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Showing content from https://spark.apache.org/docs/latest/api/R/reference/rename.html below:

rename — rename • SparkR

Rename an existing column in a SparkDataFrame.

rename(x, ...)

withColumnRenamed(x, existingCol, newCol)

# S4 method for class 'SparkDataFrame,character,character'
withColumnRenamed(x, existingCol, newCol)

# S4 method for class 'SparkDataFrame'
rename(x, ...)

x

A SparkDataFrame

...

A named pair of the form new_column_name = existing_column

existingCol

The name of the column you want to change.

newCol

The new column name.

A SparkDataFrame with the column name changed.

withColumnRenamed since 1.4.0

rename since 1.4.0

mutate

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), colnames(), coltypes(), createOrReplaceTempView(), crossJoin(), cube(), dapplyCollect(), dapply(), describe(), dim(), distinct(), dropDuplicates(), dropna(), drop(), dtypes(), exceptAll(), except(), explain(), filter(), first(), gapplyCollect(), gapply(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersectAll(), intersect(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), repartitionByRange(), repartition(), rollup(), sample(), saveAsTable(), schema(), selectExpr(), select(), showDF(), show(), storageLevel(), str(), subset(), summary(), take(), toJSON(), unionAll(), unionByName(), union(), unpersist(), unpivot(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

if (FALSE) { # \dontrun{
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
newDF <- withColumnRenamed(df, "col1", "newCol1")
} # }
if (FALSE) { # \dontrun{
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
newDF <- rename(df, col1 = df$newCol1)
} # }

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