Files
windmill/benchmarks/lib.ts
T
pyranotaandClaude Opus 4.7 74b662d8de feat(benchmarks): k8s sim mode + util-group dashboard + reliability fixes
Stand up a minikube-backed simulation subsystem for benching Windmill under
realistic multi-node load, with a per-bench measurement pipeline and a
dashboard renderer that consolidates throughput, queue depth, per-node CPU,
PG latency/conns, OOM events, and per-node CPU-util-vs-oversaturation into
one SVG report.

Sim infrastructure (sim/):
- k8s_provisioner: minikube up + heterogeneous node sizing from topology JSON
- helm_deploy: helm install Windmill with smoke.yaml + local.yaml overlays
- image_cache: pre-load required images so bench bringup is offline-safe
- toxiproxy_k8s: per-node toxiproxy DaemonSet for cross-node latency injection
- cpu_sampler_k8s: privileged DS reading per-cgroup cpu.stat at 10Hz, dual-
  writes to stdout AND a host-mounted log file (/var/log/wm-sim-cpu-sampler/
  sampler.tsv) so heavy benches no longer lose early samples to kubelet log
  rotation
- pg_logging: ALTER SYSTEM + SIGHUP to enable verbose PG logging without restart
- pgbadger: post-bench PG log analysis HTML report
- readiness: pre-bench cluster health check (samplers stable ≥30s, workers
  ready, PG responsive, queue empty, **deploy.status rollout-complete**) —
  the rollout-complete check catches mid-rolling-update fires that previously
  starved m04's sampler under cgroup_mutex contention

Per-bench JSONL pollers, started/finalized alongside the bench loop:
- pod_timeline: 1Hz workers-per-node Ready counts (used for the workers panel)
- oom_poller: live OOM event capture (kernel + kubelet evictions + cgroup)
- pg_latency_poller: 4Hz psql \\timing on SELECT 1 vs kubectl-exec roundtrip
- pg_conn_poller: 1Hz pg_stat_activity by state (active/idle/idle_in_xact)
- node_load_poller: 2Hz /proc/loadavg + /proc/stat procs_running per node

Dashboard renderer (sim/render_report.ts + graph.ts):
- Util group: one panel per node with translucent orange oversaturation area
  BEHIND solid blue CPU-util area, 100% reference line, phase-boundary verticals.
  cols:2 grid wraps after 2 panels per row.
- PG node tinted with [PG] flag in legend across the dashboard.
- Phase-boundary verticals + push-window shaded zones layered consistently.
- All x-axes switched from wall-clock HH:MM to relative seconds-from-bench-
  start. Shared origin sourced from meta.json's bench_start_ms so 0s on every
  panel = the same wall-clock moment (previously each chart picked its own
  earliest sample as origin, causing drift between panels).

Oversaturation metric, with explicit fallback:
- Primary: (procs_running - ncpu) / ncpu × 100 — true CPU run-queue pressure.
- Fallback to load1 when procs_running is missing (older reports).
- load1 overcounted previously because it includes uninterruptible D-state
  procs (PG backends in disk I/O, cgroup_mutex waits), inflating "saturation"
  by 5-10x under load.
- Pure helper extracted to sim/util_metrics.ts; 8 unit tests cover the
  procs_running > load1 preference, the clamp-at-zero, invalid-ncpu cases.

Sampler reliability:
- HostPath log file in addition to stdout so the bench's scp-based collector
  bypasses kubelet log rotation entirely.
- main.ts truncates the host log file on every node before pushers start
  (parallel ssh, best-effort) so it doesn't grow unbounded across runs.
- Collector falls back to kubectl-logs when scp fails for any node.

Workloads (workloads/):
- io_4phase: four-phase IO step (idle → 2.5s → 500ms → 150ms jobs)
- io_150ms_flood / io_300ms_flood / io_1s_flood / io_2s_flood: single-phase
  flood configs to isolate the worker-host CFS context-switch storm vs PG
  contention regime
- burst, ops_day, cpu_*, etc. for other scenarios

Tests:
- sim/util_metrics_test.ts — 8 cases for computeOversatPct
- sim/util_panel_snapshot_test.ts — 5 assertions guarding util-panel SVG
  invariants (orange behind blue, 100% ref line, relative-time ticks NOT
  wall-clock, phase-boundary verticals, shared-origin override)

Helm values:
- sim/values/smoke.yaml — bench-tuned: workers w/ no CPU limit & low mem
  request, PG w/ 3-core request + wm-critical priorityClass + oomImmune +
  maxConnections, app w/ wm-critical + oomImmune + no resource limits.
- sim/values/local.example.yaml — template for the gitignored local.yaml
  that carries the EE license key.
- Depends on the wm-critical PriorityClass + oomImmune + maxConnections
  knobs landing in windmill-helm-charts (separate PR).

