| sample {SparkR} | R Documentation |
Return a sampled subset of this SparkDataFrame using a random seed.
sample(x, withReplacement, fraction, seed) sample_frac(x, withReplacement, fraction, seed) ## S4 method for signature 'SparkDataFrame,logical,numeric' sample(x, withReplacement, fraction, seed) ## S4 method for signature 'SparkDataFrame,logical,numeric' sample_frac(x, withReplacement, fraction, seed)
x |
A SparkDataFrame |
withReplacement |
Sampling with replacement or not |
fraction |
The (rough) sample target fraction |
seed |
Randomness seed value |
Other SparkDataFrame functions: SparkDataFrame-class,
[[, agg,
arrange, as.data.frame,
attach, 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, saveAsTable,
selectExpr, select,
showDF, show,
str, take,
unionAll, unpersist,
withColumn, write.df,
write.jdbc, write.json,
write.parquet, write.text
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D collect(sample(df, FALSE, 0.5))
##D collect(sample(df, TRUE, 0.5))
## End(Not run)