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could not load symbol "SuiteSparse_config_malloc_func_set" with julia 1.10.0 and R 4.1.2 on Linux during julia_setup #224

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Alexander-Barth opened this issue Feb 7, 2024 · 3 comments

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@Alexander-Barth
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I am trying to install JuliaCall with R 4.1.2 and julia 1.10.0. Unfortunately the installation fails due to SuiteSparse.
R (on Ubuntu 22.04) uses suite sparse config version 5.10 however (/usr/lib/x86_64-linux-gnu/libsuitesparseconfig.so.5) however julia 1.10 is bundeld with version 7.2.1 (<julia-installation>/lib/julia/libsuitesparseconfig.so.7.2.1).

library(JuliaCall);  
julia_setup(verbose=TRUE)

This produces the following error:

Julia version 1.10.0 at location /mnt/data1/abarth/opt/julia-1.10.0/bin will be used.

Loading setup script for JuliaCall...
┌ Error: Error during initialization of module CHOLMOD
│   exception =
│    could not load symbol "SuiteSparse_config_malloc_func_set":
│    /usr/lib/x86_64-linux-gnu/libsuitesparseconfig.so.5: undefined symbol: SuiteSparse_config_malloc_func_set
│    Stacktrace:
│      [1] __init__()
│        @ SparseArrays.CHOLMOD /mnt/data1/abarth/opt/julia-1.10.0/share/julia/stdlib/v1.10/SparseArrays/src/solvers/cholmod.jl:224
│      [2] run_module_init(mod::Module, i::Int64)
│        @ Base ./loading.jl:1128
│      [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
│        @ Base ./loading.jl:1116
│      [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::String, depmods::Vector{Any})
│        @ Base ./loading.jl:1061
│      [5] _tryrequire_from_serialized(modkey::Base.PkgId, path::String, ocachepath::String, sourcepath::String, depmods::Vector{Any})
│        @ Base ./loading.jl:1475
│      [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128)
│        @ Base ./loading.jl:1568
│      [7] _require(pkg::Base.PkgId, env::String)
│        @ Base ./loading.jl:1932
│      [8] __require_prelocked(uuidkey::Base.PkgId, env::String)
│        @ Base ./loading.jl:1806
│      [9] #invoke_in_world#3
│        @ Base ./essentials.jl:921 [inlined]
│     [10] invoke_in_world
│        @ Base ./essentials.jl:918 [inlined]
│     [11] _require_prelocked(uuidkey::Base.PkgId, env::String)
│        @ Base ./loading.jl:1797
│     [12] macro expansion
│        @ Base ./loading.jl:1784 [inlined]
│     [13] macro expansion
│        @ Base ./lock.jl:267 [inlined]
│     [14] __require(into::Module, mod::Symbol)
│        @ Base ./loading.jl:1747
│     [15] #invoke_in_world#3
│        @ Base ./essentials.jl:921 [inlined]
│     [16] invoke_in_world
│        @ Base ./essentials.jl:918 [inlined]
│     [17] require(into::Module, mod::Symbol)
│        @ Base ./loading.jl:1740
│     [18] top-level scope
│        @ ~/R/x86_64-pc-linux-gnu-library/4.1/JuliaCall/julia/setup.jl:13
│     [19] include(mod::Module, _path::String)
│        @ Base ./Base.jl:495
│     [20] top-level scope
│        @ none:1
└ @ SparseArrays.CHOLMOD /mnt/data1/abarth/opt/julia-1.10.0/share/julia/stdlib/v1.10/SparseArrays/src/solvers/cholmod.jl:241
Finish loading setup script for JuliaCall.

In the past, I could resolve similar issues by setting LD_PRELOAD or LD_LIBRARY_PATH forcing the loading of the newer library, for example:

export LD_PRELOAD=/mnt/data1/abarth/opt/julia-1.10.0/lib/julia/libsuitesparseconfig.so.7.2.1

before starting R. But I get the same error as above (/usr/lib/x86_64-linux-gnu/libsuitesparseconfig.so.5: undefined symbol: SuiteSparse_config_malloc_func_set).

I don't have these issues with julia 1.6.2 as both use the same version of this library.

Any ideas how this issue can be resolved (besides rebuilding R with the same libraries as Julia)?

Thank you very much for this nice package and your efforts to bridge the R and Julia communities 😀

Session Info
> sessionInfo()
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04.3 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so

locale:
 [1] LC_CTYPE=en_US.UTF-8          LC_NUMERIC=C                 
 [3] LC_TIME=en_US.UTF-8           LC_COLLATE=en_US.UTF-8       
 [5] LC_MONETARY=en_US.UTF-8       LC_MESSAGES=en_US.UTF-8      
 [7] LC_PAPER=en_US.UTF-8          LC_NAME=en_US.UTF-8          
 [9] LC_ADDRESS=en_US.UTF-8        LC_TELEPHONE=en_US.UTF-8     
[11] LC_MEASUREMENT=en_US.UTF-8    LC_IDENTIFICATION=en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] JuliaCall_0.17.5

loaded via a namespace (and not attached):
[1] compiler_4.1.2 tools_4.1.2    Rcpp_1.0.12    knitr_1.45     xfun_0.41     
@Alexander-Barth
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Alexander-Barth commented Feb 7, 2024

In fact, on Ubuntu libsuitesparseconfig5 is not a dependency of R. If I remove it, I can use julia 1.10 and R together.

It seems that the issue is that R sets its LD_LIBRARY_PATH (probably here):

$ echo $LD_LIBRARY_PATH

abarth@work:~ 
$ R -q
> Sys.getenv("LD_LIBRARY_PATH")
[1] "/usr/lib/R/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/jvm/default-java/lib/server"
> 

Probably any library installed in these paths will shadow a julia library of the same name.
The somewhat bizarre work-around is to add the julia library directory to R_LD_LIBRARY_PATH which works even when there is a libsuitesparseconfig5 installed.

$ export R_LD_LIBRARY_PATH="/mnt/data1/abarth/opt/julia-1.10.0/lib/julia/:/usr/lib/R/lib:/usr/lib/x86_64-linux-gnu"
abarth@work:~ 
$ R -q
> library(JuliaCall)
> julia_setup()
Julia version 1.10.0 at location /mnt/data1/abarth/opt/julia-1.10.0/bin will be used.
Loading setup script for JuliaCall...
Finish loading setup script for JuliaCall.

@ahazra
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ahazra commented Jun 11, 2024

Setting alias julia='LD_LIBRARY_PATH=" " julia' seems to have solved the problem. But how can I set this configuration in VSCODE? It would be great if anyone can inform me.

@aavogt
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aavogt commented Aug 14, 2024

$ export R_LD_LIBRARY_PATH="/mnt/data1/abarth/opt/julia-1.10.0/lib/julia/:/usr/lib/R/lib:/usr/lib/x86_64-linux-gnu"

This idea works but it creates problems when R tries to use the slightly different libraries bundled with julia instead of it's own.

>options(help_type='html')
>?julia_source
starting httpd help server ...Error in startDynamicHelp(TRUE) : internet routines cannot be loaded
In addition: Warning message:
In startDynamicHelp(TRUE) :
  unable to load shared object '/usr/lib/R/modules//internet.so':
  /home/aavogt/.julia/juliaup/julia-1.10.4+0.x64.linux.gnu/lib/julia/libcurl.so.4: version `CURL_OPENSSL_4' not found (required by /usr/lib/R/modules//internet.so)

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