SparkR (version 2.1.2)

drop: drop

Description

Returns a new SparkDataFrame with columns dropped. This is a no-op if schema doesn't contain column name(s).

Usage

drop(x, ...)
# S4 method for SparkDataFrame
drop(x, col)
# S4 method for ANY
drop(x)

Arguments

x

a SparkDataFrame.

...

further arguments to be passed to or from other methods.

col

a character vector of column names or a Column.

Value

A SparkDataFrame.

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg, arrange, as.data.frame, attach, cache, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, dapplyCollect, dapply, describe, dim, distinct, dropDuplicates, dropna, dtypes, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, take, union, unpersist, withColumn, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.text

Examples

# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
drop(df, "col1")
drop(df, c("col1", "col2"))
drop(df, df$col1)
# }