| collect {SparkR} | R Documentation |
Collects all the elements of a SparkDataFrame and coerces them into an R data.frame.
collect(x, ...) ## S4 method for signature 'SparkDataFrame' collect(x, stringsAsFactors = FALSE)
x |
a SparkDataFrame. |
... |
further arguments to be passed to or from other methods. |
stringsAsFactors |
(Optional) a logical indicating whether or not string columns should be converted to factors. FALSE by default. |
collect since 1.4.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, alias,
arrange, as.data.frame,
attach,SparkDataFrame-method,
broadcast, cache,
checkpoint, coalesce,
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
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D collected <- collect(df)
##D class(collected)
##D firstName <- names(collected)[1]
## End(Not run)