Any thoughts about Spark and Erlang?
-- ttfn Simon Edelhaus California 2016 On Sun, Sep 4, 2016 at 1:00 AM, ayan guha <guha.a...@gmail.com> wrote: > Hi > > This one is quite interesting. Is it possible to share few toy examples? > > On Sun, Sep 4, 2016 at 5:23 PM, AssafMendelson <assaf.mendel...@rsa.com> > wrote: > >> I am not aware of any official testing but you can easily create your own. >> >> In testing I made I saw that python UDF were more than 10 times slower >> than scala UDF (and in some cases it was closer to 50 times slower). >> >> That said, it would depend on how you use your UDF. >> >> For example, lets say you have a 1 billion row table which you do some >> aggregation on and left with a 10K rows table. If you do the python UDF in >> the beginning then it might have a hard hit but if you do it on the 10K >> rows table then the overhead might be negligible. >> >> Furthermore, you can always write the UDF in scala and wrap it. >> >> This is something my team did. We have data scientists working on spark >> in python. Normally, they can use the existing functions to do what they >> need (Spark already has a pretty nice spread of functions which answer most >> of the common use cases). When they need a new UDF or UDAF they simply ask >> my team (which does the engineering) and we write them a scala one and then >> wrap it to be accessible from python. >> >> >> >> >> >> *From:* ayan guha [mailto:[hidden email] >> <http:///user/SendEmail.jtp?type=node&node=27650&i=0>] >> *Sent:* Friday, September 02, 2016 12:21 AM >> *To:* kant kodali >> *Cc:* Mendelson, Assaf; user >> *Subject:* Re: Scala Vs Python >> >> >> >> Thanks All for your replies. >> >> >> >> Feature Parity: >> >> >> >> MLLib, RDD and dataframes features are totally comparable. Streaming is >> now at par in functionality too, I believe. However, what really worries me >> is not having Dataset APIs at all in Python. I think thats a deal breaker. >> >> >> >> Performance: >> >> I do get this bit when RDDs are involved, but not when Data frame is the >> only construct I am operating on. Dataframe supposed to be >> language-agnostic in terms of performance. So why people think python is >> slower? is it because of using UDF? Any other reason? >> >> >> >> *Is there any kind of benchmarking/stats around Python UDF vs Scala UDF >> comparison? like the one out there b/w RDDs.* >> >> >> >> @Kant: I am not comparing ANY applications. I am comparing SPARK >> applications only. I would be glad to hear your opinion on why pyspark >> applications will not work, if you have any benchmarks please share if >> possible. >> >> >> >> >> >> >> >> >> >> >> >> On Fri, Sep 2, 2016 at 12:57 AM, kant kodali <[hidden email] >> <http:///user/SendEmail.jtp?type=node&node=27650&i=1>> wrote: >> >> c'mon man this is no Brainer..Dynamic Typed Languages for Large Code >> Bases or Large Scale Distributed Systems makes absolutely no sense. I can >> write a 10 page essay on why that wouldn't work so great. you might be >> wondering why would spark have it then? well probably because its ease of >> use for ML (that would be my best guess). >> >> >> >> >> >> On Wed, Aug 31, 2016 11:45 PM, AssafMendelson [hidden email] >> <http:///user/SendEmail.jtp?type=node&node=27650&i=2> wrote: >> >> I believe this would greatly depend on your use case and your familiarity >> with the languages. >> >> >> >> In general, scala would have a much better performance than python and >> not all interfaces are available in python. >> >> That said, if you are planning to use dataframes without any UDF then the >> performance hit is practically nonexistent. >> >> Even if you need UDF, it is possible to write those in scala and wrap >> them for python and still get away without the performance hit. >> >> Python does not have interfaces for UDAFs. >> >> >> >> I believe that if you have large structured data and do not generally >> need UDF/UDAF you can certainly work in python without losing too much. >> >> >> >> >> >> *From:* ayan guha [mailto:[hidden email] >> <http://user/SendEmail.jtp?type=node&node=27637&i=0>] >> *Sent:* Thursday, September 01, 2016 5:03 AM >> *To:* user >> *Subject:* Scala Vs Python >> >> >> >> Hi Users >> >> >> >> Thought to ask (again and again) the question: While I am building any >> production application, should I use Scala or Python? >> >> >> >> I have read many if not most articles but all seems pre-Spark 2. Anything >> changed with Spark 2? Either pro-scala way or pro-python way? >> >> >> >> I am thinking performance, feature parity and future direction, not so >> much in terms of skillset or ease of use. >> >> >> >> Or, if you think it is a moot point, please say so as well. >> >> >> >> Any real life example, production experience, anecdotes, personal taste, >> profanity all are welcome :) >> >> >> >> -- >> >> Best Regards, >> Ayan Guha >> >> >> ------------------------------ >> >> View this message in context: RE: Scala Vs Python >> <http://apache-spark-user-list.1001560.n3.nabble.com/RE-Scala-Vs-Python-tp27637.html> >> Sent from the Apache Spark User List mailing list archive >> <http://apache-spark-user-list.1001560.n3.nabble.com/> at Nabble.com. >> >> >> >> >> >> -- >> >> Best Regards, >> Ayan Guha >> >> ------------------------------ >> View this message in context: RE: Scala Vs Python >> <http://apache-spark-user-list.1001560.n3.nabble.com/RE-Scala-Vs-Python-tp27650.html> >> Sent from the Apache Spark User List mailing list archive >> <http://apache-spark-user-list.1001560.n3.nabble.com/> at Nabble.com. >> > > > > -- > Best Regards, > Ayan Guha >
