Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/8764#discussion_r39518558
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/local/SampleNode.scala
---
@@ -51,18 +50,15 @@ case class SampleNode(
override def open(): Unit = {
child.open()
- val (sampler, _seed) = if (withReplacement) {
- val random = new Random(seed)
+ val sampler =
+ if (withReplacement) {
// Disable gap sampling since the gap sampling method buffers two
rows internally,
// requiring us to copy the row, which is more expensive than the
random number generator.
- (new PoissonSampler[InternalRow](upperBound - lowerBound,
useGapSamplingIfPossible = false),
- // Use the seed for partition 0 like PartitionwiseSampledRDD to
generate the same result
- // of DataFrame
- random.nextLong())
--- End diff --
I was using `DataFrame.sample` to test SampleNode and it mocked the
behavior of `DataFrame.sample(withReplacement = true)`. Since you don't use
DataFrame to test it now, I agree that we can remove this tricky logic.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
