Metagration: PostgreSQL Migrator in PostgreSQL

Metagration is a PostgreSQL migration tool written in PostgreSQL.

Metagration "up/down" scripts are stored procedures and applied in-database by the database. Creating and managing metagrations and actually running them are completely decoupled. Metagrations can be managed like any other data in your database using whatever favorite tool you are already familar with. Metagration has support for 100% of PostgreSQL's features, because it is PostgreSQL.

Up/Down scripts are stored procedures in any pl language.
No external tools, any PostgreSQL client can manage metagrations.
Cloud-friendly single ~400 line SQL file for any PostgreSQL >= 11.
One simple function for new SQL scripts.
Procedures can be transactional, and transaction aware.
Generates Point In Time Recovery restore points before migration.
Metagrations can export/import to/from SQL files.
Metagrations are just rows so pg_dump/pg_restore them.
Can use pgTAP for powerful migration verification.
Postgres docker container entrypoint friendly.

Intro

Metagrations are DDL change scripts wrapped in PostgreSQL stored procedures run in a specific order either "up" or "down". A metagration is a script defined entirely within the database, there is no external migration tool or language.

Metagration scripts are what move the database from one revision to the next. Forward metagration runs the "up" procedure, and backward metagration runs the "down" procedure to undo the "up" operation. Script procedures can be written in any supported stored procedure language. Metagration strictly enforces the revision order of the scripts applied.

Metagration comes with a simple create function for writing fast up and down scripts in plpgsql, which often look exactly like their SQL counterparts:

# SELECT metagration.new_script(
      'CREATE TABLE public.foo (id bigserial)',
      'DROP TABLE public.foo'
      );
 new_script
--------
      1

This creates a new revision 1. The function metagration.new_script(up[, down]) expands the up and down code into dynamically created plpgsql functions. Once the script is created, it can then be run with metagration.run()

# CALL metagration.run();
# \dt
        List of relations
 Schema | Name | Type  |  Owner
--------+------+-------+----------
 public | foo  | table | postgres

Now add another script with an unfortunate table name to be reverted:

# SELECT metagration.new_script(
    'CREATE TABLE public.bad (id bigserial)',
    'DROP TABLE public.bad
    );
 new_script
--------
      2
# CALL metagration.run();
# \dt
        List of relations
 Schema | Name | Type  |  Owner
--------+------+-------+----------
 public | foo  | table | postgres
 public | bad  | table | postgres

Now revision 2 can be reverted by calling metagration.run() with a specific target revision, in this case back to 1, and the bad table gets dropped:

postgres=# CALL metagration.run(1);
# \dt
        List of relations
 Schema | Name | Type  |  Owner
--------+------+-------+----------
 public | foo  | table | postgres

The current, previous, and next revisions can be queried:

# SELECT metagration.previous_revision();
 previous_revision
------------------
                 0
# SELECT metagration.current_revision();
 current_revision
-----------------
                1
# SELECT metagration.next_revision();
 next_revision
--------------
             2

Metagrations can also be run with a relative revision parameter passed as a text string:

CALL metagration.run('1');  -- go forward one revision
CALL metagration.run('-3');  -- go back three revisions

A log of all migrations, their start and end revisions, times, and restore points are stored in the metagration.log table:

# SELECT * FROM metagration.log ORDER BY migration_start;
 revision_start | revision_end |        migration_start        |         migration_end         | txid |           restore_point           | restore_point_lsn
----------------+--------------+-------------------------------+-------------------------------+------+-----------------------------------+-------------------
              0 |            1 | 2020-05-13 23:13:02.830335+00 | 2020-05-13 23:13:02.831964+00 |  505 | 0|1|2020-05-13|23:13:02.830335+00 | 0/183F408
              1 |            3 | 2020-05-13 23:13:02.841926+00 | 2020-05-13 23:13:02.8432+00   |  505 | 1|3|2020-05-13|23:13:02.841926+00 | 0/1841A20
              3 |            4 | 2020-05-13 23:13:02.846628+00 | 2020-05-13 23:13:02.847429+00 |  505 | 3|4|2020-05-13|23:13:02.846628+00 | 0/1844730
              4 |            1 | 2020-05-13 23:13:02.848043+00 | 2020-05-13 23:13:02.850642+00 |  505 | 4|1|2020-05-13|23:13:02.848043+00 | 0/18459C0
              1 |            4 | 2020-05-13 23:13:02.852157+00 | 2020-05-13 23:13:02.858205+00 |  505 | 1|4|2020-05-13|23:13:02.852157+00 | 0/1846790

Before each metagration a recovery restore point is created with pg_create_restore_point and can be used for Point In Time Recovery to the point just before the migration and other recovery tasks. The current transaction id is also saved.

