Apache Spark Scala : groupbykey maintains order of values in input RDD or not

Question

May be i am asking very basic question apology for that, but i didn't find it's answer on internet. Is groupBykey maintains order of values. Value which occur first in input RDD should come first in the Output RDD. I tried this and it is mainlining that order, but i wanted to confirm that from expert. I need something like below Input RDD [Int, Int] 1 20 2 10 1 8 1 25 Output RDD 1 20 8 25 2 10 JavaScript questions and answers, JavaScript questions pdf, JavaScript question bank, JavaScript questions and answers pdf, mcq on JavaScript pdf, JavaScript questions and solutions, JavaScript mcq Test , Interview JavaScript questions, JavaScript Questions for Interview, JavaScript MCQ (Multiple Choice Questions)

Answer 1

No. Group the values for each key in the RDD into a single sequence. Hash-partitions the resulting RDD with the existing partitioner/parallelism level. The ordering of elements within each group is not guaranteed, and may even differ each time the resulting RDD is evaluated. https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.rdd.PairRDDFunctions@groupByKey():org.apache.spark.rdd.RDD[(K,Iterable[V])]