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If you like Reshape, you might be interested in Specific, a complete cloud platform designed for coding agents. It includes special support for Reshape and will automatically handle the zero-downtime migration procedure for deployments.

Reshape is an easy-to-use, zero-downtime schema migration tool for Postgres. It automatically handles complex migrations that would normally require downtime or manual multi-step changes. During a migration, Reshape ensures both the old and new schema are available at the same time, allowing you to gradually roll out your application. It will also perform all changes without excessive locking, avoiding downtime caused by blocking other queries. For a more thorough introduction to Reshape, check out the introductory blog post.

Designed for Postgres 12 and later.

• How it works
• Getting started
  • Installation
  • Creating your first migration
  • Preparing your application
  • Running your migration
  • Using during development
  • Using with coding agents
• Writing migrations
  • Basics
  • Tables
    • Create table
    • Rename table
    • Remove table
    • Add foreign key
    • Remove foreign key
    • Add check
    • Remove check
  • Columns
    • Add column
    • Alter column
    • Remove column
  • Indices
    • Add index
    • Remove index
  • Enums
    • Create enum
    • Remove enum
  • Custom
  • Complex changes across tables
• Commands and options
  • reshape migration start
  • reshape migration complete
  • reshape migration abort
  • reshape status
  • reshape schema-query
  • reshape docs
  • Connection options
• License

Reshape works by creating views that encapsulate the underlying tables, which your application will interact with. During a migration, Reshape will automatically create a new set of views and set up triggers to translate inserts and updates between the old and new schema. This means that every deployment is a three-phase process:

1. Start migration (reshape migration start): Sets up views and triggers to ensure both the new and old schema are usable at the same time.
2. Roll out application: Your application can be gradually rolled out without downtime. The existing deployment will continue using the old schema whilst the new deployment uses the new schema.
3. Complete migration (reshape migration complete): Removes the old schema and any intermediate data and triggers.

If the application deployment fails, you should run reshape migration abort which will roll back any changes made by reshape migration start without losing data.

Binaries are available for macOS and Linux under Releases.

Reshape can be installed using Cargo (requires Rust 1.58 or later):

cargo install reshape

Reshape is available as a Docker image on Docker Hub.

docker run -v $(pwd):/usr/share/app fabianlindfors/reshape reshape migration start

Each migration should be stored as a separate file in a migrations/ directory. The files can be in either JSON or TOML format and the name of the file will become the name of your migration. We recommend prefixing every migration with an incrementing number as migrations are sorted by file name.

Let's create a simple migration to set up a new table users with two fields, id and name. We'll create a file called migrations/1_create_users_table.toml:

[[actions]]
type = "create_table"
name = "users"
primary_key = ["id"]

	[[actions.columns]]
	name = "id"
	type = "INTEGER"
	generated = "ALWAYS AS IDENTITY"

	[[actions.columns]]
	name = "name"
	type = "TEXT"

This is the equivalent of running CREATE TABLE users (id INTEGER GENERATED ALWAYS AS IDENTITY, name TEXT).

Reshape relies on your application using a specific schema. When establishing the connection to Postgres in your application, you need to run a query to select the most recent schema. The simplest way to do this is to use one of the helper libraries:

• Rust
• Ruby (and Rails)
• Python (and Django)
• Go

If your application is not using one of the languages with an available helper library, you can instead generate the query with the command: reshape schema-query. To pass it along to your application, you can for example use an environment variable in your run script: RESHAPE_SCHEMA_QUERY=$(reshape schema-query). Then in your application:

# Example for Python
reshape_schema_query = os.getenv("RESHAPE_SCHEMA_QUERY")
db.execute(reshape_schema_query)

To create your new users table, run:

reshape migration start --complete

We use the --complete flag to automatically complete the migration. During a production deployment, you should first run reshape migration start followed by reshape migration complete once your application has been fully rolled out.

If nothing else is specified, Reshape will try to connect to a Postgres database running on localhost using postgres as both username and password. See Connection options for details on how to change the connection settings.

When adding new migrations during development, we recommend running reshape migration start but skipping reshape migration complete. This way, the new migrations can be iterated on by updating the migration file and running reshape migration abort followed by reshape migration start.

