domiden opened a new issue #7127:
URL: https://github.com/apache/arrow/issues/7127
First at all, many thanks for your hard work! I was quite exited, when you
guys implemented some basic function of the the `dplyr` package. Is there a why
to combine tow or more arrow tables into one by rows or columns? At the moment
my workaround looks like this:
``` r
dplyr::bind_rows(
"a" = arrow.table.1 %>% dplyr::collect(),
"b" = arrow.table.2 %>% dplyr::collect(),
"c" = arrow.table.3 %>% dplyr::collect(),
"d" = arrow.table.4 %>% dplyr::collect(),
.id = "ID"
) %>%
arrow::write_ipc_stream(sink = "file_name.arrow")
```
But this is actually not really a meaningful measure because of putting the
data back into the r environment, which might lead to an exhaust of RAM space.
Perhaps you might have a better workaround on hand. It would be great if you
guys could implement the `bind_rows` and `bind_cols`methods provided by
`dplyr`.
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