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author | GitLab Bot <gitlab-bot@gitlab.com> | 2022-04-20 13:00:54 +0300 |
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committer | GitLab Bot <gitlab-bot@gitlab.com> | 2022-04-20 13:00:54 +0300 |
commit | 3cccd102ba543e02725d247893729e5c73b38295 (patch) | |
tree | f36a04ec38517f5deaaacb5acc7d949688d1e187 /doc/development/avoiding_downtime_in_migrations.md | |
parent | 205943281328046ef7b4528031b90fbda70c75ac (diff) |
Add latest changes from gitlab-org/gitlab@14-10-stable-eev14.10.0-rc42
Diffstat (limited to 'doc/development/avoiding_downtime_in_migrations.md')
-rw-r--r-- | doc/development/avoiding_downtime_in_migrations.md | 494 |
1 files changed, 7 insertions, 487 deletions
diff --git a/doc/development/avoiding_downtime_in_migrations.md b/doc/development/avoiding_downtime_in_migrations.md index 1de96df327c..d4c225b62c5 100644 --- a/doc/development/avoiding_downtime_in_migrations.md +++ b/doc/development/avoiding_downtime_in_migrations.md @@ -1,491 +1,11 @@ --- -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 +redirect_to: 'database/avoiding_downtime_in_migrations.md' +remove_date: '2022-07-08' --- -# Avoiding downtime in migrations +This document was moved to [another location](database/avoiding_downtime_in_migrations.md). -When working with a database certain operations may require downtime. Since we -cannot have downtime in migrations we need to use a set of steps to get the -same end result without downtime. This guide describes various operations that -may appear to need downtime, their impact, and how to perform them without -requiring downtime. - -## Dropping Columns - -Removing columns is tricky because running GitLab processes may still be using -the columns. To work around this safely, you will need three steps in three releases: - -1. Ignoring the column (release M) -1. Dropping the column (release M+1) -1. Removing the ignore rule (release M+2) - -The reason we spread this out across three releases is that dropping a column is -a destructive operation that can't be rolled back easily. - -Following this procedure helps us to make sure there are no deployments to GitLab.com -and upgrade processes for self-managed installations that lump together any of these steps. - -### Step 1: Ignoring the column (release M) - -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 defining the columns to ignore. For example, to ignore -`updated_at` in the User model you'd use the following: - -```ruby -class User < ApplicationRecord - include IgnorableColumns - ignore_column :updated_at, remove_with: '12.7', remove_after: '2020-01-22' -end -``` - -Multiple columns can be ignored, too: - -```ruby -ignore_columns %i[updated_at created_at], remove_with: '12.7', remove_after: '2020-01-22' -``` - -If the model exists in CE and EE, the column has to be ignored in the CE model. If the -model only exists in EE, then it has to be added there. - -We require indication of when it is safe to remove the column ignore with: - -- `remove_with`: set to a GitLab release typically two releases (M+2) after adding the - column ignore. -- `remove_after`: set to a date after which we consider it safe to remove the column - ignore, typically after the M+1 release date, during the M+2 development cycle. - -This information allows us to reason better about column ignores and makes sure we -don't remove column ignores too early for both regular releases and deployments to GitLab.com. For -example, this avoids a situation where we deploy a bulk of changes that include both changes -to ignore the column and subsequently remove the column ignore (which would result in a downtime). - -In this example, the change to ignore the column went into release 12.5. - -### Step 2: Dropping the column (release M+1) - -Continuing our example, dropping the column goes into a _post-deployment_ migration in release 12.6: - -```ruby - remove_column :user, :updated_at -``` - -### Step 3: Removing the ignore rule (release M+2) - -With the next release, in this example 12.7, we set up another merge request to remove the ignore rule. -This removes the `ignore_column` line and - if not needed anymore - also the inclusion of `IgnoreableColumns`. - -This should only get merged with the release indicated with `remove_with` and once -the `remove_after` date has passed. - -## 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 < Gitlab::Database::Migration[1.0] - disable_ddl_transaction! - - def up - rename_column_concurrently :users, :updated_at, :updated_at_timestamp - end - - def down - undo_rename_column_concurrently :users, :updated_at, :updated_at_timestamp - end -end -``` - -This will take care of renaming the column, ensuring data stays in sync, and -copying over indexes and foreign keys. - -If a column contains one or more indexes that don't contain the name of the -original column, the previously described procedure will fail. In that case, -you'll 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 < Gitlab::Database::Migration[1.0] - disable_ddl_transaction! - - def up - cleanup_concurrent_column_rename :users, :updated_at, :updated_at_timestamp - end - - def down - undo_cleanup_concurrent_column_rename :users, :updated_at, :updated_at_timestamp - end -end -``` - -If you're renaming a [large table](https://gitlab.com/gitlab-org/gitlab/-/blob/master/rubocop/rubocop-migrations.yml#L3), please carefully consider the state when the first migration has run but the second cleanup migration hasn't been run yet. -With [Canary](https://gitlab.com/gitlab-com/gl-infra/readiness/-/tree/master/library/canary/) it is possible that the system runs in this state for a significant amount of time. - -## 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. - -Avoid using `change_column` as it produces an inefficient query because it re-defines -the whole column type. - -You can check the following guides for each specific use case: - -- [Adding foreign-key constraints](migration_style_guide.md#adding-foreign-key-constraints) -- [Adding `NOT NULL` constraints](database/not_null_constraints.md) -- [Adding limits to text columns](database/strings_and_the_text_data_type.md) - -## 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 < Gitlab::Database::Migration[1.0] - disable_ddl_transaction! - - def up - change_column_type_concurrently :users, :username, :text - end - - def down - undo_change_column_type_concurrently :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 < Gitlab::Database::Migration[1.0] - disable_ddl_transaction! - - def up - cleanup_concurrent_column_type_change :users, :username - end - - def down - undo_cleanup_concurrent_column_type_change :users, :username, :string - end -end -``` - -And that's it, we're done! - -### Casting data to a new type - -Some type changes require casting data to a new type. For example when changing from `text` to `jsonb`. -In this case, use the `type_cast_function` option. -Make sure there is no bad data and the cast will always succeed. You can also provide a custom function that handles -casting errors. - -Example migration: - -```ruby - def up - change_column_type_concurrently :users, :settings, :jsonb, type_cast_function: 'jsonb' - end -``` - -## Changing The Schema For Large Tables - -While `change_column_type_concurrently` and `rename_column_concurrently` can be -used for changing the schema of a table without downtime, it doesn't work very -well for large tables. Because all of the work happens in sequence the migration -can take a very long time to complete, preventing a deployment from proceeding. -They can also produce a lot of pressure on the database due to it rapidly -updating many rows in sequence. - -To reduce database pressure you should instead use a background migration -when migrating a column in a large table (for example, `issues`). This will -spread the work / load over a longer time period, without slowing down deployments. - -For more information, see [the documentation on cleaning up background -migrations](background_migrations.md#cleaning-up). - -## Adding Indexes - -Adding indexes does not require downtime when `add_concurrent_index` -is used. - -See also [Migration Style Guide](migration_style_guide.md#adding-indexes) -for more information. - -## Dropping Indexes - -Dropping an index does not require downtime. - -## 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. - -## Renaming Tables - -Renaming tables requires downtime as an application may continue -using the old table name during/after a database migration. - -If the table and the ActiveRecord model is not in use yet, removing the old -table and creating a new one is the preferred way to "rename" the table. - -Renaming a table is possible without downtime by following our multi-release -[rename table process](database/rename_database_tables.md#rename-table-without-downtime). - -## 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 no downtime is needed. - -## Removing Foreign Keys - -This operation does not require downtime. - -## Migrating `integer` primary keys to `bigint` - -To [prevent the overflow risk](https://gitlab.com/groups/gitlab-org/-/epics/4785) for some tables -with `integer` primary key (PK), we have to migrate their PK to `bigint`. The process to do this -without downtime and