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Before changing a production column, identify what the database will do
The migration API describes the schema change; it does not determine whether the database can apply it online. Before writing the migration, establish the Laravel version, database engine and server version, current and desired column definitions, table size, indexes and constraints, and which application releases may run during deployment.
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Inspect existing values as well as the schema. A type conversion can fail or change meaning if stored values do not fit the new type. Changing nullability or a default can affect existing data or concurrent writes depending on the engine and operation. Test the exact change against representative data, and monitor execution time, lock waits, replication lag, and application errors.
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Adding a column with Laravel
Use Schema::table to alter an existing table. For example, Laravel 13 documents this MySQL pattern for a nullable column:
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Schema::table('users', function (Blueprint $table) {
$table->string('name')->nullable()->instant();
});instant() asks MySQL to use the instant algorithm for supported column operations; it is not a guarantee that every add-column operation is instant or nonblocking. Laravel’s documentation says an incompatible operation raises a database error. With MySQL, instant additions append the column to the end of the table and cannot be combined with after or first. Check the exact operation against the manual for the deployed MySQL release: MySQL 8.4 InnoDB online DDL operations.
Laravel 13 also documents MySQL lock() controls: none, shared, exclusive, and default. These request a lock mode; they do not make an unsupported combination work. The database can reject a requested mode or operation. Confirm both algorithm and lock support for the exact DDL and server version.
Changing a column with change()
For a column-definition change, use change() inside Schema::table:
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$table->string('name', 50)->change();
});When calling change(), restate every modifier you intend to retain. Laravel warns that omitted attributes are dropped. For instance, a definition that must keep its unsigned property, default, and comment should express them again:
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Schema::table('users', function (Blueprint $table) {
$table->integer('votes')
->unsigned()
->default(1)
->comment('Vote count')
->change();
});Review indexes separately: changing a column and changing its indexes are distinct schema operations. Laravel’s online() index modifier concerns online index creation on PostgreSQL and SQL Server; it is not a general online-column-change switch.
On PostgreSQL, Laravel’s using() modifier can provide an expression to cast existing values during a type change. Choose the expression based on the actual data, then assess whether the operation rewrites the table or indexes. PostgreSQL 13.23 documents that some type changes cause table and index rewrites, with exceptions; constraint verification can also take a long time and block updates. Confirm the behavior in documentation for the deployed release, rather than assuming PostgreSQL 13.23 guidance applies unchanged: PostgreSQL 13.23 documentation.
Use expand and contract when releases cannot change together
A direct alteration may be reasonable when the operation is supported and its locking and rewrite behavior are acceptable. When a change is incompatible with deployed code, or its DDL risk is unclear, split it across releases so old and new application versions can tolerate the transition.
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- Expand: Add compatible structure, such as a nullable new column, without removing the old one.
- Deploy compatible code: Release application code that can operate while both schema shapes exist. If necessary, write to both forms during the transition.
- Backfill in bounded work: Populate the new structure in manageable batches rather than coupling a potentially large data update to one schema migration.
- Validate and switch: Check that the new data is complete and correct, then move reads and writes to the new form.
- Contract later: Remove the obsolete column or constraint only after no deployed code depends on it.
This staged approach is an operational strategy, not a Laravel guarantee. Its purpose is to avoid requiring the database and every application instance to change atomically.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Run migrations safely across deployment servers
If more than one server may start migrations during deployment, Laravel’s php artisan migrate --isolated uses the configured cache to prevent simultaneous migration attempts, provided all servers share a supported cache. It coordinates migration runners; it does not make the DDL online, reduce a rewrite, or remove database locks.
Regardless of runner coordination, validate the migration on representative data and observe its behavior before production. Do not infer safety from a successful run on an empty development database.
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Laravel migration checklist for production column changes
- Match the example to the Laravel version actually installed; the current documentation cited here is Laravel 13.x: Laravel database migrations.
- Confirm the database engine and exact server version, then check the operation’s documented algorithm, lock, rewrite, and constraint behavior.
- For
change(), restate modifiers that must survive and inspect indexes independently. - Check existing values and conversion semantics, and test with representative data.
- Make application releases compatible with the intermediate schema when they overlap.
- Observe duration, lock waits, replication lag, and application errors; no universal table-size threshold or downtime estimate applies to every engine and alteration.
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