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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