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https://issues.apache.org/jira/browse/SPARK-10903?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14964494#comment-14964494
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Sun Rui commented on SPARK-10903:
---------------------------------
[~felixcheung], I did some experiment and found that S3 mechanism works.
createDataFrame <- function(x, ...) { seMethod("createDataFrame") }
createDataFrame.jobj <- function(sqlContext, data, schema = NULL, samplingRatio
= 1.0) {
CreateDataFrameInternal(sqlContext, data, schema, samplingRatio)
}
createDataFrame.default <- function(data, schema = NULL, samplingRatio = 1.0) {
createDataFrame(sqlContext, data, schema, samplingRatio)
}
Could you verify this?
> Make sqlContext global
> -----------------------
>
> Key: SPARK-10903
> URL: https://issues.apache.org/jira/browse/SPARK-10903
> Project: Spark
> Issue Type: Sub-task
> Components: SparkR
> Reporter: Narine Kokhlikyan
> Priority: Minor
>
> Make sqlContext global so that we don't have to always specify it.
> e.g. createDataFrame(iris) instead of createDataFrame(sqlContext, iris)
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