Skip to content

feat(scheduler): record a per-job event log behind --event-log-dir - #2264

Merged
andygrove merged 12 commits into
apache:mainfrom
andygrove:history-scheduler-wiring
Aug 9, 2026
Merged

feat(scheduler): record a per-job event log behind --event-log-dir#2264
andygrove merged 12 commits into
apache:mainfrom
andygrove:history-scheduler-wiring

Conversation

@andygrove

@andygrove andygrove commented Aug 9, 2026

Copy link
Copy Markdown
Member

Which issue does this PR close?

Part of #1923. Third of four PRs splitting up #1925, after #2256 (merged) and #2260.

Rationale for this change

#2260 added the event-log format and the machinery to read and write it, but nothing produces one. This wires it into the scheduler so a running cluster actually emits logs. Nothing reads them yet: the history server that serves them is the last slice.

Splitting it out this way keeps the reviewable question narrow. This is the only slice that touches the scheduler's event loop, so it is the one where the cost of being wrong is a scheduling regression rather than a missing feature. That deserves its own read, rather than being buried in a PR that also introduces a binary and a docs page.

What changes are included in this PR?

A new --event-log-dir flag, off by default. When it is unset there is no channel, no background task, no file, and no per-event work beyond one Option check in on_receive. A cluster that does not opt in is unaffected.

scheduler_server/event_log.rs builds HistoryEvents from execution-graph state. It reuses api::dto_build, the same builders backing the live REST API, so a job's stored record and its GET /api/job/{id} response are the same bytes for the same graph. That reuse is the whole reason #2256 extracted those builders out of the axum handlers.

A tee at the top of QueryStageScheduler::on_receive maps JobSubmitted, TaskUpdating, JobFinished, JobRunningFailed and JobCancel onto history events.

Three decisions in there worth review attention:

  • JobCancel is handled in the tee rather than alongside the other terminal events, because the handler below it drops the graph. That makes the tee the last point at which a cancelled job can be recorded at all. Without it, a cancelled job would never get a terminal record, leaving it invisible to the history server and its file handle open for the life of the process.
  • A cancelled job's status is overridden on the typed DTO before serialization, not by rewriting the stored JSON afterwards. The tee runs before the scheduler applies the cancel, so the graph still reports the job as Running. Patching the serialized payload would have worked, but it would also have broken the property that a stored payload is a faithful serialization of exactly one value, which is what lets the history server relay it verbatim.
  • JobPlanningFailed is deliberately absent. It is posted instead of JobSubmitted when submit_job fails, so the job has neither an execution graph nor an open log file. There is nothing to record and nothing to close.

Event logging never fails a job. A missing execution graph or a serialization error is logged and skipped. The worst case is a job with no record, never a job that does not run.

The stage snapshot embedded in JobEnd is rendered as of completed_at, not the wall clock, so replaying a log is deterministic rather than dependent on when the writer happened to run.

Are there any user-facing changes?

One new opt-in flag, --event-log-dir <dir>, disabled by default. No behaviour change for clusters that do not set it, no API changes, no configuration defaults altered.

Verified locally: cargo test -p ballista-scheduler --lib passes (331 tests, 7 of them new), clippy is clean with --all-features -D warnings, fmt and taplo are clean, and the --no-default-features check CI runs still passes.

What is not here

The end-to-end guarantee. history_store_serves_byte_identical_json_to_live_scheduler asserts that the history server serves exactly what the live scheduler would for the same graph, but it needs HistoryStore, which arrives with the server in the next slice. It moves there rather than being duplicated or weakened here.

So this slice lands with the emission path covered by unit tests on the event builders and a round trip through the real async writer, but the parity claim itself is proved one PR later. Naming that explicitly because it is the one place the split is not clean.

Follow-up

  1. The history server binary, its docs, and the byte-identity test.

…or out dto_build

Move the scheduler's REST response types into a new leaf crate,
`ballista-history`, and pull the graph-to-DTO construction out of the
axum handlers into a pure `api::dto_build` module.

Behavior preserving: the same DTOs are produced from the same state, so
live REST responses are byte-identical. The existing handler tests cover
this, and the helper unit tests move alongside the functions they test.

