Files
windmill/backend/tests/asset_trigger_dispatch.rs
Ruben Fiszel 2714210d7c fix: expand AZURE_DEVOPS_TOKEN placeholder in backend git probes (#10677)
* fix: expand AZURE_DEVOPS_TOKEN placeholder in backend git probes

* fix: require azure token placeholder to be http userinfo

* fix: scrub probe credentials from git stderr and harden token mint

* fix: confine azure token placeholder to azure devops hosts

* fix: require https and authorize azure reference at write time

* fix: require workspace admin to configure an azure token reference

* fix: name the azure reference in the admin-required error
2026-08-13 11:06:55 +00:00

1177 lines
43 KiB
Rust

//! End-to-end test for asset-trigger dispatch.
//!
//! Runs a real Bash producer through a worker, lets the
//! `result_processor` hook fire `dispatch_asset_triggers`, and then makes
//! several follow-up calls into `dispatch_asset_triggers` against the same
//! seeded graph to cover the eligibility branches (self-loop, skip arg,
//! cycle guard, flow subscriber, ineligible job kinds). Direct calls share
//! the same workspace so we exercise the real query paths against real
//! `asset` / `script_trigger` rows produced by deploy-equivalent seeding.
use serde_json::json;
use sqlx::{Pool, Postgres};
use uuid::Uuid;
use windmill_common::jobs::{JobKind, JobPayload};
use windmill_common::scripts::{ScriptHash, ScriptLang};
use windmill_queue::asset_dispatch::dispatch_asset_triggers;
use windmill_queue::cascade::reap_stale_join_slots;
use windmill_queue::MiniCompletedJob;
use windmill_test_utils::{initialize_tracing, ApiServer, RunJob};
const WS: &str = "test-workspace";
const PRODUCER: &str = "u/test-user/producer";
const SUB_S3: &str = "u/test-user/sub-s3";
const SUB_RES: &str = "u/test-user/sub-res";
const SUB_FLOW: &str = "u/test-user/sub-flow";
// ── Seeding helpers ───────────────────────────────────────────────────────
async fn seed_script(
db: &Pool<Postgres>,
path: &str,
content: &str,
language: &str,
) -> anyhow::Result<i64> {
// Hash needs to be unique per (workspace, hash). Derive from path AND
// content: the worker's script cache (`cache::script::fetch`) is keyed
// by hash alone and is process-global, so tests running in the same
// process that seed the same path with different content would poison
// each other's cache if the hash came from the path only.
let mut h = 0i64;
for b in path.bytes().chain(content.bytes()) {
h = h.wrapping_mul(31).wrapping_add(b as i64);
}
sqlx::query(
r#"INSERT INTO script (workspace_id, hash, path, summary, description, content,
created_by, language, tag, lock)
VALUES ($1, $2, $3, '', '', $4, 'test-user', $5::script_lang, 'deno', '')
ON CONFLICT DO NOTHING"#,
)
.bind(WS)
.bind(h)
.bind(path)
.bind(content)
.bind(language)
.execute(db)
.await?;
// These tests use #[sqlx::test] isolated DBs that share one workspace id and
// reuse script paths, while the same path is seeded with different content
// (hence different hashes) across tests. The process-global deployed-script
// caches are keyed by (workspace, path)/(workspace, hash), so a concurrent
// test resolves a path to a hash that lives in another test's DB and the
// dispatch 404s. Disable them so every resolution reads the test's own DB.
windmill_common::DEPLOYED_SCRIPT_CACHE_DISABLED
.store(true, std::sync::atomic::Ordering::Relaxed);
Ok(h)
}
async fn seed_asset_write(
db: &Pool<Postgres>,
producer_path: &str,
kind: &str,
asset_path: &str,
) -> anyhow::Result<()> {
sqlx::query(
r#"INSERT INTO asset (workspace_id, path, kind, usage_access_type, usage_path, usage_kind)
VALUES ($1, $2, $3::asset_kind, 'w'::asset_access_type, $4, 'script'::asset_usage_kind)
ON CONFLICT DO NOTHING"#,
)
.bind(WS)
.bind(asset_path)
.bind(kind)
.bind(producer_path)
.execute(db)
.await?;
// These tests use #[sqlx::test] isolated DBs that all share one workspace
// id, so the process-global producer cache (keyed by workspace) would
// clobber across DBs under concurrent test threads. Disable it so every
// dispatch reads the test's own DB. (Production invalidates via the
// notify_event poller instead.)
windmill_queue::asset_dispatch::ASSET_PRODUCER_CACHE_DISABLED
.store(true, std::sync::atomic::Ordering::Relaxed);
Ok(())
}
async fn seed_subscription(
db: &Pool<Postgres>,
subscriber_path: &str,
subscriber_kind: &str,
trigger_ref: &str,
) -> anyhow::Result<()> {
sqlx::query(
r#"INSERT INTO script_trigger
(workspace_id, runnable_kind, runnable_path, trigger_kind, trigger_ref)
VALUES ($1, $2::asset_usage_kind, $3, 'asset'::script_trigger_kind, $4)"#,
)
.bind(WS)
.bind(subscriber_kind)
.bind(subscriber_path)
.bind(trigger_ref)
.execute(db)
.await?;
Ok(())
}
/// Insert a synthetic producer `v2_job` row used by the direct
/// `dispatch_asset_triggers` calls in the edge-case section. `args` lets the
/// test inject `_wmill_skip_asset_dispatch` or `trigger.chain` so the
/// dispatcher's arg-driven branches are exercised against real rows.
