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Freezing

As explained in PostgreSQL Mistakes and How to Avoid Them

Tuple freezing is PostgreSQL maintenance that marks sufficiently old row versions as unaffected by transaction ID aging.

PostgreSQL uses tuple freezing to prevent transaction ID (XID) wraparound. VACUUM marks sufficiently old row versions as frozen, identifying them as definitively past and outside the current XID space. section 6.6.1

Without timely freezing, an old tuple can become indistinguishable from a future transaction after roughly 2.15 billion XIDs. PostgreSQL then launches noninterruptible anti-wraparound autovacuum, potentially slowing the system severely. section 6.6.1

Operational practices reduce the chance that automatic freezing falls behind:

  • Batch commits when atomicity permits; a batch size of 1000 can reduce the application’s XID burn rate to about one-thousandth of its previous level. section 6.6.2
  • Tune autovacuum to work more aggressively when heavy OLTP activity burns through XIDs faster than routine maintenance can freeze tuples. section 6.6.2
  • Investigate idle-in-transaction sessions because they can hold back the XID horizon and defer freezing of old rows. section 6.6.1
  • Review whether high-volume data must remain in PostgreSQL; discard unused ingestion data or resample it before storage when appropriate. section 6.6.2

A high-throughput workload

An OLTP application can consume billions of XIDs quickly by committing every operation separately. Before automatic freezing falls behind, reorganize incoming work into batches—such as 1000 operations per commit—and make autovacuum more aggressive where necessary. section 6.6.2

Figure 6.3 Depiction of PostgreSQL’s transaction IDs as a circular space
figure

Use the circular XID-space diagram to understand why sufficiently old tuples can resemble future transactions and why freezing removes that ambiguity. section 6.6.1

How PostgreSQL Mistakes and How to Avoid Them covers it

How deep it goes
Explains XID ambiguity, frozen tuple status, anti-wraparound autovacuum, and delaying sessions without detailing implementation internals.
Examples
Uses heavy OLTP workloads, billion-XID burn rates, 1000-operation commit batches, and circular XID-space visualization.
What you can do after
Diagnose XID burn-rate risks, recognize anti-wraparound autovacuum, batch commits, and tune autovacuum to improve freezing.
How it connects
Connects tuple freezing with VACUUM, autovacuum, XID wraparound, transaction batching, and idle-in-transaction sessions.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of PostgreSQL Mistakes and How to Avoid Them. The section links point to the parts of the book it draws on.