Reshape is designed to be used with coding agents, so that coding agents can handle the workflow of writing and testing schema migrations during development. To facilitate this, the Reshape CLI includes a reshape docs command that should be used by agents. We recommend adding something like this to your agent's system prompt:

This project uses Reshape to manage Postgres schema migrations with zero-downtime guarantees. Run `reshape docs` to retrieve docs on how to write and manage these migrations.

Every migration consists of one or more actions. The actions will be run sequentially. Here's an example of a migration with two actions to create two tables, customers and products:

[[actions]]
type = "create_table"
name = "customers"
primary_key = ["id"]

	[[actions.columns]]
	name = "id"
	type = "INTEGER"
	generated = "ALWAYS AS IDENTITY"

[[actions]]
type = "create_table"
name = "products"
primary_key = ["sku"]

	[[actions.columns]]
	name = "sku"
	type = "TEXT"

Every action has a type. The supported types are detailed below.

The create_table action will create a new table with the specified columns, indices and constraints. You can optionally provide an up option to backfill values from an existing table.

Example: create a customers table with a few columns and a primary key

[[actions]]
type = "create_table"
name = "customers"
primary_key = ["id"]

	[[actions.columns]]
	name = "id"
	type = "INTEGER"
	generated = "ALWAYS AS IDENTITY"

	[[actions.columns]]
	name = "name"
	type = "TEXT"

	# Columns default to nullable
	nullable = false

	# default can be any valid SQL value, in this case a string literal
	default = "'PLACEHOLDER'"

Example: create users and items tables with a foreign key between them

[[actions]]
type = "create_table"
name = "users"
primary_key = ["id"]

	[[actions.columns]]
	name = "id"
	type = "INTEGER"
	generated = "ALWAYS AS IDENTITY"

[[actions]]
type = "create_table"
name = "items"
primary_key = ["id"]

	[[actions.columns]]
	name = "id"
	type = "INTEGER"
	generated = "ALWAYS AS IDENTITY"

	[[actions.columns]]
	name = "user_id"
	type = "INTEGER"

	[[actions.foreign_keys]]
	columns = ["user_id"]
	referenced_table = "users"
	referenced_columns = ["id"]

	# Optional, one of: NO ACTION (default), RESTRICT, CASCADE, SET NULL, SET DEFAULT
	on_delete = "CASCADE"
	on_update = "CASCADE"

Example: create documents table with check constraints

[[actions]]
type = "create_table"
name = "documents"
primary_key = ["id"]

	[[actions.columns]]
	name = "id"
	type = "INTEGER"
	generated = "ALWAYS AS IDENTITY"

	[[actions.columns]]
	name = "kind"
	type = "TEXT"

	[[actions.columns]]
	name = "data"
	type = "BYTEA"

	[[actions.columns]]
	name = "size_bytes"
	type = "INTEGER"

	[[actions.checks]]
	# Optional, Postgres will generate a name if omitted
	name = "documents_kind_check"
	expression = "kind IN ('invoice', 'receipt')"

	# A check can span multiple columns
	[[actions.checks]]
	name = "documents_size_bytes_check"
	expression = "size_bytes = octet_length(data)"

Example: create profiles table based on existing users table

[[actions]]
type = "create_table"
name = "profiles"
primary_key = ["user_id"]

	[[actions.columns]]
	name = "user_id"
	type = "INTEGER"

	[[actions.columns]]
	name = "user_email"
	type = "TEXT"

	# Backfill from `users` table and copy `users.email` to `user_email` column
	# This will perform an upsert based on the primary key to avoid duplicate rows
	[actions.up]
	table = "users"
	values = { user_id = "id", user_email = "email" }

The rename_table action will change the name of an existing table.

Example: change name of users table to customers

[[actions]]
type = "rename_table"
table = "users"
new_name = "customers"

The remove_table action will remove an existing table.

Example: remove users table

[[actions]]
type = "remove_table"
table = "users"

The add_foreign_key action will add a foreign key between two existing tables. The migration will fail if the existing column values aren't valid references.

