- Transitioned from using `handler.Statements` to a repository pattern
for managing organization data in migrations.
- Introduced a new method to set the updated timestamp for
organizations.
- Updated the projection logic to utilize the repository for creating,
updating, and deleting organization records.
Introduce a new SQL migration that creates the `login_names` table and
associated triggers/functions for managing login names based on domain
policies and user updates. Manual tests confirm the functionality works
as intended.
This update introduces a trigger that enforces username uniqueness based
on organization-specific settings. It ensures that usernames are unique
when the organization setting for scoped usernames is enabled.
Additionally, tests have been added to verify the functionality across
different organizational settings.
The users table got introduced by #10967
---------
Co-authored-by: Marco A. <[email protected]>
# Which Problems Are Solved
The group write model used the `event.ID` field instead of
`event.Aggregate().ID` as aggregate id.
# How the Problems Are Solved
replaced `event.ID` with `event.Aggregate().ID`
# Which Problems Are Solved
If the `cache.objects`-table does not exist setup failes with the
following error:
`ERROR: relation "cache.objects" does not exist at character 44`
# How the Problems Are Solved
Changed statement to prevent immediately throw an error if the table is
missing.
# Additional Context
- reported in
https://discord.com/channels/927474939156643850/1473769282880934089
- backport to v4
## Summary
This PR introduces the relational user repository for backend v3,
including schema, repository APIs, reducers/projections, and tests for
both human and machine users.
## What changed
* Added user-focused relational migrations (users, verifications,
metadata, PATs, machine keys, passkeys, identity provider links) and
related FK wiring.
* Implemented/expanded repository domain contracts and storage
implementations for human and machine user flows.
* Added support for machine secret handling and aligned access token
type modeling.
* Extended user domain models (verifications, password/email/phone/TOTP
state, passkeys, metadata, invite handling, identity provider links).
* Updated projection/reduction coverage and integration tests for key
user lifecycle events.
* Regenerated and updated mocks/enums plus supporting database
change/column utilities.
## Notes for reviewers
* This PR is large because it establishes the foundational relational
user storage layer and related test scaffolding. Sorry for that.
## Closes
Closes#10218Closes#10224Closes#10225Closes#10209Closes#10802
---------
Co-authored-by: Iraq Jaber <[email protected]>
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Marco A. <[email protected]>
Co-authored-by: Tim Möhlmann <[email protected]>
## Which problems are solved
https://github.com/zitadel/zitadel/pull/11484 introduced a regression
that causes the setup process to fail on existing Zitadel deployments.
This prevents users from upgrading to recent versions without
encountering setup failures.
## How the problems are solved
Setup step 69 has been corrected to properly handle existing deployment
configurations and prevent setup failures during initialization and
upgrades.
## Additional Context
introduced by
[7a41fe968b](https://github.com/zitadel/zitadel/commit/7a41fe968b9fcb69b378336740b74e5448c1ff81)
### Testing
- [x] Verified setup succeeds on fresh deployments
- [x] Verified setup succeeds on existing deployments
- [x] Verified migration from PostgreSQL 17 to 18 after running setup of
this version
# Which Problems Are Solved
When starting Zitadel with Postgres version 18, setup fails with the
following error:
`level=error msg="migration failed" caller=".../cmd/setup/setup.go:373"
code=0A000 detail= error="ERROR: partitioned tables cannot be unlogged
(SQLSTATE 0A000)" hint= message="partitioned tables cannot be unlogged"
name=34_add_cache_schema severity=ERROR`
# How the Problems Are Solved
- Modify setup step 34 to ensure compatibility with PostgreSQL 18 by
changing the creation of the partitioned tables to`LOGGED` tables but
keep the partitions `UNLOGGED`.
- Added an additional setup step which alters the table persistence of
the partitioned tables to `LOGGED`.
# Additional Changes
- Bumped Postgres compatibility to version 18 in docs.
