A convenience wrapper around writing an object to a temporary file and then
uploading to a specified repo/release. This convenience comes at a cost to
performance efficiency, since it first downloads the data to disk and then
reads the data from disk into memory. See vignette("cloud_native")
for
alternative ways to bypass this flow and work with the data directly.
Usage
pb_read(
file,
...,
repo = guess_repo(),
tag = "latest",
read_function = guess_read_function(file),
.token = gh::gh_token()
)
Arguments
- file
string: file name
- ...
additional arguments passed to
read_function
after file- repo
string: GH repository name in format "owner/repo". Default
guess_repo()
tries to guess based on current working directory's git repo- tag
string: tag for the GH release, defaults to "latest"
- read_function
function: used to read in the data, where the file is passed as the first argument and any additional arguments are subsequently passed in via
...
. Defaultguess_read_function(file)
will check the file extension and try to find an appropriate read function if the extension is one of rds, csv, tsv, parquet, txt, or json, and will abort if not found.- .token
GitHub authentication token, see
gh::gh_token()
See also
Other pb_rw:
guess_read_function()
,
guess_write_function()
,
pb_write()
Examples
# \donttest{
try({ # try block is to avoid CRAN issues and is not required in ordinary usage
piggyback::pb_read("mtcars.tsv.gz", repo = "cboettig/piggyback-tests")
})
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> 6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> 7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> 8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> 9 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> 10 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> 11 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> 12 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> 13 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> 14 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> 15 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> 16 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> 17 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> 18 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> 19 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> 20 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> 21 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> 22 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> 23 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> 24 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> 25 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> 26 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> 27 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> 28 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> 29 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> 30 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> 31 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> 32 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
# }