Example: create foreign key from items to users table

[[actions]]
type = "add_foreign_key"
table = "items"

	[actions.foreign_key]
	columns = ["user_id"]
	referenced_table = "users"
	referenced_columns = ["id"]

	# Optional, one of: NO ACTION (default), RESTRICT, CASCADE, SET NULL, SET DEFAULT
	on_delete = "CASCADE"
	on_update = "CASCADE"

The remove_foreign_key action will remove an existing foreign key. The foreign key will only be removed once the migration is completed, which means that your new application must continue to adhere to the foreign key constraint.

Example: remove foreign key items_user_id_fkey from users table

[[actions]]
type = "remove_foreign_key"
table = "items"
foreign_key = "items_user_id_fkey"

The add_check action will add a check constraint to an existing table. The migration will fail if any existing rows don't satisfy the check. Once added, the check is enforced for both the old and the new schema, so your existing application must already write rows which satisfy it.

Example: add check that age on users table is not negative

[[actions]]
type = "add_check"
table = "users"

	[actions.check]
	name = "users_age_check"
	expression = "age >= 0"

Example: add check spanning multiple columns

[[actions]]
type = "add_check"
table = "bookings"

	[actions.check]
	name = "bookings_period_check"
	expression = "ends_at > starts_at"

The remove_check action will remove an existing check constraint. The check will only be removed once the migration is completed, which means that your new application must continue to adhere to the check.

Example: remove check users_age_check from users table

[[actions]]
type = "remove_check"
table = "users"
check = "users_age_check"

To replace a check, remove it and add a new one with the same name in the same migration. Both checks are enforced until the migration is completed.

The add_column action will add a new column to an existing table. You can optionally provide an up setting. This should be an SQL expression which will be run for all existing rows to backfill the new column. up may also reference another table to perform cross-table migrations (see "Complex changes across tables").

Example: add a new column reference to table products

[[actions]]
type = "add_column"
table = "products"

	[actions.column]
	name = "reference"
	type = "INTEGER"
	nullable = false
	default = "10"

Example: replace an existing name column with two new columns, first_name and last_name

[[actions]]
type = "add_column"
table = "users"

# Extract the first name from the existing name column
up = "(STRING_TO_ARRAY(name, ' '))[1]"

	[actions.column]
	name = "first_name"
	type = "TEXT"


[[actions]]
type = "add_column"
table = "users"

# Extract the last name from the existing name column
up = "(STRING_TO_ARRAY(name, ' '))[2]"

	[actions.column]
	name = "last_name"
	type = "TEXT"


[[actions]]
type = "remove_column"
table = "users"
column = "name"

# Reconstruct name column by concatenating first and last name
down = "first_name || ' ' || last_name"

Example: extract nested value from unstructured JSON data column to new name column

[[actions]]
type = "add_column"
table = "users"

# #>> '{}' converts the JSON string value to TEXT
up = "data['path']['to']['value'] #>> '{}'"

	[actions.column]
	name = "name"
	type = "TEXT"

Example: duplicate email column from users to profiles table

# `profiles` has `user_id` column which maps to `users.id`
[[actions]]
type = "add_column"
table = "profiles"

	[actions.column]
	name = "email"
	type = "TEXT"
	nullable = false

	# When `users` is updated in the old schema, we write the email value to `profiles`
	[actions.up]
	table = "users"
	value = "users.email"
	where = "profiles.user_id = users.id"

The alter_column action enables many different changes to an existing column, for example renaming, changing type and changing existing values.

When performing more complex changes than a rename, up and down should be provided. These should be SQL expressions which determine how to transform between the new and old version of the column. Inside those expressions, you can reference the current column value by the column name.

