R run same loop on different chunks of data in parallel












0















I'm using R on R studio.
In this case I can't use foreach.
I would like to do something fairly simple:
given a for loop:



for(i:1:1000000)
{
#some code here
}


One way to speed it up is to create two or more for loops and make them working on different chunks of data in different sessions.



Like:



for(i:1:500000)
{
#some code here
}


and



for(i:500001:1000000)
{
#some code here
}


on two different sessions.



I would like to not to use the "system2" package.
There must be a package that does it without having to manually open another session.
How to do it?



Cheers,



Dario.










share|improve this question




















  • 1





    look at the foreach package. BTW - asking for library recommendations is considered off topic here

    – dww
    Nov 14 '18 at 2:11






  • 1





    I mean - the foreach package and the system2 package would both work, but you can't use them for unspecified reasons. What makes you think you'd be able to use any of the other packages that would let you do this? The cran task view has a nice list of packages for parallel processing.

    – Gregor
    Nov 14 '18 at 3:05













  • I've tried foreach many times (I normally use it for work) but it does not work properly and when it works it does not speed up the loop. system2 is not appropriate in this case because I will have to deploy the script in a non suitable environment.

    – Dario Federici
    Nov 14 '18 at 3:21








  • 3





    Please provide some code. I've no idea what you want to do. Chunking + foreach is usually a good idea. See e.g. stackoverflow.com/a/42131766/6103040.

    – F. Privé
    Nov 14 '18 at 6:52
















0















I'm using R on R studio.
In this case I can't use foreach.
I would like to do something fairly simple:
given a for loop:



for(i:1:1000000)
{
#some code here
}


One way to speed it up is to create two or more for loops and make them working on different chunks of data in different sessions.



Like:



for(i:1:500000)
{
#some code here
}


and



for(i:500001:1000000)
{
#some code here
}


on two different sessions.



I would like to not to use the "system2" package.
There must be a package that does it without having to manually open another session.
How to do it?



Cheers,



Dario.










share|improve this question




















  • 1





    look at the foreach package. BTW - asking for library recommendations is considered off topic here

    – dww
    Nov 14 '18 at 2:11






  • 1





    I mean - the foreach package and the system2 package would both work, but you can't use them for unspecified reasons. What makes you think you'd be able to use any of the other packages that would let you do this? The cran task view has a nice list of packages for parallel processing.

    – Gregor
    Nov 14 '18 at 3:05













  • I've tried foreach many times (I normally use it for work) but it does not work properly and when it works it does not speed up the loop. system2 is not appropriate in this case because I will have to deploy the script in a non suitable environment.

    – Dario Federici
    Nov 14 '18 at 3:21








  • 3





    Please provide some code. I've no idea what you want to do. Chunking + foreach is usually a good idea. See e.g. stackoverflow.com/a/42131766/6103040.

    – F. Privé
    Nov 14 '18 at 6:52














0












0








0


1






I'm using R on R studio.
In this case I can't use foreach.
I would like to do something fairly simple:
given a for loop:



for(i:1:1000000)
{
#some code here
}


One way to speed it up is to create two or more for loops and make them working on different chunks of data in different sessions.



Like:



for(i:1:500000)
{
#some code here
}


and



for(i:500001:1000000)
{
#some code here
}


on two different sessions.



I would like to not to use the "system2" package.
There must be a package that does it without having to manually open another session.
How to do it?



Cheers,



Dario.










share|improve this question
















I'm using R on R studio.
In this case I can't use foreach.
I would like to do something fairly simple:
given a for loop:



for(i:1:1000000)
{
#some code here
}


One way to speed it up is to create two or more for loops and make them working on different chunks of data in different sessions.



Like:



for(i:1:500000)
{
#some code here
}


and



for(i:500001:1000000)
{
#some code here
}


on two different sessions.



I would like to not to use the "system2" package.
There must be a package that does it without having to manually open another session.
How to do it?



Cheers,



Dario.







r loops session parallel-processing






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 14 '18 at 2:26







Dario Federici

















asked Nov 14 '18 at 2:06









Dario FedericiDario Federici

243115




243115








  • 1





    look at the foreach package. BTW - asking for library recommendations is considered off topic here

    – dww
    Nov 14 '18 at 2:11






  • 1





    I mean - the foreach package and the system2 package would both work, but you can't use them for unspecified reasons. What makes you think you'd be able to use any of the other packages that would let you do this? The cran task view has a nice list of packages for parallel processing.

