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https://issues.apache.org/jira/browse/SPARK-12234?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shivaram Venkataraman resolved SPARK-12234.
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Resolution: Fixed
Assignee: Yanbo Liang
Fix Version/s: 1.6.0
Resolved by https://github.com/apache/spark/pull/10217
> SparkR subset throw error when only set "select" argument
> ---------------------------------------------------------
>
> Key: SPARK-12234
> URL: https://issues.apache.org/jira/browse/SPARK-12234
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Reporter: Yanbo Liang
> Assignee: Yanbo Liang
> Fix For: 1.6.0
>
>
> SparkR subset function throw error when only set "select" argument, it's easy
> to repreduce.
> In SparkR:
> {code}
> > df <- suppressWarnings(createDataFrame(sqlContext, iris))
> > subset(df, select=c("Sepal_Length", "Petal_Length", "Species"))
> Error in x[subset, select, ...] :
> error in evaluating the argument 'i' in selecting a method for function
> '[': Error: argument "subset" is missing, with no default
> {code}
> But in base R, the subset function works well with only specifying "select"
> argument:
> {code}
> > df <- iris
> > subset(df, select=c("Sepal.Length", "Petal.Length", "Species"))
> Sepal.Length Petal.Length Species
> 1 5.1 1.4 setosa
> 2 4.9 1.4 setosa
> 3 4.7 1.3 setosa
> 4 4.6 1.5 setosa
> 5 5.0 1.4 setosa
> ......
> {code}
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