Just run by yourself this test and check the results. During the run
also check with top a worker.
Python:
import random
def inside(p):
x, y = random.random(), random.random()
return x * x + y * y < 1
def estimate_pi(num_samples):
count = sc.parallelize(xrange(0, num_samples)).filter(inside).count()
pi = 4.0 * count / num_samples
return pi
estimate_pi(1000000000)
Scala:
def estimatePi(numSamples:Int) : Double = {
val count = sc.parallelize(1 to numSamples).filter { _ =>
val x = math.random
val y = math.random
x * x + y * y < 1
}.count()
return (4.0 * count).toFloat / numSamples
}
estimatePi(1000000000)
Regards
On 06-09-2017 06:35, ayan guha wrote:
> And I have just the opposite experience ie I know Python but I see
> scala demands more :)
>
> I think there are few fair points on both sides, and scala wins:
>
> 1. Feature parity: Definitely scala wins. Not only new spark features,
> but if you intend to use 3rd party connectors (such as Azure services).
>
> 2. performance: no serialisation overhead as scala objects are in JVM
> itself. But it is relevant ONLY for UDF/Custom Python functions.
>
> 3. Code complexity: Python is much faster to code, but this is more of
> choice....
>
> 4. data science - here python is first class citizen, almost no
> feature gap between scala and python api
>
> IMHO, both has sweet spots.......and i would highly recommend to learn
> python for just sake of sheer fun to code with it :)
>
> best
> Ayan
>
> On Wed, Sep 6, 2017 at 1:46 PM, Adaryl Wakefield
> <adaryl.wakefi...@hotmail.com <mailto:adaryl.wakefi...@hotmail.com>>
> wrote:
>
> Is there any performance difference in writing your application in
> python vs. scala? I’ve resisted learning Python because it’s an
> interpreted scripting language, but the market seems to be
> demanding Python skills.
>
>
>
> Adaryl "Bob" Wakefield, MBA
> Principal
> Mass Street Analytics, LLC
> 913.938.6685
>
> www.massstreet.net <http://www.massstreet.net/>
>
> www.linkedin.com/in/bobwakefieldmba
> <http://www.linkedin.com/in/bobwakefieldmba>
> Twitter: @BobLovesData <http://twitter.com/BobLovesData>
>
>
>
>
>
>
> --
> Best Regards,
> Ayan Guha
