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Logical Replication

Understand how PostgreSQL's publish/subscribe logical replication decodes row-level changes for selective replication, zero-downtime upgrades, and cross-version data movement.

Replication & ScalingAdvanced10 min readJul 10, 2026
Analogies

Logical Replication Fundamentals

Logical replication decodes the write-ahead log into a stream of logical changes — inserts, updates, deletes, and truncates on specific tables — using the pgoutput plugin built into PostgreSQL since version 10, rather than shipping raw physical WAL blocks. Because it operates at the level of individual rows and table names instead of disk pages, it can replicate a subset of tables, work between databases running different (but compatible) major PostgreSQL versions, and even feed non-PostgreSQL consumers via custom decoding plugins, none of which physical streaming replication can do.

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Cricket analogy: It is like a scorer's ball-by-ball text commentary feed that describes 'Kohli hits a four through covers' rather than broadcasting the raw video signal — the same event, translated into a portable, selective format anyone can subscribe to.

Publications and Subscriptions

On the source (publisher) database, CREATE PUBLICATION defines which tables (or all tables) to expose, optionally filtered to specific DML operations via WITH (publish = 'insert, update'). On the target (subscriber) database, CREATE SUBSCRIPTION connects to the publisher, performs an initial data copy of the published tables via COPY, and then continues streaming ongoing changes. Each subscription runs its own logical replication worker process, and multiple subscriptions can pull from the same or different publications, enabling fan-out or consolidation topologies that physical replication cannot express.

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Cricket analogy: It is like a broadcaster setting up a dedicated regional feed (the publication) covering only certain matches, which a local cable operator (the subscription) then taps into, first replaying the full match archive before joining the live feed.

sql
-- On the publisher database
CREATE PUBLICATION orders_pub
  FOR TABLE orders, order_items
  WITH (publish = 'insert, update, delete');

-- On the subscriber database
CREATE SUBSCRIPTION orders_sub
  CONNECTION 'host=publisher.db.internal dbname=shop user=repl_user password=...'
  PUBLICATION orders_pub
  WITH (copy_data = true, create_slot = true, slot_name = 'orders_sub_slot');

-- Check status
SELECT subname, received_lsn, latest_end_lsn FROM pg_stat_subscription;

Use Cases: Selective Replication and Upgrades

Because logical replication is table-selective and version-flexible, it is the standard technique for performing near-zero-downtime major version upgrades: you stand up a new cluster on the target PostgreSQL version, subscribe it to the old cluster's publications, let it catch up, then cut application traffic over once lag reaches zero. It's equally useful for feeding a subset of tables (say, just the tables a reporting team needs) into a separate analytics database without exposing the full production schema, or for consolidating changes from several regional databases into a single central warehouse.

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Cricket analogy: It is like a franchise relocating its entire operations to a new stadium mid-season by first mirroring only the fixtures and squad data (not the old stadium's seating charts) to the new venue's systems, cutting over once fully synced.

Logical replication does not automatically propagate DDL (schema changes like ALTER TABLE or CREATE INDEX). You must apply schema changes manually on the subscriber, typically before the corresponding change is made on the publisher, or use tooling that coordinates this for you. Forgetting this is one of the most common causes of a broken subscription.

Conflict Handling and Limitations

Logical replication does not replicate sequences, large objects, or most DDL, and by default a subscriber applies changes without any real conflict detection — if a subscriber-side row was modified independently of the publisher, an incoming UPDATE or DELETE can fail or silently diverge depending on the situation, and PostgreSQL 16+ adds conflict logging to at least surface these. For UPDATE and DELETE to work correctly, the publisher table needs a REPLICA IDENTITY (by default the primary key); tables without a primary key must be set to REPLICA IDENTITY FULL, which replicates the entire old row for matching, at a real performance cost.

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Cricket analogy: It is like two scorers independently correcting the same over's tally after a DRS overturn — without a clear protocol for whose correction wins, the two scorebooks can quietly disagree, which is why the official scorer (replica identity) is designated as the tiebreaker.

REPLICA IDENTITY FULL is required for any published table without a primary key (or a suitable unique index), but it forces PostgreSQL to include the entire old row image in every UPDATE/DELETE WAL record and requires the subscriber to do a full table scan to find matching rows if no usable index exists — this can severely degrade write throughput on wide tables. Prefer adding a primary key over relying on REPLICA IDENTITY FULL wherever possible.

  • Logical replication decodes WAL into row-level insert/update/delete/truncate events via the pgoutput plugin, unlike physical streaming replication.
  • It supports table-selective replication and cross-major-version replication, making it the standard tool for near-zero-downtime upgrades.
  • CREATE PUBLICATION on the source and CREATE SUBSCRIPTION on the target establish the replication link, with an automatic initial data copy.
  • DDL is not replicated automatically — schema changes must be applied manually and coordinated with care.
  • Sequences and large objects are not replicated by logical replication and need separate handling.
  • REPLICA IDENTITY (default: primary key) determines how updated/deleted rows are matched on the subscriber; tables without a primary key need REPLICA IDENTITY FULL at a performance cost.
  • Conflict handling is limited by default; PostgreSQL 16+ improves conflict visibility but applications should still avoid concurrent independent writes to subscriber tables.

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