Weird!
On 8/8/16, 11:10 AM, "Sean Owen" <so...@cloudera.com> wrote: >I also don't know what's going on with the "This post has NOT been >accepted by the mailing list yet" message, because actually the >messages always do post. In fact this has been sent to the list 4 >times: > >https://www.mail-archive.com/search?l=user%40spark.apache.org&q=dueckm&submit.x=0&submit.y=0 > >On Mon, Aug 8, 2016 at 3:03 PM, Chris Mattmann <mattm...@apache.org> wrote: >> >> >> >> >> >> On 8/8/16, 2:03 AM, "matthias.du...@fiduciagad.de" >> <matthias.du...@fiduciagad.de> wrote: >> >>>Hello, >>> >>>I write to you because I am not really sure whether I did everything right >>>when registering and subscribing to the spark user list. >>> >>>I posted the appended question to Spark User list after subscribing and >>>receiving the "WELCOME to user@spark.apache.org" mail from >>>"user-h...@spark.apache.org". >>> But this post is still in state "This post has NOT been accepted by the >>> mailing list yet.". >>> >>>Is this because I forgot something to do or did something wrong with my user >>>account (dueckm)? Or is it because no member of the Spark User List reacted >>>to that post yet? >>> >>>Thanks a lot for yout help. >>> >>>Matthias >>> >>>Fiducia & GAD IT AG | www.fiduciagad.de >>>AG Frankfurt a. M. HRB 102381 | Sitz der Gesellschaft: Hahnstr. 48, 60528 >>>Frankfurt a. M. | USt-IdNr. DE 143582320 >>>Vorstand: Klaus-Peter Bruns (Vorsitzender), Claus-Dieter Toben (stv. >>>Vorsitzender), >>> >>>Jens-Olaf Bartels, Martin Beyer, Jörg Dreinhöfer, Wolfgang Eckert, Carsten >>>Pfläging, Jörg Staff >>>Vorsitzender des Aufsichtsrats: Jürgen Brinkmann >>> >>>----- Weitergeleitet von Matthias Dück/M/FAG/FIDUCIA/DE am 08.08.2016 10:57 >>>----- >>> >>>Von: dueckm <matthias.du...@fiduciagad.de> >>>An: user@spark.apache.org >>>Datum: 04.08.2016 13:27 >>>Betreff: Are join/groupBy operations with wide Java Beans using Dataset API >>>much slower than using RDD API? >>> >>>________________________________________ >>> >>> >>> >>>Hello, >>> >>>I built a prototype that uses join and groupBy operations via Spark RDD API. >>>Recently I migrated it to the Dataset API. Now it runs much slower than with >>>the original RDD implementation. >>>Did I do something wrong here? Or is this a price I have to pay for the more >>>convienient API? >>>Is there a known solution to deal with this effect (eg configuration via >>>"spark.sql.shuffle.partitions" - but now could I determine the correct >>>value)? >>>In my prototype I use Java Beans with a lot of attributes. Does this slow >>>down Spark-operations with Datasets? >>> >>>Here I have an simple example, that shows the difference: >>>JoinGroupByTest.zip >>><http://apache-spark-user-list.1001560.n3.nabble.com/file/n27473/JoinGroupByTest.zip> >>>- I build 2 RDDs and join and group them. Afterwards I count and display the >>>joined RDDs. (Method de.testrddds.JoinGroupByTest.joinAndGroupViaRDD() ) >>>- When I do the same actions with Datasets it takes approximately 40 times >>>as long (Methodd e.testrddds.JoinGroupByTest.joinAndGroupViaDatasets()). >>> >>>Thank you very much for your help. >>>Matthias >>> >>>PS1: excuse me for sending this post more than once, but I am new to this >>>mailing list and probably did something wrong when registering/subscribing, >>>so my previous postings have not been accepted ... >>> >>>PS2: See the appended screenshots taken from Spark UI (jobs 0/1 belong to >>>RDD implementation, jobs 2/3 to Dataset): >>><http://apache-spark-user-list.1001560.n3.nabble.com/file/n27473/jobs.png> >>> >>><http://apache-spark-user-list.1001560.n3.nabble.com/file/n27473/Job_RDD_Details.png> >>> >>><http://apache-spark-user-list.1001560.n3.nabble.com/file/n27473/Job_Dataset_Details.png> >>> >>> >>> >>> >>>-- >>>View this message in context: >>>http://apache-spark-user-list.1001560.n3.nabble.com/Are-join-groupBy-operations-with-wide-Java-Beans-using-Dataset-API-much-slower-than-using-RDD-API-tp27473.html >>>Sent from the Apache Spark User List mailing list archive at Nabble.com. >>> >>>--------------------------------------------------------------------- >>>To unsubscribe e-mail: user-unsubscr...@spark.apache.org >>> >> >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