async fn seed_producer_job(db: &Pool<Postgres>, args: serde_json::Value) -> anyhow::Result<Uuid> {
let id = Uuid::new_v4();
sqlx::query!(
r#"INSERT INTO v2_job (id, workspace_id, kind, runnable_path, args, created_by,
permissioned_as, permissioned_as_email, tag, script_lang)
VALUES ($1, $2, 'script'::job_kind, $3, $4, 'test-user',
'u/test-user', 'test@windmill.dev', 'deno', 'bash'::script_lang)"#,
id,
WS,
PRODUCER,
args,
)
.execute(db)
.await?;
Ok(id)
}
/// Like `seed_producer_job` but for an arbitrary runnable path (the
/// AND-join test needs two distinct producers).
async fn seed_producer_job_path(
db: &Pool<Postgres>,
path: &str,
args: serde_json::Value,
) -> anyhow::Result<Uuid> {
let id = Uuid::new_v4();
sqlx::query!(
r#"INSERT INTO v2_job (id, workspace_id, kind, runnable_path, args, created_by,
permissioned_as, permissioned_as_email, tag, script_lang)
VALUES ($1, $2, 'script'::job_kind, $3, $4, 'test-user',
'u/test-user', 'test@windmill.dev', 'deno', 'bash'::script_lang)"#,
id,
WS,
path,
args,
)
.execute(db)
.await?;
Ok(id)
}
/// Seed an asset subscription flagged as an AND join (`// trigger all`).
async fn seed_subscription_and(
db: &Pool<Postgres>,
subscriber_path: &str,
trigger_ref: &str,
) -> anyhow::Result<()> {
sqlx::query(
r#"INSERT INTO script_trigger
(workspace_id, runnable_kind, runnable_path, trigger_kind, trigger_ref, join_all)
VALUES ($1, 'script'::asset_usage_kind, $2, 'asset'::script_trigger_kind, $3, TRUE)"#,
)
.bind(WS)
.bind(subscriber_path)
.bind(trigger_ref)
.execute(db)
.await?;
Ok(())
}
/// Seed an asset subscription with an opt-in debounce window (seconds).
async fn seed_subscription_debounced(
db: &Pool<Postgres>,
subscriber_path: &str,
trigger_ref: &str,
debounce_s: i32,
) -> anyhow::Result<()> {
sqlx::query(
r#"INSERT INTO script_trigger
(workspace_id, runnable_kind, runnable_path, trigger_kind, trigger_ref, debounce_s)
VALUES ($1, 'script'::asset_usage_kind, $2, 'asset'::script_trigger_kind, $3, $4)"#,
)
.bind(WS)
.bind(subscriber_path)
.bind(trigger_ref)
.bind(debounce_s)
.execute(db)
.await?;
Ok(())
}
/// Seed an asset subscription with a `// retry <n> [<delay>]` policy.
async fn seed_subscription_with_retry(
db: &Pool<Postgres>,
subscriber_path: &str,
trigger_ref: &str,
retry_count: i16,
retry_delay_s: i32,
) -> anyhow::Result<()> {
sqlx::query(
r#"INSERT INTO script_trigger
(workspace_id, runnable_kind, runnable_path, trigger_kind, trigger_ref,
retry_count, retry_delay_s)
VALUES ($1, 'script'::asset_usage_kind, $2, 'asset'::script_trigger_kind, $3, $4, $5)"#,
)
.bind(WS)
.bind(subscriber_path)
.bind(trigger_ref)
.bind(retry_count)
.bind(retry_delay_s)
.execute(db)
.await?;
Ok(())
}
fn make_mini(id: Uuid, runnable_path: &str) -> MiniCompletedJob {
MiniCompletedJob {
id,
workspace_id: WS.to_string(),
runnable_id: Some(ScriptHash(1)),
scheduled_for: chrono::Utc::now(),
parent_job: None,
flow_innermost_root_job: None,
runnable_path: Some(runnable_path.to_string()),
kind: JobKind::Script,
started_at: Some(chrono::Utc::now()),
permissioned_as: "u/test-user".to_string(),
created_by: "test-user".to_string(),
script_lang: Some(ScriptLang::Bash),
permissioned_as_email: "test@windmill.dev".to_string(),
flow_step_id: None,
trigger_kind: None,
trigger: None,
priority: None,
concurrent_limit: None,
tag: "deno".to_string(),
cache_ttl: None,
cache_ignore_s3_path: None,
runnable_settings_handle: None,
build_binary_only: false,
}
}
/// Read `v2_job` rows that were created by asset dispatch (filtered by
/// `trigger_kind = 'asset'` so dep-jobs / other infra rows don't leak in).
async fn fetch_dispatched(
db: &Pool<Postgres>,
) -> anyhow::Result<Vec<(String, Option<String>, Option<serde_json::Value>)>> {
let rows = sqlx::query!(
r#"SELECT runnable_path AS "runnable_path!", trigger,
args AS "args: sqlx::types::Json<serde_json::Value>"
FROM v2_job
WHERE workspace_id = $1 AND trigger_kind = 'asset'
ORDER BY runnable_path"#,
WS,
)
.fetch_all(db)
.await?;
Ok(rows
.into_iter()
.map(|r| (r.runnable_path, r.trigger, r.args.map(|j| j.0)))
.collect())
}
async fn clear_dispatched(db: &Pool<Postgres>) -> anyhow::Result<()> {
sqlx::query!(
"DELETE FROM v2_job WHERE workspace_id = $1 AND trigger_kind = 'asset'",
WS,
)
.execute(db)
.await?;
Ok(())
}
// ── The test ─────────────────────────────────────────────────────────────
/// One end-to-end test that:
/// 1. seeds a producer that writes two asset kinds (s3 + resource) with three
/// subscribers (two script subs + one flow sub that must be skipped),
/// 2. runs the producer through a real worker and asserts the
/// `result_processor` hook fired and pushed the right jobs with the
/// right trigger metadata,
/// 3. then drives `dispatch_asset_triggers` directly against the same
/// seeded graph to cover the arg-driven and eligibility branches that
/// can't be reached by varying the producer's runtime args alone:
/// - skip arg suppresses dispatch
/// - a subscriber already in the lineage is skipped (cycle guard)
/// - the lineage chain accumulates the producer path each hop
/// - self-loop subscriber is filtered
/// - producer with parent_job is ineligible
/// - producer with `Flow` kind is ineligible
#[sqlx::test(fixtures("base"))]
async fn end_to_end_asset_dispatch(db: Pool<Postgres>) -> anyhow::Result<()> {
initialize_tracing().await;
let server = ApiServer::start(db.clone()).await?;
let port = server.addr.port();
// ── Seed the graph ──────────────────────────────────────────────────
let producer_hash = seed_script(&db, PRODUCER, "echo producer", "bash").await?;
seed_script(&db, SUB_S3, "echo s3-subscriber", "bash").await?;
seed_script(&db, SUB_RES, "echo res-subscriber", "bash").await?;
// Self-loop subscriber: same path as producer → must be filtered.