causing too much load on the database is described below. - -### Initialize the conversion and start migrating existing data (release N) - -To start the process, add a regular migration to create the new `bigint` columns. Use the provided -`initialize_conversion_of_integer_to_bigint` helper. The helper also creates a database trigger -to keep in sync both columns for any new records ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/migrate/20210608072312_initialize_conversion_of_ci_stages_to_bigint.rb)): - -```ruby -class InitializeConversionOfCiStagesToBigint < ActiveRecord::Migration[6.1] - include Gitlab::Database::MigrationHelpers - - TABLE = :ci_stages - COLUMNS = %i(id) - - def up - initialize_conversion_of_integer_to_bigint(TABLE, COLUMNS) - end - - def down - revert_initialize_conversion_of_integer_to_bigint(TABLE, COLUMNS) - end -end -``` - -Ignore the new `bigint` columns: - -```ruby -module Ci - class Stage < Ci::ApplicationRecord - include IgnorableColumns - ignore_column :id_convert_to_bigint, remove_with: '14.2', remove_after: '2021-08-22' - end -``` - -To migrate existing data, we introduced new type of _batched background migrations_. -Unlike the classic background migrations, built on top of Sidekiq, batched background migrations -don't have to enqueue and schedule all the background jobs at the beginning. -They also have other advantages, like automatic tuning of the batch size, better progress visibility, -and collecting metrics. To start the process, use the provided `backfill_conversion_of_integer_to_bigint` -helper ([example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/migrate/20210608072346_backfill_ci_stages_for_bigint_conversion.rb)): - -```ruby -class BackfillCiStagesForBigintConversion < ActiveRecord::Migration[6.1] - include Gitlab::Database::MigrationHelpers - - TABLE = :ci_stages - COLUMNS = %i(id) - - def up - backfill_conversion_of_integer_to_bigint(TABLE, COLUMNS) - end - - def down - revert_backfill_conversion_of_integer_to_bigint(TABLE, COLUMNS) - end -end -``` - -### Monitor the background migration - -Check how the migration is performing while it's running. Multiple ways to do this are described below. - -#### High-level status of batched background migrations - -See how to [check the status of batched background migrations](../update/index.md#checking-for-background-migrations-before-upgrading). - -#### Query the database - -We can query the related database tables directly. Requires access to read-only replica. -Example queries: - -```sql --- Get details for batched background migration for given table -SELECT * FROM batched_background_migrations WHERE table_name = 'namespaces'\gx - --- Get count of batched background migration jobs by status for given table -SELECT - batched_background_migrations.id, batched_background_migration_jobs.status, COUNT(*) -FROM - batched_background_migrations - JOIN batched_background_migration_jobs ON batched_background_migrations.id = batched_background_migration_jobs.batched_background_migration_id -WHERE - table_name = 'namespaces' -GROUP BY - batched_background_migrations.id, batched_background_migration_jobs.status; - --- Batched background migration progress for given table (based on estimated total number of tuples) -SELECT - m.table_name, - LEAST(100 * sum(j.batch_size) / pg_class.reltuples, 100) AS percentage_complete -FROM - batched_background_migrations m - JOIN batched_background_migration_jobs j ON j.batched_background_migration_id = m.id - JOIN pg_class ON pg_class.relname = m.table_name -WHERE - j.status = 3 AND m.table_name = 'namespaces' -GROUP BY m.id, pg_class.reltuples; -``` - -#### Sidekiq logs - -We can also use the Sidekiq logs to monitor the worker that executes the batched background -migrations: - -1. Sign in to [Kibana](https://log.gprd.gitlab.net) with a `@gitlab.com` email address. -1. Change the index pattern to `pubsub-sidekiq-inf-gprd*`. -1. Add filter for `json.queue: cronjob:database_batched_background_migration`. - -#### PostgreSQL slow queries log - -Slow queries log keeps track of low queries that took above 1 second to execute. To see them -for batched background migration: - -1. Sign in to [Kibana](https://log.gprd.gitlab.net) with a `@gitlab.com` email address. -1. Change the index pattern to `pubsub-postgres-inf-gprd*`. -1. Add filter for `json.endpoint_id.keyword: Database::BatchedBackgroundMigrationWorker`. -1. Optional. To see only updates, add a filter for `json.command_tag.keyword: UPDATE`. -1. Optional. To see only failed statements, add a filter for `json.error_severity.keyword: ERROR`. -1. Optional. Add a filter by table name. - -#### Grafana