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authorGitLab Bot <gitlab-bot@gitlab.com>2021-08-19 09:08:42 +0000
committerGitLab Bot <gitlab-bot@gitlab.com>2021-08-19 09:08:42 +0000
commitb76ae638462ab0f673e5915986070518dd3f9ad3 (patch)
treebdab0533383b52873be0ec0eb4d3c66598ff8b91 /doc/development/database
parent434373eabe7b4be9593d18a585fb763f1e5f1a6f (diff)
downloadgitlab-ce-b76ae638462ab0f673e5915986070518dd3f9ad3.tar.gz
Add latest changes from gitlab-org/gitlab@14-2-stable-eev14.2.0-rc42
Diffstat (limited to 'doc/development/database')
-rw-r--r--doc/development/database/constraint_naming_convention.md2
-rw-r--r--doc/development/database/database_migration_pipeline.md55
-rw-r--r--doc/development/database/multiple_databases.md198
-rw-r--r--doc/development/database/not_null_constraints.md2
4 files changed, 252 insertions, 5 deletions
diff --git a/doc/development/database/constraint_naming_convention.md b/doc/development/database/constraint_naming_convention.md
index debf74d3b40..3faef8aee09 100644
--- a/doc/development/database/constraint_naming_convention.md
+++ b/doc/development/database/constraint_naming_convention.md
@@ -9,7 +9,7 @@ info: To determine the technical writer assigned to the Stage/Group associated w
The most common option is to let Rails pick the name for database constraints and indexes or let PostgreSQL use the defaults (when applicable). However, when needing to define custom names in Rails or working in Go applications where no ORM is used, it is important to follow strict naming conventions to improve consistency and discoverability.
The table below describes the naming conventions for custom PostgreSQL constraints.
-Please note that the intent is not to retroactively change names in existing databases but rather ensure consistency of future changes.
+The intent is not to retroactively change names in existing databases but rather ensure consistency of future changes.
| Type | Syntax | Notes | Examples |
|--------------------------|---------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------|
diff --git a/doc/development/database/database_migration_pipeline.md b/doc/development/database/database_migration_pipeline.md
new file mode 100644
index 00000000000..5a8ce89a362
--- /dev/null
+++ b/doc/development/database/database_migration_pipeline.md
@@ -0,0 +1,55 @@
+---
+stage: Enablement
+group: Database
+info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
+---
+
+# Database migration pipeline
+
+> [Introduced](https://gitlab.com/gitlab-org/database-team/team-tasks/-/issues/171) in GitLab 14.2.
+
+With the [automated migration testing pipeline](https://gitlab.com/gitlab-org/database-team/gitlab-com-database-testing)
+we can automatically test migrations in a production-like environment (similar to `#database-lab`).
+It is based on an [architecture blueprint](../../architecture/blueprints/database_testing/index.md).
+
+Migration testing is enabled in the [GitLab project](https://gitlab.com/gitlab-org/gitlab)
+for changes that add a new database migration. Trigger this job manually by running the
+`db:gitlabcom-database-testing` job within in `test` stage. To avoid wasting resources,
+only run this job when your MR is ready for review.
+
+The job starts a pipeline on the [ops GitLab instance](https://ops.gitlab.net/).
+For security reasons, access to the pipeline is restricted to database maintainers.
+
+When the pipeline starts, a bot notifies you with a comment in the merge request.
+When it finishes, the comment gets updated with the test results.
+There are three sections which are described below.