seed_subscription(&db, PRODUCER, "script", "s3://f/blob").await?;
// Flow subscriber on the same asset → V1 hard-filters runnable_kind='flow'.
seed_subscription(&db, SUB_FLOW, "flow", "s3://f/blob").await?;
// Legit subscribers.
seed_subscription(&db, SUB_S3, "script", "s3://f/blob").await?;
seed_subscription(&db, SUB_RES, "script", "$res:f/cfg").await?;
// Two writes from one producer, distinct kinds.
seed_asset_write(&db, PRODUCER, "s3object", "f/blob").await?;
seed_asset_write(&db, PRODUCER, "resource", "f/cfg").await?;
// ── 1. Real worker run: the hook must fire after producer success ───
let job = JobPayload::ScriptHash {
path: PRODUCER.to_string(),
hash: ScriptHash(producer_hash),
cache_ttl: None,
cache_ignore_s3_path: None,
dedicated_worker: None,
language: ScriptLang::Bash,
priority: None,
apply_preprocessor: false,
concurrency_settings: windmill_common::runnable_settings::ConcurrencySettings::default(),
debouncing_settings: windmill_common::runnable_settings::DebouncingSettings::default(),
labels: None,
};
let completed = RunJob::from(job).run_until_complete(&db, false, port).await;
assert!(
completed.success,
"producer must succeed for dispatch to fire"
);
let mut rows = fetch_dispatched(&db).await?;
rows.sort_by(|a, b| a.0.cmp(&b.0));
assert_eq!(
rows.len(),
2,
"expected dispatch to the two legit script subscribers (flow sub filtered, self-loop filtered)"
);
let by_path: std::collections::HashMap<_, _> = rows.iter().map(|r| (r.0.as_str(), r)).collect();
let s3_row = by_path
.get(SUB_S3)
.expect("s3 subscriber should have a job");
let s3_trig = s3_row.2.as_ref().unwrap().get("trigger").unwrap();
assert_eq!(s3_trig["kind"], "asset");
assert_eq!(s3_trig["asset_kind"], "s3object");
assert_eq!(s3_trig["asset_path"], "f/blob");
assert_eq!(s3_trig["producer_path"], PRODUCER);
assert_eq!(
s3_trig["chain"],
json!([PRODUCER]),
"lineage starts with the producer on the first hop"
);
assert_eq!(s3_row.1.as_deref(), Some(PRODUCER));
let res_row = by_path
.get(SUB_RES)
.expect("resource subscriber should have a job");
let res_trig = res_row.2.as_ref().unwrap().get("trigger").unwrap();
assert_eq!(res_trig["asset_kind"], "resource");
assert_eq!(res_trig["asset_path"], "f/cfg");
// ── 2. Direct calls to dispatch_asset_triggers for arg / eligibility
// branches that can't be reached via the runtime path ──────────
clear_dispatched(&db).await?;
// skip arg suppresses dispatch
let id = seed_producer_job(&db, json!({ "_wmill_skip_asset_dispatch": true })).await?;
let r = dispatch_asset_triggers(&db, &make_mini(id, PRODUCER)).await;
assert_eq!(r.dispatched.len(), 0, "skip arg suppressed dispatch");
// cycle guard: a subscriber already in the lineage is skipped, but its
// siblings still dispatch (only the cyclic edge is cut).
let id = seed_producer_job(&db, json!({ "trigger": { "chain": [SUB_S3] } })).await?;
let r = dispatch_asset_triggers(&db, &make_mini(id, PRODUCER)).await;
assert_eq!(
r.dispatched.len(),
1,
"cyclic subscriber (already in lineage) skipped; sibling still dispatched"
);
// lineage accumulates: a fresh producer extends the chain with its own path
clear_dispatched(&db).await?;
let id = seed_producer_job(&db, json!({ "trigger": { "chain": ["f/upstream"] } })).await?;
let r = dispatch_asset_triggers(&db, &make_mini(id, PRODUCER)).await;
assert_eq!(r.dispatched.len(), 2);
let rows = fetch_dispatched(&db).await?;
for row in &rows {
assert_eq!(
row.2.as_ref().unwrap()["trigger"]["chain"],
json!(["f/upstream", PRODUCER]),
"lineage accumulates the producer path"
);
}
// flow step (carries flow_step_id) is ineligible
clear_dispatched(&db).await?;
let id = seed_producer_job(&db, json!({})).await?;
let mut mini = make_mini(id, PRODUCER);
mini.flow_step_id = Some("a".to_string());
let r = dispatch_asset_triggers(&db, &mini).await;
assert_eq!(r.dispatched.len(), 0, "flow step producer ineligible");
// A native retry attempt has a native_retry_attempt marker — it stays eligible,
// so a subscriber that recovers on retry still cascades.
