We can include the last element in the last slice in general for inclusive

range, hence eliminate the need to check Int.MaxValue or Int.MinValue.

Author: advancedxy

core/src/main/scala/org/apache/spark/rdd/ParallelCollectionRDD.scala

@@ -128,11 +128,9 @@ private object ParallelCollectionRDD {
     }
     seq match {
       case r: Range => {
-        // 1 to Int.MaxValue and (-2 to Int.MinValue by -1) can trigger exclusive range int overflow
-        val needsInclusiveRange = r.isInclusive && (r.end == Int.MaxValue || r.end == Int.MinValue)
         positions(r.length, numSlices).zipWithIndex.map({ case ((start, end), index) =>
-          // If the range needs to be inclusive, include the last element in the last slice
-          if (needsInclusiveRange && index == numSlices - 1) {
+          // If the range is inclusive, include the last element in the last slice
+          if (r.isInclusive && index == numSlices - 1) {
             new Range.Inclusive(r.start + start * r.step, r.end, r.step)
           }
           else {