I genuinely do not think that Scala for Spark needs us to be super in Scala. There is infact a tutorial called as "Just enough Scala for Spark" which even with my IQ does not take more than 40 mins to go through. Also the sytax of Scala is almost always similar to that of Python.
Data processing is much more amenable to functional thinking and therefore Scala suits best also Spark is written in Scala. Regards, Gourav On Mon, Oct 29, 2018 at 11:33 PM kant kodali <kanth...@gmail.com> wrote: > Most people when they compare two different programming languages 99% of > the time it all seems to boil down to syntax sugar. > > Performance I doubt Scala is ever faster than Java given that Scala likes > Heap more than Java. I had also written some pointless micro-benchmarking > code like (Random String Generation, hash computations, etc..) on Java, > Scala and Golang and Java had outperformed both Scala and Golang as well on > many occasions. > > Now that Java 11 had released things seem to get even better given the > startup time is also very low. > > I am happy to change my view as long as I can see some code and benchmarks! > > > > On Mon, Oct 29, 2018 at 1:58 PM Jean Georges Perrin <j...@jgp.net> wrote: > >> did not see anything, but curious if you find something. >> >> I think one of the big benefit of using Java, for data engineering in the >> context of Spark, is that you do not have to train a lot of your team to >> Scala. Now if you want to do data science, Java is probably not the best >> tool yet... >> >> On Oct 26, 2018, at 6:04 PM, karan alang <karan.al...@gmail.com> wrote: >> >> Hello >> - is there a "performance" difference when using Java or Scala for Apache >> Spark ? >> >> I understand, there are other obvious differences (less code with scala, >> easier to focus on logic etc), >> but wrt performance - i think there would not be much of a difference >> since both of them are JVM based, >> pls. let me know if this is not the case. >> >> thanks! >> >> >>
