[jira] [Created] (SPARK-13905) Change implementation of as.data.frame() to avoid conflict with the ones in the R base package

["Sun Rui (JIRA)" <ji...@apache.org>]

Sun Rui created SPARK-13905:
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             Summary: Change implementation of as.data.frame() to avoid conflict with the ones in the R base package
                 Key: SPARK-13905
                 URL: https://issues.apache.org/jira/browse/SPARK-13905
             Project: Spark
          Issue Type: Improvement
          Components: SparkR
    Affects Versions: 1.6.1
            Reporter: Sun Rui


SparkR provides a method as.data.frame() to collect a SparkR DataFrame into a local data.frame. But it conflicts the methods with the same name in the R base package.

For example,
{code}
code as follows - 
countData <- matrix(1:100,ncol=4)
condition <- factor(c("A","A","B","B"))
dds <- DESeqDataSetFromMatrix(countData, DataFrame(condition), ~ condition)

Works if i dont initialize the sparkR environment. 
 if I do library(SparkR) and sqlContext <- sparkRSQL.init(sc)  it gives following error 

> dds <- DESeqDataSetFromMatrix(countData, as.data.frame(condition), ~ condition)
Error in DataFrame(colData, row.names = rownames(colData)) : 
  cannot coerce class "data.frame" to a DataFrame
{code}

The implementation of as.data.frame() in SparkR can be improved to avoid conflict with those in the R base package.



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