+
+## Summary
+
+The first section of the comment contains a summary of the test results, including:
+
+| Result | Description |
+|-------------------|---------------------------------------------------------------------------------------------------------------------|
+| Warnings | Highlights critical issues such as exceptions or long-running queries. |
+| Migrations | The time each migration took to complete, whether it was successful, and the increment in the size of the database. |
+| Runtime histogram | Expand this section to see a histogram of query runtimes across all migrations. |
+
+## Migration details
+
+The next section of the comment contains detailed information for each migration, including:
+
+| Result | Description |
+|-------------------|-------------------------------------------------------------------------------------------------------------------------|
+| Details | The type of migration, total duration, and database size change. |
+| Queries | Every query executed during the migration, along with the number of calls, timings, and the number of the changed rows. |
+| Runtime histogram | Indicates the distribution of query times for the migration. |
+
+## Clone details and artifacts
+
+Some additional information is included at the bottom of the comment:
+
+| Result | Description |
+|----------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Migrations pending on GitLab.com | A summary of migrations not deployed yet to GitLab.com. This info is useful when testing a migration that was merged but not deployed yet. |
+| Clone details | A link to the `Postgres.ai` thin clone created for this testing pipeline, along with information about its expiry. This can be used to further explore the results of running the migration. Only accessible by database maintainers or with an access request. |
+| Artifacts | A link to the pipeline's artifacts. Full query logs for each migration (ending in `.log`) are available there and only accessible by database maintainers or with an access request. |
diff --git a/doc/development/database/multiple_databases.md b/doc/development/database/multiple_databases.md
index 2895cef86fc..71dcc5bb866 100644
--- a/doc/development/database/multiple_databases.md
+++ b/doc/development/database/multiple_databases.md
@@ -61,7 +61,6 @@ development:
adapter: postgresql
encoding: unicode
database: gitlabhq_development_ci
- migrations_paths: db/ci_migrate
host: /path/to/gdk/postgresql
pool: 10
prepared_statements: false
@@ -82,7 +81,6 @@ test: &test
adapter: postgresql
encoding: unicode
database: gitlabhq_test_ci
- migrations_paths: db/ci_migrate
host: /path/to/gdk/postgresql
pool: 10
prepared_statements: false
@@ -92,10 +90,204 @@ test: &test
### Migrations
-Any migrations that affect `Ci::BaseModel` models
+Any migrations that affect `Ci::CiDatabaseRecord` models
and their tables must be placed in two directories for now:
- `db/migrate`
- `db/ci_migrate`
We aim to keep the schema for both tables the same across both databases.
+
+### Removing joins between `ci_*` and non `ci_*` tables
+
+We are planning on moving all the `ci_*` tables to a separate database so
+referencing `ci_*` tables with other tables will not be possible. This means,
+that using any kind of `JOIN` in SQL queries will not work. We have identified
+already many such examples that need to be fixed in
+<https://gitlab.com/groups/gitlab-org/-/epics/6289> .
+
+The following are some real examples that have resulted from this and these
+patterns may apply to future cases.
+
+#### Remove the code
+
+The simplest solution we've seen several times now has been an existing scope
+that is unused. This is the easiest example to fix. So the first step is to
+investigate if the code is unused and then remove it. These are some
+real examples:
+
+- <https://gitlab.com/gitlab-org/gitlab/-/merge_requests/67162>
+- <https://gitlab.com/gitlab-org/gitlab/-/merge_requests/66714>
+- <https://gitlab.com/gitlab-org/gitlab/-/merge_requests/66503>
+
+There may be more examples where the code is used, but we can evaluate
+if we need it or if the feature should behave this way.
+Before complicating things by adding new columns and tables,
+consider if you can simplify the solution and still meet the requirements.
+One case being evaluated involves changing how certain `UsageData` is
+calculated to remove a join query in
+<https://gitlab.com/gitlab-org/gitlab/-/issues/336170>. This is a good candidate
+to evaluate, because `UsageData` is not critical to users and it may be possible
+to get a similarly useful metric with a simpler approach. Alternatively we may
+find that nobody is using these metrics, so we can remove them.
+
+#### Use `preload` instead of `includes`
+
+The `includes` and `preload` methods in Rails are both ways to avoid an N+1
+query. The `includes` method in Rails uses a heuristic approach to determine
+if it needs to join to the table, or if it can load all of the
+records in a separate query. This method assumes it needs to join if it thinks
+you need to query the columns from the other table, but sometimes
+this method gets it wrong and executes a join even when not needed. In
+this case using `preload` to explicitly load the data in a separate query
+allows you to avoid the join, while still avoiding the N+1 query.
+
+You can see a real example of this solution being used in
+<https://gitlab.com/gitlab-org/gitlab/-/merge_requests/67655>.
+
+#### De-normalize some foreign key to the table
+
+De-normalization refers to adding redundant precomputed (duplicated) data to
+a table to simplify certain queries or to improve performance. In this
+case, it can be useful when you are doing a join that involves three tables, where
+you are joining through some intermediate table.
+
+Generally when modeling a database schema, a "normalized" structure is
+preferred because of the following reasons:
+
+- Duplicate data uses extra storage.
+- Duplicate data needs to be kept in sync.
+
+Sometimes normalized data is less performant so de-normalization has been a
+common technique GitLab has used to improve the performance of database queries
+for a while. The above problems are mitigated when the following conditions are
+met:
+
+1. There isn't much data (for example, it's just an integer column).
+1. The data does not update often (for example, the `project_id` column is almost
+ never updated for most tables).
+
+One example we found was the `security_scans` table. This table has a foreign
+key `security_scans.build_id` which allows you to join to the build. Therefore
+you could join to the project like so:
+
+```sql
+select projects.* from security_scans
+inner join ci_builds on security_scans.build_id = ci_builds.id
+inner join projects on ci_builds.project_id = projects.id
+```
+
+The problem with this query is that `ci_builds` is in a different database
+from the other two tables.
