Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install twice. As
the primary "package manager" for R, it should not install a package twice
(by default) when it can be so easily checked. Indeed, many people resort
to writing a few lines of code to filter out already-installed packages An
r-help post from 2010 proposed a solution to improving the default
behavior, by adding "force=FALSE" as a api addition to install.packages.(
https://stat.ethz.ch/pipermail/r-help/2010-May/239492.html)
Would the R-core devs still consider this proposal?
Josh Bradley
improving the performance of install.packages
19 messages · Duncan Murdoch, Avraham Adler, Gabriel Becker +6 more
On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install twice. As
the primary "package manager" for R, it should not install a package twice
(by default) when it can be so easily checked. Indeed, many people resort
to writing a few lines of code to filter out already-installed packages An
r-help post from 2010 proposed a solution to improving the default
behavior, by adding "force=FALSE" as a api addition to install.packages.(
https://stat.ethz.ch/pipermail/r-help/2010-May/239492.html)
Would the R-core devs still consider this proposal?
Whether or not they'd do it, it's easy for you to do it.
install.packages <- function(pkgs, ..., force = FALSE) {
if (!force) {
pkgs <- Filter(Negate(requireNamespace), pkgs
utils::install.packages(pkgs, ...)
}
You might want to make this more elaborate, e.g. doing update.packages()
on the ones that exist. But really, isn't the problem with the script
you're using, which could have done a simple test before forcing a slow
install?
Duncan Murdoch
I could do this...and I have before. This brings up a more fundamental question though. You're asking me to write code that changes the logic of the installation process (i.e. writing my own package installer). Instead of doing that, I would rather integrate that logic into R itself to improve the baseline installation process. This api proposal change would be additive and would not break legacy code. Package managers like pip (python), conda (python), yum (CentOS), apt (Ubuntu), and apk (Alpine) are all "smart" enough to know (by their defaults) when to not download a package again. By proposing this change, I'm essentially asking that R follow some of the same conventions and best practices that other package managers have adopted over the decades. I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know. P.S. if this change happened, it would be interesting to study the effect it has on the bandwidth across all CRAN mirrors. A significant drop would turn into actual $$ saved Josh Bradley On Fri, Nov 8, 2019 at 5:00 AM Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are
using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install twice. As
the primary "package manager" for R, it should not install a package
twice
(by default) when it can be so easily checked. Indeed, many people resort to writing a few lines of code to filter out already-installed packages
An
r-help post from 2010 proposed a solution to improving the default behavior, by adding "force=FALSE" as a api addition to install.packages.( https://stat.ethz.ch/pipermail/r-help/2010-May/239492.html) Would the R-core devs still consider this proposal?
Whether or not they'd do it, it's easy for you to do it.
install.packages <- function(pkgs, ..., force = FALSE) {
if (!force) {
pkgs <- Filter(Negate(requireNamespace), pkgs
utils::install.packages(pkgs, ...)
}
You might want to make this more elaborate, e.g. doing update.packages()
on the ones that exist. But really, isn't the problem with the script
you're using, which could have done a simple test before forcing a slow
install?
Duncan Murdoch
While developing a package, I often run install.packages() on it many times in a session without updating its version number. How would your proposed change affect this workflow? Bill Dunlap TIBCO Software wdunlap tibco.com
On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
I could do this...and I have before. This brings up a more fundamental question though. You're asking me to write code that changes the logic of the installation process (i.e. writing my own package installer). Instead of doing that, I would rather integrate that logic into R itself to improve the baseline installation process. This api proposal change would be additive and would not break legacy code. Package managers like pip (python), conda (python), yum (CentOS), apt (Ubuntu), and apk (Alpine) are all "smart" enough to know (by their defaults) when to not download a package again. By proposing this change, I'm essentially asking that R follow some of the same conventions and best practices that other package managers have adopted over the decades. I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know. P.S. if this change happened, it would be interesting to study the effect it has on the bandwidth across all CRAN mirrors. A significant drop would turn into actual $$ saved Josh Bradley On Fri, Nov 8, 2019 at 5:00 AM Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're
using)
twice by default. This becomes especially burdensome when people are
using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install twice.
As
the primary "package manager" for R, it should not install a package
twice
(by default) when it can be so easily checked. Indeed, many people
resort
to writing a few lines of code to filter out already-installed packages
An
r-help post from 2010 proposed a solution to improving the default behavior, by adding "force=FALSE" as a api addition to
install.packages.(
https://stat.ethz.ch/pipermail/r-help/2010-May/239492.html) Would the R-core devs still consider this proposal?
Whether or not they'd do it, it's easy for you to do it.
install.packages <- function(pkgs, ..., force = FALSE) {
if (!force) {
pkgs <- Filter(Negate(requireNamespace), pkgs
utils::install.packages(pkgs, ...)
}
You might want to make this more elaborate, e.g. doing update.packages()
on the ones that exist. But really, isn't the problem with the script
you're using, which could have done a simple test before forcing a slow
install?
Duncan Murdoch
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Since we are on this topic, another area of improvement is when install.packages() downloads hundreds of packages only to realize later that many of them actually fail to install because one of the packages they depend on (directly or indirectly) failed to install. Cheers, H.
