Short answer: Nope Less short answer: Spark is not designed to maintain sort order in this case... it *may*, but there's no guarantee... generally, it would not be in the same order unless you implement something to order by and then sort the result based on that.
-- Chris Miller On Wed, Mar 16, 2016 at 10:16 AM, JoneZhang <joyoungzh...@gmail.com> wrote: > Step1 > List<String> items = new ArrayList<String>();items.addAll(XXX); > javaSparkContext.parallelize(items).saveAsTextFile(output); > Step2 > final List<String> items2 = ctx.textFile(output).collect(); > > Does items and items2 has the same order? > > > Besh wishes. > Thanks. > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Does-parallelize-and-collect-preserve-the-original-order-of-list-tp26512.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
