attach,SparkDataFrame-method

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Attach SparkDataFrame to R search path

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 SparkDataFrame
attach(
  what,
  pos = 2L,
  name = deparse(substitute(what), backtick = FALSE),
  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(), unionByName(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Aliases
  • attach,SparkDataFrame-method
  • attach
Examples
# NOT RUN {
attach(irisDf)
summary(Sepal_Width)
# }
Documentation reproduced from package SparkR, version 2.4.6, License: Apache License (== 2.0)

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