dashboards - -To monitor the health of the database, use these additional metrics: - -- [PostgreSQL Tuple Statistics](https://dashboards.gitlab.net/d/000000167/postgresql-tuple-statistics?orgId=1&refresh=1m): if you see high rate of updates for the tables being actively converted, or increasing percentage of dead tuples for this table, it might mean that autovacuum cannot keep up. -- [PostgreSQL Overview](https://dashboards.gitlab.net/d/000000144/postgresql-overview?orgId=1): if you see high system usage or transactions per second (TPS) on the primary database server, it might mean that the migration is causing problems. - -### Prometheus metrics - -Number of [metrics](https://gitlab.com/gitlab-org/gitlab/-/blob/294a92484ce4611f660439aa48eee4dfec2230b5/lib/gitlab/database/background_migration/batched_migration_wrapper.rb#L90-128) -for each batched background migration are published to Prometheus. These metrics can be searched for and -visualized in Thanos ([see an example](https://thanos-query.ops.gitlab.net/graph?g0.expr=sum%20(rate(batched_migration_job_updated_tuples_total%7Benv%3D%22gprd%22%7D%5B5m%5D))%20by%20(migration_id)%20&g0.tab=0&g0.stacked=0&g0.range_input=3d&g0.max_source_resolution=0s&g0.deduplicate=1&g0.partial_response=0&g0.store_matches=%5B%5D&g0.end_input=2021-06-13%2012%3A18%3A24&g0.moment_input=2021-06-13%2012%3A18%3A24)). - -### Swap the columns (release N + 1) - -After the background is completed and the new `bigint` columns are populated for all records, we can -swap the columns. Swapping is done with post-deployment migration. The exact process depends on the -table being converted, but in general it's done in the following steps: - -1. Using the provided `ensure_batched_background_migration_is_finished` helper, make sure the batched -migration has finished ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L13-18)). -If the migration has not completed, the subsequent steps fail anyway. By checking in advance we -aim to have more helpful error message. -1. Create indexes using the `bigint` columns that match the existing indexes using the `integer` -column ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L28-34)). -1. Create foreign keys (FK) using the `bigint` columns that match the existing FKs using the -`integer` column. Do this both for FK referencing other tables, and FKs that reference the table -that is being migrated ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L36-43)). -1. Inside a transaction, swap the columns: - 1. Lock the tables involved. To reduce the chance of hitting a deadlock, we recommended to do this in parent to child order ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L47)). - 1. Rename the columns to swap names ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L49-54)) - 1. Reset the trigger function ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L56-57)). - 1. Swap the defaults ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L59-62)). - 1. Swap the PK constraint (if any) ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L64-68)). - 1. Remove old indexes and rename new ones ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L70-72)). - 1. Remove old FKs (if still present) and rename new ones ([see an example](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb#L74)). - -See example [merge request](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/66088), and [migration](https://gitlab.com/gitlab-org/gitlab/-/blob/41fbe34a4725a4e357a83fda66afb382828767b2/db/post_migrate/20210707210916_finalize_ci_stages_bigint_conversion.rb). - -### Remove the trigger and old `integer` columns (release N + 2) - -Using post-deployment migration and the provided `cleanup_conversion_of_integer_to_bigint` helper, -drop the database trigger and the old `integer` columns ([see an example](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/69714)). - -### Remove ignore rules (release N + 3) - -In the next release after the columns were dropped, remove the ignore rules as we do not need them -anymore ([see an example](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/71161)). - -## 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 (for example, 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. +<!-- This redirect file can be deleted after <2022-07-08>. --> +<!-- Redirects that point to other docs in the same project expire in three months. --> +<!-- Redirects that point to docs in a different project or site (for example, link is not relative and starts with `https:`) expire in one year. --> +<!-- Before deletion, see: https://docs.gitlab.com/ee/development/documentation/redirects.html --> |