+
+The solution in this case is to add the `project_id` column to
+`security_scans`. This doesn't use much extra storage, and due to the way
+these features work, it's never updated (a build never moves projects).
+
+This simplified the query to:
+
+```sql
+select projects.* from security_scans
+inner join projects on security_scans.project_id = projects.id
+```
+
+This also improves performance because you don't need to join through an extra
+table.
+
+You can see this approach implemented in
+<https://gitlab.com/gitlab-org/gitlab/-/merge_requests/66963> . This MR also
+de-normalizes `pipeline_id` to fix a similar query.
+
+#### De-normalize into an extra table
+
+Sometimes the previous de-normalization (adding an extra column) doesn't work for
+your specific case. This may be due to the fact that your data is not 1:1, or
+because the table you're adding to is already too wide (for example, the `projects`
+table shouldn't have more columns added).
+
+In this case you may decide to just store the extra data in a separate table.
+
+One example where this approach is being used was to implement the
+`Project.with_code_coverage` scope. This scope was essentially used to narrow
+down a list of projects to only those that have at one point in time used code
+coverage features. This query (simplified) was:
+
+```sql
+select projects.* from projects
+inner join ci_daily_build_group_report_results on ci_daily_build_group_report_results.project_id = projects.id
+where ((data->'coverage') is not null)
+and ci_daily_build_group_report_results.default_branch = true
+group by projects.id
+```
+
+This work is still in progress but the current plan is to introduce a new table
+called `projects_with_ci_feature_usage` which has 2 columns `project_id` and
+`ci_feature`. This table would be written to the first time a project creates a
+`ci_daily_build_group_report_results` for code coverage. Therefore the new
+query would be:
+
+```sql
+select projects.* from projects
+inner join projects_with_ci_feature_usage on projects_with_ci_feature_usage.project_id = projects.id
+where projects_with_ci_feature_usage.ci_feature = 'code_coverage'
+```
+
+The above example uses as a text column for simplicity but we should probably
+use an [enum](../creating_enums.md) to save space.
+
+The downside of this new design is that this may need to be
+updated (removed if the `ci_daily_build_group_report_results` is deleted).
+Depending on your domain, however, this may not be necessary because deletes are
+edge cases or impossible, or because the user impact of seeing the project on the
+list page may not be problematic. It's also possible to implement the
+logic to delete these rows if or whenever necessary in your domain.
+
+Finally, this de-normalization and new query also improves performance because
+it does less joins and needs less filtering.
+
+#### Summary of cross-join removal patterns
+
+A quick checklist for fixing a specific join query would be:
+
+1. Is the code even used? If not just remove it
+1. If the code is used, then is this feature even used or can we implement the
+ feature in a simpler way and still meet the requirements. Always prefer the
+ simplest option.
+1. Can we remove the join if we de-normalize the data you are joining to by
+ adding a new column
+1. Can we remove the join by adding a new table in the correct database that
+ replicates the minimum data needed to do the join
+
+#### How to validate you have correctly removed a cross-join
+
+Using RSpec tests, you can validate all SQL queries within a code block to
+ensure that none of them are joining across the two databases. This is a useful
+tool to confirm you have correctly fixed an existing cross-join.
+
+At some point in the future we will have fixed all cross-joins and this tool
+will run by default in all tests. For now, the tool needs to be explicitly enabled
+for your test.
+
+You can use this method like so:
+
+```ruby
+it 'does not join across databases' do
+ with_cross_joins_prevented do
+ ::Ci::Build.joins(:project).to_a
+ end
+end
+```
+
+This will raise an exception if the query joins across the two databases. The
+previous example is fixed by removing the join, like so:
+
+```ruby
+it 'does not join across databases' do
+ with_cross_joins_prevented do
+ ::Ci::Build.preload(:project).to_a
+ end
+end
+```
+
+You can see a real example of using this method for fixing a cross-join in
+<https://gitlab.com/gitlab-org/gitlab/-/merge_requests/67655>.
diff --git a/doc/development/database/not_null_constraints.md b/doc/development/database/not_null_constraints.md
index 48b198b46bd..178a207dab5 100644
--- a/doc/development/database/not_null_constraints.md
+++ b/doc/development/database/not_null_constraints.md
@@ -58,7 +58,7 @@ different releases:
1. Release `N.M` (current release)
- - Ensure the constraint is enforced at the application level (i.e. add a model validation).
+ - Ensure the constraint is enforced at the application level (that is, add a model validation).
- Add a post-deployment migration to add the `NOT NULL` constraint with `validate: false`.
- Add a post-deployment migration to fix the existing records.