clear_dispatched(&db).await?;
let id = seed_producer_job(&db, json!({})).await?;
sqlx::query("INSERT INTO native_retry_attempt (job_id, attempt) VALUES ($1, 1)")
.bind(id)
.execute(&db)
.await?;
let mut mini = make_mini(id, PRODUCER);
mini.parent_job = Some(Uuid::new_v4());
let r = dispatch_asset_triggers(&db, &mini).await;
assert_eq!(
r.dispatched.len(),
2,
"native retry attempt (marked) still dispatches"
);
// A parented Script child WITHOUT the marker — a schedule handler or a WAC
// inline child (which re-runs the same runnable) — must NOT cascade.
clear_dispatched(&db).await?;
let id = seed_producer_job(&db, json!({})).await?;
let mut mini = make_mini(id, PRODUCER);
mini.parent_job = Some(Uuid::new_v4()); // no marker => not a retry
let r = dispatch_asset_triggers(&db, &mini).await;
assert_eq!(
r.dispatched.len(),
0,
"parented child without the marker (handler/WAC inline) does not cascade"
);
// producer with kind=Flow is ineligible
let id = seed_producer_job(&db, json!({})).await?;
let mut mini = make_mini(id, PRODUCER);
mini.kind = JobKind::Flow;
let r = dispatch_asset_triggers(&db, &mini).await;
assert_eq!(r.dispatched.len(), 0, "flow producer ineligible");
// Sanity: the eligible direct call (clean producer, no args) still fires —
// proves the assertions above are negative cases, not a broken setup.
let id = seed_producer_job(&db, json!({})).await?;
let r = dispatch_asset_triggers(&db, &make_mini(id, PRODUCER)).await;
assert_eq!(r.dispatched.len(), 2, "clean direct call still dispatches");
Ok(())
}
/// Stage C: a `// partitioned dynamic` producer run through a real worker
/// must (1) resolve the partition off its triggering payload at execution
/// time, (2) persist it back into its own `v2_job.args` so the cascade
/// reads it, and (3) propagate the same value into the dispatched
/// subscriber's args + `trigger.partition`.
#[sqlx::test(fixtures("base"))]
async fn partition_dynamic_resolved_persisted_and_propagated(
db: Pool<Postgres>,
) -> anyhow::Result<()> {
initialize_tracing().await;
let server = ApiServer::start(db.clone()).await?;
let port = server.addr.port();
// Producer declares a dynamic partition keyed off the run payload.
// (Bash uses `#` comments — the annotation parser accepts `#`/`--`/`//`.)
let producer_hash = seed_script(
&db,
PRODUCER,
"# pipeline\n# partitioned dynamic key=\"$.tenant_id\"\necho producer",
"bash",
)
.await?;
seed_script(&db, SUB_S3, "echo s3-subscriber", "bash").await?;
seed_asset_write(&db, PRODUCER, "s3object", "f/blob").await?;
seed_subscription(&db, SUB_S3, "script", "s3://f/blob").await?;
let job = JobPayload::ScriptHash {
path: PRODUCER.to_string(),
hash: ScriptHash(producer_hash),
cache_ttl: None,
cache_ignore_s3_path: None,
dedicated_worker: None,
language: ScriptLang::Bash,
priority: None,
apply_preprocessor: false,
concurrency_settings: windmill_common::runnable_settings::ConcurrencySettings::default(),
debouncing_settings: windmill_common::runnable_settings::DebouncingSettings::default(),
labels: None,
};
let completed = RunJob::from(job)
.arg("tenant_id", json!("acme"))
.run_until_complete(&db, false, port)
.await;
assert!(completed.success, "partitioned producer must succeed");
// (2) resolved value persisted back into the producer's own args.
let prod = sqlx::query!(
r#"SELECT args AS "args: sqlx::types::Json<serde_json::Value>"
FROM v2_job
WHERE workspace_id = $1 AND runnable_path = $2 AND trigger_kind IS NULL"#,
WS,
PRODUCER,
)
.fetch_one(&db)
.await?;
assert_eq!(
prod.args.unwrap().0["partition"],
json!("acme"),
"Stage C must persist the resolved partition into v2_job.args"
);
// (3) propagated into the dispatched subscriber.
let rows = fetch_dispatched(&db).await?;
let sub = rows
.iter()
.find(|r| r.0 == SUB_S3)
.expect("subscriber must be dispatched");
let args = sub.2.as_ref().unwrap();
assert_eq!(
args["partition"],
json!("acme"),
"subscriber gets top-level partition arg"
);
assert_eq!(
args["trigger"]["partition"],
json!("acme"),
"subscriber gets trigger.partition"
);
Ok(())
}
/// Stage D: an AND-join subscriber (`// trigger all`) with two
/// partition-bearing inputs must NOT dispatch until both inputs have
/// arrived for the *same* partition; then it fires exactly once. Slots
/// are per-partition and cleared on fire (re-accumulate, no double-fire).