graph.ts additions:
- areaFills param: ordered list of per-kind translucent area fills drawn
  before lines, used by the util panel for orange-behind-blue layering
- lineColorOverrides: pin per-kind line colors so oversaturation reliably
  renders orange regardless of d3 ordinal-color insertion order
- highlightKindToken: substring-match flag for the PG-node tint in Node CPU
- xRelativeOriginMs: shared bench-start origin for the relative-time x-axis
- DataPointMulti is now exported for downstream tests

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-06-08 11:43:47 +02:00

541 lines
16 KiB
TypeScript

import { sleep } from "https://deno.land/x/sleep@v1.2.1/mod.ts";
import * as windmill from "https://deno.land/x/windmill@v1.174.0/mod.ts";
import * as api from "https://deno.land/x/windmill@v1.174.0/windmill-api/index.ts";
export const VERSION = "v1.708.0";
export async function login(email: string, password: string): Promise<string> {
return await windmill.UserService.login({
requestBody: {
email: email,
password: password,
},
});
}
async function waitForDeployment(workspace: string, hash: string) {
const maxTries = 20;
for (let i = 0; i < maxTries; i++) {
try {
const resp = await windmill.ScriptService.getScriptDeploymentStatus({
workspace,
hash,
});
if (resp.lock !== null) {
return;
}
} catch (err) {}
await sleep(0.5);
}
throw new Error("Script did not deploy in time");
}
async function waitForDedicatedWorker(workspace: string, path: string) {
const query = windmill.JobService.runWaitResultScriptByPath({
workspace,
path,
requestBody: {},
});
let timeout;
const timeoutPromise = new Promise((_, reject) => {
timeout = setTimeout(() => {
reject("Timeout");
}, 15000);
});
await Promise.race([query, timeoutPromise]);
clearTimeout(timeout);
}
export async function createBenchScript(
scriptPattern: string,
workspace: string,
) {
const path = `f/benchmarks/${scriptPattern}`;
const exists = await windmill.ScriptService.existsScriptByPath({
workspace,
path,
});
if (exists) {
await windmill.ScriptService.deleteScriptByPath({
workspace,
path,
});
}
let scriptContent: string;
let language: string;
let schemaProperties = {};
if (scriptPattern === "python") {
scriptContent =
'import os\n\ndef main():\n return os.environ.get("WM_JOB_ID")';
language = "python3";
} else if (scriptPattern === "go") {
scriptContent =
'package inner\nimport "os"\nfunc main() (string, error) { return os.Getenv("WM_JOB_ID"), nil }';
language = "go";
} else if (scriptPattern === "bash") {
scriptContent = "echo $WM_JOB_ID";
language = "bash";
} else if (scriptPattern === "bun") {
scriptContent = 'export function main(){ return Bun.env["WM_JOB_ID"]; }';
language = "bun";
} else if (scriptPattern === "dedicated") {
scriptContent = "export function main(uuid){ return uuid; }";
language = "bun";
schemaProperties = {
uuid: { default: null, description: "", type: "string" },
};
} else if (scriptPattern === "deno") {
scriptContent =
'export function main(){ return Deno.env.get("WM_JOB_ID"); }';
language = "deno";
} else if (scriptPattern === "deno_sleep_150") {
// Sleep-based deno script — every job awaits 150ms. Gives the bench a
// realistic non-zero per-job duration so headroom is visible (queue can
// actually drain, throughput reflects scheduling, not script cold-start).
scriptContent =
'export async function main(){ await new Promise(r => setTimeout(r, 150)); return Deno.env.get("WM_JOB_ID"); }';
language = "deno";
} else if (scriptPattern === "random") {
// Synthetic parametric workload: each job carries its own (ram_mb,
// duration_ms, mode) tuple sampled by the bench client from a workload
// config (benchmarks/workloads/*.json). RAM is allocated AND touched
// every 4KB so the kernel actually maps pages (Uint8Array(N) alone is
// lazy). `sleep` mode is IO-bound; `busy` mode is CPU-bound.
scriptContent =
'export async function main(ram_mb: number, duration_ms: number, mode: "sleep" | "busy") {\n' +
' const buf = new Uint8Array(ram_mb * 1024 * 1024);\n' +
' for (let i = 0; i < buf.length; i += 4096) buf[i] = (Math.random() * 256) | 0;\n' +
' if (mode === "sleep") {\n' +
' await new Promise(r => setTimeout(r, duration_ms));\n' +
