Uh oh!
There was an error while loading. Please reload this page.
ARROW-3942: [R] Feather api fixes - #3106
Conversation
wesm
commented
Dec 5, 2018
I had suggested having an |
romainfrancois
commented
Dec 5, 2018
Then I suppose it would also need use_threads. This only apply to the conversion right ? |
wesm
commented
Dec 5, 2018
Reading to an Arrow table is zero-copy when the input is a memory map -- the use_threads is only for parallelizing conversions to pandas. Have you looked at parallelizing the equivalent conversions in R? https://issues.apache.org/jira/browse/ARROW-3315 (there is a companion issue for parallelizing the other direction) |
romainfrancois
commented
Dec 5, 2018
Not yet. at the moment focusing on the vignette and fixing things independent pr as needed |
feather_table_reader -> FeatherTableReader feather_table_writer -> FeatherTableWriter
0a8537a to
d6c30a3Comparewesm
commented
Dec 9, 2018
Build fails due to merge after fixing this |
wesm
commented
Dec 10, 2018
Thank you. merging |
Some fixes to follow up open #3043, and added the columns argument to
read_featherthat can be:Also adds
as_tibbleargument to read_feather to switch between data.frame and arrow::Table return value