Maximilian Paulisch
Maximilian Paulisch
This is one of the reasons why I still use `transmute()` over `mutate(.keep = "none")`.
Here's a reprex ``` r library(data.table) library(dplyr, warn.conflicts = FALSE) data var1 #> 1: a #> 2: b # doesn't work dt var1 #> 1: b # works dt var1...
@DavisVaughan I now also migrated `xml2_node.cpp` to cpp11. But the performance hit from string handling really bites us now. It is nearly as slow as before replacing the S3 dispatch.
I haven't looked into this in more detail but only checked `xml_name()` (see the benchmark in https://github.com/r-lib/xml2/pull/400). The easiest would probably be to check and carefully revert some of the...
@edwindj @markvanderloo Would be great if you could fix this issue
I am not quite sure how empty strings came to my mind. Probably just when I was dealing with edge cases in the tests for `json2()`. Currently, I cannot really...
Sorry, this was just a quick reminder for myself that it might be interesting to offer `dbplyr` like translations. I updated the issue to make it a bit more clear....
Which benefits do you see? Reduced memory consumption or other things as well? And do you have use cases for this already? Current challenges and questions: * How would `tibblify()`...
The alternative - maybe easier - would be to test out a cpp11 implementation and see whether I encounter the same performance issues and if so whether we can fix...
This is a bit more complicated than expected. At least there is only little documentation how to catch R errors and pass them along to a custom error handler. Also...