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From Chris Mattmann <mattm...@apache.org>
Subject Re: Have I done everything correctly when subscribing to Spark User List
Date Mon, 08 Aug 2016 18:42:15 GMT
Weird!





On 8/8/16, 11:10 AM, "Sean Owen" <sowen@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 <mattmann@apache.org> wrote:
>>
>>
>>
>>
>>
>> On 8/8/16, 2:03 AM, "Matthias.Dueck@fiduciagad.de" <Matthias.Dueck@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-help@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.dueck@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.
>>>
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>>>
>>
>>
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