GbifQueue
GBIF download queue
reqs(list) a named list of objects of class occ_download()
queue(list) holds the queued jobs
print()
print method for the GbifQueue class
GbifQueue$print(x, ...)
xself
...ignored
new()
Create a new GbifQueue object
GbifQueue$new(..., .list = list())
...any number of occ_download() requests
.listany number of occ_download() requests as lazy
objects, called with e.g., lazyeval::lazy()
A new GbifQueue object
add()
Add single jobs to the queue
GbifQueue$add(x)
xan occ_download() object
nothing returned; adds job (x) to the queue
add_all()
Add all jobs to the queue
GbifQueue$add_all()
nothing returned
remove()
Remove a job from the queue
GbifQueue$remove(x)
xan occ_download() object
nothing returned
next_()
Get the next job in the queue. if no more jobs,
returns empty list
GbifQueue$next_()
next job or empty list
last_()
Get the last job in the queue. if no more jobs,
returns empty list
GbifQueue$last_()
last job or empty list
jobs()
Get number of jobs in the queue
GbifQueue$jobs()
(integer) number of jobs
clone()
The objects of this class are cloneable with this method.
GbifQueue$clone(deep = FALSE)
deepWhether to make a deep clone.
## Not run:
if (interactive()) { # dont run in automated example runs, too costly
x <- GbifQueue$new(
occ_download(pred('taxonKey', 3119195), pred("year", 1976)),
occ_download(pred('taxonKey', 3119195), pred("year", 2001)),
occ_download(pred('taxonKey', 3119195), pred("year", 2001), pred_lte("month", 8)),
occ_download(pred('taxonKey', 3119195), pred("year", 2004)),
occ_download(pred('taxonKey', 3119195), pred("year", 2005))
)
x
x$reqs
x$add_all()
x
x$jobs()
x
x$remove(x$reqs[[1]])
x
x$reqs[[1]]$run()
x$reqs[[1]]$result
# pre-prepared download request
z <- occ_download_prep(
pred_in("basisOfRecord", c("HUMAN_OBSERVATION","OBSERVATION")),
pred("hasCoordinate", TRUE),
pred("hasGeospatialIssue", FALSE),
pred("year", 1993),
user = "foo", pwd = "bar", email = "foo@bar.com"
)
out <- GbifQueue$new(.list = list(z))
out
out$reqs
}
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.