PostgreSQL Real-Time Data Streaming: Publications, Slots, and Sequin
This guide explains the architecture of real-time data synchronization in PostgreSQL, focusing on Logical Replication, Replication Slots, and how modern tools like Sequin leverage these features to build event-driven systems.
1. Logical Replication Fundamentals
PostgreSQL offers two types of replication: Physical and Logical. For data streaming and CDC (Change Data Capture), we use Logical Replication.
What is a Publication?
A Publication is a node on the Primary database that defines which tables and changes (INSERT, UPDATE, DELETE) should be broadcasted.
- Scope: You can publish all tables or a specific subset.
- Granularity: You can choose to publish only specific operations.
-- Create a publication for specific tables
CREATE
PUBLICATION my_app_publication FOR TABLE users, orders;
-- Create a publication for all tables
CREATE
PUBLICATION all_tables_pub FOR ALL TABLES;
2. The Role of Replication Slots
While a Publication defines what is sent, a Replication Slot manages how it is delivered and ensures no data is lost.
Why do we need Slots?
In PostgreSQL, transaction logs (WAL - Write Ahead Logs) are recycled periodically. If a consumer (like Sequin) goes offline, the logs it needs might be deleted.
A Replication Slot ensures:
- Persistence: Tells the Primary DB: "Do not delete these logs until the consumer confirms receipt."
- Cursor Management: Keeps track of the LSN (Log Sequence Number), acting as a pointer to where the consumer last stopped.
Warning: If a consumer stays offline for too long, the Replication Slot will cause WAL files to accumulate, potentially filling up the Primary server's disk.
3. Enter Sequin: The Modern Bridge
Sequin is an open-source Change Data Capture (CDC) tool that connects to your PostgreSQL database and streams changes to external targets like Webhooks, SQS, Kafka or Redis.
How Sequin Uses the Stack
- Subscription: Sequin connects to a PostgreSQL Publication.
- State Tracking: It creates its own Logical Replication Slot to ensure it never misses a single database event.
- Transformation: It converts the internal PostgreSQL binary stream into easy-to-use JSON payloads.
Architecture Flow: PostgreSQL (Table) -> Publication -> Replication Slot -> Sequin -> Your API/App
4. Configuration & Setup Checklist
To use this architecture, your postgresql.conf must be configured as follows:
# Required for Logical Replication and Sequin
wal_level = logical
max_replication_slots = 10
max_wal_senders = 10
Useful Monitoring Queries
Check active publications:
SELECT *
FROM pg_publication;
Monitor replication slots and lag:
SELECT slot_name,
active,
restart_lsn,
pg_size_pretty(pg_current_wal_lsn() - restart_lsn) AS replication_lag
FROM pg_replication_slots;
Conclusion
By combining Publications for data selection, Replication Slots for reliability, and Sequin for delivery, you can transform your static PostgreSQL database into a powerful, real-time event source.