#[sqlx::test(fixtures("base"))]
async fn and_join_waits_for_all_partition_inputs(db: Pool<Postgres>) -> anyhow::Result<()> {
initialize_tracing().await;
const PROD_A: &str = "u/test-user/prod-a";
const PROD_B: &str = "u/test-user/prod-b";
const SUB_J: &str = "u/test-user/sub-join";
seed_script(&db, SUB_J, "echo join-subscriber", "bash").await?;
// Two partition-bearing producers, one input each (literal token form).
seed_asset_write(&db, PROD_A, "s3object", "lake/{partition}/a").await?;
seed_asset_write(&db, PROD_B, "s3object", "lake/{partition}/b").await?;
seed_subscription_and(&db, SUB_J, "s3://lake/{partition}/a").await?;
seed_subscription_and(&db, SUB_J, "s3://lake/{partition}/b").await?;
// Input A for partition "acme" → slot 1/2, must NOT dispatch.
let a_acme = seed_producer_job_path(&db, PROD_A, json!({ "partition": "acme" })).await?;
let r = dispatch_asset_triggers(&db, &make_mini(a_acme, PROD_A)).await;
assert!(
r.dispatched.is_empty(),
"AND join must wait: only 1 of 2 inputs present"
);
assert!(
fetch_dispatched(&db).await?.is_empty(),
"no subscriber job pushed yet"
);
// A different partition for input B must open its OWN slot, not
// complete acme's.
let b_globex = seed_producer_job_path(&db, PROD_B, json!({ "partition": "globex" })).await?;
let r = dispatch_asset_triggers(&db, &make_mini(b_globex, PROD_B)).await;
assert!(
r.dispatched.is_empty(),
"different partition opens a separate slot, does not complete acme"
);
// Input B for "acme" → acme slot now 2/2 → dispatch exactly once.
let b_acme = seed_producer_job_path(&db, PROD_B, json!({ "partition": "acme" })).await?;
let r = dispatch_asset_triggers(&db, &make_mini(b_acme, PROD_B)).await;
assert_eq!(r.dispatched.len(), 1, "AND join fires once both inputs in");
let rows = fetch_dispatched(&db).await?;
assert_eq!(rows.len(), 1);
let sub = &rows[0];
assert_eq!(sub.0, SUB_J);
let args = sub.2.as_ref().unwrap();
assert_eq!(args["partition"], json!("acme"));
assert_eq!(args["trigger"]["partition"], json!("acme"));
// Slot cleared on fire: re-arrival of A/acme alone is 1/2 again, no
// double-fire.
clear_dispatched(&db).await?;
let a_acme2 = seed_producer_job_path(&db, PROD_A, json!({ "partition": "acme" })).await?;
let r = dispatch_asset_triggers(&db, &make_mini(a_acme2, PROD_A)).await;
assert!(
r.dispatched.is_empty(),
"slot was cleared on fire; single input must not re-fire"
);
Ok(())
}
/// Stage E3: a subscriber whose edge has a debounce window gets real
/// DebouncingSettings (delay + a (subscriber, partition) key) on the
/// dispatched job; an undebounced subscriber on the same asset gets none
/// (fan-out, unchanged). Asserts the wiring fetch→push→payload→handle;
/// the actual window-collapse is the queue subsystem's own concern.
#[sqlx::test(fixtures("base"))]
async fn debounce_setting_applied_to_dispatched_subscriber(
db: Pool<Postgres>,
) -> anyhow::Result<()> {
initialize_tracing().await;
seed_script(&db, SUB_S3, "echo debounced", "bash").await?;
seed_script(&db, SUB_RES, "echo plain", "bash").await?;
seed_asset_write(&db, PRODUCER, "s3object", "f/blob").await?;
seed_subscription_debounced(&db, SUB_S3, "s3://f/blob", 30).await?;
seed_subscription(&db, SUB_RES, "script", "s3://f/blob").await?;
let id = seed_producer_job(&db, json!({})).await?;
let r = dispatch_asset_triggers(&db, &make_mini(id, PRODUCER)).await;
assert_eq!(r.dispatched.len(), 2, "both subscribers dispatched");
// Resolve the persisted debounce window straight from this test's own
// (isolated) DB by walking the handle chain
// v2_job_queue.runnable_settings_handle → runnable_settings.debouncing_settings
// → debouncing_settings. Reading the rows directly rather than through
// `prefetch_cached_from_handle` keeps the assertion off the process-global
// runnable-settings cache (and its tempdir-backed file I/O), which is
// shared by every test running concurrently in this binary — a needless
// cross-test coupling for what is purely a "was the handle wired through to
// the queued job" check. An undebounced subscriber has a NULL handle, so
// the inner joins yield no row → (None, None).
async fn debounce_of(
db: &Pool<Postgres>,
path: &str,
) -> anyhow::Result<(Option<i32>, Option<String>)> {
use sqlx::Row;
let row = sqlx::query(
r#"SELECT ds.debounce_delay_s, ds.debounce_key
FROM v2_job j
JOIN v2_job_queue q ON q.id = j.id
JOIN runnable_settings rs ON rs.hash = q.runnable_settings_handle
JOIN debouncing_settings ds ON ds.hash = rs.debouncing_settings
WHERE j.workspace_id = $1 AND j.runnable_path = $2
AND j.trigger_kind = 'asset'"#,
)
.bind(WS)
.bind(path)
.fetch_optional(db)
.await?;
Ok(match row {
Some(r) => (
r.try_get::<Option<i32>, _>("debounce_delay_s")?,
r.try_get::<Option<String>, _>("debounce_key")?,
),
None => (None, None),
})
}
let (deb_delay, deb_key) = debounce_of(&db, SUB_S3).await?;
assert_eq!(deb_delay, Some(30), "debounced edge → 30s window");
assert!(
deb_key
.as_deref()
.is_some_and(|k| k.starts_with("asset-cascade:")),
"debounce key is scoped to the (subscriber, partition) cascade slot, got {deb_key:?}"
);
let (plain_delay, _) = debounce_of(&db, SUB_RES).await?;
assert_eq!(
plain_delay, None,
"undebounced edge → no debounce (fan-out)"
);
Ok(())
}
/// `// retry <n> [<delay>]` opts the subscriber into native retry: the
/// dispatcher pushes a real `JobKind::Script` (not a one-step flow) carrying
/// the policy in its `runnable_settings_handle`, so a failed subscriber re-runs
/// natively and stays eligible to trigger its own downstream. Subscribers
/// without retry are pushed as a plain `Script` with no settings handle.
