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improving the performance of install.packages

19 messages · Duncan Murdoch, Avraham Adler, Gabriel Becker +6 more

#
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
#
On 08/11/2019 2:06 a.m., Joshua Bradley wrote:
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:

  
  
#
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:

            

  
  
#
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 guess you would just use force=TRUE

H.
On 11/8/19 12:06, William Dunlap via R-devel wrote:

  
    
#
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:

            
#
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)
install.packages("tidyverse")
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:

            
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:
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
#
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:

  
  
#
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:

  
    
#
On 08/11/2019 6:02 p.m., William Dunlap wrote:
That makes more sense to me than the "force = FALSE" proposal.

Duncan Murdoch
#
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:
#
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:

  
    
#
Sounds a very reasonable approach to me.

H.
On 11/8/19 15:17, Henrik Bengtsson wrote:

  
    
#
On 08/11/2019 6:17 p.m., Henrik Bengtsson wrote:
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
#
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:

  
  
#
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:

  
    
#
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