plan.starburst: staRburst Future Backend

In starburst: Seamless AWS Cloud Bursting for Parallel R Workloads

staRburst Future Backend

Description

A future backend for running parallel R workloads on AWS (EC2 or Fargate)

Usage

## S3 method for class 'starburst'
plan(
  strategy,
  workers = 10,
  cpu = 4,
  memory = "8GB",
  region = NULL,
  timeout = 3600,
  auto_quota_request = interactive(),
  launch_type = "EC2",
  instance_type = "c7g.xlarge",
  use_spot = TRUE,
  warm_pool_timeout = 3600,
  detached = FALSE,
  ...
)

Arguments

strategy	The starburst strategy marker (ignored, for S3 dispatch)
workers	Number of parallel workers
cpu	vCPUs per worker (1, 2, 4, 8, or 16)
memory	Memory per worker (supports GB notation, e.g., "8GB")
region	AWS region (default: from config or "us-east-1")
timeout	Maximum runtime in seconds (default: 3600)
auto_quota_request	Automatically request quota increases (default: interactive())
launch_type	Launch type: EC2 or FARGATE (default: EC2)
instance_type	EC2 instance type when using EC2 launch type (default: c7g.xlarge)
use_spot	Use EC2 Spot instances for cost savings (default: TRUE)
warm_pool_timeout	Timeout for warm pool in seconds (default: 3600)
detached	Use detached session mode (deprecated, use starburst_session instead)
...	Additional arguments passed to future backend

Value

A future plan object

Examples

if (starburst_is_configured()) {
  future::plan(starburst, workers = 50)
  results <- future.apply::future_lapply(1:100, function(i) i^2)
}

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