Yes. PostgreSQL logical replication can feed a reporting database, and PostgreSQL lists analytical consolidation as a use case. It is a good fit when you need selected tables or data across major versions and can manage schema changes, initial copying, and replication lag separately. It is not an automatic database clone or a failover-ready standby.
When logical replication fits a reporting workload
Logical replication copies existing rows from a publisher snapshot, then continuously sends and applies subsequent changes in publisher order. It is table-oriented: you can publish a subset of a database rather than maintain a whole-cluster copy. Keep replicated tables read-only to reporting applications where possible; local writes to those tables can conflict with incoming changes.
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| Design choice | What it copies | What to plan for |
|---|---|---|
| Logical replication | Selected tables, including partitioned tables; subscriptions can connect across PostgreSQL major versions. | Schema coordination, initial table synchronization, row identity, slot retention, and apply conflicts. |
| Physical standby | A cluster-level copy by replaying WAL. | Recovery conflicts, WAL retention, and standby freshness. It is a different operational model from selecting tables for reporting. |
Choose logical replication when selective data and subscriber flexibility matter more than having a whole-cluster standby. Choose a physical standby when the reporting or recovery design needs a cluster-level copy. Neither choice provides a freshness guarantee by itself; measure the lag your workload can tolerate.
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As the PostgreSQL 18 documentation puts it, “The database schema and DDL commands are not replicated.” Subscriber tables must already exist. PostgreSQL matches tables by fully qualified name and columns by name, not column order. In some cases it can convert between text-representable types; binary transfer is more restrictive. Extra subscriber columns receive their declared defaults, and views are not replication targets.
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Coordinate schema changes separately
A publisher change can make incoming data incompatible with the subscriber and stop apply until the target schema is corrected. A commonly safer rollout is to add compatible subscriber-side columns or structures first, change the publisher second, and remove old forms only after the stream and readers no longer need them. This is an operational pattern, not a guarantee for every migration; validate compatibility for the change you are making.
Sequences need their own plan
Replicated inserts carry serial or identity column values as table data, but do not advance the underlying sequence on the subscriber. This usually does not affect a strictly read-only reporting node. If you may promote it or allow writes, synchronize sequence state separately before relying on it as a writable server.
What happens during the initial copy
Creating or refreshing a subscription can copy all existing rows for a table. Do not assume publication operation filters limit this baseline: those filters govern ongoing DML, not the initial table copy. Row-filter behavior during initialization also needs attention; PostgreSQL’s architecture documentation describes cases where another unfiltered publication for a table results in all rows being copied initially.
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PostgreSQL uses table-synchronization workers and temporary table-copy slots for this phase, then hands each table to the main apply worker. Budget for the copy’s publisher reads, subscriber writes, network traffic, and worker capacity. After synchronization, verify the subscriber’s contents against the intended reporting scope rather than inferring completeness from the publication’s DML filters.
Updates and deletes require a usable row identity
For published updates and deletes, PostgreSQL needs to identify the target row. A primary key is the default. An eligible unique index can also serve as identity. Before publishing tables, inventory those without a primary key or another stable, suitable identity.
REPLICA IDENTITY FULL is a fallback that uses the whole row as identity. PostgreSQL warns that subscriber-side row searches can be inefficient without a suitable index. It is not a cost-free shortcut for a reporting workload with frequent updates or deletes. When the publisher uses a non-FULL identity, the subscriber must have an identity containing the same or fewer columns. Tables without an applicable identity cannot successfully apply published updates or deletes.
Reporting objects and partitioned tables need extra design
Only tables, including partitioned tables, can be replicated. Views, materialized views, and foreign tables are not targets. Create view definitions separately on the subscriber, and decide how derived or materialized reporting data will be built or refreshed there or in a downstream analytics layer.
By default, changes to partitioned data originate at publisher leaf partitions, which must map to valid target tables on the subscriber. The version-dependent publish_via_partition_root option can instead publish using the root table’s identity and schema. Also review truncate behavior when foreign-key-connected tables are split across subscriptions: a replicated truncate can fail on the subscriber if the related tables are not all in the same subscription.
How apply conflicts can stop or silently miss changes
Constraint violations and permission problems can stop replication and require manual resolution. Some missing-row cases for updates or deletes are skipped rather than reported as errors, so a running worker alone does not prove row-for-row parity. Check subscriber logs and conflict statistics as part of operations.
Apply uses the subscription owner’s privileges. Review that owner’s rights, target-table grants, and row-level security before cutover. PostgreSQL documents that applicable row-level security on target tables can cause conflicts regardless of what a policy would normally permit.
Avoid using transaction skipping as a routine repair. ALTER SUBSCRIPTION ... SKIP or advancing the replication origin can skip an entire transaction, including changes that would not themselves conflict. Use either only after understanding the transaction and planning reconciliation; otherwise the subscriber can diverge from the publisher.
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Check subscription workers and logs together
On the subscriber, inspect pg_stat_subscription alongside subscription state and server logs. An enabled subscription ordinarily has an apply process in the view. A disabled or crashed subscription has no row, while initial synchronization and parallel apply can add workers; interpret the view in that context.
Locate where WAL progress is falling behind
Compare publisher WAL send progress with subscriber receive and replay progress to narrow the bottleneck. A widening gap from current WAL to sent position can point to publisher load; sent versus received can point to network delay or subscriber load; received or flushed versus replayed can point to apply falling behind. These stages are described in PostgreSQL’s physical streaming replication guidance, so use them as diagnostic clues rather than a complete logical-replication lag recipe.
Watch logical slots and WAL headroom
A publisher slot retains WAL needed by its consumer. If a subscriber becomes unreachable, an abandoned or stalled slot can retain WAL until addressed, and enough retained WAL can fill pg_wal. Review slots after subscription teardown or host migration, but do not drop a slot until you understand the consumer and its recovery needs.
Plan capacity and a safe rollout
For the PostgreSQL 18 documentation set, configuration planning includes wal_level = logical, publisher slot and WAL sender capacity, and subscriber origin and logical-worker capacity, with room for table synchronization. Worker processes are shared with other features and extensions, so size them for the cluster rather than treating a single subscription as the only consumer. The PostgreSQL documentation available on October 7, 2026 identified major versions 14 through 18 as supported at that time; check the deployed version and hosting provider for available options and limits.
Quick Recap
- Choose the topology. Decide whether the report needs selected tables or a whole-cluster standby, and set an acceptable freshness target.
- Prepare the subscriber. Create target tables and compatible schemas; check table identities, permissions, row-level security, partition mappings, and reporting objects.
- Plan the baseline. Estimate the impact of copying existing rows, confirm the intended initial contents, and allocate synchronization workers and disk headroom.
- Deploy schema changes in coordination. Keep publisher and subscriber compatible as changes roll out; treat sequence synchronization as a separate step if the subscriber might become writable.
- Operate and recover deliberately. Monitor subscription state, logs, conflicts, progress, slots, and disk space. Resolve conflicts with an understanding of the affected transaction and verify data after recovery.
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