Migrations
Published 16 November 2022
Migrations
Overview
With Flyway all changes to the database are called migrations. Migrations can be either versioned or repeatable. Versioned migrations come in 2 forms: regular and undo.
Versioned migrations have a version, a description and a checksum. The version must be unique. The description is purely informative for you to be able to remember what each migration does. The checksum is there to detect accidental changes. Versioned migrations are the most common type of migration. They are applied in order exactly once.
Optionally their effect can be undone by supplying an undo migration with the same version.
Repeatable migrations have a description and a checksum, but no version. Instead of being run just once, they are (re-)applied every time their checksum changes.
Within a single migration run, repeatable migrations are always applied last, after all pending versioned migrations have been executed. Repeatable migrations are applied in the alphanumeric order of their description.
By default both versioned and repeatable migrations can be written either in SQL or in Java and can consist of multiple statements.
A short summary:
Migration Type | Category | Example |
---|---|---|
SQL | Versioned | V2__Add_new_table.sql |
SQL | Versioned (Undo) | U2__Add_new_table.sql |
SQL | Repeatable | R__Add_new_table.sql |
Java | Versioned | V2__Add_new_table.java |
Java | Repeatable | R__Add_new_table.java |
Script | Versioned | V1__execute_batch_tool.ps1 |
Script | Repeatable | R__execute_batch_tool.ps1 |
Flyway automatically discovers migrations on the filesystem and on the Java classpath.
To keep track of which migrations have already been applied when and by whom, Flyway adds a schema history table to your schema.
Versioned Migrations
The most common type of migration is a versioned migration. Each versioned migration has a version, a description and a checksum. The version must be unique. The description is purely informative for you to be able to remember what each migration does. The checksum is there to detect accidental changes. Versioned migrations are applied in order exactly once.
Versioned migrations are typically used for:
- Creating/altering/dropping tables/indexes/foreign keys/enums/UDTs/...
- Reference data updates
- User data corrections
Here is a small example:
CREATE TABLE car (
id INT NOT NULL PRIMARY KEY,
license_plate VARCHAR NOT NULL,
color VARCHAR NOT NULL
);
ALTER TABLE owner ADD driver_license_id VARCHAR;
INSERT INTO brand (name) VALUES ('DeLorean');
Each versioned migration must be assigned a unique version. Any version is valid as long as it conforms to the usual dotted notation. For most cases a simple increasing integer should be all you need. However Flyway is quite flexible and all these versions are valid versioned migration versions:
- 1
- 001
- 5.2
- 1.2.3.4.5.6.7.8.9
- 205.68
- 20130115113556
- 2013.1.15.11.35.56
- 2013.01.15.11.35.56
Versioned migrations are applied in the order of their versions. Versions are sorted numerically as you would normally expect.
Undo Migrations
Undo migrations are the opposite of regular versioned migrations. An undo migration is responsible for undoing the effects of the versioned migration with the same version. Undo migrations are optional and not required to run regular versioned migrations.
For the example above, this is how the undo migration would look like:
DELETE FROM brand WHERE name='DeLorean';
ALTER TABLE owner DROP driver_license_id;
DROP TABLE car;
Important Notes
While the idea of undo migrations is nice, unfortunately it sometimes breaks down in practice. As soon as you have destructive changes (drop, delete, truncate, ...), you start getting into trouble. And even if you don't, you end up creating home-made alternatives for restoring backups, which need to be properly tested as well.
Undo migrations assume the whole migration succeeded and should now be undone. This does not help with failed versioned migrations on databases without DDL transactions. Why? A migration can fail at any point. If you have 10 statements, it is possible for the 1st, the 5th, the 7th or the 10th to fail. There is simply no way to know in advance. In contrast, undo migrations are written to undo an entire versioned migration and will not help under such conditions.
An alternative approach which we find preferable is to maintain backwards compatibility between the DB and all versions of the code currently deployed in production. This way a failed migration is not a disaster. The old version of the application is still compatible with the DB, so you can simply roll back the application code, investigate, and take corrective measures.
This should be complemented with a proper, well tested, backup and restore strategy. It is independent of the database structure, and once it is tested and proven to work, no migration script can break it. For optimal performance, and if your infrastructure supports this, we recommend using the snapshot technology of your underlying storage solution. Especially for larger data volumes, this can be several orders of magnitude faster than traditional backups and restores.
Repeatable Migrations
Repeatable migrations have a description and a checksum, but no version. Instead of being run just once, they are (re-)applied every time their checksum changes.
This is very useful for managing database objects whose definition can then simply be maintained in a single file in version control. They are typically used for
- (Re-)creating views/procedures/functions/packages/...
