| attach {SparkR} | R Documentation |
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.
attach(what, pos = 2L, name = deparse(substitute(what)), warn.conflicts = TRUE) ## S4 method for signature 'SparkDataFrame' attach(what, pos = 2, name = deparse(substitute(what)), warn.conflicts = TRUE)
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 |
Other SparkDataFrame functions: SparkDataFrame-class,
[[, agg,
arrange, as.data.frame,
cache, collect,
colnames, coltypes,
columns, count,
dapply, describe,
dim, distinct,
dropDuplicates, dropna,
drop, dtypes,
except, explain,
filter, first,
group_by, head,
histogram, insertInto,
intersect, isLocal,
join, limit,
merge, mutate,
ncol, persist,
printSchema,
registerTempTable, rename,
repartition, sample,
saveAsTable, selectExpr,
select, showDF,
show, str,
take, unionAll,
unpersist, withColumn,
write.df, write.jdbc,
write.json, write.parquet,
write.text
## Not run:
##D attach(irisDf)
##D summary(Sepal_Width)
## End(Not run)