Parallel Batch Fetching

Fetches data from multiple BrAPI endpoints or IDs in parallel using the furrr package. Useful for retrieving data across many studies, trials, or germplasm records simultaneously.

Usage

brapi_fetch_parallel(con, .fn, ids, .workers = 4L, ...)

Arguments

con

A brapi_connection() object.

.fn

A brapiR2 function to call for each item (e.g. brapi_study_data).

ids

Character vector. A set of IDs to iterate over.

.workers

Integer. Number of parallel workers. Default 4.

...

Additional arguments passed to .fn.

Value

A tibble with results from all IDs combined.

Examples

# \donttest{
con <- brapi_connection("https://test-server.brapi.org")
study_ids <- c("study1", "study2", "study3")
all_data <- brapi_fetch_parallel(con, brapi_study_data, study_ids)
#> ℹ Fetching 3 items across 4 workers...
#> ✔ Fetched 6 rows from 3 sources.
# }