' } else {\n' +
' const end = performance.now() + duration_ms;\n' +
' while (performance.now() < end) { /* busy */ }\n' +
' }\n' +
' return { ram_mb, duration_ms, mode };\n' +
'}';
language = "deno";
schemaProperties = {
ram_mb: { type: "number", description: "MB of RAM to allocate + touch" },
duration_ms: { type: "number", description: "Sleep / busy-loop duration" },
mode: { type: "string", enum: ["sleep", "busy"], description: "IO-bound or CPU-bound" },
};
} else if (scriptPattern === "nativets") {
scriptContent =
'//native\nexport async function main(){ return (await fetch(BASE_URL + "/api/version")).text() }';
language = "bunnative";
} else if (scriptPattern === "dedicated_nativets") {
scriptContent = "//native\nexport function main(){ return 42; }";
language = "bunnative";
} else {
throw new Error(
"Could not create script for script pattern " + scriptPattern,
);
}
const hash = await windmill.ScriptService.createScript({
workspace,
requestBody: {
path,
content: scriptContent,
summary: scriptPattern + " benchmark",
description: "",
language: language as api.NewScript.language,
dedicated_worker:
scriptPattern === "dedicated" || scriptPattern === "dedicated_nativets",
schema: {
$schema: "https://json-schema.org/draft/2020-12/schema",
properties: schemaProperties,
required: [],
type: "object",
},
},
});
await waitForDeployment(workspace, hash);
console.log("Created benchmark script at path", path);
if (scriptPattern === "dedicated" || scriptPattern === "dedicated_nativets") {
await waitForDedicatedWorker(workspace, path);
}
}
// WAC v2 benchmark script content patterns
const WAC_SCRIPTS: Record<string, string> = {
wac_seq_2: [
'import { task, workflow } from "windmill-client";',
"const step_a = task(async () => { return 1; });",
"const step_b = task(async () => { return 2; });",
"export const main = workflow(async () => {",
" const a = await step_a();",
" const b = await step_b();",
" return { a, b };",
"});",
].join("\n"),
wac_par_2: [
'import { task, workflow } from "windmill-client";',
"const step_a = task(async () => { return 1; });",
"const step_b = task(async () => { return 2; });",
"export const main = workflow(async () => {",
" const [a, b] = await Promise.all([step_a(), step_b()]);",
" return { a, b };",
"});",
].join("\n"),
wac_seq_3: [
'import { task, workflow } from "windmill-client";',
"const step_a = task(async () => { return 1; });",
"const step_b = task(async () => { return 2; });",
"const step_c = task(async () => { return 3; });",
"export const main = workflow(async () => {",
" const a = await step_a();",
" const b = await step_b();",
" const c = await step_c();",
" return { a, b, c };",
"});",
].join("\n"),
wac_inline_2: [
'import { step, workflow } from "windmill-client";',
"export const main = workflow(async () => {",
' const a = await step("a", () => 1);',
' const b = await step("b", () => 2);',
" return { a, b };",
"});",
].join("\n"),
};
export const WAC_KINDS = Object.keys(WAC_SCRIPTS);
// Number of child jobs created per workflow instance (used to compute throughput)
// For task(): each task creates a child job. For step(): no child job.
// Total completed jobs per workflow = nSteps + 1 (children + parent)
export const STEPS_PER_WORKFLOW: Record<string, number> = {
wac_seq_2: 2,
wac_par_2: 2,
wac_seq_3: 3,
wac_inline_2: 0, // inline steps don't create child jobs
flow_seq_2_bun: 2,
flow_par_2_bun: 2,
flow_seq_3_bun: 3,
};
export async function createWacBenchScript(
wacPattern: string,
workspace: string,
) {
const scriptContent = WAC_SCRIPTS[wacPattern];
if (!scriptContent) {
throw new Error("Unknown WAC pattern: " + wacPattern);
}
const path = `f/benchmarks/${wacPattern}`;
const exists = await windmill.ScriptService.existsScriptByPath({
workspace,
path,
});
if (exists) {
await windmill.ScriptService.deleteScriptByPath({
workspace,
path,
});
}
const hash = await windmill.ScriptService.createScript({
workspace,
requestBody: {
path,
content: scriptContent,
summary: wacPattern + " WAC v2 benchmark",
description: "",
language: "bun" as api.NewScript.language,
schema: {
$schema: "https://json-schema.org/draft/2020-12/schema",
properties: {},
required: [],
type: "object",
},