On 11/8/19 11:55, Joshua Bradley wrote:
I could do this...and I have before. This brings up a more fundamental question though. You're asking me to write code that changes the logic of the installation process (i.e. writing my own package installer). Instead of doing that, I would rather integrate that logic into R itself to improve the baseline installation process. This api proposal change would be additive and would not break legacy code. Package managers like pip (python), conda (python), yum (CentOS), apt (Ubuntu), and apk (Alpine) are all "smart" enough to know (by their defaults) when to not download a package again. By proposing this change, I'm essentially asking that R follow some of the same conventions and best practices that other package managers have adopted over the decades. I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know. P.S. if this change happened, it would be interesting to study the effect it has on the bandwidth across all CRAN mirrors. A significant drop would turn into actual $$ saved Josh Bradley On Fri, Nov 8, 2019 at 5:00 AM Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are
using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install twice. As
the primary "package manager" for R, it should not install a package
twice
(by default) when it can be so easily checked. Indeed, many people resort to writing a few lines of code to filter out already-installed packages
An
r-help post from 2010 proposed a solution to improving the default behavior, by adding "force=FALSE" as a api addition to install.packages.( https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_pipermail_r-2Dhelp_2010-2DMay_239492.html&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=UA8pThQCyQOMZf_tiAAnzSPckXg-h9-262Eu2WCyGHs&s=qtl85Oi2X2-U4rTQW-78pu9_Jb2vhBo1VZZN9pm6M8U&e= ) Would the R-core devs still consider this proposal?
Whether or not they'd do it, it's easy for you to do it.
install.packages <- function(pkgs, ..., force = FALSE) {
if (!force) {
pkgs <- Filter(Negate(requireNamespace), pkgs
utils::install.packages(pkgs, ...)
}
You might want to make this more elaborate, e.g. doing update.packages()
on the ones that exist. But really, isn't the problem with the script
you're using, which could have done a simple test before forcing a slow
install?
Duncan Murdoch
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=UA8pThQCyQOMZf_tiAAnzSPckXg-h9-262Eu2WCyGHs&s=HfzpeqddkrDu5eqZrrwPlN34KZIazW5yNGF7Hp-B0Go&e=
Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319
I guess you would just use force=TRUE H.
On 11/8/19 12:06, William Dunlap via R-devel wrote:
While developing a package, I often run install.packages() on it many times in a session without updating its version number. How would your proposed change affect this workflow? Bill Dunlap TIBCO Software wdunlap tibco.com On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
I could do this...and I have before. This brings up a more fundamental question though. You're asking me to write code that changes the logic of the installation process (i.e. writing my own package installer). Instead of doing that, I would rather integrate that logic into R itself to improve the baseline installation process. This api proposal change would be additive and would not break legacy code. Package managers like pip (python), conda (python), yum (CentOS), apt (Ubuntu), and apk (Alpine) are all "smart" enough to know (by their defaults) when to not download a package again. By proposing this change, I'm essentially asking that R follow some of the same conventions and best practices that other package managers have adopted over the decades. I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know. P.S. if this change happened, it would be interesting to study the effect it has on the bandwidth across all CRAN mirrors. A significant drop would turn into actual $$ saved Josh Bradley On Fri, Nov 8, 2019 at 5:00 AM Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're
using)
twice by default. This becomes especially burdensome when people are
using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install twice.
As
the primary "package manager" for R, it should not install a package
twice
(by default) when it can be so easily checked. Indeed, many people
resort
to writing a few lines of code to filter out already-installed packages
An
r-help post from 2010 proposed a solution to improving the default behavior, by adding "force=FALSE" as a api addition to
install.packages.(
https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_pipermail_r-2Dhelp_2010-2DMay_239492.html&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=iJofJNzrnbF8idVP_KjXyi-Pt9e0cAgor0UEiDJPPro&s=R1s-MHqzxEbvj-KerylYVqz-IkWatde6QREua4MPqmU&e= ) Would the R-core devs still consider this proposal?
Whether or not they'd do it, it's easy for you to do it.
install.packages <- function(pkgs, ..., force = FALSE) {
if (!force) {
pkgs <- Filter(Negate(requireNamespace), pkgs
utils::install.packages(pkgs, ...)
}
You might want to make this more elaborate, e.g. doing update.packages()
on the ones that exist. But really, isn't the problem with the script
you're using, which could have done a simple test before forcing a slow
install?
Duncan Murdoch
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=iJofJNzrnbF8idVP_KjXyi-Pt9e0cAgor0UEiDJPPro&s=mIZ0fcjSg7KaJAY4wgLlKOaWwcD2uv9lI-GQNvcj4cg&e=
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=iJofJNzrnbF8idVP_KjXyi-Pt9e0cAgor0UEiDJPPro&s=mIZ0fcjSg7KaJAY4wgLlKOaWwcD2uv9lI-GQNvcj4cg&e=
Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319
Exactly. Every major commit isn?t want to check that the package works. Also, besides package development, there are other reasons why one would install packages over themselves. For example, rebuilding from source after changing options in Makevars[.win]. The package hasn?t been updated but recompilation is desired. Avi On Fri, Nov 8, 2019 at 3:07 PM William Dunlap via R-devel <
r-devel at r-project.org> wrote:
While developing a package, I often run install.packages() on it many times in a session without updating its version number. How would your proposed change affect this workflow? Bill Dunlap TIBCO Software wdunlap tibco.com On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
I could do this...and I have before. This brings up a more fundamental question though. You're asking me to write code that changes the logic of the installation process (i.e. writing my own package installer). Instead of doing that, I would rather integrate that logic into R itself to
improve
the baseline installation process. This api proposal change would be additive and would not break legacy code. Package managers like pip (python), conda (python), yum (CentOS), apt (Ubuntu), and apk (Alpine) are all "smart" enough to know (by their defaults) when to not download a package again. By proposing this change, I'm essentially asking that R follow some of the same conventions and
best
practices that other package managers have adopted over the decades. I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know. P.S. if this change happened, it would be interesting to study the effect it has on the bandwidth across all CRAN mirrors. A significant drop would turn into actual $$ saved Josh Bradley On Fri, Nov 8, 2019 at 5:00 AM Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're
using)
twice by default. This becomes especially burdensome when people are
using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install
twice.
