select {SparkR} | R Documentation |
Selects a set of columns with names or Column expressions.
select(x, col, ...) ## S4 method for signature 'SparkDataFrame' x$name ## S4 replacement method for signature 'SparkDataFrame' x$name <- value ## S4 method for signature 'SparkDataFrame,character' select(x, col, ...) ## S4 method for signature 'SparkDataFrame,Column' select(x, col, ...) ## S4 method for signature 'SparkDataFrame,list' select(x, col)
x |
a SparkDataFrame. |
col |
a list of columns or single Column or name. |
... |
additional column(s) if only one column is specified in |
name |
name of a Column (without being wrapped by |
value |
a Column or an atomic vector in the length of 1 as literal value, or |
A new SparkDataFrame with selected columns.
$ since 1.4.0
$<- since 1.4.0
select(SparkDataFrame, character) since 1.4.0
select(SparkDataFrame, Column) since 1.4.0
select(SparkDataFrame, list) since 1.4.0
Other SparkDataFrame functions: SparkDataFrame-class
,
agg
, alias
,
arrange
, as.data.frame
,
attach,SparkDataFrame-method
,
broadcast
, cache
,
checkpoint
, coalesce
,
collect
, colnames
,
coltypes
,
createOrReplaceTempView
,
crossJoin
, cube
,
dapplyCollect
, dapply
,
describe
, dim
,
distinct
, dropDuplicates
,
dropna
, drop
,
dtypes
, exceptAll
,
except
, explain
,
filter
, first
,
gapplyCollect
, gapply
,
getNumPartitions
, group_by
,
head
, hint
,
histogram
, insertInto
,
intersectAll
, intersect
,
isLocal
, isStreaming
,
join
, limit
,
localCheckpoint
, merge
,
mutate
, ncol
,
nrow
, persist
,
printSchema
, randomSplit
,
rbind
, rename
,
repartitionByRange
,
repartition
, rollup
,
sample
, saveAsTable
,
schema
, selectExpr
,
showDF
, show
,
storageLevel
, str
,
subset
, summary
,
take
, toJSON
,
unionAll
, unionByName
,
union
, unpersist
,
withColumn
, withWatermark
,
with
, write.df
,
write.jdbc
, write.json
,
write.orc
, write.parquet
,
write.stream
, write.text
Other subsetting functions: filter
,
subset
## Not run:
##D select(df, "*")
##D select(df, "col1", "col2")
##D select(df, df$name, df$age + 1)
##D select(df, c("col1", "col2"))
##D select(df, list(df$name, df$age + 1))
##D # Similar to R data frames columns can also be selected using $
##D df[,df$age]
## End(Not run)