Problem with double columns. I need double but bigrquery brings integer to me

[joscani]

In https://bigrquery.r-dbi.org/ I read this

library(dplyr)

natality <- tbl(con, "natality")

natality %>%
  select(year, month, day, weight_pounds) %>% 
  head(10) %>%
  collect()

and get

#> # A tibble: 10 × 4
#>     year month   day weight_pounds
#>    <int> <int> <int>         <dbl>
#>  1  2005     5    NA          7.56
#>  2  2005     6    NA          4.75
#>  3  2005    11    NA          7.37
#>  4  2005     6    NA          7.81
#>  5  2005     5    NA          3.69
#>  6  2005    10    NA          6.95
#>  7  2005    12    NA          8.44
#>  8  2005    10    NA          8.69
#>  9  2005    10    NA          7.63
#> 10  2005     7    NA          8.27

but trying to get the same using my billing project

con <- dbConnect(
  bigrquery::bigquery(),
  project = "publicdata",
  dataset = "samples",
  billing = billing
)

natality <- tbl(con, "natality")

natality  |> 
  select(year, month, day, weight_pounds)  |>  
  head(4)

I get

Job complete
Billed: 3.76 GB
Streamed 4 rows in 1 messages.                                                                   
# Source:   SQL [4 x 4]
# Database: BigQueryConnection
   year month   day weight_pounds
  <int> <int> <int>         <int>
1  2005    11    NA             8
2  2005     1    NA             8
3  2005     3    NA             7
4  2005     7    NA             7

Is a problem , because I need to summarise and get target (0, 1 variable) averages for a group, and only gets 1 or 0 not te proportion.

And If I upload a dataframe like mtcars for example to a bigquery table . double columns in dataframe are changed to integer columns.

Any idea? Thanks

[joscani]

Ok. The problem is with the newest development release. If I remove package and install again with

install.packages("bigrquery")

all runs smoothly