Hi Richard, Requirement is to get latest records using a key i think hash map is a good choice for this task. As of now data comes from third party and we are not sure what's the latest record is so hash map is chosen. Is there anything better than hash map please let me know.
Thanks Sri Sent from my iPad > On 10 Oct 2015, at 17:10, Richard Eggert <richard.egg...@gmail.com> wrote: > > Do you need the HashMap for anything else besides writing out to a file? If > not, there is really no need to create one at all. You could just keep > everything as RDDs. > >> On Oct 10, 2015 11:31 AM, "kali.tumm...@gmail.com" <kali.tumm...@gmail.com> >> wrote: >> Got it ..., created hashmap and saved it to file please follow below steps .. >> >> val QuoteRDD=quotefile.map(x => x.split("\\|")). >> filter(line => line(0).contains("1017")). >> map(x => ((x(5)+x(4)) , (x(5),x(4),x(1) , >> if (x(15) =="B") >> ( >> {if (x(25) == "") x(9) else x(25)}, >> {if (x(37) == "") x(11) else x(37)} >> ) >> else if (x(15) =="C" ) >> ( >> {if (x(24) == "") (x(9)) else x(24)}, >> {if (x(30) == "") (x(11)) else x(30)} >> ) >> else if (x(15) =="A") >> {(x(9),x(11))} >> ))) >> >> >> val QuoteHashMap=QuoteRDD.collect().toMap >> val test=QuoteHashMap.values.toSeq >> val test2=sc.parallelize(test.map(x => >> x.toString.replace("(","").replace(")",""))) >> test2.saveAsTextFile("C:\\Users\\kalit_000\\Desktop\\mkdata\\test.txt") >> test2.collect().foreach(println) >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Create-hashmap-using-two-RDD-s-tp24996p25014.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