Thanks,
having a C++ background, there is definitely a lot to learn about the JVM.
I'm wrote a script in Python that ran in about 10-12s and used up to 320MB
of memory.
I'm running a clojure repl from Emacs via jack-in.
What's the best way to adjust the heap size? swank-clojure and
I have this option in my project.clj file, which does the trick if you are
developing from emacs+swank+clojure-jack-in, and using large networks
:jvm-opts [-Xmx4000m]
And yes, one of the things to do when working with the jvm is learning how
to use jconsole or visualvm to see why your
Excellent! Thank you, that did the trick!
2012/4/13 bOR_ boris.sch...@gmail.com
I have this option in my project.clj file, which does the trick if you are
developing from emacs+swank+clojure-jack-in, and using large networks
:jvm-opts [-Xmx4000m]
And yes, one of the things to do when
If the jvm does have enough memory, you may want to try building up the
map using a transient.
And not sure if this is faster, (maybe it's slower), but you can spell the
function you pass to reduce more succinctly:
(fn [G [v1 v2]] (update-in G [v1] (fnil conj []) v2))
Robert
On Thu, Apr 12,
Thanks, I know about transients, but I'm already using mutable arrays for
speed :-)
On Apr 13, 2012 8:01 PM, Robert Marianski r...@marianski.com wrote:
If the jvm does have enough memory, you may want to try building up the
map using a transient.
And not sure if this is faster, (maybe it's
Hi,
I'm trying figure out how to load a huge file that contains some 800k pair
of integers (two integers per line) which represent edges of a directed
graph.
So if the ith line has x and y, it means that there is an edge between x
and y vertex in the graph.
The goal is to load it in an array of
How much memory do Python Go consume when you do this? Are you giving the
JVM enough memory?
On Thu, Apr 12, 2012 at 6:17 PM, László Török ltoro...@gmail.com wrote:
Hi,
I'm trying figure out how to load a huge file that contains some 800k pair
of integers (two integers per line) which
Yeah, sounds like it could definitely be a memory issue. This is one
part where the JVM works a lot differently than I expected coming from
a python background.
Everybody may already know this, but the JVM only takes 64mb for the
heap by default. You'll get an out of memory error if your program