As
the primary "package manager" for R, it should not install a package
twice
(by default) when it can be so easily checked. Indeed, many people
resort
to writing a few lines of code to filter out already-installed
packages
An
r-help post from 2010 proposed a solution to improving the default behavior, by adding "force=FALSE" as a api addition to
install.packages.(
https://stat.ethz.ch/pipermail/r-help/2010-May/239492.html) Would the R-core devs still consider this proposal?
Whether or not they'd do it, it's easy for you to do it.
install.packages <- function(pkgs, ..., force = FALSE) {
if (!force) {
pkgs <- Filter(Negate(requireNamespace), pkgs
utils::install.packages(pkgs, ...)
}
You might want to make this more elaborate, e.g. doing
update.packages()
on the ones that exist. But really, isn't the problem with the script you're using, which could have done a simple test before forcing a slow install? Duncan Murdoch
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Sent from Gmail Mobile [[alternative HTML version deleted]]
Hi Josh, There are a few issues I can think of with this. The primary one is that CRAN(/Bioconductor) is not the only place one can install packages from. I might have version x.y.z of a package installed that was, at the time, a development version I got from github, or installed locally, etc. Hell I might have a later devel version but want the CRAN version. Not common, sure, but wiill likely happen often enough that install.packages not doing that for me when I tell it to is probably bad. Currently (though there has been some discussion of changing this) packages do not remember where they were installed from, so R wouldn't know if the version you have is actually fully the same one on the repository you pointed install.packages to or not. If that were changed and we knew that we were getting the byte identical package from the actual same source, I think this would be a nice addition, though without it I think it would be right a high but not high enough proportion of the time. R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are using big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
I mean, IMHO and as I think Duncan was alluding to, that's straight up an error by the script author. I think its a few of them, actually, but its at least one. An understandable one, sure, but thats still what it is. Scripts (which are meant to be run more than once, generally) usually shouldn't really be calling install.packages in the first place, but if they do, they should certainly not be installing umbrella packages and the packages they bring with them separately. Even having one vectorized call to install.packages where all the packages are installed would prevent this issue, including in the case where the user doesn't understand the purpose of the tidyverse package. Though the installation would still occur every time the script was run. The last thing to note is that there are at least 2 packages which provide a function which does this already (install.load and remotes), so people can get this functionality if they need it.
On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know.
This is the right place to discuss things like this. Thanks for starting the conversation. Best, ~G
On 08/11/2019 2:55 p.m., Joshua Bradley wrote:
I could do this...and I have before. This brings up a more fundamental question though. You're asking me to write code that changes the logic of the installation process (i.e. writing my own package installer). Instead of doing that, I would rather integrate that logic into R itself to improve the baseline installation process. This api proposal change would be additive and would not break legacy code.
That's not true. The current behaviour is equivalent to force=TRUE; I believe the proposal was to change the default to force=FALSE. If you didn't change the default, it wouldn't help your example: the badly written script would run with force=TRUE, and wouldn't benefit at all. Duncan Murdoch
Package managers like pip (python), conda (python), yum (CentOS), apt (Ubuntu), and apk (Alpine) are all "smart" enough to know (by their defaults) when to not download a package again. By proposing this change, I'm essentially asking that R follow some of the same conventions and best practices that other package managers have adopted over the decades. I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know. P.S. if this change happened, it would be interesting to study the effect it has on the bandwidth across all CRAN mirrors. A significant drop would turn into actual $$ saved Josh Bradley On Fri, Nov 8, 2019 at 5:00 AM Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are
using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install twice. As
the primary "package manager" for R, it should not install a package
twice
(by default) when it can be so easily checked. Indeed, many people resort to writing a few lines of code to filter out already-installed packages
An
r-help post from 2010 proposed a solution to improving the default behavior, by adding "force=FALSE" as a api addition to install.packages.( https://stat.ethz.ch/pipermail/r-help/2010-May/239492.html) Would the R-core devs still consider this proposal?
Whether or not they'd do it, it's easy for you to do it.
install.packages <- function(pkgs, ..., force = FALSE) {
if (!force) {
pkgs <- Filter(Negate(requireNamespace), pkgs
utils::install.packages(pkgs, ...)
}
You might want to make this more elaborate, e.g. doing update.packages()
on the ones that exist. But really, isn't the problem with the script
you're using, which could have done a simple test before forcing a slow
install?
Duncan Murdoch
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Suppose update.packages("pkg") installed "pkg" if it were not already
installed, in addition to its current behavior of installing "pkg" if "pkg"
is installed but a newer version is available. The OP could then use
update.packages() all the time instead of install.packages() the first time
and update.packages() subsequent times.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Fri, Nov 8, 2019 at 2:51 PM Duncan Murdoch <murdoch.duncan at gmail.com>
wrote:
On 08/11/2019 2:55 p.m., Joshua Bradley wrote:
I could do this...and I have before. This brings up a more fundamental question though. You're asking me to write code that changes the logic of the installation process (i.e. writing my own package installer). Instead of doing that, I would rather integrate that logic into R itself to
improve
the baseline installation process. This api proposal change would be additive and would not break legacy code.
That's not true. The current behaviour is equivalent to force=TRUE; I believe the proposal was to change the default to force=FALSE. If you didn't change the default, it wouldn't help your example: the badly written script would run with force=TRUE, and wouldn't benefit at all. Duncan Murdoch
Package managers like pip (python), conda (python), yum (CentOS), apt (Ubuntu), and apk (Alpine) are all "smart" enough to know (by their defaults) when to not download a package again. By proposing this change, I'm essentially asking that R follow some of the same conventions and
best
practices that other package managers have adopted over the decades. I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know. P.S. if this change happened, it would be interesting to study the effect it has on the bandwidth across all CRAN mirrors. A significant drop would turn into actual $$ saved Josh Bradley On Fri, Nov 8, 2019 at 5:00 AM Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're
using)
twice by default. This becomes especially burdensome when people are
using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install twice.