This is the first step toward a history server that replays completed
jobs and serves the same `/api/*` responses without a live scheduler.
Splitting the DTOs into a serde-only crate lets that server build the
identical wire types without depending on the scheduler's live
execution graph, and moving construction out of the handlers means it
can run against state that did not come from a handler request.

`JobResponse::job_id` becomes a `String` rather than `ballista_core::JobId`
so the new crate stays serde-only. `JobId` is `#[serde(transparent)]`
over `String`, so the JSON is unchanged.
Follow-up cleanups on the extraction:

- Collapse the three near-identical ExecutionStage arms in
  graph_to_query_stages into one destructuring match, dropping the
  mutable placeholder-zero summary.
- Take PlanFormat by value instead of &JobQueryParams, and move
  PlanFormat into ballista-history. It is part of the wire contract, and
  the pure builder no longer imports an axum query-param type back out of
  the handler module.
- Inject `now` into graph_to_query_stages rather than reading the clock,
  so replaying a stored log renders stable elapsed times.
- Share percent_complete and min_start_time; use displayable() instead of
  the longhand DisplayableExecutionPlan::new().
- Drop the dead JobConfig alias and the unused serde_json dev-dependency,
  make task_status_to_dto private, and remove a duplicated test.
- Enable #![warn(missing_docs)] on ballista-history and document the
  types, matching the other Ballista crates.
- Register ballista-history with the release tooling: version bump
  script, publish order, and crate dependency graph.
The previous wording left it ambiguous whether the history server
re-derives responses from stored execution state or replays stored DTOs.
It replays them: the scheduler builds each response once against the live
graph and writes it to the event log, so byte-identical output is a
structural property rather than two implementations agreeing.

Also records the consequence, that anything not captured at write time
cannot be recovered at replay time.
The crate holds the /api/* wire types, and it has three parties, not one:
the scheduler serves them, the web TUI deserializes them, and a future
history server will serve replayed copies. Naming it after the history
server made it awkward for the TUI, which parses live scheduler responses
and today keeps its own duplicate declarations.

Renaming it after the contract it defines removes that friction. The
event-log schema, writer, and reader can then land as a separate
ballista-history crate that depends on this one.
Second step toward the history server (apache#1923), after the wire-type
extraction in apache#2256. Adds the durable format and the machinery to read and
write it. Nothing in the scheduler calls this yet.

- A versioned JSONL schema. JobStart / StageStart / StageEnd / TaskEnd form
  an incremental timeline; the terminal JobEnd embeds the finished REST
  responses, so replay re-serves what the scheduler already built rather
  than re-deriving it.
- An async buffered EventLogWriter. All file I/O runs on a background task
  so the scheduler's event loop never waits on disk. Timeline events are
  dropped rather than allowed to block when the queue backs up, since
  losing a progress record beats stalling scheduling. JobEnd is the
  exception and waits for capacity, because a job missing it is invisible
  to the history server.
- A reader that folds a completed log back into the served payload,
  skipping malformed lines rather than failing.

Restores the JobConfig alias to ballista-api-types, which now has a real
consumer in the JobEnd record.

TaskEnd names a task rather than a partition: under the multi-partition
task model a task owns a slice of partitions, and TaskStatus carries
task_id, not partition_id.
A log is written once and may be read years later by a much newer binary,
so the guarantee has to run one way: a reader accepts any log whose version
is not newer than its own. That is the opposite of
BALLISTA_PROTOCOL_VERSION, the strict-equality handshake between scheduler
and executor, where both ends are live and upgraded together.

The format did not support that yet. Four changes:

Self-describing envelope. Every line is now a LogRecord carrying `ev`,
`version` and an opaque `data` payload, so a reader can route on the kind
and check the version before committing to a shape it may not understand.
Previously only JobStart and JobEnd carried a version at all.

Stored responses are opaque. JobEnd holds the finished /api/* responses as
raw JSON rather than typed structs, plus a small frozen JobIndex for
listing. Those responses are ballista-api-types shapes, which change with
the live REST contract: partition_id went from u32 to Vec<u32> and
TaskStatus::Failed gained a field within one release cycle. Stored typed,
either change would have made every older log unreadable, and the job would
have silently disappeared. Stored raw, nothing ever parses the inner shape
and replay relays the exact bytes.

