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https://issues.apache.org/jira/browse/ARROW-3750?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16682338#comment-16682338
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Romain François commented on ARROW-3750:
----------------------------------------
Small example to get started:
{code}
library(reticulate)
pa <- import("pyarrow")
i32 <- pa$int32()
.Internal(inspect(i32))
#> @7fecb9f6caa8 04 ENVSXP g0c0 [OBJ,NAM(3),ATT] <0x7fecb9f6caa8>
#> FRAME:
#> @7fecb9f6c958 02 LISTSXP g0c0 []
#> TAG: @7fecae9a1b08 01 SYMSXP g1c0 [MARK] "convert"
#> @7fecb9f538b0 10 LGLSXP g0c1 [] (len=1, tl=0) 1
#> TAG: @7fecba1a1f00 01 SYMSXP g0c0 [] "pyobj"
#> @7fecb9f6ca00 22 EXTPTRSXP g0c0 []
#> ENCLOS:
#> @7fecad01e2a8 04 ENVSXP g1c0 [MARK,NAM(3)] <R_EmptyEnv>
#> ATTRIB:
#> @7fecb9f711f0 02 LISTSXP g0c0 []
#> TAG: @7fecad01dfd0 01 SYMSXP g1c0 [MARK,NAM(3),LCK,gp=0x6000] "class" (has
value)
#> @7fecb9f05ec8 16 STRSXP g0c2 [NAM(3)] (len=2, tl=0)
#> @7fecb9eeb458 09 CHARSXP g0c3 [gp=0x60,ATT] [ASCII] [cached]
"pyarrow.lib.DataType"
#> @7fecaeb87cb8 09 CHARSXP g1c3 [MARK,gp=0x60] [ASCII] [cached]
"python.builtin.object"
get("pyobj", as.environment(i32))
#> <pointer: 0x1157fae40>
{code}
Then `pyobj` is an external pointer to some pyObject I suppose, we would need
to figure out how to go from this to the underlying shared_ptr or unique_ptr
> [R] Pass various wrapped Arrow objects created in Python into R with zero
> copy via reticulate
> ---------------------------------------------------------------------------------------------
>
> Key: ARROW-3750
> URL: https://issues.apache.org/jira/browse/ARROW-3750
> Project: Apache Arrow
> Issue Type: New Feature
> Components: R
> Reporter: Wes McKinney
> Priority: Major
>
> A user may wish to use some functionality available only in pyarrow using
> reticulate; it would be useful to be able to construct an R wrapper object to
> the C++ object inside the corresponding Python type, e.g. {{pyarrow.Table}}.
> This probably will require some new functions to return the memory address of
> the shared_ptr/unique_ptr inside the Cython types so that a function on the R
> side can copy the smart pointer and create the corresponding R wrapper type
> cc [~pitrou]
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