As
the primary "package manager" for R, it should not install a package
twice
(by default) when it can be so easily checked. Indeed, many people
resort
to writing a few lines of code to filter out already-installed packages
An
r-help post from 2010 proposed a solution to improving the default behavior, by adding "force=FALSE" as a api addition to
install.packages.(
https://stat.ethz.ch/pipermail/r-help/2010-May/239492.html) Would the R-core devs still consider this proposal?
Whether or not they'd do it, it's easy for you to do it.
install.packages <- function(pkgs, ..., force = FALSE) {
if (!force) {
pkgs <- Filter(Negate(requireNamespace), pkgs
utils::install.packages(pkgs, ...)
}
You might want to make this more elaborate, e.g. doing update.packages()
on the ones that exist. But really, isn't the problem with the script
you're using, which could have done a simple test before forcing a slow
install?
Duncan Murdoch
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Hi Gabe, Keeping track of where a package was installed from would be a nice feature. However it wouldn't be as reliable as comparing hashes to decide whether a package needs re-installation or not. H.
On 11/8/19 12:37, Gabriel Becker wrote:
Hi Josh, There are a few issues I can think of with this. The primary one is that CRAN(/Bioconductor) is not the only place one can install packages from. I might have version x.y.z of a package installed that was, at the time, a development version I got from github, or installed locally, etc. Hell I might have a later devel version but want the CRAN version. Not common, sure, but wiill likely happen often enough that install.packages not doing that for me when I tell it to is probably bad. Currently (though there has been some discussion of changing this) packages do not remember where they were installed from, so R wouldn't know if the version you have is actually fully the same one on the repository you pointed install.packages to or not. If that were changed and we knew that we were getting the byte identical package from the actual same source, I think this would be a nice addition, though without it I think it would be right a high but not high enough proportion of the time. R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are using big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
I mean, IMHO and as I think Duncan was alluding to, that's straight up an error by the script author. I think its a few of them, actually, but its at least one. An understandable one, sure, but thats still what it is. Scripts (which are meant to be run more than once, generally) usually shouldn't really be calling install.packages in the first place, but if they do, they should certainly not be installing umbrella packages and the packages they bring with them separately. Even having one vectorized call to install.packages where all the packages are installed would prevent this issue, including in the case where the user doesn't understand the purpose of the tidyverse package. Though the installation would still occur every time the script was run. The last thing to note is that there are at least 2 packages which provide a function which does this already (install.load and remotes), so people can get this functionality if they need it. On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know.
This is the right place to discuss things like this. Thanks for starting the conversation. Best, ~G
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=XG4gVQKZam41YLfI3w8XRAu8s7f2I5jCppA45q6NBu0&s=cOXQGMA9Va3o9x1USGggzF82D1LtFQb2ALpLRLQs2k4&e=
Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319
On 08/11/2019 6:02 p.m., William Dunlap wrote:
Suppose update.packages("pkg") installed "pkg" if it were not already
installed, in addition to its current behavior of installing "pkg" if
"pkg" is installed but a newer version is available.? The OP could then
use update.packages() all the time instead of install.packages() the
first time and update.packages() subsequent times.
That makes more sense to me than the "force = FALSE" proposal. Duncan Murdoch
Bill Dunlap TIBCO Software wdunlap tibco.com <http://tibco.com> On Fri, Nov 8, 2019 at 2:51 PM Duncan Murdoch <murdoch.duncan at gmail.com <mailto:murdoch.duncan at gmail.com>> wrote: On 08/11/2019 2:55 p.m., Joshua Bradley wrote:
> I could do this...and I have before. This brings up a more
fundamental
> question though. You're asking me to write code that changes the
logic of
> the installation process (i.e. writing my own package installer).
Instead
> of doing that, I would rather integrate that logic into R itself
to improve
> the baseline installation process. This api proposal change would be
> additive and would not break legacy code.
That's not true.? The current behaviour is equivalent to force=TRUE; I
believe the proposal was to change the default to force=FALSE.
If you didn't change the default, it wouldn't help your example:? the
badly written script would run with force=TRUE, and wouldn't benefit
at all.
Duncan Murdoch
>
> Package managers like pip (python), conda (python), yum (CentOS), apt
> (Ubuntu), and apk (Alpine) are all "smart" enough to know (by their
> defaults) when to not download a package again. By proposing this
change,
> I'm essentially asking that R follow some of the same conventions
and best
> practices that other package managers have adopted over the decades.
>
> I assumed this list is used to discuss proposals like this to the R
> codebase. If I'm on the wrong list, please let me know.
>
> P.S. if this change happened, it would be interesting to study
the effect
> it has on the bandwidth across all CRAN mirrors. A significant
drop would
> turn into actual $$ saved
>
> Josh Bradley
>
>
> On Fri, Nov 8, 2019 at 5:00 AM Duncan Murdoch
<murdoch.duncan at gmail.com <mailto:murdoch.duncan at gmail.com>>
> wrote:
>
>> On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
>>> Hello,
>>>
>>> Currently if you install a package twice:
>>>
>>> install.packages("testit")
>>> install.packages("testit")
>>>
>>> R will build the package from source (depending on what OS
you're using)
>>> twice by default. This becomes especially burdensome when
people are
>> using
>>> big packages (i.e. lots of depends) and someone has a script with:
>>>
>>> install.packages("tidyverse")
>>> ...
>>> ... later on down the script
>>> ...