Example: rename last_name column on users table to family_name

[[actions]]
type = "alter_column"
table = "users"
column = "last_name"

	[actions.changes]
	name = "family_name"

Example: change the type of reference column from INTEGER to TEXT

[[actions]]
type = "alter_column"
table = "users"
column = "reference"

up = "CAST(reference AS TEXT)" # Converts from integer value to text
down = "CAST(reference AS INTEGER)" # Converts from text value to integer

	[actions.changes]
	type = "TEXT" # Previous type was 'INTEGER'

Example: increment all values of an index column by one

[[actions]]
type = "alter_column"
table = "users"
column = "index"

up = "index + 1" # Increment for new schema
down = "index - 1" # Decrement to revert for old schema

	[actions.changes]
	name = "index"

Example: make name column not nullable

[[actions]]
type = "alter_column"
table = "users"
column = "name"

# Use "N/A" for any rows that currently have a NULL name
up = "COALESCE(name, 'N/A')"

	[actions.changes]
	nullable = false

Example: change default value of created_at column to current time

[[actions]]
type = "alter_column"
table = "users"
column = "created_at"

	[actions.changes]
	default = "NOW()"

The remove_column action will remove an existing column from a table. You can optionally provide a down setting. This should be an SQL expression which will be used to determine values for the old schema when inserting or updating rows using the new schema. down may also reference another table to perform cross-table migrations (see "Complex changes across tables") . The down setting must be provided when the removed column is NOT NULL or doesn't have a default value.

Any indices that cover the column will be removed.

Example: remove column name from table users

[[actions]]
type = "remove_column"
table = "users"
column = "name"

# Use a default value of "N/A" for the old schema when inserting/updating rows
down = "'N/A'"

Example: remove email column from users table and use column from profiles table instead

[[actions]]
type = "remove_column"
table = "users"
column = "email"

	# Our application will use the `profiles.email` column instead
	# For backwards compatibility, we will write back to the removed `email` column whenever `profiles` is changed
	[actions.down]
	table = "profiles"
	value = "profiles.email"
	where = "users.id = profiles.user_id"

The add_index action will add a new index to an existing table.

Example: create a users table with a unique index on the name column

[[actions]]
type = "create_table"
name = "users"
primary_key = "id"

	[[actions.columns]]
	name = "id"
	type = "INTEGER"
	generated = "ALWAYS AS IDENTITY"

	[[actions.columns]]
	name = "name"
	type = "TEXT"

[[actions]]
type = "add_index"
table = "users"

	[actions.index]
	name = "name_idx"
	columns = ["name"]

	# Defaults to false
	unique = true

Example: add a partial index with a custom sort order to the posts table

[[actions]]
type = "add_index"
table = "posts"

	[actions.index]
	name = "posts_keyset_idx"

	# An entry is either a plain column name or a table with more detail.
	# The entries are indexed in the order they are declared.
	columns = [
		"audience",
		{ column = "content_updated_at", direction = "DESC", nulls = "LAST" },
		"id",
	]

	# Optional, makes the index partial. Written without the WHERE keyword
	where = "is_public AND shared_to_community"

Example: add a unique index on an expression to the users table

[[actions]]
type = "add_index"
table = "users"

	[actions.index]
	name = "users_email_idx"
	columns = [{ expression = "lower(email)" }]
	unique = true

Example: add GIN index to data column on products table

[[actions]]
type = "add_index"
table = "products"

	[actions.index]
	name = "data_idx"
	columns = ["data"]

	# One of: btree (default), hash, gist, spgist, gin, brin
	type = "gin"

The remove_index action will remove an existing index. The index won't actually be removed until the migration is completed.

Example: remove the name_idx index

[[actions]]
type = "remove_index"
index = "name_idx"

The create_enum action will create a new enum type with the specified values.

Example: add a new mood enum type with three possible values

[[actions]]
type = "create_enum"
name = "mood"
values = ["happy", "ok", "sad"]

The remove_enum action will remove an existing enum type. Make sure all usages of the enum has been removed before running the migration. The enum will only be removed once the migration is completed.

Example: remove the mood enum type

[[actions]]
type = "remove_enum"
enum = "mood"

The custom action lets you create a migration which runs custom SQL. It should be used with great care as it provides no guarantees of zero-downtime and will simply run whatever SQL is provided. Use other actions whenever possible as they are explicitly designed for zero downtime.

There are three optional settings available which all accept SQL queries. All queries need to be idempotent, for example by using IF NOT EXISTS wherever available.

