292 lines
9.5 KiB
Markdown
292 lines
9.5 KiB
Markdown
# What requires downtime?
|
|
|
|
When working with a database certain operations can be performed without taking
|
|
GitLab offline, others do require a downtime period. This guide describes
|
|
various operations, their impact, and how to perform them without requiring
|
|
downtime.
|
|
|
|
## Adding Columns
|
|
|
|
On PostgreSQL you can safely add a new column to an existing table as long as it
|
|
does **not** have a default value. For example, this query would not require
|
|
downtime:
|
|
|
|
```sql
|
|
ALTER TABLE projects ADD COLUMN random_value int;
|
|
```
|
|
|
|
Add a column _with_ a default however does require downtime. For example,
|
|
consider this query:
|
|
|
|
```sql
|
|
ALTER TABLE projects ADD COLUMN random_value int DEFAULT 42;
|
|
```
|
|
|
|
This requires updating every single row in the `projects` table so that
|
|
`random_value` is set to `42` by default. This requires updating all rows and
|
|
indexes in a table. This in turn acquires enough locks on the table for it to
|
|
effectively block any other queries.
|
|
|
|
As of MySQL 5.6 adding a column to a table is still quite an expensive
|
|
operation, even when using `ALGORITHM=INPLACE` and `LOCK=NONE`. This means
|
|
downtime _may_ be required when modifying large tables as otherwise the
|
|
operation could potentially take hours to complete.
|
|
|
|
Adding a column with a default value _can_ be done without requiring downtime
|
|
when using the migration helper method
|
|
`Gitlab::Database::MigrationHelpers#add_column_with_default`. This method works
|
|
similar to `add_column` except it updates existing rows in batches without
|
|
blocking access to the table being modified. See ["Adding Columns With Default
|
|
Values"](migration_style_guide.html#adding-columns-with-default-values) for more
|
|
information on how to use this method.
|
|
|
|
## Dropping Columns
|
|
|
|
Removing columns is tricky because running GitLab processes may still be using
|
|
the columns. To work around this you will need two separate merge requests and
|
|
releases: one to ignore and then remove the column, and one to remove the ignore
|
|
rule.
|
|
|
|
### Step 1: Ignoring The Column
|
|
|
|
The first step is to ignore the column in the application code. This is
|
|
necessary because Rails caches the columns and re-uses this cache in various
|
|
places. This can be done by including the `IgnorableColumn` module into the
|
|
model, followed by defining the columns to ignore. For example, to ignore
|
|
`updated_at` in the User model you'd use the following:
|
|
|
|
```ruby
|
|
class User < ActiveRecord::Base
|
|
include IgnorableColumn
|
|
|
|
ignore_column :updated_at
|
|
end
|
|
```
|
|
|
|
Once added you should create a _post-deployment_ migration that removes the
|
|
column. Both these changes should be submitted in the same merge request.
|
|
|
|
### Step 2: Removing The Ignore Rule
|
|
|
|
Once the changes from step 1 have been released & deployed you can set up a
|
|
separate merge request that removes the ignore rule. This merge request can
|
|
simply remove the `ignore_column` line, and the `include IgnorableColumn` line
|
|
if no other `ignore_column` calls remain.
|
|
|
|
## Renaming Columns
|
|
|
|
Renaming columns the normal way requires downtime as an application may continue
|
|
using the old column name during/after a database migration. To rename a column
|
|
without requiring downtime we need two migrations: a regular migration, and a
|
|
post-deployment migration. Both these migration can go in the same release.
|
|
|
|
### Step 1: Add The Regular Migration
|
|
|
|
First we need to create the regular migration. This migration should use
|
|
`Gitlab::Database::MigrationHelpers#rename_column_concurrently` to perform the
|
|
renaming. For example
|
|
|
|
```ruby
|
|
# A regular migration in db/migrate
|
|
class RenameUsersUpdatedAtToUpdatedAtTimestamp < ActiveRecord::Migration
|
|
include Gitlab::Database::MigrationHelpers
|
|
|
|
disable_ddl_transaction!
|
|
|
|
def up
|
|
rename_column_concurrently :users, :updated_at, :updated_at_timestamp
|
|
end
|
|
|
|
def down
|
|
cleanup_concurrent_column_rename :users, :updated_at_timestamp, :updated_at
|
|
end
|
|
end
|
|
```
|
|
|
|
This will take care of renaming the column, ensuring data stays in sync, copying
|
|
over indexes and foreign keys, etc.
|
|
|
|
**NOTE:** if a column contains 1 or more indexes that do not contain the name of
|
|
the original column, the above procedure will fail. In this case you will first
|
|
need to rename these indexes.
|
|
|
|
### Step 2: Add A Post-Deployment Migration
|
|
|
|
The renaming procedure requires some cleaning up in a post-deployment migration.
|
|
We can perform this cleanup using
|
|
`Gitlab::Database::MigrationHelpers#cleanup_concurrent_column_rename`:
|
|
|
|
```ruby
|
|
# A post-deployment migration in db/post_migrate
|
|
class CleanupUsersUpdatedAtRename < ActiveRecord::Migration
|
|
include Gitlab::Database::MigrationHelpers
|
|
|
|
disable_ddl_transaction!
|
|
|
|
def up
|
|
cleanup_concurrent_column_rename :users, :updated_at, :updated_at_timestamp
|
|
end
|
|
|
|
def down
|
|
rename_column_concurrently :users, :updated_at_timestamp, :updated_at
|
|
end
|
|
end
|
|
```
|
|
|
|
## Changing Column Constraints
|
|
|
|
Adding or removing a NOT NULL clause (or another constraint) can typically be
|
|
done without requiring downtime. However, this does require that any application
|
|
changes are deployed _first_. Thus, changing the constraints of a column should
|
|
happen in a post-deployment migration.
