Lesson 96/100

Tutorials PostgreSQL Tutorial

Real-Time Dashboard — PostgresVerse Project

Real-Time Dashboard — 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 96 of 100

Real-Time Dashboard

SQL ✓Advanced

Advanced · 2 — Production · ~10 min · PostgreSQL — Real-World Projects

What is this?

Real-time dashboard uses LISTEN/NOTIFY, logical decoding, or frequent polling of materialized snapshots — PostgreSQL pushes or exposes fresh aggregates to BI frontends.

Why should you care?

PostgresVerse ops wall shows live order count without hammering SELECT COUNT(*) on orders every second.

See it live — copy this example

Run in pgAdmin or psql.

CREATE OR REPLACE FUNCTION notify_order_insert()
RETURNS trigger LANGUAGE plpgsql AS $$
BEGIN
  PERFORM pg_notify('orders_channel', json_build_object(
    'order_id', NEW.order_id,
    'total', NEW.total_amount
  )::text);
  RETURN NEW;
END;
$$;

CREATE TRIGGER trg_order_notify
AFTER INSERT ON orders
FOR EACH ROW EXECUTE FUNCTION notify_order_insert();

What happened?

  • After each order insert trigger fires pg_notify on orders_channel with JSON payload.
  • Dashboard listener connection RECEIVE NOTIFY and updates UI count.

Practice next

  1. Create trigger on orders.
  2. In psql session one: LISTEN orders_channel;
  3. Session two: INSERT order; watch NOTIFY in session one.
  4. Maintain orders_today counter updated in same trigger.
  5. REFRESH MATERIALIZED VIEW CONCURRENTLY every 30s for charts.

Remember

LISTEN/NOTIFY is lightweight pub/sub inside postgres. Triggers push events on row change. Combine with periodic MV for heavy aggregates.

PostgresVerse kitchen display

Restaurant chain dashboard updates new order count instantly via NOTIFY.

Outcome: Managers see live throughput without Redis duplicate state.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Describe a real-world scenario where Normalization mattered in a PostgreSQL project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Normaliza…
Junior Detailed
Explain SQL queries in the context of PostgreSQL.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define SQL queri…
Mid Detailed
What are common mistakes teams make with Schema design when using PostgreSQL?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Schema de…
Senior Detailed
How would you debug a production issue related to Transactions in a PostgreSQL application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Transacti…
Mid Detailed
Compare two approaches to Indexing—when would you choose each?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Indexing…
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PostgreSQL Tutorial
Course syllabus

PostgreSQL Tutorial

PostgreSQL — Foundations
PostgreSQL — SQL & Queries
PostgreSQL — Indexing & Performance
PostgreSQL — Transactions & MVCC
PostgreSQL — Functions & Automation
PostgreSQL — JSONB & Modern Features
PostgreSQL — Replication & High Availability
PostgreSQL — Security & Cloud
PostgreSQL — Monitoring & Troubleshooting
PostgreSQL — Real-World Projects
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