SparkR (version 2.1.2)

sample: Sample

Description

Return a sampled subset of this SparkDataFrame using a random seed. Note: this is not guaranteed to provide exactly the fraction specified of the total count of of the given SparkDataFrame.

Usage

sample(x, withReplacement, fraction, seed)
sample_frac(x, withReplacement, fraction, seed)
# S4 method for SparkDataFrame,logical,numeric
sample(x, withReplacement, fraction,
  seed)
# S4 method for SparkDataFrame,logical,numeric
sample_frac(x, withReplacement,
  fraction, seed)

Arguments

x

A SparkDataFrame

withReplacement

Sampling with replacement or not

fraction

The (rough) sample target fraction

seed

Randomness seed value

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg, arrange, as.data.frame, attach, cache, 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, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, take, union, unpersist, withColumn, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.text

Examples

# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
collect(sample(df, FALSE, 0.5))
collect(sample(df, TRUE, 0.5))
# }