| attach,SparkDataFrame-method {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.
## S4 method for signature 'SparkDataFrame' attach(what, pos = 2L, name = deparse(substitute(what), backtick = FALSE), 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 |
attach since 1.6.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, arrange,
as.data.frame, cache,
checkpoint, coalesce,
collect, colnames,
coltypes,
createOrReplaceTempView,
crossJoin, dapplyCollect,
dapply, describe,
dim, distinct,
dropDuplicates, dropna,
drop, dtypes,
except, explain,
filter, first,
gapplyCollect, gapply,
getNumPartitions, group_by,
head, hint,
histogram, insertInto,
intersect, isLocal,
isStreaming, join,
limit, merge,
mutate, ncol,
nrow, persist,
printSchema, randomSplit,
rbind, registerTempTable,
rename, repartition,
sample, saveAsTable,
schema, selectExpr,
select, showDF,
show, storageLevel,
str, subset,
take, toJSON,
union, unpersist,
withColumn, with,
write.df, write.jdbc,
write.json, write.orc,
write.parquet, write.stream,
write.text
## Not run:
##D attach(irisDf)
##D summary(Sepal_Width)
## End(Not run)