- Ensure default partitions for cache tables
## Additional Context
- closes https://github.com/zitadel/zitadel/issues/10712
- backport to v4
- migration from PostgreSQL version 17 to 18 was verified using
`pg_dumpall` and restoring the created backup file
- and new setups using PostgreSQL version 18 directly
---------
Co-authored-by: Copilot <[email protected]>
The change was introduced in
https://github.com/zitadel/zitadel/pull/11178.
The fix is to prevent wiping the memberships because the projection did
not init yet.
### Changes
- Introduces a check to determine if the member role synchronization
should be executed based on the existence of a specific database table
(`projections.instance_members4`).
- Ensures that the synchronization process only runs if the required
table is present in the database.
Update the `Check` struct to utilize `crypto.CryptoValue` for the `Code`
field, enhancing security and type safety. Adjust the `CheckTypeInit`
struct accordingly to maintain consistency.
This pull request introduces a new set of domain models and repositories
for managing users within the new v3 structure. The goal is to establish
a clean, robust, and extensible foundation for user management.
### Summary
This PR accomplishes the following:
- **Polymorphic User Model**: Introduces a `User` model in user.go that
can represent either a `Human` or a `Machine` user. This provides a
unified way to handle different user types while allowing for specific
attributes and logic for each.
- **Repository Pattern**: Implements the repository pattern for
accessing and manipulating user data. This decouples the business logic
from the data storage implementation. The main repository interfaces
(`UserRepository`, `HumanUserRepository`, `MachineUserRepository`) are
now defined in `backend/v3/domain/user_repository.go`.
- **Comprehensive User Models**: The user.go file now also defines the
domain models for associated user data, including `UserMetadata`,
`IdentityProviderLink`, `Passkey`, `PersonalAccessToken`, and
`MachineKey`.
- **Generic Verification and Check System**: Introduces verification.go
and check.go to provide a standardized way of handling various
verification flows (e.g., email verification, OTP checks).
- **Generated Code**: Adds new generated files for enums
(`humangender_enumer.go`, `machinekeytype_enumer.go`,
`passkeytype_enumer.go`, `personalaccesstokentype_enumer.go`,
`userstate_enumer.go`, `usertype_enumer.go`) and mocks for the new
repositories.
- **Session Domain Refactoring**: Updates the session domain
(`backend/v3/domain/session*.go`) to align with the new user model
structure.
This foundational work paves the way for migrating user management logic
to the new `v3` backend, with a more maintainable and testable
architecture.
part of #10224
---------
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Marco A. <[email protected]>
Read pull request "feat(database): add statement and CTE changes
(#11069)"
This pull request introduces new functionality for handling database
changes using statements and Common Table Expressions (CTEs).
### Summary
This PR accomplishes the following:
- **Statement and CTE Changes**: Adds new types and functions in
change.go for handling more complex database changes. This includes:
- `NewChangeToNull`: A change that sets a column to `NULL`.
- `NewChangeToColumn`: A change that sets a column's value to the value
of another column.
- `NewIncrementColumnChange`: A change that increments a column's value
by 1.
- `NewChangeToStatement`: A change that sets a column's value to the
result of a subquery.
- `NewCTEChange`: A change that uses a Common Table Expression (CTE) to
perform more complex updates.
- **Testing**: Adds comprehensive tests in change_test.go to cover the
new functionality and ensure the correctness of the generated SQL
statements and arguments.
- **Ignoring AI Files**: Updates the .gitignore to exclude files
generated by AI tools.
This work enhances the flexibility of the database layer, allowing for
more complex and efficient database operations.
This pull request addresses an issue where ZITADEL's initialization
process could fail in environments with restricted database permissions,
such as managed database services (e.g., Google Cloud SQL, Amazon RDS,
Azure PostgreSQL).
## Which problem is solved
Previously, `zitadel init` (and its sub commands) and `zitadel
start-from-init` commands would attempt to execute `CREATE DATABASE`,
`CREATE USER`, and `GRANT` statements. These commands often fail if the
provided database user lacks superuser privileges, which is a common
security practice in hosted database environments.
