Event-Driven Platform — PostgresVerse Project
Event-Driven Platform — PostgresVerse Project: free step-by-step lesson with examples, common mistakes, and interview tips — part of PostgreSQL Tutorial on Toolliyo Academy.
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PostgreSQL Tutorial · Lesson 97 of 100
Event-Driven Platform
SQL ✓ → Advanced
Advanced · 2 — Production · ~10 min · PostgreSQL — Real-World Projects
What is this?
Event-driven platform captures domain events in outbox table, logical replication or Debezium to message bus — PostgreSQL as source of truth with at-least-once delivery.
Why should you care?
PostgresVerse order service publishes OrderPlaced without dual-write to Kafka and DB getting out of sync.
See it live — copy this example
Run in pgAdmin or psql.
CREATE TABLE outbox_events (
event_id bigserial PRIMARY KEY,
aggregate_type text NOT NULL,
aggregate_id text NOT NULL,
event_type text NOT NULL,
payload jsonb NOT NULL,
created_at timestamptz DEFAULT now(),
published_at timestamptz
);
INSERT INTO outbox_events (aggregate_type, aggregate_id, event_type, payload)
VALUES ('order', '9001', 'OrderPlaced', '{"total":1299}'::jsonb);
What happened?
- Same transaction as order insert writes outbox row.
- Relay process polls WHERE published_at IS NULL, publishes to queue, marks published.
- Crash-safe pattern.
Practice next
- Create outbox_events.
- Wrap order INSERT + outbox INSERT in BEGIN...COMMIT.
- Poll unpublished events SELECT ... FOR UPDATE SKIP LOCKED.
- Add partial index WHERE published_at IS NULL.
- Partition outbox by created_at monthly.
Remember
Transactional outbox avoids dual-write bug. FOR UPDATE SKIP LOCKED for worker pools. Logical decoding alternative for CDC.
PostgresVerse order events
Warehouse service consumes OrderPlaced from outbox relay; inventory updates async.
Outcome: Order API stays fast; downstream scales independently.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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