>>> install.packages("dplyr")
>>>
>>> In this case, "dplyr" is part of the tidyverse and will install
twice. As
>>> the primary "package manager" for R, it should not install a
package
>> twice
>>> (by default) when it can be so easily checked. Indeed, many
people resort
>>> to writing a few lines of code to filter out already-installed
packages
>> An
>>> r-help post from 2010 proposed a solution to improving the default
>>> behavior, by adding "force=FALSE" as a api addition to
install.packages.(
>>> https://stat.ethz.ch/pipermail/r-help/2010-May/239492.html) >>> >>> Would the R-core devs still consider this proposal?
>>
>> Whether or not they'd do it, it's easy for you to do it.
>>
>> install.packages <- function(pkgs, ..., force = FALSE) {
>>? ? ?if (!force) {
>>? ? ? ?pkgs <- Filter(Negate(requireNamespace), pkgs
>>
>>? ? ?utils::install.packages(pkgs, ...)
>> }
>>
>> You might want to make this more elaborate, e.g. doing
update.packages()
>> on the ones that exist.? But really, isn't the problem with the
script
>> you're using, which could have done a simple test before forcing
a slow
>> install?
>>
>> Duncan Murdoch
>>
>
>? ? ? ?[[alternative HTML version deleted]]
>
> ______________________________________________
> R-devel at r-project.org <mailto:R-devel at r-project.org> mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
>
______________________________________________
R-devel at r-project.org <mailto:R-devel at r-project.org> mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
I believe introducing a backward compatible force=TRUE is a good
start, even if we're not ready for making force=FALSE the default at
this point. It would help simplify quite-common instructions like:
if (requireNamespace("BiocManager"))
install.packages("BiocManager")
BiocManager::install(...)
to
install.packages("BiocManager", force=FALSE)
BiocManager::install(...)
and more so when installing lots of packages conditionally, e.g.
if (requireNamespace("foo")) install.packages("foo")
if (requireNamespace("bar")) install.packages("bar")
...
to
install.packages(c("foo", "bar", ...), force = FALSE)
Before deciding on making force=FALSE the new default, I think it
would be valuable to play the devil's advocate and explore and
identify all possible downsides of such a default, e.g. breaking
existing instructions, downstream package code that uses
install.packages() internally, and so on.
/Henrik
PS. Although the idea of having update.packages() install missing
packages is not bad, I don't think I'm a not a fan for the sole
purpose of risking installation instructions starting using
update.packages() instead, which will certainly confuse those who
don't know the history (think require() vs library()).
On Fri, Nov 8, 2019 at 3:11 PM Pages, Herve <hpages at fredhutch.org> wrote:
Hi Gabe, Keeping track of where a package was installed from would be a nice feature. However it wouldn't be as reliable as comparing hashes to decide whether a package needs re-installation or not. H. On 11/8/19 12:37, Gabriel Becker wrote:
Hi Josh, There are a few issues I can think of with this. The primary one is that CRAN(/Bioconductor) is not the only place one can install packages from. I might have version x.y.z of a package installed that was, at the time, a development version I got from github, or installed locally, etc. Hell I might have a later devel version but want the CRAN version. Not common, sure, but wiill likely happen often enough that install.packages not doing that for me when I tell it to is probably bad. Currently (though there has been some discussion of changing this) packages do not remember where they were installed from, so R wouldn't know if the version you have is actually fully the same one on the repository you pointed install.packages to or not. If that were changed and we knew that we were getting the byte identical package from the actual same source, I think this would be a nice addition, though without it I think it would be right a high but not high enough proportion of the time. R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are using big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
I mean, IMHO and as I think Duncan was alluding to, that's straight up an error by the script author. I think its a few of them, actually, but its at least one. An understandable one, sure, but thats still what it is. Scripts (which are meant to be run more than once, generally) usually shouldn't really be calling install.packages in the first place, but if they do, they should certainly not be installing umbrella packages and the packages they bring with them separately. Even having one vectorized call to install.packages where all the packages are installed would prevent this issue, including in the case where the user doesn't understand the purpose of the tidyverse package. Though the installation would still occur every time the script was run. The last thing to note is that there are at least 2 packages which provide a function which does this already (install.load and remotes), so people can get this functionality if they need it. On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know.
This is the right place to discuss things like this. Thanks for starting the conversation. Best, ~G
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=XG4gVQKZam41YLfI3w8XRAu8s7f2I5jCppA45q6NBu0&s=cOXQGMA9Va3o9x1USGggzF82D1LtFQb2ALpLRLQs2k4&e=
-- Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Actually there is one gotcha here: even if a package has not changed (i.e. same exact hash), there are situations where you want to reinstall it because one package it depends on has changed. This is because some of the stuff that gets cached at installation time (e.g. method table) can become stale and needs to be resynced. We sometimes have to deal with this kind of situation in Bioconductor when we make changes to some infrastructure packages. To avoid package caches to become out-of-sync on the user machine after the user gets the new version of the infrastructure package, we also bump the versions of all the reverse deps for which the cache needs to be resynced. A side effect of the version bumps is to also trigger build and propagation of new Windows and Mac binaries for the reverse deps affected by the change, which is good, because they also need to be rebuilt and reinstalled. This is an ugly situation but luckily a rare one and it generally happens in BioC devel only. H.