## How the problem is solved
With this change, Zitadel is now smarter during initialization. It
checks if the database and user specified in your configuration already
exist and are accessible. If they are, ZITADEL will skip the creation
and grant commands, allowing for a seamless setup even with a
less-privileged database user.
## Additional information
closes#10730
closes https://github.com/zitadel/zitadel/issues/8198
### How to leverage this feature (skip admin commands)
To have ZITADEL skip the database administration commands, you need to
configure it so that the initialization process can use the
already-existing database and user. This is achieved by pointing the
admin access in your ZITADEL configuration to the user and database that
ZITADEL will use for its operations.
In your ZITADEL configuration file (e.g., zitadel.yaml), configure the
Database section as follows:
```yaml
Database:
Postgres:
Database: existing_database
# Admin credentials should be the same as the application user credentials
Admin:
User: zitadel-user
ExistingDatabase: existing_database # this is used to connect the admin to the previously created database
# Application user credentials
User:
User: zitadel-user
```
---------
Co-authored-by: Marco A. <[email protected]>
This pull request refactors the command execution and transaction
handling logic within the `domain` package. The primary goal is to
simplify the invoker chain, clarify transaction management, and improve
the overall structure for better maintainability and readability.
### Key Changes:
- **Simplified Invoker Chain**: The previous chain of invokers has been
refactored. A new `transactionInvoker` is introduced to explicitly
manage database transactions for commands that require them. This
responsibility is no longer spread across different parts of the
invocation flow.
- **`Transactional` Interface**: A new `Transactional` interface has
been introduced. Commands that need to run within a database transaction
now implement this interface. This provides a clear and explicit
contract for transactional operations.
- **Consolidated Transaction Logic**: The logic for starting,
committing, and rolling back transactions is now centralized within the
`transactionInvoker` and the `eventStoreInvoker`. The `EnsureTx` method
on `InvokeOpts` has been removed, and transaction handling is now
managed automatically by the invocation framework.
- **Improved Event Handling**: The `eventStoreInvoker` and its
`eventCollector` have been rewritten to be more robust and to correctly
handle nested and batched commands, ensuring that all events are
collected and published within the same transaction.
- **Code Cleanup**: A significant amount of now-unused code, including
the old `invoker_test.go`, has been removed. Various comments and
variable declarations have also been cleaned up.
- **Updated Command Implementations**: All commands in the `domain`
package (e.g., `ActivateOrgCommand`, `DeactivateOrgCommand`,
`DeleteOrgCommand`, `UpdateOrgCommand`) have been updated to use the new
`Transactional` interface where appropriate, removing manual transaction
management.
- **Enhanced Testing**: Tests have been added and updated to cover the
new transaction and event handling logic, ensuring the refactoring is
sound.
- **Use `PrimaryKeyCondition`**: Use the
`repository.PrimaryKeyCondition(...)` method instead of using
`database.And(...)` where possible.
These changes lead to a cleaner, more decoupled architecture for command
handling in ZITADEL.
---------
Co-authored-by: Marco A. <[email protected]>
This pull request introduces a new feature that allows adding, updating,
and querying metadata for organizations. The changes are primarily in
the backend and include new database tables, repositories, and domain
logic to support organization metadata.
## Changes
* New `org_metadata` table: A new table `zitadel.org_metadata` is
introduced to store metadata for organizations. It includes columns for
`instance_id`, `org_id`, `key`, and `value`. The `value` is stored as a
`BYTEA` type to allow for flexible data storage.
* New `OrganizationMetadataRepository`: A new repository
`OrganizationMetadataRepository` is created to handle all database
operations for organization metadata. It provides methods to `Get`,
`List`, `Set`, and `Remove` metadata.
* New `org_metadata_relational_projection`: A new projection
`org_metadata_relational_projection` is added to update the
`zitadel.org_metadata` table based on events. It handles `MetadataSet`,
`MetadataRemoved`, and `MetadataRemovedAll` events.
