postgresql-simple-migration: PostgreSQL Schema Migrations

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A PostgreSQL-simple schema migration utility


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Versions [RSS] 0.1.0.0, 0.1.1.0, 0.1.2.0, 0.1.3.0, 0.1.5.0, 0.1.6.0, 0.1.7.0, 0.1.8.0, 0.1.9.0, 0.1.10.1, 0.1.11.0, 0.1.12.0, 0.1.13.0, 0.1.13.1, 0.1.14.0, 0.1.15.0
Change log Changelog.markdown
Dependencies base (>=4.6 && <5.0), base64-bytestring (>=1.0 && <1.1), bytestring (>=0.10 && <0.11), cryptohash (>=0.11 && <0.12), directory (>=1.2 && <1.3), postgresql-simple (>=0.4 && <0.6), text (>=1.2 && <1.3), time (>=1.4 && <1.6) [details]
License BSD-3-Clause
Copyright 2014-2016, Andreas Meingast
Author Andreas Meingast <ameingast@gmail.com>
Maintainer Andreas Meingast <ameingast@gmail.com>
Category Database
Home page https://github.com/ameingast/postgresql-simple-migration
Bug tracker https://github.com/ameingast/postgresql-simple-migration/issues
Source repo head: git clone git://github.com/ameingast/postgresql-simple-migration
Uploaded by ameingast at 2016-02-28T17:53:22Z
Distributions NixOS:0.1.15.0
Reverse Dependencies 1 direct, 0 indirect [details]
Executables migrate
Downloads 11641 total (30 in the last 30 days)
Rating 1.75 (votes: 1) [estimated by Bayesian average]
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Status Docs available [build log]
Last success reported on 2016-02-28 [all 1 reports]

Readme for postgresql-simple-migration-0.1.5.0

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PostgreSQL Migrations for Haskell

Build Status

Welcome to postgresql-simple-migrations, a tool for helping you with PostgreSQL schema migrations.

This project is an open-source database migration tool. It favors simplicity over configuration.

It is implemented in Haskell and uses the (excellent) postgresql-simple library to communicate with PostgreSQL.

It comes in two flavors: a library that features an easy to use Haskell API and as a standalone application.

Database migrations can be written in SQL (in this case PostgreSQL-sql) or in Haskell.

Why?

Database migrations should not be hard. They should be under version control and documented in both your production systems and in your project files.

What?

This library executes SQL/Haskell migration scripts and keeps track of their meta information.

Scripts are be executed exactly once and any changes to scripts will cause a run-time error notifying you of a corrupted database.

The meta information consists of:

  • an MD5 checksum of the executed script to make sure already existing scripts cannot be modified in your production system.
  • a time-stamp of the date of execution so you can easily track when a change happened.

This library also supports migration validation so you can ensure (some) correctness before your application logic kicks in.

How?

This utility can be used in two ways: embedded in your Haskell program or as a standalone binary.

Standalone

The standalone program supports file-based migrations. To execute all SQL-files in a directory $BASE_DIR, execute the following command to initialize the database in a first step.

CON="host=$host dbname=$db user=$user password=$pw"
./dist/build/migrate/migrate init $CON
./dist/build/migrate/migrate migrate $CON $BASE_DIR

To validate already executed scripts, execute the following:

CON="host=$host dbname=$db user=$user password=$pw"
./dist/build/migrate/migrate init $CON
./dist/build/migrate/migrate validate $CON $BASE_DIR

For more information about the PostgreSQL connection string, see: libpq-connect.

Library

The library supports more actions than the standalone program.

Initializing the database:

main :: IO ()
main = do
    let url = "host=$host dbname=$db user=$user password=$pw"
    con <- connectPostgreSQL (BS8.pack url)
    withTransaction con $ runMigration $
        MigrationContext MigrationInitialization True con

For file-based migrations, the following snippet can be used:

main :: IO ()
main = do
    let url = "host=$host dbname=$db user=$user password=$pw"
    let dir = "."
    con <- connectPostgreSQL (BS8.pack url)
    withTransaction con $ runMigration $
        MigrationContext (MigrationDirectory dir) True con

To run Haskell-based migrations, use this:

main :: IO ()
main = do
    let url = "host=$host dbname=$db user=$user password=$pw"
    let name = "my script"
    let script = "create table users (email varchar not null)";
    con <- connectPostgreSQL (BS8.pack url)
    withTransaction con $ runMigration $
        MigrationContext (MigrationScript name script) True con

Validations wrap MigrationCommands. This means that you can re-use all MigrationCommands to perform a read-only validation of your migrations.

To perform a validation on a directory-based migration, you can use the following code:

main :: IO ()
main = do
    let url = "host=$host dbname=$db user=$user password=$pw"
    con <- connectPostgreSQL (BS8.pack url)
    withTransaction con $ runMigration $ MigrationContext
        (MigrationValidation (MigrationDirectory dir)) True con

Database migrations should always be performed in a transactional context.

The standalone binary takes care of proper transaction handling automatically.

The library does not make any assumptions about the current transactional state of the system. This means that the caller of the library has to take care of opening/closing/rolling-back transactions. This way you can execute multiple migration-commands or validations in sequence while still staying in the transaction you opened.

The tests make use of this. After executing all migration-tests, the transaction is rolled back.

Compilation and Tests

The program is built with the cabal build system. The following command builds the library, the standalone binary and the test package.

cabal configure --enable-tests && cabal build -j

To execute the tests, you need a running PostgreSQL server with an empty database called test. Tests are executed through cabal as follows:

cabal configure --enable-tests && cabal test

To build the project in a cabal sandbox, use the following code:

cabal sandbox init
cabal install -j --only-dependencies --enable-tests --disable-documentation
cabal configure --enable-tests
cabal test

To remove the generated cabal sandbox, use:

cabal sandbox delete

To Do

  • Collect executed scripts and check if already executed scripts have been deleted.