},
});
await waitForDeployment(workspace, hash);
console.log("Created WAC v2 benchmark script at path", path);
}
export async function loadJsonConfig<T>(configPath: string): Promise<T> {
if (configPath.startsWith("http")) {
const response = await fetch(configPath);
return await response.json();
} else {
return JSON.parse(await Deno.readTextFile(configPath));
}
}
export const getFlowPayload = (flowPattern: string): api.FlowPreview => {
if (flowPattern == "branchone") {
return {
path: "branchone",
args: {},
value: {
modules: [
{
id: "a",
value: {
input_transforms: {},
language: api.RawScript.language.DENO,
type: "rawscript",
content:
'export function main(){ return Deno.env.get("WM_FLOW_JOB_ID"); }',
},
},
{
id: "b",
value: {
type: "branchone",
branches: [],
default: [
{
id: "c",
value: {
input_transforms: {
x: {
type: "javascript",
expr: "results.a",
},
},
language: api.RawScript.language.DENO,
type: "rawscript",
content: "export function main(x: string){ return x; }",
},
},
],
},
},
],
},
};
} else if (flowPattern == "branchallparrallel") {
return {
path: "branchall",
args: {},
value: {
modules: [
{
id: "a",
value: {
input_transforms: {},
language: api.RawScript.language.DENO,
type: "rawscript",
content:
'export function main(){ return Deno.env.get("WM_FLOW_JOB_ID"); }',
},
},
{
id: "b",
value: {
type: "branchall",
parallel: true,
branches: [
{
modules: [
{
id: "c",
value: {
input_transforms: {
x: {
type: "javascript",
expr: "results.a",
},
},
language: api.RawScript.language.DENO,
type: "rawscript",
content: "export function main(x: string){ return x; }",
},
},
],
},
{
modules: [
{
id: "d",
value: {
input_transforms: {
x: {
type: "javascript",
expr: "results.a",
},
},
language: api.RawScript.language.DENO,
type: "rawscript",
content: "export function main(x: string){ return x; }",
},
},
],
},
],
},
},
],
},
};
} else if (flowPattern == "bigscriptinflow") {
return {
path: "bigscriptinflow",
args: {},
value: {
modules: [
{
value: {
input_transforms: {},
language: api.RawScript.language.BASH,
type: "rawscript",
content:
"# let's bloat that bash script, 3.. 2.. 1.. BOOM\n".repeat(
100,
) +
`if [[ -z $\{WM_FLOW_JOB_ID+x\} ]]; then\necho "not set"\nelif [[ -z "$WM_FLOW_JOB_ID" ]]; then\necho "empty"\nelse\necho "$WM_FLOW_JOB_ID"\nfi`,
},
},
],
},
};
} else if (flowPattern == "flow_seq_2_bun") {
return {
path: "flow_seq_2_bun",
args: {},
value: {
modules: [
{
id: "a",
value: {
input_transforms: {},
language: "bun" as api.RawScript.language,
type: "rawscript",
content: "export function main() { return 1; }",
},
},
{
id: "b",
value: {
input_transforms: {},
language: "bun" as api.RawScript.language,
type: "rawscript",
content: "export function main() { return 2; }",
},
},
],
},
};
} else if (flowPattern == "flow_par_2_bun") {
return {
path: "flow_par_2_bun",
args: {},
value: {
modules: [
{
id: "a",
value: {
type: "branchall",
parallel: true,
branches: [
{
modules: [
{
id: "b",
value: {
input_transforms: {},
language: "bun" as api.RawScript.language,
type: "rawscript",
content: "export function main() { return 1; }",
},
},
],
},
{
modules: [
{
id: "c",
value: {
input_transforms: {},
language: "bun" as api.RawScript.language,
type: "rawscript",
content: "export function main() { return 2; }",
},
},
],
},
],
},
},
],
},
};
} else if (flowPattern == "flow_seq_3_bun") {
return {
path: "flow_seq_3_bun",
args: {},
value: {
modules: [
{
id: "a",
value: {
input_transforms: {},
language: "bun" as api.RawScript.language,
type: "rawscript",
content: "export function main() { return 1; }",
},
},
{
id: "b",
value: {
input_transforms: {},
language: "bun" as api.RawScript.language,
type: "rawscript",
content: "export function main() { return 2; }",
},
},
{
id: "c",
value: {
input_transforms: {},
language: "bun" as api.RawScript.language,
type: "rawscript",
content: "export function main() { return 3; }",
},
},
],
},
};
} else {
return {
path: "2steps",
args: {},
value: {
modules: [
{
id: "a",
value: {
input_transforms: {},
language: api.RawScript.language.DENO,
type: "rawscript",
content:
'export function main(){ return Deno.env.get("WM_FLOW_JOB_ID"); }',
},
},
{
id: "b",
value: {
type: "identity",
},
},
],
},
};
}
};