On 11/8/19 15:05, Herv? Pag?s wrote:
Hi Gabe, Keeping track of where a package was installed from would be a nice feature. However it wouldn't be as reliable as comparing hashes to decide whether a package needs re-installation or not. H. On 11/8/19 12:37, Gabriel Becker wrote:
Hi Josh, There are a few issues I can think of with this. The primary one is that CRAN(/Bioconductor) is not the only place one can install packages from. I might have version x.y.z of a package installed that was, at the time, a development version I got from github, or installed locally, etc. Hell I might have a later devel version but want the CRAN version. Not common, sure, but wiill likely happen often enough that install.packages not doing that for me when I tell it to is probably bad. Currently (though there has been some discussion of changing this) packages do not remember where they were installed from, so R wouldn't know if the version you have is actually fully the same one on the repository you pointed install.packages to or not.? If that were changed? and we knew that we were getting the byte identical package from the actual same source, I think this would be a nice addition, though without it I think it would be right a high but not high enough proportion of the time. R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are using big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
I mean, IMHO and as I think Duncan was alluding to, that's straight up an error by the script author. I think its a few of them, actually, but its at least one. An understandable one, sure, but thats still what it is. Scripts (which are meant to be run more than once, generally) usually shouldn't really be calling install.packages in the first place, but if they do, they should certainly not be installing umbrella packages and the packages they bring with them separately. Even having one vectorized call to install.packages where all the packages are installed would prevent this issue, including in the case where the user doesn't understand the purpose of the tidyverse package. Though the installation would still occur every time the script was run. The last thing to note is that there are at least 2 packages which provide a function which does this already (install.load and remotes), so people can get this functionality if they need it. On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know.
This is the right place to discuss things like this. Thanks for starting the conversation. Best, ~G
????[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=XG4gVQKZam41YLfI3w8XRAu8s7f2I5jCppA45q6NBu0&s=cOXQGMA9Va3o9x1USGggzF82D1LtFQb2ALpLRLQs2k4&e=
Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319
Sounds a very reasonable approach to me. H.
On 11/8/19 15:17, Henrik Bengtsson wrote:
I believe introducing a backward compatible force=TRUE is a good
start, even if we're not ready for making force=FALSE the default at
this point. It would help simplify quite-common instructions like:
if (requireNamespace("BiocManager"))
install.packages("BiocManager")
BiocManager::install(...)
to
install.packages("BiocManager", force=FALSE)
BiocManager::install(...)
and more so when installing lots of packages conditionally, e.g.
if (requireNamespace("foo")) install.packages("foo")
if (requireNamespace("bar")) install.packages("bar")
...
to
install.packages(c("foo", "bar", ...), force = FALSE)
Before deciding on making force=FALSE the new default, I think it
would be valuable to play the devil's advocate and explore and
identify all possible downsides of such a default, e.g. breaking
existing instructions, downstream package code that uses
install.packages() internally, and so on.
/Henrik
PS. Although the idea of having update.packages() install missing
packages is not bad, I don't think I'm a not a fan for the sole
purpose of risking installation instructions starting using
update.packages() instead, which will certainly confuse those who
don't know the history (think require() vs library()).
On Fri, Nov 8, 2019 at 3:11 PM Pages, Herve <hpages at fredhutch.org> wrote:
Hi Gabe, Keeping track of where a package was installed from would be a nice feature. However it wouldn't be as reliable as comparing hashes to decide whether a package needs re-installation or not. H. On 11/8/19 12:37, Gabriel Becker wrote:
Hi Josh, There are a few issues I can think of with this. The primary one is that CRAN(/Bioconductor) is not the only place one can install packages from. I might have version x.y.z of a package installed that was, at the time, a development version I got from github, or installed locally, etc. Hell I might have a later devel version but want the CRAN version. Not common, sure, but wiill likely happen often enough that install.packages not doing that for me when I tell it to is probably bad. Currently (though there has been some discussion of changing this) packages do not remember where they were installed from, so R wouldn't know if the version you have is actually fully the same one on the repository you pointed install.packages to or not. If that were changed and we knew that we were getting the byte identical package from the actual same source, I think this would be a nice addition, though without it I think it would be right a high but not high enough proportion of the time. R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are using big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
I mean, IMHO and as I think Duncan was alluding to, that's straight up an error by the script author. I think its a few of them, actually, but its at least one. An understandable one, sure, but thats still what it is. Scripts (which are meant to be run more than once, generally) usually shouldn't really be calling install.packages in the first place, but if they do, they should certainly not be installing umbrella packages and the packages they bring with them separately. Even having one vectorized call to install.packages where all the packages are installed would prevent this issue, including in the case where the user doesn't understand the purpose of the tidyverse package. Though the installation would still occur every time the script was run. The last thing to note is that there are at least 2 packages which provide a function which does this already (install.load and remotes), so people can get this functionality if they need it. On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know.
This is the right place to discuss things like this. Thanks for starting the conversation. Best, ~G
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=XG4gVQKZam41YLfI3w8XRAu8s7f2I5jCppA45q6NBu0&s=cOXQGMA9Va3o9x1USGggzF82D1LtFQb2ALpLRLQs2k4&e=
-- Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319
______________________________________________ R-devel at r-project.org mailing list https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwIFaQ&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=fGJJxDES27LnpzyoNVndAepN8xSbeWQ7mB48xpQ-5UU&s=OQXCqMhgyQJDnh8FbLqcbXNHOXbd3F1uDWvKDS6Fk3s&e=
Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319
On 08/11/2019 6:17 p.m., Henrik Bengtsson wrote:
I believe introducing a backward compatible force=TRUE is a good
start, even if we're not ready for making force=FALSE the default at
this point. It would help simplify quite-common instructions like
if (requireNamespace("BiocManager"))
install.packages("BiocManager")
BiocManager::install(...)
to
install.packages("BiocManager", force=FALSE)
BiocManager::install(...)
If simplifying instructions is the goal, it would be even simpler to
just install it unconditionally:
install.packages("BiocManager")
Unlike dplyr (the original example in this thread), BiocManager is a
tiny package with no compiling needed, so it hardly needs any time to
install.
