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qs2. When no public base image matches your exact
R version (only R 4.5.3 and 4.6.1 are published), staRburst builds one
from inst/templates/Dockerfile.base. Since RcppParallel
6.2.0 (2026-07-30) requires cmake at configure time, that
build failed to install qs2 — but
install.packages() only warns, so the image built
“successfully” and workers later failed to deserialize tasks. The
template now installs cmake and stops the build if any
worker package fails to install (#55, #56).qs2 is
installed but cannot be loaded (e.g. a stale binary built against an
older RcppParallel), instead of failing with misleading name-mismatch
errors.max_hourly_cost guard now works on the EC2
backend (the default). Previously estimate_cost()
returned per_hour for Fargate but
total_per_hour for EC2, and the guard read
per_hour — which is NULL on EC2 — so the cost
ceiling was silently never enforced on the default backend.
estimate_cost() now returns a normalized
hourly_rate for every backend, and the guard, cost display,
and starburst_map()/starburst_cluster() all
use it.cost_alert_threshold is now enforced —
it warns when a plan’s estimated hourly rate exceeds it (previously it
was stored but never read).starburst_config(auto_cleanup_s3 = …) now
actually controls S3 cleanup. The runtime read a different key
(getOption("starburst.cleanup_s3")) and ignored the stored
setting; cleanup now resolves option → auto_cleanup_s3
config → default TRUE.starburst_map()/starburst_cluster()
cost estimates match the backend used — they forward
launch_type/instance_type/use_spot,
so an EC2 job no longer reports a Fargate price.starburst_setup() now provisions the default
EC2 capacity provider (for c7g.xlarge) so the
default EC2 backend works out of the box — previously the first
starburst_map()/plan(starburst) run failed
because no capacity provider existed. It is created at
DesiredCapacity = 0 (no billable instances launch during
setup). Pass setup_ec2 = FALSE to skip (Fargate-only
users). (#37)instance_type (e.g. c8a.xlarge) previously
failed with an opaque “AutoScalingGroup not found” because only the
default was provisioned. Now the capacity provider/ASG is created on
demand at first launch (a one-time ~1–2 min step; no instances launched
by provisioning), or on failure you get the exact
starburst_setup_ec2(instance_types = "…") command to
run.session$collect() now returns an entry
for every terminal task, including failures. A failed task
comes back as a structured failure
(list(error = TRUE, message = …, task_id = …)) alongside
successful results, instead of being silently omitted — matching the
documented contract.session$cleanup(): by default it stops
workers and marks the session terminated but preserves S3
objects; pass force = TRUE to also delete them.
(Behavior unchanged; the docs were wrong and are now correct.)platform argument from
starburst_map() and
starburst_cluster(). It was ignored (architecture
is inferred from instance_type: Graviton *g.*
→ ARM64, else x86_64), and its "X86_64" default even
contradicted the ARM64 c7g.xlarge default. Drop it from
calls; the backend picks the architecture from
instance_type. (platform remains on
starburst_estimate(), where it is functional.)starburst_config(max_cost_per_job=) to
max_hourly_cost. The limit was always enforced as
an hourly rate (USD/hour), not a total-job cap; the new name
matches the behavior. Update any
starburst_config(max_cost_per_job = ...) calls to
max_hourly_cost = ....starburst_map() and
starburst_cluster() now accept launch_type,
instance_type, and use_spot and
forward them to the backend. Previously these functions had no backend
arguments, so a call like
starburst_map(x, f, launch_type = "FARGATE") silently
passed launch_type to the mapped function .f
(typically an “unused argument” error) instead of switching the backend
— contradicting the 0.3.7 migration note. Backend selection now works
uniformly across plan(starburst),
starburst_map(), starburst_cluster(), and
starburst_session().detached = TRUE argument;
S3-read examples used base read.csv()/
readRDS(url()) which cannot read s3://; and
the API rate-limit example aggregated to 10× its stated global limit
across workers.use_public_base = TRUE failed the multi-arch environment
build with “no match for platform in manifest” for arm64. The
build-base-images workflow now builds both architectures
(matching the env build), so the public base path works. (#39)starburst_map(); a grouped reference index and an
architecture diagram were added; and starburst_config()
keys are now catalogued.future_map(1:10000, …) and hand-written speedup claims) now
link to the canonical, measured example articles and the Workload Shapes
/ Performance guides. The doc-consistency guard
(tools/check-docs.R) now also flags naive
future_map()/future_lapply() big-count calls,
not just starburst_map().ROADMAP.md (a pre-1.0,
Fargate-first implementation plan that also carried a stale “MIT”
license note); the README Roadmap section is the single source of
truth.timeout parameter from the paws client configuration that
could cause workers to fail on startup.ensure_environment()
now walks up the directory tree to find the package-root
renv.lock when invoked from a subdirectory (e.g. during
tests), and the environment image hash is computed consistently between
build and lookup, so cached worker images are reused correctly.safe_system() usage and resolved
qs2 serialization edge cases surfaced by integration
tests.\donttest{} examples are guarded with
starburst_is_configured() so they are safe to run without
AWS credentials.inst/doc/ and assorted R
CMD check / CRAN incoming-feasibility fixes. Package accepted on
CRAN.launch_type changed from FARGATE to
EC2, with spot instances enabled by
default (use_spot = TRUE,
instance_type = "c7g.xlarge"). EC2 avoids Fargate cold
starts, is 50–90% cheaper with spot, and supports warm pools and a wider
range of instance types. Fargate remains fully supported — pass
launch_type = "FARGATE" to
plan(starburst, ...), starburst_map(),
starburst_cluster(), or starburst_session() to
keep the previous behavior.launch_type = "FARGATE" to your
plan()/starburst_*() call. No other changes
are required; the task API is unchanged across backends.Major milestone: Complete AWS integration testing infrastructure and documentation site launch.
run-aws-tests.sh)readLines() stubs in environment tests
(#6514229)get_starburst_config() stub in Docker
tests (#dad7124)Full documentation now available at starburst.ing
qs to qs2
packageMinor version bump with critical bug fixes for Docker caching and serialization consistency.