• start: run when a migration is started using reshape migration start
• complete: run when a migration is completed using reshape migration complete
• abort: run when a migration is aborted using reshape migration abort

Example: enable PostGIS and pg_stat_statements extensions

[[actions]]
type = "custom"

start = """
	CREATE EXTENSION IF NOT EXISTS postgis;
	CREATE EXTENSION IF NOT EXISTS pg_stat_statements;
"""

abort = """
	DROP EXTENSION IF EXISTS postgis;
	DROP EXTENSION IF EXISTS pg_stat_statements;
"""

The up and down options available when creating tables, adding columns and removing columns can also perform more complex changes that span tables.

Example: move email column from users to profiles table

[[actions]]
type = "add_column"
table = "profiles"

	[actions.column]
	name = "email"
	type = "TEXT"
	nullable = false

	# When `users` is updated in the old schema, we write the email value to `profiles`
	[actions.up]
	table = "users"
	value = "users.email"
	where = "profiles.user_id = users.id"

[[actions]]
type = "remove_column"
table = "users"
column = "email"

	# When `profiles` is changed in the new schema, we write the email address back to the removed column
	[actions.down]
	table = "profiles"
	value = "profiles.email"
	where = "users.id = profiles.user_id"

Example: turn a 1:N relationship between users and accounts into N:M and change the format of the associated role

# Add `user_account_connections` as a junction table
[[actions]]
type = "create_table"
name = "user_account_connections"
primary_key = ["account_id", "user_id"]

	[[actions.columns]]
	name = "account_id"
	type = "INTEGER"

	[[actions.columns]]
	name = "user_id"
	type = "INTEGER"

	# `role` is currently stored directly on the `users` table but is part of the relationship
	[[actions.columns]]
	name = "role"
	type = "TEXT"
	nullable = false

	# Backfill the new table from `users` and uppercase the `role`
	[actions.up]
	table = "users"
	values = { user_id = "id", account_id = "account_id", role = "UPPER(account_role)" }
	where = "user_account_connections.user_id = users.id"

[[actions]]
type = "remove_column"
table = "users"
column = "account_id"

	# When `user_account_connections` is updated, we write the `account_id` back to `users`
	[actions.down]
	table = "user_account_connections"
	value = "user_account_connections.account_id"
	where = "users.id = user_account_connections.user_id"

[[actions]]
type = "remove_column"
table = "users"
column = "account_role"

	# When `user_account_connections` is updated, we write the lowercase role back to `users`
	[actions.down]
	table = "user_account_connections"
	value = "LOWER(user_account_connections.role)"
	where = "users.id = user_account_connections.user_id"

Starts a new migration, applying all migrations under migrations/ that haven't yet been applied. After the command has completed, both the old and new schema will be usable at the same time. When you have rolled out the new version of your application which uses the new schema, you should run reshape migration complete.

See also Connection options

Completes migrations previously started with reshape migration complete.

See Connection options

Aborts any migrations which haven't yet been completed.

See Connection options

Checks the current migration status against the database. This command will show:

• The current status (idle, applying, in_progress, completing, or aborting)
• Any migrations currently in progress
• The latest completed migration

# Human-readable output (default)
reshape status

# JSON output for scripts and automation
reshape status --format json

JSON output schema:

See also Connection options

Generates the SQL query you need to run in your application before using the database. This command does not require a database connection. Instead it will generate the query based on the latest migration in the migrations/ directory (or the directories specified by --dirs).

The query should look something like SET search_path TO migration_1_initial_migration.

We recommend using one of the helper libraries if available for your language to simplify this:

• Rust
• Ruby (and Rails)
• Python (and Django)
• Go

Displays built-in documentation for Reshape, designed for use by coding agents to write and run schema migrations during development.

# Show overview documentation
reshape docs

# Show specific documentation section (available paths are referenced in docs)
reshape docs /workflow
reshape docs /migrations/actions
reshape docs /migrations/actions/add-column

The options below can be used with all commands that communicate with Postgres. Use either a connection URL or specify each connection option individually.

All options can also be set using environment variables instead of flags. If a .env file exists, then variables will be automatically loaded from there.

Reshape is released under the MIT license.