#[sqlx::test(fixtures("base"))]
async fn retry_setting_dispatches_subscriber_as_native_script(
db: Pool<Postgres>,
) -> anyhow::Result<()> {
initialize_tracing().await;
seed_script(&db, SUB_S3, "echo retrying", "bash").await?;
seed_script(&db, SUB_RES, "echo plain", "bash").await?;
seed_asset_write(&db, PRODUCER, "s3object", "f/blob").await?;
// Retry policy on the s3 edge; res edge stays vanilla so we also assert the
// "no retry" path carries no settings handle.
seed_subscription_with_retry(&db, SUB_S3, "s3://f/blob", 3, 5).await?;
seed_subscription(&db, SUB_RES, "script", "s3://f/blob").await?;
let id = seed_producer_job(&db, json!({})).await?;
let r = dispatch_asset_triggers(&db, &make_mini(id, PRODUCER)).await;
assert_eq!(r.dispatched.len(), 2, "both subscribers dispatched");
let rows: Vec<(String, String, Option<i64>)> = sqlx::query!(
r#"SELECT j.runnable_path AS "runnable_path!", j.kind::text AS "kind!",
q.runnable_settings_handle
FROM v2_job j JOIN v2_job_queue q ON q.id = j.id
WHERE j.workspace_id = $1 AND j.trigger_kind = 'asset'
ORDER BY j.runnable_path"#,
WS,
)
.fetch_all(&db)
.await?
.into_iter()
.map(|r| (r.runnable_path, r.kind, r.runnable_settings_handle))
.collect();
let s3 = rows
.iter()
.find(|(p, _, _)| p == SUB_S3)
.expect("s3 dispatched");
let res = rows
.iter()
.find(|(p, _, _)| p == SUB_RES)
.expect("res dispatched");
// Native retry: a real Script (not a SingleStepFlow), with the policy in the
// runnable_settings_handle.
assert_eq!(
s3.1, "script",
"retry subscriber dispatched as a native Script"
);
assert!(
s3.2.is_some(),
"retry subscriber carries a runnable_settings_handle (the retry policy)"
);
assert_eq!(
res.1, "script",
"no-retry subscriber stays a plain ScriptHash push"
);
assert!(
res.2.is_none(),
"no-retry subscriber carries no settings handle"
);
Ok(())
}
/// Regression for the AND-join check-then-act race: when a subscriber's
/// last partition-bearing inputs complete concurrently (different workers
/// finishing different upstream producers at once), the barrier must
/// still fire the subscriber exactly once for the partition. Fires all N
/// producers' dispatch simultaneously (a barrier releases them together)
/// and asserts a single dispatch and a cleared slot. This invariant holds
/// for the transactional, advisory-locked gate regardless of interleaving;
/// a regression to a non-atomic check-then-act fails it.
#[sqlx::test(fixtures("base"))]
async fn and_join_fires_once_under_concurrent_completion(db: Pool<Postgres>) -> anyhow::Result<()> {
initialize_tracing().await;
const SUB_J: &str = "u/test-user/sub-join-conc";
const N: usize = 5;
seed_script(&db, SUB_J, "echo join", "bash").await?;
let mut producers = Vec::new();
for i in 0..N {
let prod = format!("u/test-user/prod-conc-{i}");
seed_asset_write(&db, &prod, "s3object", &format!("lake/{{partition}}/i{i}")).await?;
seed_subscription_and(&db, SUB_J, &format!("s3://lake/{{partition}}/i{i}")).await?;
let id = seed_producer_job_path(&db, &prod, json!({ "partition": "acme" })).await?;
producers.push((id, prod));
}
let barrier = std::sync::Arc::new(tokio::sync::Barrier::new(N));
let mut set = tokio::task::JoinSet::new();
for (id, prod) in producers {
let db = db.clone();
let barrier = barrier.clone();
set.spawn(async move {
barrier.wait().await;
dispatch_asset_triggers(&db, &make_mini(id, &prod))
.await
.dispatched
.len()
});
}
let mut total = 0usize;
while let Some(r) = set.join_next().await {
total += r?;
}
assert_eq!(
total, 1,
"AND join must dispatch the subscriber exactly once under concurrent completion"
);
let fires = fetch_dispatched(&db)
.await?
.iter()
.filter(|r| r.0 == SUB_J)
.count();
assert_eq!(fires, 1, "exactly one subscriber job pushed");
let leftover = sqlx::query_scalar!(
r#"SELECT count(*) AS "n!"
FROM join_pending_inputs
WHERE workspace_id = $1 AND subscriber_path = $2"#,
WS,
SUB_J,
)
.fetch_one(&db)
.await?;
assert_eq!(leftover, 0, "join slot cleared after fire");
Ok(())
}
/// Fuller pipeline: a partitioned chain that fans in through an AND-join
/// and then fans out over several more hops. Asserts the resolved
/// partition propagates unchanged at every hop, the chain depth
/// increments per hop, the AND barrier fires once, and a different
/// partition opens an independent slot (no cross-partition bleed) across
/// the whole multi-hop graph.
