Error in `vctrs::vec_locate_matches()`:

[jedarojas]

I am trying to do a left_join, which contains the same column names and the same data types, but I get the following error.

This is the code:
BD_DESTINOS_ESTIMADOS_2 <-
BD_DESTINOS_ESTIMADOS %>%
left_join(eventos_mes_tip3 %>% select(TARJETA_NUMERO, F_evento, TIP_DIA, H_evento,
VARIANTE_CODIGO, AGRUPACION),
by = c(TARJETA_NUMERO, F_evento, TIP_DIA, H_evento, VARIANTE_CODIGO))

and this is the message error:

Error in vctrs::vec_locate_matches():
! x and y should have the same type.
ℹ In file match-joint.c at line 239.
ℹ This is an internal error that was detected in the vctrs package.
Please report it at https://github.com/r-lib/vctrs/issues with a reprex and the full backtrace.
Backtrace:
▆

1. ├─BD_DESTINOS_ESTIMADOS %>% ...
2. ├─dplyr::left_join(...)
3. ├─dplyr:::left_join.data.frame(...)
4. │ └─dplyr:::join_mutate(...)
5. │ └─dplyr:::join_rows(...)
6. │ └─dplyr:::dplyr_locate_matches(...)
7. │ ├─base::withCallingHandlers(...)
8. │ └─vctrs::vec_locate_matches(...)
9. └─rlang:::stop_internal_c_lib(...)
10. └─rlang::abort(message, call = call, .internal = TRUE, .frame = frame)

[Davis Vaughan]

This looks interesting, and is likely a bug on our end, but we need more information from you to help.

Could you please turn this into a self-contained reprex (short for minimal reproducible example)? It will help us help you if we can be sure we're all working with/looking at the same stuff.

If you've never heard of a reprex before, you might want to start by reading the tidyverse.org help page.

You can install reprex by running (you may already have it, though, if you have the tidyverse package installed):

install.packages("reprex")

Thanks

[Jack Comber]

Hi!

I encountered the same bug the other day when similarly using a left_join. I am trying to create a reprex of the issue but have currently been unsuccessful in recreating the bug with fake data.

I did however manage to find a work-around that may help illuminate the issue:

In the previous line I had used rbind to combine two time series dataframes with the same columns across different time periods. When I switched from "rbind" to "bind_rows" the left_join in the following lines no longer produced this error.

Not sure if this will aid a bug fix but thought it might provide a lead of sorts until I can reproduce the issue with fake data.

Thanks,

Jack

[Davis Vaughan]

If you can further track down any kind of reprex, that would definitely be the most helpful thing for us!