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
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>----- 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>
>
>
>
>
>--
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