attach,SparkDataFrame-method {SparkR}R Documentation

Attach SparkDataFrame to R search path

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 = 2,
  name = deparse(substitute(what)), warn.conflicts = TRUE)

attach(what, pos = 2L, name = deparse(substitute(what)),
  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

See Also

detach

Other SparkDataFrame functions: $, $<-, select, select, select,SparkDataFrame,Column-method, select,SparkDataFrame,list-method, selectExpr; SparkDataFrame-class, dataFrame; [, [[, subset; agg, agg, count,GroupedData-method, summarize, summarize; arrange, arrange, arrange, orderBy, orderBy, orderBy, orderBy; as.data.frame, as.data.frame,SparkDataFrame-method; cache; collect; colnames, colnames, colnames<-, colnames<-, columns, names, names<-; coltypes, coltypes, coltypes<-, coltypes<-; columns, dtypes, printSchema, schema, schema; count, nrow; dapply, dapply, dapplyCollect, dapplyCollect; describe, describe, describe, summary, summary, summary,AFTSurvivalRegressionModel-method, summary,GeneralizedLinearRegressionModel-method, summary,KMeansModel-method, summary,NaiveBayesModel-method; dim; distinct, unique; dropDuplicates, dropDuplicates; dropna, dropna, fillna, fillna, na.omit, na.omit; drop, drop; dtypes; except, except; explain, explain; filter, filter, where, where; first, first; groupBy, groupBy, group_by, group_by; head; histogram; insertInto, insertInto; intersect, intersect; isLocal, isLocal; join; limit, limit; merge, merge; mutate, mutate, transform, transform; ncol; persist; printSchema; rbind, rbind, unionAll, unionAll; registerTempTable, registerTempTable; rename, rename, withColumnRenamed, withColumnRenamed; repartition; sample, sample, sample_frac, sample_frac; saveAsParquetFile, saveAsParquetFile, write.parquet, write.parquet; saveAsTable, saveAsTable; saveDF, saveDF, write.df, write.df, write.df; selectExpr; showDF, showDF; show, show, show,GroupedData-method, show,WindowSpec-method; str; take; unpersist; withColumn, withColumn; write.jdbc, write.jdbc; write.json, write.json; write.text, write.text

Examples

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

## End(Not run)

[Package SparkR version 2.0.0 Index]