Title: | Run Code as an RStudio Job - Free Your Console |
Version: | 0.3.1 |
Date: | 2024-05-03 |
URL: | https://lindeloev.github.io/job/ |
BugReports: | https://github.com/lindeloev/job/issues |
Description: | Call job::job({<code here>}) to run R code as an RStudio job and keep your console free in the meantime. This allows for a productive workflow while testing (multiple) long-running chunks of code. It can also be used to organize results using the RStudio Jobs GUI or to test code in a clean environment. Two RStudio Addins can be used to run selected code as a job. |
License: | MIT + file LICENSE |
Encoding: | UTF-8 |
RoxygenNote: | 7.3.1 |
Language: | en-US |
Depends: | R (≥ 3.5.0) |
Imports: | rstudioapi (≥ 0.13), digest (≥ 0.6.27) |
Suggests: | testthat (≥ 3.0.0) |
Config/testthat/edition: | 3 |
NeedsCompilation: | no |
Packaged: | 2024-05-04 23:32:36 UTC; jonas |
Author: | Jonas Kristoffer Lindeløv
|
Maintainer: | Jonas Kristoffer Lindeløv <jonas@lindeloev.dk> |
Repository: | CRAN |
Date/Publication: | 2024-05-05 00:00:02 UTC |
What to return from a job
Description
Call this function as the last line in job::job()
to select what is exported
back into globalenv()
. export()
does nothing if called in any other context.
Usage
export(value = "changed", file = NULL)
Arguments
value |
What to return. One of:
|
file |
Name of |
Details
Under the hood, this function merely rm()
variables that does not match value
.
Because job::job()
returns everything at the end of the script, this defines
what is returned.
Value
NULL
invisibly.
Author(s)
Jonas Kristoffer Lindeløv, jonas@lindeloev.dk
Examples
if (rstudioapi::isAvailable()) {
a = 55
b = 77
d = 88
job::job({n = 11; a = 55; job::export("all")}) # export a, b, d, n
job::job({n = 11; a = 11; job::export("changed")}) # export a, n
job::job({n = 11; a = 11; job::export("new")}) # export n
job::job({n = 11; a = 55; job::export(c(a, d, b))}) # export a, d, b
job::job({n = 11; a = 55; job::export("none")}) # export nothing
# To file
job::job({n = 11; a = 11; job::export("changed", file = "jobresult.RData")}) # save a, n
jobresult = new.env() # import to this env instead of global
load("jobresult.RData", envir = jobresult)
print(jobresult$n)
}
Run Code as an RStudio Job
Description
See examples for an introduction. See the job website for more examples.
See details for some warnings.
Note that job::empty()
is identical to job::job()
but all arguments default to NULL
.
Usage
job(
...,
import = "all",
packages = .packages(),
opts = options(),
title = NULL
)
empty(..., import = NULL, packages = NULL, opts = NULL, title = NULL)
Arguments
... |
A named or unnamed code block enclosed in curly brackets, |
import |
Which objects to import into the job.
|
packages |
Character vector of packages to load in the job. Defaults to
all loaded packages in the calling environment. |
opts |
List of options to overwrite in the job. Defaults to |
title |
The job title. You can write e.g., |
Details
This is a wrapper around rstudioapi::jobRunScript
. To control what gets
returned, see export
. By default, all objects that changed during
the job are returned, i.e., job::export("changed")
.
-
Returning large objects:
jobRunScript
is very slow at importing and exporting large objects. For exporting back intoglobalenv()
, it may be faster tosaveRDS()
results within the job andreadRDS()
them in your environment.
Value
Invisibly returns the job id on which you can call other rstudioapi::job*
functions, e.g., rstudioapi::rstudioapi::jobRemove(job_id)
.
Functions
-
empty()
:job::job()
but with NULL defaults, i.e., an "empty" job.
Author(s)
Jonas Kristoffer Lindeløv, jonas@lindeloev.dk
See Also
Examples
if (rstudioapi::isAvailable()) {
# Unnamed code chunks returns to globalenv()
global_var = 5
job::job({
x = rnorm(global_var)
print("This text goes to the job console")
m = mean(x)
})
# later:
print(x)
print(m)
# Named code chunks assign job environment to that name
job::job(my_result = {
y = rnorm(global_var)
sigma = sd(y)
}, title = "Title with code: {code}")
# later:
print(my_result$y)
print(my_result$sigma)
# Delete everything in the job environment to return nothing.
# Useful if text output + file output is primary
job::job({
some_cars = mtcars[mtcars$cyl > 4, ]
print(mean(some_cars$mpg))
print(summary(some_cars))
# saveRDS(some_cars, "job_result.rds")
job::export("none") # return nothing
})
# Control imports from calling environment (variables, packages, options)
my_df = data.frame(names = c("alice", "bob"))
ignore_var = 15
job::job(result2 = {
if (exists("ignore_var") == FALSE)
print("ignore_var is not set here")
names = rep(my_df$names, global_var)
}, import = c(global_var, my_df), packages = NULL, opts = list(mc.cores = 3))
# later
print(result2$names)
}
Nice print .jobcode
Description
Nice print .jobcode
Usage
## S3 method for class 'jobcode'
print(x, ...)
Arguments
x |
Text to print |
... |
Currently unused |
Value
No return value, called for side effects.