withColumnRenamed {SparkR} | R Documentation |
Rename an existing column in a SparkDataFrame.
## S4 method for signature 'SparkDataFrame,character,character' withColumnRenamed(x, existingCol, newCol) ## S4 method for signature 'SparkDataFrame' rename(x, ...) rename(x, ...) withColumnRenamed(x, existingCol, newCol)
x |
A SparkDataFrame |
existingCol |
The name of the column you want to change. |
newCol |
The new column name. |
newColPair |
A named pair of the form new_column_name = existing_column |
A SparkDataFrame with the column name changed.
Other SparkDataFrame functions: $
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$<-
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select,SparkDataFrame,Column-method
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summarize
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attach
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attach,SparkDataFrame-method
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cache
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colnames
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columns
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describe
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summary,GeneralizedLinearRegressionModel-method
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summary,KMeansModel-method
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unique
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persist
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rbind
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unionAll
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registerTempTable
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repartition
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saveAsParquetFile
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saveAsTable
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saveDF
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write.df
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showDF
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show,GroupedData-method
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take
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withColumn
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write.json
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write.text
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## Not run: sc <- sparkR.init() sqlContext <- sparkRSQL.init(sc) path <- "path/to/file.json" df <- read.json(sqlContext, path) newDF <- withColumnRenamed(df, "col1", "newCol1") ## End(Not run) ## Not run: sc <- sparkR.init() sqlContext <- sparkRSQL.init(sc) path <- "path/to/file.json" df <- read.json(sqlContext, path) newDF <- rename(df, col1 = df$newCol1) ## End(Not run)