- Bulk reference data reinserts
Within a single migration run, repeatable migrations are always applied last, after all pending versioned migrations have been executed. Repeatable migrations are applied in the order of their description.
It is your responsibility to ensure the same repeatable migration can be applied multiple times. This usually
involves making use of CREATE OR REPLACE
clauses in your DDL statements.
Here is an example of what a repeatable migration looks like:
CREATE OR REPLACE VIEW blue_cars AS
SELECT id, license_plate FROM cars WHERE color='blue';
SQL-based migrations
Migrations are most commonly written in SQL. This makes it easy to get started and leverage any existing scripts, tools and skills. It gives you access to the full set of capabilities of your database and eliminates the need to understand any intermediate translation layer.
SQL-based migrations are typically used for
- DDL changes (CREATE/ALTER/DROP statements for TABLES,VIEWS,TRIGGERS,SEQUENCES,...)
- Simple reference data changes (CRUD in reference data tables)
- Simple bulk data changes (CRUD in regular data tables)
Naming
In order to be picked up by Flyway, SQL migrations must comply with the following naming pattern:
Versioned Migrations
Prefix Separator Suffix
V2__Add_new_table.sql
Version Description
Undo Migrations
Prefix Separator Suffix
U2__Add_new_table.sql
Version Description
Repeatable Migrations
Prefix Separator Suffix
R__Add_new_table.sql
Description
The file name consists of the following parts:
- Prefix:
V
for versioned (configurable),U
for undo (configurable) andR
for repeatable migrations (configurable) - Version: Version with dots or underscores separate as many parts as you like (Not for repeatable migrations)
- Separator:
__
(two underscores) (configurable) - Description: Underscores or spaces separate the words
- Suffix:
.sql
(configurable)
Optionally versioned SQL migrations can also omit both the separator and the description.
The configuration option validateMigrationNaming
determines how Flyway handles files that do not correspond with
the naming pattern when carrying out a migration: if false then Flyway will simply ignore all such files, if true then
Flyway will fail fast and list all files which need to be corrected.
Discovery
Flyway discovers SQL-based migrations from one or more directories referenced by the locations
property.
- Unprefixed locations or locations with the
classpath:
prefix target the Java classpath. - Locations with the
filesystem:
prefix search the file system. - Locations with the
s3:
prefix search AWS S3 buckets. To use AWS S3, the AWS SDK v2 and dependencies must be included, and configured for your S3 account. - Locations with the
gcs:
prefix search Google Cloud Storage buckets. To use GCS, the GCS library must be included, and the GCS environment variableGOOGLE_APPLICATION_CREDENTIALS
must be set to the credentials file for the service account that has access to the bucket.
my-project src main resources db migrationclasspath:db/migration
R__My_view.sql U1.1__Fix_indexes.sql U2__Add a new table.sql V1__Initial_version.sql V1.1__Fix_indexes.sql V2__Add a new table.sql my-other-folderfilesystem:/my-project/my-other-folder
U1.2__Add_constraints.sql V1.2__Add_constraints.sql
New SQL-based migrations are discovered automatically through filesystem and Java classpath scanning at runtime.
Once you have configured the locations
you want to use, Flyway will
automatically pick up any new SQL migrations as long as they conform to the configured naming convention.
This scanning is recursive. All migrations in non-hidden directories below the specified ones are also picked up.
Syntax
Flyway supports all regular SQL syntax elements including:
- Single- or multi-line statements
- Single- (--) or Multi-line (/* */) comments spanning complete lines
- Database-specific SQL syntax extensions (PL/SQL, T-SQL, ...) typically used to define stored procedures, packages, ...
Additionally in the case of Oracle, Flyway also supports SQL*Plus commands.
Placeholder Replacement
In addition to regular SQL syntax, Flyway also supports placeholder replacement with configurable pre- and suffixes.
By default it looks for Ant-style placeholders like ${myplaceholder}
. This can be very useful to abstract differences between environments.
See Placeholders.
Java-based migrations
Java-based migrations are a great fit for all changes that can not easily be expressed using SQL.
These would typically be things like
- BLOB & CLOB changes
- Advanced bulk data changes (Recalculations, advanced format changes, ...)
Note: Java-based migrations are not currently supported by Native Connectors.