FUN.VALUE parameters to all
vapply() callsQuick patch release addressing R CMD check warnings about unsafe vapply usage.
Goal: Achieve zero linting warnings while maintaining idiomatic R code style.
collapse= →
collapse =return() statements (clarity over
implicit)Lint Progression: - v0.3.0: 325 total lints - v0.3.1: 198 lints (-39%) - v0.3.2: 113 lints in R/ code (-65% from v0.3.1) - v0.3.3: 0 lints in R/ code ✅ (-100%)
Philosophy: This release establishes lintr configuration that prioritizes: 1. Code clarity over terseness 2. Explicit over implicit 3. Meaningful names over short names 4. R idioms over arbitrary style rules
The package now has zero linting warnings while maintaining: - Explicit return statements (R best practice) - Descriptive variable names (self-documenting code) - Standard R indentation patterns - Internal function patterns recognized by R
Result: Clean, idiomatic R code with zero false-positive lint warnings.
Goal: Achieve Go-level code quality standards for R - clean, consistent, idiomatic.
cat_warning → cat_warn typoLint Reduction Progress: - v0.3.0: 325 lints - v0.3.1: 198 lints (-39%) - v0.3.2: 195 lints (-40% total, -2% this release)
R/ Package Code Only (excluding examples/vignettes): - 113 lints (down from ~200+) - Breakdown: - 46 indentation (cosmetic, consistent style) - 34 object_usage (mostly false positives - internal functions) - 27 return (style preference - explicit vs implicit returns) - 3 object_length (descriptive variable names) - 2 line_length (complex expressions) - 1 infix_spaces (formatting)
The remaining lints are: 1. Style preferences (indentation, returns) - subjective, not bugs 2. False positives (object_usage) - lintr doesn’t recognize internal functions 3. Descriptive names (object_length) - clarity over brevity
Code quality achieved: The package now meets high standards for production R code. Remaining lints are acceptable trade-offs for code clarity and maintainability.
For absolute zero-lint perfection (0.3.3 if desired): - Manual indentation review (46 instances) - Add lintr suppressions for false positives - Shorten some variable names
Complete: All 3 issues from v0.3.1 milestone (#18, #19, #20)
sapply() with vapply() for
type safety (10 instances in R/)Acceptable cosmetic issues for future polish: - 85 indentation inconsistencies - 49 unused variable warnings - 29 return() style preferences - 15 seq_len() suggestions (in examples/vignettes) - 20 other minor style issues
staRburst is now enterprise-grade and ready for production deployment! This release focuses on security hardening, operational excellence, and comprehensive documentation.
session$cleanup() now fully implemented
force = TRUE optionstarburst_session()session$submit(expr)starburst_session_attach(session_id)session$status()system() calls
safe_system() wrapper using
processx::run()plan() time with helpful error
messagesps aux outputwith_s3_retry(),
with_ecs_retry(), with_ecr_retry()starburst_error() helper for rich error
messagesquota_error(),
permission_error(), task_failure_error()starburst_session() - Create detached session for
long-running jobsstarburst_session_attach() - Reattach to existing
sessionstarburst_session_list() - List all active
sessionssession$submit() - Submit tasks to detached
sessionsession$status() - Check session progress and task
statessession$collect() - Retrieve completed resultssession$cleanup() - Stop workers and clean up
resourcesR/aws-retry.R - Centralized retry logic (167
lines)R/errors.R - Rich error message helpers (286
lines)R/session-api.R - Detached session API (600+
lines)R/session-backend.R - Session backend initialization
(332 lines)R/session-state.R - S3 state management with atomic
updates (487 lines)vignettes/troubleshooting.Rmd - 15+ common issues
(~15KB)vignettes/security.Rmd - 10+ security topics
(~17KB)CLAUDE.md - Comprehensive AI assistant development
guide.Rbuildignore updated to exclude development files.Rd files properly namespaceddocs/)session$cleanup() signature changed: now accepts
stop_workers and force parametersforce=TRUE to delete)✅ Command injection prevention ✅ Worker cost controls (max 500) ✅ Complete resource cleanup ✅ Race condition prevention ✅ Transient failure handling ✅ Comprehensive documentation ✅ Professional error messages ✅ 179 passing tests
This release makes staRburst suitable for enterprise production deployments.
sapply() with vapply() (30+
instances)1:length() with seq_len() (14+
instances)globals::Globals objectsbuild_base_image() - Build base Docker image with
common dependenciesensure_base_image() - Check for/create base image as
neededget_base_image_uri() - Get ECR URI for base imageinst/templates/Dockerfile.base for base image
buildsinst/templates/Dockerfile.template (42 → 19
lines)base-{R.VERSION}These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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