attach: Attach SparkDataFrame to R search path

In SparkR: R Front End for 'Apache Spark'

Description

The specified SparkDataFrame is attached to the R search path. This means that the SparkDataFrame is searched by R when evaluating a variable, so columns in the SparkDataFrame can be accessed by simply giving their names.

Usage

## S4 method for signature 'SparkDataFrame'
attach(
  what,
  pos = 2L,
  name = paste(deparse(substitute(what), backtick = FALSE), collapse = " "),
  warn.conflicts = TRUE
)

Arguments

what	(SparkDataFrame) The SparkDataFrame to attach
pos	(integer) Specify position in search() where to attach.
name	(character) Name to use for the attached SparkDataFrame. Names starting with package: are reserved for library.
warn.conflicts	(logical) If TRUE, warnings are printed about conflicts from attaching the database, unless that SparkDataFrame contains an object

Note

attach since 1.6.0

See Also

detach

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), 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(), select(), 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()

Examples

## Not run: 
attach(irisDf)
summary(Sepal_Width)

## End(Not run)

SparkR documentation built on June 3, 2021, 5:05 p.m.