Naming
In order to be picked up by Flyway, Java-based Migrations must implement the
JavaMigration
interface. Most users
however should inherit from the convenience class BaseJavaMigration
instead as it encourages Flyway's default naming convention, enabling Flyway to automatically extract the version and
the description from the class name. To be able to do so, the class name must comply with the following naming pattern:
Versioned Migrations
Prefix Separator
V2__Add_new_table
Version Description
Undo Migrations
Prefix Separator
U2__Add_new_table
Version Description
Repeatable Migrations
Prefix Separator
R__Add_new_table
Description
The class name consists of the following parts:
- Prefix:
V
for versioned migrations,U
for undo migrations,R
for repeatable migrations - Version: Underscores (automatically replaced by dots at runtime) separate as many parts as you like (Not for repeatable migrations)
- Separator:
__
(two underscores) - Description: Underscores (automatically replaced by spaces at runtime) separate the words
If you need more control over the class name, you can override the default convention by implementing the
JavaMigration
interface directly.
This will allow you to name your class as you wish. Version, description and migration category are provided by implementing the respective methods.
Discovery
Flyway discovers Java-based migrations on the Java classpath in the packages referenced by the
locations
property.
my-project
src
main
java
db
migration classpath:db/migration
R__My_view
U1_1__Fix_indexes
V1__Initial_version
V1_1__Fix_indexes
pom.xml
New java migrations are discovered automatically through classpath scanning at runtime. The scanning is recursive. Java migrations in subpackages of the specified ones are also picked up.
Checksums and Validation
Unlike SQL migrations, Java migrations by default do not have a checksum and therefore do not participate in the
change detection of Flyway's validation. This can be remedied by implementing the
getChecksum()
method, which you can then use to provide your own checksum, which will then be
stored and validated for changes.
Sample Class
package db.migration;
import org.flywaydb.core.api.migration.BaseJavaMigration;
import org.flywaydb.core.api.migration.Context;
import java.sql.PreparedStatement;
/**
* Example of a Java-based migration.
*/
public class V1_2__Another_user extends BaseJavaMigration {
public void migrate(Context context) throws Exception {
try (PreparedStatement statement =
context
.getConnection()
.prepareStatement("INSERT INTO test_user (name) VALUES ('Obelix')")) {
statement.execute();
}
}
}
Take care that your Java migration does not close the database connection, either explicitly or as a result of a try-with-resources statement.
Spring
If your application already uses Spring and you do not want to use JDBC directly you can easily use Spring JDBC's
JdbcTemplate
instead:
package db.migration;
import org.flywaydb.core.api.migration.BaseJavaMigration;
import org.flywaydb.core.api.migration.Context;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.jdbc.datasource.SingleConnectionDataSource;
/**
* Example of a Java-based migration using Spring JDBC.
*/
public class V1_2__Another_user extends BaseJavaMigration {
public void migrate(Context context) {
new JdbcTemplate(new SingleConnectionDataSource(context.getConnection(), true))
.execute("INSERT INTO test_user (name) VALUES ('Obelix')");
}
}
Script migrations
Sometimes it may be more desirable to use a scripting language for migrations. Flyway currently supports the .ps1
, .bat
, .cmd
, .sh
, .bash
, .py
file extensions as migrations, and on non-windows platforms it also supports migrations without extensions (assuming a valid shebang).
Note: Script migrations are not currently supported by Native Connectors.
These migrations follow the same naming scheme as SQL migrations, with only the file extension being different. For example V1__execute_batch_tool.ps1
is a valid migration.
Script migrations can be used for a number of tasks such as:
- Triggering execution of a 3rd party application as part of the migrations (such as a batch upload tool)
- Cleaning up local files (such as those created by SQL*Plus SPOOL)
Script Placeholder Replacement
Flyway also supports script placeholder replacement with configurable pre- and suffixes. Script placeholders can be read through environment variables in your chosen scripting language.
See Script Placeholders.
Important notes
On linux, if executing an extensionless migration that is not set to be executable, Flyway will attempt to set the file to be executable before running it.
The migration checksum is only calculated for the migration itself, not for any files it references or loads.
Transactions
Flyway wraps the execution of each migration script in a single transaction and applies them in order. For example, if I have 3 pending migrations on my target, calling flyway migrate
looks like:
- Execute V001
If success, commit and continue; else rollback (if possible) and stop - do not process any further pending migrations
- Execute V002
If success, commit and continue; else rollback (if possible) and stop - do not process any further pending migrations
- Execute V003
If success, commit and continue; else rollback (if possible) and stop - do not process any further pending migrations
Alternatively, for certain databases, for each migrate
, you can configure Flyway to wrap the execution of all pending migrations in a single transaction by setting the group
property to true
. This would look like:
Begin a transaction
Execute V001
Execute V002
Execute V003
End transaction
If there are errors at any point, rollback to the starting point and stop processing.
If Flyway detects that a specific statement cannot be run within a transaction due to technical limitations of your database, it won't run that migration within a transaction. Instead, it will be marked as non-transactional.
