Transaction guidelines
This document gives a few examples of the usage of database transactions in application code.
For further reference, check PostgreSQL documentation about transactions.
Database decomposition and sharding
The Pods group plans to split the main GitLab database and move some of the database tables to other database servers.
We start decomposing the ci_*
-related database tables first. To maintain the current application
development experience, we add tooling and static analyzers to the codebase to ensure correct
data access and data modification methods. By using the correct form for defining database transactions,
we can save significant refactoring work in the future.
The transaction block
The ActiveRecord
library provides a convenient way to group database statements into a transaction:
issue = Issue.find(10)
project = issue.project
ApplicationRecord.transaction do
issue.update!(title: 'updated title')
project.update!(last_update_at: Time.now)
end
This transaction involves two database tables. In case of an error, each UPDATE
statement rolls back to the previous consistent state.
NOTE:
Avoid referencing the ActiveRecord::Base
class and use ApplicationRecord
instead.
Transaction and database locks
When a transaction block is opened, the database tries to acquire the necessary locks on the resources. The type of locks depend on the actual database statements.
Consider a concurrent update scenario where the following code is executed at the same time from two different processes:
issue = Issue.find(10)
project = issue.project
ApplicationRecord.transaction do
issue.update!(title: 'updated title')
project.update!(last_update_at: Time.now)
end
The database tries to acquire the FOR UPDATE
lock for the referenced issue
and
project
records. In our case, we have two competing transactions for these locks,
and only one of them successfully acquires them. The other transaction has
to wait in the lock queue until the first transaction finishes. The execution of the
second transaction is blocked at this point.
Transaction speed
To prevent lock contention and maintain stable application performance, the transaction block should finish as fast as possible. When a transaction acquires locks, it holds on to them until the transaction finishes.
Apart from application performance, long-running transactions can also affect application upgrade processes by blocking database migrations.
Dangerous example: third-party API calls
Consider the following example:
member = Member.find(5)
Member.transaction do
member.update!(notification_email_sent: true)
member.send_notification_email
end
Here, we ensure that the notification_email_sent
column is updated only when the
send_notification_email
method succeeds. The send_notification_email
method
executes a network request to an email sending service. If the underlying infrastructure
does not specify timeouts or the network call takes too long time, the database transaction
stays open.
Ideally, a transaction should only contain database statements.
Avoid doing in a transaction
block:
- External network requests such as:
- Triggering Sidekiq jobs.
- Sending emails.
- HTTP API calls.
- Running database statements using a different connection.
- File system operations.
- Long, CPU intensive computation.
- Calling
sleep(n)
.
Explicit model referencing
If a transaction modifies records from the same database table, we advise to use the
Model.transaction
block:
build_1 = Ci::Build.find(1)
build_2 = Ci::Build.find(2)
Ci::Build.transaction do
build_1.touch
build_2.touch
end
The transaction above uses the same database connection for the transaction as the models
in the transaction
block. In a multi-database environment the following example is dangerous:
# `ci_builds` table is located on another database
class Ci::Build < CiDatabase
end
build_1 = Ci::Build.find(1)
build_2 = Ci::Build.find(2)
ApplicationRecord.transaction do
build_1.touch
build_2.touch
end
The ApplicationRecord
class uses a different database connection than the Ci::Build
records.
The two statements in the transaction block are not part of the transaction and are not
rolled back in case something goes wrong. They act as third-party calls.