drop {SparkR}R Documentation

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 signature 'SparkDataFrame'
drop(x, col)

## S4 method for signature '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.

Note

drop since 2.0.0

See Also

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, dtypes, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, hint, histogram, insertInto, intersect, isLocal, isStreaming, join, limit, localCheckpoint, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, rollup, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, summary, take, toJSON, unionByName, union, unpersist, withColumn, withWatermark, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.stream, write.text

Examples

## Not run: 
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D drop(df, "col1")
##D drop(df, c("col1", "col2"))
##D drop(df, df$col1)
## End(Not run)

[Package SparkR version 2.3.2 Index]