|
|
|
|
## Changing Column Types
|
|
|
|
Changing the type of a column can be done using
|
|
`Gitlab::Database::MigrationHelpers#change_column_type_concurrently`. This
|
|
method works similarly to `rename_column_concurrently`. For example, let's say
|
|
we want to change the type of `users.username` from `string` to `text`.
|
|
|
|
### Step 1: Create A Regular Migration
|
|
|
|
A regular migration is used to create a new column with a temporary name along
|
|
with setting up some triggers to keep data in sync. Such a migration would look
|
|
as follows:
|
|
|
|
```ruby
|
|
# A regular migration in db/migrate
|
|
class ChangeUsersUsernameStringToText < ActiveRecord::Migration
|
|
include Gitlab::Database::MigrationHelpers
|
|
|
|
disable_ddl_transaction!
|
|
|
|
def up
|
|
change_column_type_concurrently :users, :username, :text
|
|
end
|
|
|
|
def down
|
|
cleanup_concurrent_column_type_change :users, :username
|
|
end
|
|
end
|
|
```
|
|
|
|
### Step 2: Create A Post Deployment Migration
|
|
|
|
Next we need to clean up our changes using a post-deployment migration:
|
|
|
|
```ruby
|
|
# A post-deployment migration in db/post_migrate
|
|
class ChangeUsersUsernameStringToTextCleanup < ActiveRecord::Migration
|
|
include Gitlab::Database::MigrationHelpers
|
|
|
|
disable_ddl_transaction!
|
|
|
|
def up
|
|
cleanup_concurrent_column_type_change :users
|
|
end
|
|
|
|
def down
|
|
change_column_type_concurrently :users, :username, :string
|
|
end
|
|
end
|
|
```
|
|
|
|
And that's it, we're done!
|
|
|
|
## Adding Indexes
|
|
|
|
Adding indexes is an expensive process that blocks INSERT and UPDATE queries for
|
|
the duration. When using PostgreSQL one can work arounds this by using the
|
|
`CONCURRENTLY` option:
|
|
|
|
```sql
|
|
CREATE INDEX CONCURRENTLY index_name ON projects (column_name);
|
|
```
|
|
|
|
Migrations can take advantage of this by using the method
|
|
`add_concurrent_index`. For example:
|
|
|
|
```ruby
|
|
class MyMigration < ActiveRecord::Migration
|
|
def up
|
|
add_concurrent_index :projects, :column_name
|
|
end
|
|
|
|
def down
|
|
remove_index(:projects, :column_name) if index_exists?(:projects, :column_name)
|
|
end
|
|
end
|
|
```
|
|
|
|
Note that `add_concurrent_index` can not be reversed automatically, thus you
|
|
need to manually define `up` and `down`.
|
|
|
|
When running this on PostgreSQL the `CONCURRENTLY` option mentioned above is
|
|
used. On MySQL this method produces a regular `CREATE INDEX` query.
|
|
|
|
MySQL doesn't really have a workaround for this. Supposedly it _can_ create
|
|
indexes without the need for downtime but only for variable width columns. The
|
|
details on this are a bit sketchy. Since it's better to be safe than sorry one
|
|
should assume that adding indexes requires downtime on MySQL.
|
|
|
|
## Dropping Indexes
|
|
|
|
Dropping an index does not require downtime on both PostgreSQL and MySQL.
|
|
|
|
## Adding Tables
|
|
|
|
This operation is safe as there's no code using the table just yet.
|
|
|
|
## Dropping Tables
|
|
|
|
Dropping tables can be done safely using a post-deployment migration, but only
|
|
if the application no longer uses the table.
|
|
|
|
## Adding Foreign Keys
|
|
|
|
Adding foreign keys usually works in 3 steps:
|
|
|
|
1. Start a transaction
|
|
1. Run `ALTER TABLE` to add the constraint(s)
|
|
1. Check all existing data
|
|
|
|
Because `ALTER TABLE` typically acquires an exclusive lock until the end of a
|
|
transaction this means this approach would require downtime.
|
|
|
|
GitLab allows you to work around this by using
|
|
`Gitlab::Database::MigrationHelpers#add_concurrent_foreign_key`. This method
|
|
ensures that when PostgreSQL is used no downtime is needed.
|
|
|
|
## Removing Foreign Keys
|
|
|
|
This operation does not require downtime.
|
|
|
|
## Data Migrations
|
|
|
|
Data migrations can be tricky. The usual approach to migrate data is to take a 3
|
|
step approach:
|
|
|
|
1. Migrate the initial batch of data
|
|
1. Deploy the application code
|
|
1. Migrate any remaining data
|
|
|
|
Usually this works, but not always. For example, if a field's format is to be
|
|
changed from JSON to something else we have a bit of a problem. If we were to
|
|
change existing data before deploying application code we'll most likely run
|
|
into errors. On the other hand, if we were to migrate after deploying the
|
|
application code we could run into the same problems.
|
|
|
|
If you merely need to correct some invalid data, then a post-deployment
|
|
migration is usually enough. If you need to change the format of data (e.g. from
|
|
JSON to something else) it's typically best to add a new column for the new data
|
|
format, and have the application use that. In such a case the procedure would
|
|
be:
|
|
|
|
1. Add a new column in the new format
|
|
1. Copy over existing data to this new column
|
|
1. Deploy the application code
|
|
1. In a post-deployment migration, copy over any remaining data
|
|
|
|
In general there is no one-size-fits-all solution, therefore it's best to
|
|
discuss these kind of migrations in a merge request to make sure they are
|
|
implemented in the best way possible.
|