    – Gregor
    Nov 14 '18 at 3:05













  • I've tried foreach many times (I normally use it for work) but it does not work properly and when it works it does not speed up the loop. system2 is not appropriate in this case because I will have to deploy the script in a non suitable environment.

    – Dario Federici
    Nov 14 '18 at 3:21








  • 3





    Please provide some code. I've no idea what you want to do. Chunking + foreach is usually a good idea. See e.g. stackoverflow.com/a/42131766/6103040.

    – F. Privé
    Nov 14 '18 at 6:52














  • 1





    look at the foreach package. BTW - asking for library recommendations is considered off topic here

    – dww
    Nov 14 '18 at 2:11






  • 1





    I mean - the foreach package and the system2 package would both work, but you can't use them for unspecified reasons. What makes you think you'd be able to use any of the other packages that would let you do this? The cran task view has a nice list of packages for parallel processing.

    – Gregor
    Nov 14 '18 at 3:05













  • I've tried foreach many times (I normally use it for work) but it does not work properly and when it works it does not speed up the loop. system2 is not appropriate in this case because I will have to deploy the script in a non suitable environment.

    – Dario Federici
    Nov 14 '18 at 3:21








  • 3





    Please provide some code. I've no idea what you want to do. Chunking + foreach is usually a good idea. See e.g. stackoverflow.com/a/42131766/6103040.

    – F. Privé
    Nov 14 '18 at 6:52








1




1





look at the foreach package. BTW - asking for library recommendations is considered off topic here

– dww
Nov 14 '18 at 2:11





look at the foreach package. BTW - asking for library recommendations is considered off topic here

– dww
Nov 14 '18 at 2:11




1




1





I mean - the foreach package and the system2 package would both work, but you can't use them for unspecified reasons. What makes you think you'd be able to use any of the other packages that would let you do this? The cran task view has a nice list of packages for parallel processing.

– Gregor
Nov 14 '18 at 3:05







I mean - the foreach package and the system2 package would both work, but you can't use them for unspecified reasons. What makes you think you'd be able to use any of the other packages that would let you do this? The cran task view has a nice list of packages for parallel processing.

– Gregor
Nov 14 '18 at 3:05















I've tried foreach many times (I normally use it for work) but it does not work properly and when it works it does not speed up the loop. system2 is not appropriate in this case because I will have to deploy the script in a non suitable environment.

– Dario Federici
Nov 14 '18 at 3:21







I've tried foreach many times (I normally use it for work) but it does not work properly and when it works it does not speed up the loop. system2 is not appropriate in this case because I will have to deploy the script in a non suitable environment.

– Dario Federici
Nov 14 '18 at 3:21






3




3





Please provide some code. I've no idea what you want to do. Chunking + foreach is usually a good idea. See e.g. stackoverflow.com/a/42131766/6103040.

– F. Privé
Nov 14 '18 at 6:52





Please provide some code. I've no idea what you want to do. Chunking + foreach is usually a good idea. See e.g. stackoverflow.com/a/42131766/6103040.

– F. Privé
Nov 14 '18 at 6:52












1 Answer
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I've found the solution in this package: "future.apply" that I find phenomenal.



It easily parallels the whole apply family.



I've used the "future_lapply" function and it works very well.






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    oldest

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    active

    oldest

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    active

    oldest

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    0














    I've found the solution in this package: "future.apply" that I find phenomenal.



    It easily parallels the whole apply family.



    I've used the "future_lapply" function and it works very well.






    share|improve this answer




























      0














      I've found the solution in this package: "future.apply" that I find phenomenal.



      It easily parallels the whole apply family.



      I've used the "future_lapply" function and it works very well.






      share|improve this answer


























        0












        0








        0







        I've found the solution in this package: "future.apply" that I find phenomenal.



        It easily parallels the whole apply family.



        I've used the "future_lapply" function and it works very well.






        share|improve this answer













        I've found the solution in this package: "future.apply" that I find phenomenal.



        It easily parallels the whole apply family.



        I've used the "future_lapply" function and it works very well.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 21 '18 at 0:50









        Dario FedericiDario Federici

        243115




        243115






























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