And as previously mentioned, the backward compatible force=TRUE wouldn't
help with the bad script at all. In fact, the bad script could be fixed
simply by realizing that
install.packages("tidyverse")
means it's actually a bad idea to also include
install.packages("dplyr")
because the former would install dplyr if and only if it was not already
installed. So it seems to me that fixing the bad script (by deleting
one line) is the solution to the problem, not fixing R with a multistage
series of revisions, tests, etc.
Duncan Murdoch
and more so when installing lots of packages conditionally, e.g.
if (requireNamespace("foo")) install.packages("foo")
if (requireNamespace("bar")) install.packages("bar")
...
to
install.packages(c("foo", "bar", ...), force = FALSE)
Before deciding on making force=FALSE the new default, I think it
would be valuable to play the devil's advocate and explore and
identify all possible downsides of such a default, e.g. breaking
existing instructions, downstream package code that uses
install.packages() internally, and so on.
/Henrik
PS. Although the idea of having update.packages() install missing
packages is not bad, I don't think I'm a not a fan for the sole
purpose of risking installation instructions starting using
update.packages() instead, which will certainly confuse those who
don't know the history (think require() vs library()).
On Fri, Nov 8, 2019 at 3:11 PM Pages, Herve <hpages at fredhutch.org> wrote:
Hi Gabe, Keeping track of where a package was installed from would be a nice feature. However it wouldn't be as reliable as comparing hashes to decide whether a package needs re-installation or not. H. On 11/8/19 12:37, Gabriel Becker wrote:
Hi Josh, There are a few issues I can think of with this. The primary one is that CRAN(/Bioconductor) is not the only place one can install packages from. I might have version x.y.z of a package installed that was, at the time, a development version I got from github, or installed locally, etc. Hell I might have a later devel version but want the CRAN version. Not common, sure, but wiill likely happen often enough that install.packages not doing that for me when I tell it to is probably bad. Currently (though there has been some discussion of changing this) packages do not remember where they were installed from, so R wouldn't know if the version you have is actually fully the same one on the repository you pointed install.packages to or not. If that were changed and we knew that we were getting the byte identical package from the actual same source, I think this would be a nice addition, though without it I think it would be right a high but not high enough proportion of the time. R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are using big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
I mean, IMHO and as I think Duncan was alluding to, that's straight up an error by the script author. I think its a few of them, actually, but its at least one. An understandable one, sure, but thats still what it is. Scripts (which are meant to be run more than once, generally) usually shouldn't really be calling install.packages in the first place, but if they do, they should certainly not be installing umbrella packages and the packages they bring with them separately. Even having one vectorized call to install.packages where all the packages are installed would prevent this issue, including in the case where the user doesn't understand the purpose of the tidyverse package. Though the installation would still occur every time the script was run. The last thing to note is that there are at least 2 packages which provide a function which does this already (install.load and remotes), so people can get this functionality if they need it. On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know.
This is the right place to discuss things like this. Thanks for starting the conversation. Best, ~G
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=XG4gVQKZam41YLfI3w8XRAu8s7f2I5jCppA45q6NBu0&s=cOXQGMA9Va3o9x1USGggzF82D1LtFQb2ALpLRLQs2k4&e=
-- Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Just to clarify the expected behavior I had in mind when proposing the force argument. force = T would mean you will "force" an install no matter what (aligns with the current behavior of the command) force = F means install a package if it is not found in the local R library on your system. If it is already installed, do nothing and return as if a successfull install occurred. On Fri, Nov 8, 2019, 7:27 PM Duncan Murdoch <murdoch.duncan at gmail.com> wrote:
On 08/11/2019 6:17 p.m., Henrik Bengtsson wrote:
I believe introducing a backward compatible force=TRUE is a good
start, even if we're not ready for making force=FALSE the default at
this point. It would help simplify quite-common instructions like
if (requireNamespace("BiocManager"))
install.packages("BiocManager")
BiocManager::install(...)
to
install.packages("BiocManager", force=FALSE)
BiocManager::install(...)
If simplifying instructions is the goal, it would be even simpler to
just install it unconditionally:
install.packages("BiocManager")
Unlike dplyr (the original example in this thread), BiocManager is a
tiny package with no compiling needed, so it hardly needs any time to
install.
And as previously mentioned, the backward compatible force=TRUE wouldn't
help with the bad script at all. In fact, the bad script could be fixed
simply by realizing that
install.packages("tidyverse")
means it's actually a bad idea to also include
install.packages("dplyr")
because the former would install dplyr if and only if it was not already
installed. So it seems to me that fixing the bad script (by deleting
one line) is the solution to the problem, not fixing R with a multistage
series of revisions, tests, etc.
Duncan Murdoch
and more so when installing lots of packages conditionally, e.g.
if (requireNamespace("foo")) install.packages("foo")
if (requireNamespace("bar")) install.packages("bar")
...
to
install.packages(c("foo", "bar", ...), force = FALSE)
Before deciding on making force=FALSE the new default, I think it
would be valuable to play the devil's advocate and explore and
identify all possible downsides of such a default, e.g. breaking
existing instructions, downstream package code that uses
install.packages() internally, and so on.
/Henrik
PS. Although the idea of having update.packages() install missing
packages is not bad, I don't think I'm a not a fan for the sole
purpose of risking installation instructions starting using
update.packages() instead, which will certainly confuse those who
don't know the history (think require() vs library()).