If the group
property is set to true, then transactional and non-transactional statements cannot be mixed within a
migration run. You can allow this by setting the mixed
property to true
. Note that
this is only applicable for PostgreSQL, Aurora PostgreSQL, SQL Server and SQLite which all have statements that do not
run at all within a transaction. This is not to be confused with implicit transactions, as they occur in MySQL or Oracle,
where even though a DDL statement was run within a transaction, the database will issue an implicit commit before and after
its execution.
Manual override
If necessary, you can manually determine whether or not to execute a migration in a transaction. This is useful for databases like PostgreSQL and SQL Server where certain statements can only execute outside a transaction.
For Java migrations, the JavaMigration
interface has a method canExecuteInTransaction
. This determines whether the execution
should take place inside a transaction. You can rely on BaseJavaMigration
's default behavior to return true
or override
canExecuteInTransaction
to execute certain migrations outside a transaction by returning false
.
For SQL migrations, you can specify the script configuration property executeInTransaction
. See Script config.
Important Note
If your database cleanly supports DDL statements within a transaction, failed migrations will always be rolled back (unless they were marked as non-transactional).
If on the other hand your database does NOT cleanly supports DDL statements within a transaction (by for example issuing an implicit commit before and after every DDL statement), Flyway won't be able to perform a clean rollback in case of failure and will instead mark the migration as failed, indicating that some manual cleanup may be required. You may also need to run repair to remove the failed migration entry from the schema history table.
Query Results
Migrations are primarily meant to be executed as part of release and deployment automation processes and there is rarely the need to visually inspect the result of SQL queries.
There are however some scenarios where such manual inspection makes sense, and therefore Flyway will display query results in the usual tabular form when a SELECT
statement (or any other statement that returns results) is executed.
Toggling query results
To prevent Flyway from displaying query results, set the configuration option outputQueryResults
to false
.
Schema History Table
To keep track of which migrations have already been applied when and by whom, Flyway adds a special schema history table to your schema. You can think of this table as a complete audit trail of all changes performed against the schema. It also tracks migration checksums and whether or not the migrations were successful.
Schema creation
By default, Flyway will attempt to create the schemas provided by the schemas
and defaultSchema
configuration options. This behavior can be toggled with the createSchemas
configuration option.
This might be useful when you want complete control over how schemas are created.
The createSchemas
option and the Schema History Table
Flyway requires a schema for the schema history table to reside in before running a migration. When createSchemas
is false
, it will be impossible for the schema history table to be created, unless a schema already exists for it to reside in.
So, given a configuration like this:
flyway.createSchemas=false
flyway.schemas=my_schema
The following can happen if createSchemas
is false
:
- Run migrate
my_schema
is not created by Flyway- Because
my_schema
is the default schema, Flyway attempts to create the schema history table inmy_schema
my_schema
does not exist, so the operation fails
Therefore, when toggling createSchemas
to false
, the following setup is recommended:
- Set the default schema to
flyway_history_schema
- Either by setting
defaultSchema
, or placing it first in theschemas
configuration option
- Either by setting
- Set
initSql
to createflyway_history_schema
if it doesn't exist - Place your other schemas in the
schemas
property
So, given a configuration like this:
flyway.createSchemas=false
flyway.initSql=CREATE IF NOT EXISTS flyway_history_schema
flyway.schemas=flyway_history_schema,my_schema
The following will happen:
- Run migrate
initSql
is executed, soflyway_history_schema
is created- Because
flyway_history_schema
is the default schema, Flyway attempts to create the schema history table inflyway_history_schema
my_schema
is not created by Flyway- Migrations run as normal
- Migrations are free to control creation of
my_schema
Migration States
State | Description |
---|---|
Pending |
This migration has not been applied yet |
Success |
This migration succeeded |
Ignored |
This migration will not be considered when running migrate |
Deleted |
This is a migration that has been marked as deleted by repair |
Available |
This undo migration is ready to be applied if desired |
Undone |
This versioned migration succeeded but has since been undone |
Above Target |
This migration has not been applied yet and won't be applied because target is set to a lower version |
Baseline |
This migration has baselined this DB |
Below Baseline |
This migration was not applied against this DB because the schema history table was baselined with a higher version |
Missing |
This migration succeeded and could not be resolved |
Failed (Missing) |
This migration failed and could not be resolved |
Failed |
This migration failed |
Failed (Future) |
This migration failed and its version is higher than the schema history table's current version |
Future |
This migration succeeded and its version is higher than the current highest resolved migration. This may be missing from your local environment |
Out of Order |
This migration succeeded but it was applied out of order. Rerunning the entire migration history might produce different results! |
Outdated |
This is a repeatable migration that is outdated and should be re-applied |
Superseded |
This is a repeatable migration that is outdated and has already been superseded by a newer one |