starburst_map: Map Function Over Data Using AWS Fargate

In starburst: Seamless AWS Cloud Bursting for Parallel R Workloads

Map Function Over Data Using AWS Fargate

Description

Parallel map function that executes on AWS Fargate using the Future backend

Usage

starburst_map(
  .x,
  .f,
  workers = 10,
  cpu = 4,
  memory = "8GB",
  platform = "X86_64",
  region = NULL,
  timeout = 3600,
  .progress = TRUE,
  ...
)

Arguments

.x	A vector or list to iterate over
.f	A function to apply to each element
workers	Number of parallel workers (default: 10)
cpu	CPU units per worker (1, 2, 4, 8, or 16)
memory	Memory per worker (e.g., 8GB)
platform	CPU architecture (X86_64 or ARM64)
region	AWS region
timeout	Maximum runtime in seconds per task
.progress	Show progress bar (default: TRUE)
...	Additional arguments passed to .f

Value

A list of results, one per element of .x

Examples

if (starburst_is_configured()) {
  # Simple parallel computation
  results <- starburst_map(1:100, function(x) x^2, workers = 10)

  # With custom configuration
  results <- starburst_map(
    data_list,
    expensive_function,
    workers = 50,
    cpu = 4,
    memory = "8GB"
  )
}

starburst documentation built on March 19, 2026, 5:08 p.m.