hi.. i'm converting some of my machine learning python code into scala + spark. i haven't been able to run it on large dataset yet, but on small datasets (like http://yann.lecun.com/exdb/mnist/), my spark + scala code is much slower than my python code (5 to 10 times slower than python)
i already tried everything to improve my spark + scala code like broadcasting variables, caching the RDD, replacing all my matrix/vector operations with breeze/blas, etc. i saw some improvements, but it's still a lot slower than my python code. why is that? how do you improve your spark + scala performance today? or is spark + scala just not the right tool for small to medium datasets? when would you use spark + scala vs. python? thanks! -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/why-is-spark-scala-code-so-slow-compared-to-python-tp20636.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