On Fri, Nov 8, 2019 at 3:11 PM Pages, Herve <hpages at fredhutch.org>
wrote:
Hi Gabe, Keeping track of where a package was installed from would be a nice feature. However it wouldn't be as reliable as comparing hashes to decide whether a package needs re-installation or not. H. On 11/8/19 12:37, Gabriel Becker wrote:
Hi Josh, There are a few issues I can think of with this. The primary one is
that
CRAN(/Bioconductor) is not the only place one can install packages
from. I
might have version x.y.z of a package installed that was, at the time,
a
development version I got from github, or installed locally, etc. Hell
I
might have a later devel version but want the CRAN version. Not common, sure, but wiill likely happen often enough that install.packages not
doing
that for me when I tell it to is probably bad. Currently (though there has been some discussion of changing this)
packages
do not remember where they were installed from, so R wouldn't know if
the
version you have is actually fully the same one on the repository you pointed install.packages to or not. If that were changed and we knew
that
we were getting the byte identical package from the actual same
source, I
think this would be a nice addition, though without it I think it
would be
right a high but not high enough proportion of the time. R will build the package from source (depending on what OS you're
using)
twice by default. This becomes especially burdensome when people are
using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
I mean, IMHO and as I think Duncan was alluding to, that's straight up
an
error by the script author. I think its a few of them, actually, but
its at
least one. An understandable one, sure, but thats still what it is.
Scripts
(which are meant to be run more than once, generally) usually shouldn't really be calling install.packages in the first place, but if they do,
they
should certainly not be installing umbrella packages and the packages
they
bring with them separately. Even having one vectorized call to install.packages where all the
packages
are installed would prevent this issue, including in the case where the user doesn't understand the purpose of the tidyverse package. Though
the
installation would still occur every time the script was run. The last thing to note is that there are at least 2 packages which
provide
a function which does this already (install.load and remotes), so
people
can get this functionality if they need it. On Fri, Nov 8, 2019 at 11:56 AM Joshua Bradley <jgbradley1 at gmail.com>
wrote:
I assumed this list is used to discuss proposals like this to the R codebase. If I'm on the wrong list, please let me know.
This is the right place to discuss things like this. Thanks for
starting
the conversation. Best, ~G
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list
https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Ddevel&d=DwICAg&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=XG4gVQKZam41YLfI3w8XRAu8s7f2I5jCppA45q6NBu0&s=cOXQGMA9Va3o9x1USGggzF82D1LtFQb2ALpLRLQs2k4&e=
-- Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
If this is the behaviour you are looking for, you might like to try pak (https://pak.r-lib.org) # Create a temporary library path <- tempfile() dir.create(path) .libPaths(path) pak::pkg_install("scales") #> ? Will install 8 packages: #> colorspace (1.4-1), labeling (0.3), munsell (0.5.0), R6 (2.4.0), RColorBrewer #> (1.1-2), Rcpp (1.0.2), scales (1.0.0), viridisLite (0.3.0) #> #> ? Will download 2 CRAN packages (4.7 MB), cached: 6 (3.69 MB). #> #> ? Installed colorspace 1.4-1 [139ms] #> ? Installed labeling 0.3 [206ms] #> ? Installed munsell 0.5.0 [288ms] #> ? Installed R6 2.4.0 [375ms] #> ? Installed RColorBrewer 1.1-2 [423ms] #> ? Installed Rcpp 1.0.2 [472ms] #> ? Installed scales 1.0.0 [511ms] #> ? Installed viridisLite 0.3.0 [569ms] #> ? 1 + 7 pkgs | kept 0, updated 0, new 8 | downloaded 2 (4.7 MB) [2.8s] pak::pkg_install("scales") #> ? No changes needed #> ? 1 + 7 pkgs | kept 7, updated 0, new 0 | downloaded 0 (0 B) [855ms] remove.packages(c("Rcpp", "munsell")) pak::pkg_install("scales") #> ? Will install 2 packages: #> munsell (0.5.0), Rcpp (1.0.2) #> #> ? All 2 packages (4.88 MB) are cached. #> #> ? Installed munsell 0.5.0 [75ms] #> ? Installed Rcpp 1.0.2 [242ms] #> ? 1 + 7 pkgs | kept 6, updated 0, new 2 | downloaded 0 (0 B) [1.5s]
On Fri, Nov 8, 2019 at 1:07 AM Joshua Bradley <jgbradley1 at gmail.com> wrote:
Hello,
Currently if you install a package twice:
install.packages("testit")
install.packages("testit")
R will build the package from source (depending on what OS you're using)
twice by default. This becomes especially burdensome when people are using
big packages (i.e. lots of depends) and someone has a script with:
install.packages("tidyverse")
...
... later on down the script
...
install.packages("dplyr")
In this case, "dplyr" is part of the tidyverse and will install twice. As
the primary "package manager" for R, it should not install a package twice
(by default) when it can be so easily checked. Indeed, many people resort
to writing a few lines of code to filter out already-installed packages An
r-help post from 2010 proposed a solution to improving the default
behavior, by adding "force=FALSE" as a api addition to install.packages.(
https://stat.ethz.ch/pipermail/r-help/2010-May/239492.html)
Would the R-core devs still consider this proposal?
Josh Bradley
[[alternative HTML version deleted]]
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Joshua, Doing this well "horizontally" (across different OSs even though for just one domain, like CRAN and R) is difficult. We have decent "vertical" solutions (with one OS / distro) for (at least some) use / deployment cases as I show in a brief blog post and video here http://dirk.eddelbuettel.com/blog/2019/06/09#022_rocker_and_ppas https://www.youtube.com/watch?v=qIjWirNma-8&t=19s Installing either 'tidyverse' or 'rstan' reduces to a single 'apt-get install' command invocation which installs everything needed in a minute or two. In a vertical stack, we can control for other OS-specific dependencies which is powerful. But it doesn't span across OSs. Covering installations both "horizontally" and "vertically" is hard. Dirk
http://dirk.eddelbuettel.com | @eddelbuettel | edd at debian.org