK-18226
>                 URL: https://issues.apache.org/jira/browse/SPARK-18226
>             Project: Spark
>          Issue Type: Bug
>          Components: SparkR
>    Affects Versions: 2.0.0
>            Reporter: Grzegorz Chilkiewicz
>            Priority: Trivial
>              Labels: bulk-closed
>
> I have encountered a problem with SparkR presenting Spark vectors from org.apache.spark.mllib.linalg package
> * `head(df)` shows in vector column: "<environment: 0x2bd5d10>"
> * cast to string does not work as expected, it shows: "[1,null,null,org.apache.spark.sql.catalyst.expressions.UnsafeArrayData@79f50a91]"
> * `showDF(df)` work correctly
> to reproduce, start SparkR and paste following code (example taken from https://spark.apache.org/docs/latest/sparkr.html#naive-bayes-model)
> {code}
> # Fit a Bernoulli naive Bayes model with spark.naiveBayes
> titanic <- as.data.frame(Titanic)
> titanicDF <- createDataFrame(titanic[titanic$Freq > 0, -5])
> nbDF <- titanicDF
> nbTestDF <- titanicDF
> nbModel <- spark.naiveBayes(nbDF, Survived ~ Class + Sex + Age)
> # Model summary
> summary(nbModel)
> # Prediction
> nbPredictions <- predict(nbModel, nbTestDF)
> #########################################
> # My modification to expose the problem #
> nbPredictions$rawPrediction_str <- cast(nbPredictions$rawPrediction, "string")
> head(nbPredictions)
> showDF(nbPredictions)
> {code}



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