[
https://issues.apache.org/jira/browse/SPARK-13905?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sun Rui updated SPARK-13905:
----------------------------
Description: (was: 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.)
> Change signature of as.data.frame() to be consistent with 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
>
--
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