///
/// Shape: A,B (partitioned producers) ─┐
/// ├─▶ J (// trigger all) ─▶ C ─▶ D
/// A,B ─────────────────────────┘
#[sqlx::test(fixtures("base"))]
async fn fuller_partitioned_join_multihop_pipeline(db: Pool<Postgres>) -> anyhow::Result<()> {
initialize_tracing().await;
const PA: &str = "u/test-user/p-a";
const PB: &str = "u/test-user/p-b";
const JN: &str = "u/test-user/p-join";
const CN: &str = "u/test-user/p-c";
const DN: &str = "u/test-user/p-d";
for p in [JN, CN, DN] {
seed_script(&db, p, "echo step", "bash").await?;
}
seed_asset_write(&db, PA, "s3object", "lake/{partition}/a").await?;
seed_asset_write(&db, PB, "s3object", "lake/{partition}/b").await?;
seed_asset_write(&db, JN, "s3object", "lake/{partition}/j").await?;
seed_asset_write(&db, CN, "s3object", "lake/{partition}/c").await?;
// J is an AND join over both partition-bearing inputs.
seed_subscription_and(&db, JN, "s3://lake/{partition}/a").await?;
seed_subscription_and(&db, JN, "s3://lake/{partition}/b").await?;
seed_subscription(&db, CN, "script", "s3://lake/{partition}/j").await?;
seed_subscription(&db, DN, "script", "s3://lake/{partition}/c").await?;
// Helper: assert exactly one dispatch to `path` carrying partition
// `part`, with a cascade lineage of `chain_len` producer paths.
async fn assert_hop(
db: &Pool<Postgres>,
path: &str,
part: &str,
chain_len: usize,
) -> anyhow::Result<()> {
let rows = fetch_dispatched(db).await?;
let hits: Vec<_> = rows.iter().filter(|r| r.0 == path).collect();
assert_eq!(hits.len(), 1, "expected exactly one dispatch to {path}");
let args = hits[0].2.as_ref().unwrap();
assert_eq!(args["partition"], json!(part), "{path} top-level partition");
assert_eq!(
args["trigger"]["partition"],
json!(part),
"{path} trigger.partition"
);
assert_eq!(
args["trigger"]["chain"].as_array().map(|c| c.len()),
Some(chain_len),
"{path} lineage length"
);
Ok(())
}
// day1: A arrives → J waits (1/2 partition-bearing inputs).
let pa = seed_producer_job_path(
&db,
PA,
json!({ "partition": "day1", "trigger": { "chain": ["s0"] } }),
)
.await?;
let r = dispatch_asset_triggers(&db, &make_mini(pa, PA)).await;
assert!(r.dispatched.is_empty(), "J must wait: only A present");
assert!(fetch_dispatched(&db).await?.is_empty());
// day1: B arrives → J fires once for day1 at depth 2.
let pb = seed_producer_job_path(
&db,
PB,
json!({ "partition": "day1", "trigger": { "chain": ["s0"] } }),
)
.await?;
let r = dispatch_asset_triggers(&db, &make_mini(pb, PB)).await;
assert_eq!(r.dispatched.len(), 1, "J fires once when both inputs in");
assert_hop(&db, JN, "day1", 2).await?;
clear_dispatched(&db).await?;
// J completes for day1 → C runs for day1 at depth 3.
let jn = seed_producer_job_path(
&db,
JN,
json!({ "partition": "day1", "trigger": { "chain": ["s0", PB] } }),
)
.await?;
let r = dispatch_asset_triggers(&db, &make_mini(jn, JN)).await;
assert_eq!(r.dispatched.len(), 1);
assert_hop(&db, CN, "day1", 3).await?;
clear_dispatched(&db).await?;
// C completes for day1 → D (leaf) runs for day1 at depth 4.
let cn = seed_producer_job_path(
&db,
CN,
json!({ "partition": "day1", "trigger": { "chain": ["s0", PB, JN] } }),
)
.await?;
let r = dispatch_asset_triggers(&db, &make_mini(cn, CN)).await;
assert_eq!(r.dispatched.len(), 1);
assert_hop(&db, DN, "day1", 4).await?;
clear_dispatched(&db).await?;
// A different partition opens an independent J slot — no bleed from
// the completed day1 run.
let pa2 = seed_producer_job_path(
&db,
PA,
json!({ "partition": "day2", "trigger": { "chain": ["s0"] } }),
)
.await?;
let r = dispatch_asset_triggers(&db, &make_mini(pa2, PA)).await;
assert!(
r.dispatched.is_empty(),
"day2 is a separate slot; J must not fire from day1's completion"
);
Ok(())
}
/// The TTL reaper deletes abandoned AND-join slots, but keyed on the
/// slot's MOST RECENT row: a slot still receiving input (newest row
/// fresh) is never reaped even if it also has rows older than the TTL.
/// This per-slot (not per-row) property is the correctness point — it
/// prevents corrupting a join whose inputs trickle in slowly.
#[sqlx::test(fixtures("base"))]
async fn reaper_clears_only_stale_join_slots(db: Pool<Postgres>) -> anyhow::Result<()> {
initialize_tracing().await;
// Seed a join_pending_inputs row with an explicit age (days old).
async fn seed_slot_row(
db: &Pool<Postgres>,
sub: &str,
part: &str,
tref: &str,
age_days: i64,
) -> anyhow::Result<()> {
sqlx::query(
r#"INSERT INTO join_pending_inputs
(workspace_id, subscriber_path, partition, trigger_ref, received_at)
VALUES ($1, $2, $3, $4, now() - ($5::bigint::text || ' d')::interval)"#,
)
.bind(WS)
.bind(sub)
.bind(part)
.bind(tref)
.bind(age_days)
.execute(db)
.await?;
Ok(())
}
async fn slot_count(db: &Pool<Postgres>, sub: &str) -> anyhow::Result<i64> {
Ok(sqlx::query_scalar!(
r#"SELECT count(*) AS "n!" FROM join_pending_inputs
WHERE workspace_id = $1 AND subscriber_path = $2"#,
WS,
sub,
)
.fetch_one(db)
.await?)