Dynamic Metagrations

Metagration scripts are stored procedures, and can be fully dynamic in terms of the SQL they execute when run. To facilitate this, the run() function accepts an optional args jsonb argument that is passed to each script when run. This allows scripts to respond to dynamic variables at run time.

For plpgsql scripts built with new_script, optional local variable declarations can also be provided, in the following example, the index variable i in the FOR loops are declared in the up_declare and down_declare parameters to new_script() shown here:

SELECT new_script(
$up$
    FOR i IN (SELECT * FROM generate_series(1, (args->>'target')::bigint, 1)) LOOP
        EXECUTE format('CREATE TABLE %I (id serial)', 'forks_' || i);
    END LOOP
$up$,
$down$
    FOR i IN (SELECT * FROM generate_series(1, (args->>'target')::bigint, 1)) LOOP
        EXECUTE format('DROP TABLE %I', 'forks_' || i);
    END LOOP
$down$,
    up_declare:='i bigint',
    down_declare:='i bigint'
    );

To run, pass an integer value for the target jsonb key in args:

# CALL metagration.run(args:=jsonb_build_object('target', 3));
# \dt+
                      List of relations
 Schema |  Name   | Type  |  Owner   |  Size   | Description 
--------+---------+-------+----------+---------+-------------
 public | forks_1 | table | postgres | 0 bytes | 
 public | forks_2 | table | postgres | 0 bytes | 
 public | forks_3 | table | postgres | 0 bytes |

If your up script depends on args, it's likely your down scripts do too. Pass them as well to revert or, get the args used in the up migration from the migration.log table where they are saved.

# CALL metagration.run('-1', args:=jsonb_build_object('target', 3));
# \dt+
                      List of relations
 Schema |  Name   | Type  |  Owner   |  Size   | Description 
--------+---------+-------+----------+---------+-------------

# SELECT migration_args FROM metagration.log 
  WHERE revision_end = metagration.current_revision() 
  ORDER BY migration_end DESC LIMIT 1;
  
 migration_args 
----------------
 {"target": 3}
(1 row)

Import and Exporting

The obvious question is, if metagrations are stored procedures that makes DDL changes, who CREATEs the metagrations? They can be created programatically as shown above with new_script, or they can be import and exported using any SQL client or tool.

You can still check your metagrations into source control and stream them into a new database when you initialize it, then call metagrate.run().

Because metagrations are in-database, they are dumped and restored when the database is backed up.

Since this process is decoupled from the actual migration, it can be done using any of the many database management tools for PostgreSQL. Because metagration scripts are stored procedures, they are stateless database objects that can be exported, imported, dropped and re-created as necessary.

A helpful tool for doing this metagration.export(). The export() function will generate SQL script file that CREATE OR REPLACEs the migration scripts. Simply capture the output of this function, for example with:

psql -A -t -U postgres -c 'select metagration.export()' > export_file.sql

And then check it in to your source control. The scripts can then be imported with psql or any other PostgreSQL client:

psql < export_file.sql

This will import all the migrations but not run them, for that you still call metagration.run() or pass run_migrations:=true as shown below.

If metagration.export(replace_scripts:=true) is called the generated script will truncate the script and log tables and re-insert all the exported scripts.

If metagration.export(transactional:=true) the generated script will wrap itself in BEGIN/COMMIT.

If metagration.export(run_migrations:=true) the generated script will run the migrations immediately after inserting them.

Docker Entrypoint

Metagrations can be used easily from the standard postgres docker container entry point directory. The SQL code dumped from export(run_migrations:=true) (see above) can be dropped into the /docker-entrypoint-initdb.d/ directory in the container and the migrations will be inserted and automatically run when the new container is initialized.

How does it work?

Metagration scripts are stored procedures run in revision order. This means that revision 2 is always run after 1, and before 3 when migrating forward, and the opposite when going backwards. It is not possible to insert "in between" two existing revisions, even if their revisions are not consecutive. A BEFORE INSERT trigger enforces that new scripts must have a revision > max(revision) for all existing scripts. While you can disable this trigger to bulk import revisions you will be responsible for their revision order being correct.

When a script is created with metagration.new_script() the up and down code are substituted into the body dynamically generated plpgsql procedure. You don't have to use new_script(), a script can be written in any supported language that can write stored procedures, such as python and javascript.