paleolimbot commented on issue #37860:
URL: https://github.com/apache/arrow/issues/37860#issuecomment-1734359101
I think the arrow R package implements the `$metadata` shortcut for `Table`
and `Dataset` objects, whereas pyarrow does not. I think the metadata is there,
it just needs an extra `.schema`:
``` r
library(arrow, warn.conflicts = FALSE)
tf <- tempfile()
tbl <- arrow_table(iris)
cur_meta <- tbl$metadata
cur_meta[["test"]] <- "testing other metadata"
tbl$metadata <- cur_meta
write_dataset(tbl, tf, partitioning = "Species")
open_dataset(tf)$schema$metadata$test
#> [1] "testing other metadata"
pa_dataset <- reticulate::import("pyarrow.dataset", convert = FALSE)
ds <- pa_dataset$dataset(tf)
ds$schema$metadata$keys()
#> dict_keys([b'r', b'test'])
```
Or in regular Python land:)
```python
from pyarrow import dataset
ds = dataset.dataset("path/to/dataset")
ds.schema.metadata[b"test"]
```
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