I'm running Rstudio server and wondering if there is a way to run a command that may take a bit of time to complete and at the same time visually explore some of my environment's dataframes.
When I click on a dataframe it issues the view() command but if R is busy, it will not let me view the dataframe until the last command finishes. Is there a way to run the view command in parallel?
No.
The other thing you might be able is if you have the Pro version generate a parallel session
Related
I'm running a long R script, which takes 2 or 3 days to finish. I accidentally run another script, which, if it works as R usually does, will go in some queue and R will run it as soon as the first script is over. I need to stop that, as it would compromise the results from the first script. Is there a visible queue or any other way to stop R from running some code?
I'm working on an interactive session in R studio, on windows 10.
Thanks a lot for any help!
Assuming you're running in console (or interactive session in R studio, that's undetermined from your question) and that what you did was sourcing a script/pasting code and while it was running pasting another chunck of code:
What is ongoing is that you pushed data into R process input stream, it's a buffered input, so it will run each line once the previous line call has ended and free the process.
There's no easy way to play with an input buffer, that's R internal input/output system and mostly it's the Operating system which have those information in cache for now.
Asking R itself is not possible as it already has this buffer to read, any new command would go after.
Last chance thing: If you can spot your another chunck of code starting in your console, you can try pressing the esc key to stop the code running.
You may try messing with the process buffers with procexp but there's a fair chance to just make your R session segfault anyway.
To avoid that in the future, use scripts and run them on the command line separately with Rscript (present in R bin directory under windows too despite the link pointing to a linux manpage).
This would create one session per script and allow to kill them independently. That said if they both write to the same place (database, a file would create an error if accessed by two process) that won't prevent data corruption.
I am guessing OP has below problem:
# my big code, running for a long time
Sys.sleep(10); print("hello 1")
# other big code I dropped in console while R was still busy with above code
print("hello 2")
If this is the case, I don't think it is possible to stop the 2nd process from running.
I am used to using R in RStudio. For a new project, I have to use R on the command line, because the data storage and analysis are only allowed to be on a specific server that I connect to using ssh. This server doesn't have rstudio-server to support remote RStudio sessions.
The project involves an extremely large dataset, and some pre-written code to load/format the data that I have been told to run using "source()" before I do anything else. This takes several minutes to run and load the data each time.
What would a good workflow be for something like this? Editing my code in a .r file, saving, then running it would require taking several minutes to load the data each time. But just running R in an interactive session would make it hard to keep track of what I am doing and repeat things if necessary.
Is there some command-line equivalent to RStudio where you can have an interactive session but be editing/saving a file of your code as you go?
Sounds like JuPyteR might be your friend here.
The R kernel works great.
You can use it on a remote server either with exposing an open port (and setting up JuPyteR login credentials)
Or via port forwarding over SSH.
It is a lot like an interactive reply, except it holds state.
And you can go back and rerun cells.
(Of course state can be dangerous for reproduceability)
For RStudio you can launch console and ssh to your remote servers even if your servers don't use expensive RStudio for servers platform. You can then execute all commands from R Studio directly into the ssh with the default shortcut key. This might allow to continue using R studio, track what you're doing in the R script, execute interactively.
I want to run an R script (in Win 7) from SQL Server 2014 each time a new record is added (to perform some analysis on the data). I saw that this can be done with the xp_cmdshell command which is like running it manually from the command line.
My problems (and questions) are:
I've made out from various websites that probably the best option is to use Rscript. This would have to be used at the command line as:
C:\Program Files\R\R-3.2.3\bin\x64\Rscript "my_file_folder\my_file.r
Can I copy Rscript.exe to the folder where my script is, such that I can run my script independently, even if R is not installed? What other files do I need to copy together with Rscript.exe such that it would work independently?
My script loads some packages that contain functions that it uses. Is there a way to somehow include these in the script such that they don't have to be loaded every time (it takes about 5 sec so far and I need this script to be faster)? Or is there a way to only load these packages the first time that the script runs?
In case the overall approach I've described here is not the best one, I am open to doing it differently. Maybe there is a way to somehow package the R script together with all the required dependencies (libraries and other parts of the R software which the script would need to run independently).
What I ultimately need is a for the script to run silently, and reasonably fast, without any windows or anything else popping up, each time a new record is added to my database, do the analysis and exit.
Thanks in advance for any answers.
UPDATE:
I figured out an elegant solution to running the R script. I'm setting up a job in SQL Server and inside that job I'm using "xp_cmdshell" to run my script as a parameter to Rscript.exe, as detailed at point 1 above. I can start this job from any stored procedure and the beauty of it is that the stored procedure does not wait for the script to finish. It just triggers the job (that runs the script in a separate thread) and then it continues with its business.
But questions from points 1 and 2 still remain.
I've got a lengthy process running in Rstudio and I would like to open a separate session of Rstudio while the first one is running. I know I can run R from the command line to get as many sessions as I want, but I wanted to know if it is possible for me to do this in Rstudio on a Linux computer. Thanks.
#infominer suggested a good solution, which is to simply type rstudio in the command line. That's what I ended up doing
Another convenient way to deal with this is to start a seperate R-instance in the terminal by typing simply
R
and from there just run the script that has a lengthy process with
source("path-to-your-script/your-script.R")
you can than continue to edit and work with your two scripts in the already opened R-Studio editor window.
I run some calculations over several hours with R. After a while my memory is full of junk. The gc() and rm() command don't solve the problem. What I did is that I shut down my R session and opend a new one. This solves the memory problem. Now I want to automate this process. Is there a command to open a second R session or RGui form an existing session. Then I want to set the wd in this second session, run some code there and close it after some time. How can I do this? Alternatively, is there another way to get rid of the junk in my memory.
You may want to give Rscript a try, see Rscript --help from command line. Break down your big script into smaller parts and run them in succession using the same workspace with Rscript --restore --save yourscript.r. A new session of R will be opened for each script which may help you to keep memory use under control.