nbenn commented on issue #343:
URL:
https://github.com/apache/arrow-nanoarrow/issues/343#issuecomment-1867737895
@paleolimbot the following does the trick for me:
```r
infer_nanoarrow_schema.AsIs <- function(x, ...) {
# unfortunately NextMethod() goes directly to `default`
class(x) <- class(x)[-1]
infer_nanoarrow_schema(x)
}
infer_nanoarrow_schema.list <- function(x, ...) {
is_raw <- vapply(x, is.raw, logical(1))
if (!all(is_raw)) {
stop("Only lists of raw vectors are currently supported", call. = FALSE)
}
if (length(x) > 0 && sum(lengths(x)) > .Machine$integer.max) {
nanoarrow::na_large_binary()
} else {
nanoarrow::na_binary()
}
}
```
where the list implementation would be simple in nanoarrow, as it's a copy
of the blob implementation.
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