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Choose the migration based on what existing rows should contain. If every old row should get the same value, PostgreSQL 11 and later can add a column with a non-volatile constant default without immediately rewriting the table. If the value must be derived separately for each row, add the column as nullable and backfill it in controlled batches before enforcing NOT NULL. PostgreSQL 18 also lets you enforce a NOT NULL constraint before validating existing rows; PostgreSQL 17 does not document that syntax.

Which migration approach fits your data?

Before choosing SQL, answer two questions: what value is correct for rows that already exist, and what should happen to writes made while the migration is underway? A fast schema change is not a substitute for giving historical rows the right meaning.

Approach Use it when Main trade-off
Non-volatile constant default Every existing row should have the same value, and the server is PostgreSQL 11 or later. The add-column operation can avoid an immediate rewrite, but the value must be semantically correct for all old rows. A volatile default follows a per-row path. PostgreSQL: Modifying Tables
Nullable column, batched backfill, then SET NOT NULL Existing rows need distinct or computed values, or a single default would misrepresent them. The backfill performs real write work; batch size, pacing, retry handling, and monitoring must fit the workload. PostgreSQL does not prescribe a universally safe batch size. PostgreSQL 18: ALTER TABLE
NOT NULL NOT VALID, then validate You run PostgreSQL 18 and need to enforce non-nullness on new writes before checking all existing rows. Validation still scans existing rows, and the relevant lock behavior must be planned. PostgreSQL 18 Release Notes
Valid CHECK, then SET NOT NULL You need a staged route on PostgreSQL 17, whose documented NOT VALID support covers CHECK and foreign-key constraints, not NOT NULL. The check must be validated first. PostgreSQL 17 documents that a valid check proving no null can exist lets SET NOT NULL skip its own table scan. PostgreSQL 17: ALTER TABLE

Also confirm what concurrent inserts should receive. An application writer, a future default, or an early database constraint may be needed so new or changed rows do not introduce nulls while older rows are being repaired.

When a constant default is the right choice

PostgreSQL 11 introduced a fast path for adding a column with a constant default. For a non-volatile default, PostgreSQL can record the value in metadata for existing rows rather than immediately rewriting every row. When those rows are read, PostgreSQL returns the recorded value; it is materialized physically if the table is rewritten later. This can make the schema change very fast, but it is not a guarantee about total migration time or workload impact. PostgreSQL: Modifying Tables

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Use this path only if that one value is actually correct for every historical row. For example, a uniform, valid state assigned to all old records may fit; a value that should reflect each record’s creation time, owner, or other row-specific facts does not.

Volatile defaults change the cost profile. PostgreSQL’s documentation gives clock_timestamp() as an example: it must be calculated for each row, so adding a column with that default requires per-row work rather than the constant-default metadata path. Changing a column’s default later affects future inserts, not the values already represented for old rows. PostgreSQL: Modifying Tables

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For a uniform value, the conceptual operation is:

ALTER TABLE target_table
  ADD COLUMN new_column desired_type DEFAULT 'appropriate_value' NOT NULL;

Replace the table, type, and value with your actual schema and data semantics. Check the deployed major-version manual and rehearse the operation on a representative environment.

When historical rows need different values

Do not use an arbitrary placeholder merely to obtain a quick DDL change. Add the column nullable, ensure application writers handle it, backfill existing rows with the correct row-specific expression, and enforce non-nullness once no nulls remain.

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  1. Add the nullable column: ALTER TABLE target_table ADD COLUMN new_column desired_type;
  2. Prepare writers: deploy application changes that populate new_column on new or changed rows, or establish an appropriate future default if that matches the data model.
  3. Backfill in bounded batches: update subsets of existing rows using the correct row-specific expression. Choose batch size and pacing for the table and workload; the PostgreSQL manual provides no universal safe value.
  4. Check completion: verify that no rows remain null before applying the final rule.
  5. Enforce non-nullness: run ALTER TABLE target_table ALTER COLUMN new_column SET NOT NULL;, or use the PostgreSQL 18 staged constraint route below if early enforcement is required.

This is a schematic outline, not a ready-made batch job. The update predicate, transaction boundaries, retry behavior, and pacing depend on the table and application. Monitor the actual migration, including workload effects and replication lag where relevant.

How to stage enforcement with NOT VALID

NOT VALID separates enforcement for subsequent writes from verification of rows already in the table. PostgreSQL says that adding a NOT VALID constraint skips the initial scan; subsequent inserts and updates are checked, and a later validation checks the pre-existing rows. Validation scans the table and takes a SHARE UPDATE EXCLUSIVE lock. PostgreSQL 18: ALTER TABLE

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PostgreSQL 18: NOT NULL constraint first

PostgreSQL 18 supports adding a not-null constraint as not valid and validating it later. This lets the database reject nulls from subsequent writes while historical rows are still being checked:

ALTER TABLE target_table
  ADD CONSTRAINT target_table_new_column_nn
  NOT NULL new_column NOT VALID;

ALTER TABLE target_table
  VALIDATE CONSTRAINT target_table_new_column_nn;

Use the syntax in the manual for the deployed major version and test it against the actual environment. Adding the constraint does not fill in historical nulls; they must already be absent by validation time.

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PostgreSQL 17: validated CHECK as the bridge

PostgreSQL 17 documents NOT VALID for check and foreign-key constraints. For a non-null rule, a check constraint can enforce future writes while old rows are brought into compliance, then be validated before setting the column attribute:

ALTER TABLE target_table
  ADD CONSTRAINT target_table_new_column_nn_check
  CHECK (new_column IS NOT NULL) NOT VALID;

ALTER TABLE target_table
  VALIDATE CONSTRAINT target_table_new_column_nn_check;

ALTER TABLE target_table
  ALTER COLUMN new_column SET NOT NULL;

PostgreSQL 17 documents that a valid check constraint proving no null can exist can allow SET NOT NULL to skip its table scan. This is not the same syntax as PostgreSQL 18’s not-valid not-null constraint. PostgreSQL 17: ALTER TABLE

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Plan for scans and locks, not just SQL syntax

Do not describe these migrations as lock-free. PostgreSQL documents lock modes for validation, and most forms of adding a table constraint require an ACCESS EXCLUSIVE lock, with a foreign-key exception. The exact lock requirements depend on the operation and server version. A skipped initial scan can reduce the work performed during constraint installation, but it does not mean the operation takes no lock or that later validation is costless. PostgreSQL 18: ALTER TABLE

  • Confirm the server major version and syntax before deploying, especially if using NOT VALID on a not-null constraint.
  • Rehearse on a representative environment and assess the operation’s lock behavior alongside the backfill workload.
  • Set operational timeouts appropriate to your deployment and have a response plan for a migration that waits too long for a lock.
  • Monitor progress, application impact, and replication lag during the actual work. Official documentation explains behavior and lock modes but does not establish a duration, row-count threshold, or safe batch size for a particular table.

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