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.


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