}
// Stale: every row older than the 60d TTL → reaped.
seed_slot_row(
&db,
"u/test-user/sub-stale",
"p1",
"s3://x/{partition}/a",
61,
)
.await?;
seed_slot_row(
&db,
"u/test-user/sub-stale",
"p1",
"s3://x/{partition}/b",
90,
)
.await?;
// Fresh: recent → kept.
seed_slot_row(
&db,
"u/test-user/sub-fresh",
"p1",
"s3://y/{partition}/a",
0,
)
.await?;
// Mixed: one ancient row + one fresh row in the SAME slot. max(received_at)
// is fresh, so the whole slot must be kept (the correctness property).
seed_slot_row(
&db,
"u/test-user/sub-mixed",
"p1",
"s3://z/{partition}/a",
120,
)
.await?;
seed_slot_row(
&db,
"u/test-user/sub-mixed",
"p1",
"s3://z/{partition}/b",
0,
)
.await?;
reap_stale_join_slots(&db).await?;
assert_eq!(
slot_count(&db, "u/test-user/sub-stale").await?,
0,
"stale slot reaped"
);
assert_eq!(
slot_count(&db, "u/test-user/sub-fresh").await?,
1,
"fresh slot kept"
);
assert_eq!(
slot_count(&db, "u/test-user/sub-mixed").await?,
2,
"slot with a recent row must be kept entirely (per-slot, not per-row)"
);
Ok(())
}
/// Seed one `materialized_partition` row (the state a managed `// materialize`
/// write records) so dispatch has a snapshot to look up.
async fn seed_materialization(
db: &Pool<Postgres>,
kind: &str,
asset_path: &str,
partition: &str,
status: &str,
snapshot_id: Option<i64>,
) -> anyhow::Result<()> {
sqlx::query(
r#"INSERT INTO materialized_partition
(workspace_id, asset_kind, asset_path, partition, status, snapshot_id)
VALUES ($1, $2::asset_kind, $3, $4, $5::materialization_status, $6)"#,
)
.bind(WS)
.bind(kind)
.bind(asset_path)
.bind(partition)
.bind(status)
.bind(snapshot_id)
.execute(db)
.await?;
Ok(())
}
/// Dispatch records, on the consumer's `trigger` arg, the latest captured
/// materialization snapshot of each of its direct upstream assets
/// (`upstream_snapshots`) — the forensic "what did this run see" record.
/// Covered here:
/// - latest = highest `snapshot_id` with status `materialized` (a stale
/// partition and a failed/no-snapshot row are both passed over),
/// - whole-table (sentinel '') upstreams omit `partition`,
/// - upstreams with no captured snapshot produce no entry,
/// - a consumer with no materialized upstream at all gets no
/// `upstream_snapshots` key.
#[sqlx::test(fixtures("base"))]
async fn upstream_snapshots_recorded_on_dispatch(db: Pool<Postgres>) -> anyhow::Result<()> {
initialize_tracing().await;
seed_script(&db, SUB_S3, "echo lake consumer", "bash").await?;
seed_script(&db, SUB_RES, "echo raw consumer", "bash").await?;
seed_asset_write(&db, PRODUCER, "ducklake", "analytics/orders").await?;
seed_asset_write(&db, PRODUCER, "s3object", "f/raw").await?;
// SUB_S3's direct upstream set: the firing ducklake asset, a second
// materialized ducklake dimension (written by some other producer), and a
// plain s3 object that is never materialized.
seed_subscription(&db, SUB_S3, "script", "ducklake://analytics/orders").await?;
seed_subscription(&db, SUB_S3, "script", "ducklake://analytics/customers").await?;
seed_subscription(&db, SUB_S3, "script", "s3://f/raw").await?;
// SUB_RES subscribes only to the raw (non-materialized) asset.
seed_subscription(&db, SUB_RES, "script", "s3://f/raw").await?;
// orders: an older partition, the latest one, and a failed slice with no
// snapshot — only 2026-06-19 @ 42 must be recorded.
seed_materialization(
&db,
"ducklake",
"analytics/orders",
"2026-06-18",
"materialized",
Some(41),
)
.await?;
seed_materialization(
&db,
"ducklake",
"analytics/orders",
"2026-06-19",
"materialized",
Some(42),
)
.await?;
seed_materialization(
&db,
"ducklake",
"analytics/orders",
"2026-06-20",
"failed",
None,
)
.await?;
// customers: unpartitioned (sentinel '') → entry without `partition`.
seed_materialization(
&db,
"ducklake",
"analytics/customers",
"",
"materialized",
Some(7),
)
.await?;
let id = seed_producer_job(&db, json!({})).await?;
let r = dispatch_asset_triggers(&db, &make_mini(id, PRODUCER)).await;
assert_eq!(
r.dispatched.len(),
3,
"SUB_S3 fired for both written assets, SUB_RES for the raw one"
);
let expected_snaps = json!([
{ "asset": "ducklake://analytics/customers", "snapshot_id": 7 },
{ "asset": "ducklake://analytics/orders", "snapshot_id": 42, "partition": "2026-06-19" },
]);
for (path, _, args) in fetch_dispatched(&db).await? {
let trigger = args
.as_ref()
.and_then(|a| a.get("trigger"))
.cloned()
.expect("dispatched job carries a trigger arg");
match path.as_str() {
SUB_S3 => assert_eq!(
trigger.get("upstream_snapshots"),
Some(&expected_snaps),
"latest materialized snapshot per upstream, sorted by ref, raw asset absent"
),
SUB_RES => assert!(
trigger.get("upstream_snapshots").is_none(),
"no materialized upstream → no upstream_snapshots key"
),
other => panic!("unexpected dispatched path {other}"),
}
}
Ok(())
}