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Engineers who regularly manage the creation of scripts to update the schema in a postgresql database.
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Engineers who want to simplify and/or standardize how other team members contribute schema changes to a postgresql database.
Schema Evolution Manager makes it very simple for engineers to contribute schema changes to a postgresql database, managing the schema evolutions as proper source code. Schema changes are deployed as gzipped tarballs named with the corresponding git tag.
To apply schema changes to a particular database, download a tarball and use sem to figure out which scripts have not yet been applied, then apply those scripts in chronological order.
sem provides well tested, simple tools to manage the process of creating and applying schema upgrade scripts to databases in all environments.
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scripts are automatically named with a timestamp assigned at time of creation
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all scripts applied to the postgresql database are recorded in the table schema_evolution_manager.scripts - making it simple to see what has been applied if needed.
sem contains only tools for managing schema evolutions. The basic idea is that you create one git repository for each of your databases then use sem to manage the schema evolution of each database.
At Gilt Groupe, we have used sem since early 2012 and have observed an increase in the reliability of our production schema deploys across dozens of independent postgresql databases.
See INSTALLATION and GETTING STARTED for details.
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Absolutely minimal set of dependencies. We found that anything more complex led developers to prefer to manage their own schema evolutions. We prefer small sets of scripts that each do one thing well.
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Committed to true simplicity - features that would add complexity are not added. We hope that more advanced features might be built on top of schema evolution manager.
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Works for ALL applications - schema management is a first class task now so any application framework can leverage these migration tools.
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No rollback. We have found in practice that rolling back schema changes is not 100% reliable. Therefore we intentially do NOT support rollback. This is an often debated element of sem, and although the design itself could be easily extended to support rollback, we currently have no plans to do so.
In place of rollback, we prefer to keep focus on the criticalness of schema changes, encouraging peer review and lots of smaller evolutions that themselves are relatively harmless.
This stems from the idea that we believe schema evolutions are fundamentally risky. We believe the best way to manage this risk is to:
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Treat schema evolution changes as normal software releases as much as possible
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Manage schema versions as simple tarballs - artifacts are really important because they provide 100% reproducibility. This means the exact same artifacts can be applied in development then QA and finally production environments.
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Isolate schema changes as their own deploy. This then guarantees that every other application itself can be rolled back if needed. In practice, we have seen greater risk when applications couple code changes with schema changes.
This last point bears some more detail. By fundamentally deciding to manage and release schema changes independent of application changes:
- Schema changes are required to be incremental. For example, to rename a column takes 4 separate, independent production deploys:
a. add new column
b. deploy changes in application to use old and new column
c. remove old column
d. deploy changes in application to use only new column
Though at first this may seem more complex, each individual change itself is smaller and lower risk.
- It is worth repeating that all application deploys can now be rolled back. This has been a huge win for our teams.
First presented at PGDay NYC 2013: https://speakerdeck.com/mbryzek/schema-evolutions-at-gilt-groupe
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Ruby: Most testing against 1.8.7; 1.9.x and 2.0.0 are supported and should work
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Postgres: Only tested against 9.x. We minimize use of advanced features and should work against 8.x series. If you try 8.x and run into problems, please let us know so we can update.
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plpgsql must be available in the database. If needed you can:
createlang plpgsql template1 [http://www.postgresql.org/docs/8.4/static/app-createlang.html]
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Git: Designed to use git for history. Most testing against git 1.7. At Gilt Groupe, we additionally use Gerrit Code Review [https://code.google.com/p/gerrit/] to have a very nice workflow for code review of all schema changes.
git clone git://github.com/gilt/schema-evolution-manager.git
cd schema-evolution-manager
git checkout 0.9.11
ruby ./configure.rb
sudo ./install.rb
git init /tmp/sample
sem-init --dir /tmp/sample --name sample_development --user postgres
cd /tmp/sample
echo "create table tmp_table (id integer)" > new.sql
sem-add ./new.sql
cd /tmp/sample
createdb sample_development
sem-apply --host localhost --name sample_development --user postgres
git commit -m "Adding a new tmp table to test sem process" scripts
cd /tmp/sample
sem-dist
If you already have a tag:
sem-dist --tag 0.0.2
You will now have a single artifict - /tmp/sample/dist/sample-0.0.2.tar.gz - that you can manage in standard deploy process. At Gilt Groupe, we upload these artifacts to nexus and then deploy in production by downloading from nexus. scp/rsync work fine as well.
scp /tmp/sample/dist/sample-0.0.2.tar.gz <your server>:~/
ssh <your server>
tar xfz sample-0.0.2.tar.gz
cd sample-0.0.2
sem-apply --host localhost --name sample_production --user postgres --dry_run
You will likely see a number of create table statements (see data model section below). You should also see:
[DRY RUN] Applying 20130318-214407.sql
which tells you that if you apply these changes, that sql script will be applied to the sample_production db
sem-apply --host localhost --name sample_production --user postgres
You will see:
Upgrading schema for postgres@localhost/sample_production
Applying 20130318-214407.sql
Attempt to apply again:
sem-apply --host localhost --name sample_production --user postgres
You will see:
Upgrading schema for postgres@localhost/sample_production
All scripts have been previously applied
sem will create a new postgresql schema in your database named 'schema_evolution_manager'
psql sample_development
set search_path to schema_evolution_manager;
\dt
Schema | Name | Type | Owner
-------------+-------------------+-------+----------
schema_evolution_manager | bootstrap_scripts | table | postgres
schema_evolution_manager | scripts | table | postgres
Each of these tables has a column named 'filename' which keeps track of the sql files applied to each database.
- The scripts table is used for your application.
- The bootstrap_scripts table is used to manage upgrades to the sem application itself.
For details on these tables, see scripts/*sql where the tables themselves are defined.
We've included a copy of the schema conventions we practice at Gilt Groupe [CONVENTIONS.md]. There are also a number of utility plpgsql functions to help developers apply these conventions in a systematic way.
The helpers are defined in
scripts/20130318-105456.sql
We have found these utilities incredibly useful - and are committed to providing only the most relevant, high quality, and extremely clear helpers as possible.
In CONVENTIONS.md you will find a simple example of these conventions and utilities in practice.
- sem-init: Initialize a git repository for sem support
- sem-add: Adds a database upgrade script
- sem-dist: Create a distribution tar.gz file containing schema upgrade scripts
- sem-apply: Apply any deltas from a distribution tarball to a particular database
- Consider offering an option to install via ruby gems
Copyright 2013 Gilt Groupe, Inc.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.