Unreadable is no longer indistinguishable from absent. read_completed_job
returned Ok(None) both when a log had no JobEnd and when it had one that
could not be parsed, and the loader treated that as "still running" and said
nothing. It now returns a ReadError distinguishing an unsupported version
from a malformed record.

The version is actually checked. A record newer than SCHEMA_VERSION is
reported as such rather than skipped.

Adds testdata/schema-v1.eventlog, a frozen log replayed by CI on every
build. It includes a record kind this build does not know and a stages
payload carrying the multi-partition shape, so it exercises both
forward-compatibility paths. Verified it fails as intended: a field rename
in a stored type breaks all four compatibility tests.
# Conflicts:
#	Cargo.toml
#	ballista/api-types/src/dto.rs
#	dev/release/README.md
#	dev/release/crate-deps.dot
#	dev/update_ballista_versions.py
Third step toward the history server (apache#1923). Wires the event-log crate
from apache#2260 into the scheduler. Nothing reads these logs yet; the history
server that serves them is the next slice.

- New --event-log-dir flag, off by default. When unset there is no
  channel, no background task, no file, and no per-event work beyond one
  Option check in the event loop.
- event_log.rs builds HistoryEvents from execution-graph state, reusing
  the same api::dto_build builders that back the live REST API, so a
  job's stored record and its GET /api/job/{id} response are the same
  bytes for the same graph.
- A tee at the top of QueryStageScheduler::on_receive maps JobSubmitted,
  TaskUpdating, JobFinished, JobRunningFailed and JobCancel onto history
  events.

JobCancel is handled in the tee specifically because the handler below it
drops the graph, making that the last point at which a cancelled job can
be recorded. Its status is overridden on the typed DTO before anything is
serialized, rather than by rewriting the stored JSON, so the payload stays
a faithful serialization of one value and can be relayed verbatim.

JobPlanningFailed is deliberately absent: it is posted instead of
JobSubmitted, so the job has neither an execution graph nor an open log.

Failure to build an event costs the job its record, never its execution.
A missing graph or a serialization error is logged and skipped.

The stage snapshot embedded in JobEnd is rendered as of completed_at
rather than the wall clock, so replaying a log is deterministic.
The index exists so the history server can render GET /api/jobs without
parsing the stored payloads, but it was missing num_stages,
completed_stages and percent_complete, which that response includes. It
could not actually serve the list it was there for.

Adds the three fields and updates the v1 fixture to match. Doing this
before release, while the schema is still unpublished, so the frozen
fixture stays a faithful record of what v1 actually looks like.
@andygrove
andygrove marked this pull request as ready for review August 9, 2026 17:25
@andygrove
andygrove requested a review from milenkovicm August 9, 2026 17:25
@milenkovicm

Copy link
Copy Markdown
Contributor

a bit late comment on EventLogWriter writes to local file system, would it make sense to use object store abstraction an be able to write files to S3 or similar so they survive if scheduler does not ?
wdyt @andygrove

@milenkovicm milenkovicm left a comment

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

tested it, it works as expected. thanks @andygrove

two comments for consideration

  • make event log use object store abstraction so we can ship them to a remote (object) store
  • i've wanted to change job ids for some time now to use some kind of uuid or ulid, i think sorted job id would make sense if we keep job history

@andygrove

Copy link
Copy Markdown
Member Author

tested it, it works as expected. thanks @andygrove

two comments for consideration

  • make event log use object store abstraction so we can ship them to a remote (object) store
  • i've wanted to change job ids for some time now to use some kind of uuid or ulid, i think sorted job id would make sense if we keep job history

great idea about using object store, will file issue

@andygrove

Copy link
Copy Markdown
Member Author

tested it, it works as expected. thanks @andygrove
two comments for consideration

  • make event log use object store abstraction so we can ship them to a remote (object) store
  • i've wanted to change job ids for some time now to use some kind of uuid or ulid, i think sorted job id would make sense if we keep job history

great idea about using object store, will file issue

#2267

@andygrove
andygrove merged commit e3fac40 into apache:main Aug 9, 2026
26 checks passed
@andygrove
andygrove deleted the history-scheduler-wiring branch August 9, 2026 20:24
@andygrove

Copy link
Copy Markdown
Member Author

Thanks for testing this feature @milenkovicm!

@milenkovicm

Copy link
Copy Markdown
Contributor

i have changed job ids format in #2269

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants