| 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, except,
explain, filter,
first, gapplyCollect,
gapply, getNumPartitions,
group_by, head,
hint, histogram,
insertInto, intersect,
isLocal, isStreaming,
join, limit,
localCheckpoint, merge,
mutate, ncol,
nrow, persist,
printSchema, randomSplit,
rbind, registerTempTable,
rename, 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)