[jira] [Updated] (ARROW-8748) [R] Add bindings to ConcatenateTables

["Neal Richardson (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-8748?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Neal Richardson updated ARROW-8748:
-----------------------------------
    Fix Version/s:     (was: 3.0.0)

> [R] Add bindings to ConcatenateTables
> -------------------------------------
>
>                 Key: ARROW-8748
>                 URL: https://issues.apache.org/jira/browse/ARROW-8748
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: R
>            Reporter: Dominic Dennenmoser
>            Priority: Major
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> 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:
> {code: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_combined_tables.arrow")
> {code}
> But this is actually not really a meaningful measure because of putting the data back as dataframes/tibbles 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}}.
> {code:java}
> dplyr::bind_rows(
>    "a" = arrow.table.1,
>    "b" = arrow.table.2,
>    "c" = arrow.table.3,
>    "d" = arrow.table.4, 
>    .id = "ID"
> ) %>% 
>  arrow::write_ipc_stream(sink = "file_name_combined_tables.arrow"){code}
>  
>  



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