Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/14181#discussion_r70771559
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -1536,21 +1536,26 @@ class Dataset[T] private[sql](
* Returns a new Dataset by sampling a fraction of rows.
*
* @param withReplacement Sample with replacement or not.
- * @param fraction Fraction of rows to generate.
+ * @param fraction Fraction of rows to generate and the range is 0.0 <
`fraction` < 1.0.
* @param seed Seed for sampling.
*
* @group typedrel
* @since 1.6.0
*/
def sample(withReplacement: Boolean, fraction: Double, seed: Long):
Dataset[T] = withTypedPlan {
- Sample(0.0, fraction, withReplacement, seed, logicalPlan)()
+ if (0.0 < fraction && fraction < 1.0) {
--- End diff --
If my understanding is correct, sampling is kind of extracting a
predetermined number of observations that are taken from a larger population. I
mean.. the definition of the word "sample" is "a small amount of something
that gives you information about the thing it was taken from".
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