HenrikBengtsson commented on issue #40231:
URL: https://github.com/apache/arrow/issues/40231#issuecomment-1970341990
FYI, you can apply those marshalling and unmarshalling operations manually,
e.g.
```r
library(parallel)
cl <- makeCluster(1)
.y <- parallel::parLapply(cl, X = 1, fun = function(x) {
## Create arrow table on parallel worker
z <- arrow::as_arrow_table(head(iris))
## Marshal non-exportable objects
arrow::write_to_raw(z)
})
## Unmarshal marshalled objects
y <- lapply(.y, FUN = arrow::read_ipc_stream)
print(y)
#> [[1]]
#> # A tibble: 6 × 5
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <dbl> <dbl> <dbl> <dbl> <fct>
#> 1 5.1 3.5 1.4 0.2 setosa
#> 2 4.9 3 1.4 0.2 setosa
#> 3 4.7 3.2 1.3 0.2 setosa
#> 4 4.6 3.1 1.5 0.2 setosa
#> 5 5 3.6 1.4 0.2 setosa
#> 6 5.4 3.9 1.7 0.4 setosa
```
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