Files
Saadi Myftija d4772b5f60 feat: run annotations (#3241)
Adds an `annotations` JSONB column to task runs that captures where and
how each run was triggered.
This enables filtering and analyzing trigger origins without querying up
the run tree. Also enables making scheduling decisions based on the
trigger source, e.g., use separate affinities for scheduled runs.

Each run records:
- **triggerSource**: who initiated it (sdk, api, dashboard, cli, mcp,
schedule)
- **triggerAction**: what kind of action (trigger, replay, test)
- **rootTriggerSource**: the trigger source of the root ancestor,
propagated through the entire run
 tree
- **rootScheduleId**: schedule id, in case the run tree was triggered
from a schedule

Currently the main motivation for annotations it to determine whether a
run is part of a schedule-originated tree without traversing ancestors.

### A couple of design considerations
- **Decoupled source from method**: triggerSource and triggerAction are
separate fields to avoid
combinatorial explosion (every new source × every new action)
- **Server-side first**: all annotation values are primarily determined
on the server, only a minor SDK change needed
- **Forward-compatible**: annotation fields use
`z.enum([...]).or(anyString)` so new values can be
added without breaking validation; we currently don't need an explicit
version field for annotations.

Note: `metadata` would have been a more fitting name for the db column,
as it is consistent with other tables where we store this type of
information. It is already in use to store user metadata though, so we
go with `annotations` instead.
2026-03-23 16:07:30 +01:00
..
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@trigger.dev/database

This is the internal database package for the Trigger.dev project. It exports a generated prisma client that can be instantiated with a connection string.

How to switch branches when you've done migrations

Sometimes you've applied migrations and then want to switch branches without wiping out your local database.

To do this you can run the following command:

DB_VOLUME=database-data-alt pnpm run docker

This will switch to the alt volume for your local database. This database will be blank if you haven't switched to this volume before, so you'll need to follow the normal steps (in the Contributing guide) to get setup, e.g. apply migrations and seed.

To switch back to the original volume, run the following command:

pnpm run docker

How to add a new index on a large table

  1. Modify the Prisma.schema with a single index change (no other changes, just one index at a time)
  2. Create a Prisma migration using cd internal-packages/database && pnpm run db:migrate:dev:create
  3. Modify the SQL file: add IF NOT EXISTS to it and CONCURRENTLY:
CREATE INDEX CONCURRENTLY IF NOT EXISTS "JobRun_eventId_idx" ON "JobRun" ("eventId");
  1. Dont apply the Prisma migration locally yet. This is a good opportunity to test the flow.
  2. Manually apply the index to your database, by running the index command.
  3. Then locally run pnpm run db:migrate:deploy

Before deploying

Run the index creation before deploying

CREATE INDEX CONCURRENTLY IF NOT EXISTS "JobRun_eventId_idx" ON "JobRun" ("eventId");

These commands are useful:

-- creates an index safely, this can take a long time (2 mins maybe)
CREATE INDEX CONCURRENTLY IF NOT EXISTS "JobRun_eventId_idx" ON "JobRun" ("eventId");
-- checks the status of an index
SELECT * FROM pg_stat_progress_create_index WHERE relid = '"JobRun"'::regclass;
-- checks if the index is there
SELECT * FROM pg_indexes WHERE tablename = 'JobRun' AND indexname = 'JobRun_eventId_idx';

Now, when you deploy and prisma runs the migration, it will skip the index creation because it already exists. If you don't do this, there will be pain.