* Updated `OrganizationRepository`: The `OrganizationRepository` is
updated to support loading organization metadata. A new method
`LoadMetadata` is added to enable joining the `org_metadata` table when
querying for organizations.
* Updated Organization domain: The Organization domain model is updated
to include a new field `Metadata` of type `[]*OrganizationMetadata`.
## Additional Info
* Extensible Design: The new metadata feature is designed to be
extensible, allowing for future enhancements such as indexing on
specific JSON fields within the `value` column.
* closes https://github.com/zitadel/zitadel/issues/10206
* closes https://github.com/zitadel/zitadel/issues/10214
The `Set` operation replaces the object, it must now allow partial
changes.
# Which Problems Are Solved
The definition of the `Set` operation was unclear.
# How the Problems Are Solved
Removed unclear description.
This pull request introduces a significant refactoring of the database
interaction layer, focusing on improving explicitness, transactional
control, and error handling. The core change is the removal of the
stateful `QueryExecutor` from repository instances. Instead, it is now
passed as an argument to each method that interacts with the database.
This change makes transaction management more explicit and flexible, as
the same repository instance can be used with a database pool or a
specific transaction without needing to be re-instantiated.
### Key Changes
- **Explicit `QueryExecutor` Passing:**
- All repository methods (`Get`, `List`, `Create`, `Update`, `Delete`,
etc.) in `InstanceRepository`, `OrganizationRepository`,
`UserRepository`, and their sub-repositories now require a
`database.QueryExecutor` (e.g., a `*pgxpool.Pool` or `pgx.Tx`) as the
first argument.
- Repository constructors no longer accept a `QueryExecutor`. For
example, `repository.InstanceRepository(pool)` is now
`repository.InstanceRepository()`.
- **Enhanced Error Handling:**
- A new `database.MissingConditionError` is introduced to enforce
required query conditions, such as ensuring an `instance_id` is always
present in `UPDATE` and `DELETE` operations.
- The database error wrapper in the `postgres` package now correctly
identifies and wraps `pgx.ErrTooManyRows` and similar errors from the
`scany` library into a `database.MultipleRowsFoundError`.
- **Improved Database Conditions:**
- The `database.Condition` interface now includes a
`ContainsColumn(Column) bool` method. This allows for runtime checks to
ensure that critical filters (like `instance_id`) are included in a
query, preventing accidental cross-tenant data modification.
- A new `database.Exists()` condition has been added to support `EXISTS`
subqueries, enabling more complex filtering logic, such as finding an
organization that has a specific domain.
- **Repository and Interface Refactoring:**
- The method for loading related entities (e.g., domains for an
organization) has been changed from a boolean flag (`Domains(true)`) to
a more explicit, chainable method (`LoadDomains()`). This returns a new
repository instance configured to load the sub-resource, promoting
immutability.
- The custom `OrgIdentifierCondition` has been removed in favor of using
the standard `database.Condition` interface, simplifying the API.
- **Code Cleanup and Test Updates:**
- Unnecessary struct embeddings and metadata have been removed.
- All integration and repository tests have been updated to reflect the
new method signatures, passing the database pool or transaction object
explicitly.
- New tests have been added to cover the new `ExistsDomain`
functionality and other enhancements.
These changes make the data access layer more robust, predictable, and
easier to work with, especially in the context of database transactions.
Improves compatibility of eventstore and related database components
with the new relational table package.
## Which problems are solved
1. **Incompatible Database Interfaces**: The existing eventstore was
tightly coupled to the database package, which is incompatible with the
new, more abstract relational table package in v3. This prevented the
new command-side logic from pushing events to the legacy eventstore.
2. **Missing Health Checks**: The database interfaces in the new package
lacked a Ping method, making it impossible to perform health checks on
database connections.
3. **Event Publishing Logic**: The command handling logic in domain
needed a way to collect and push events to the legacy eventstore after a
command was successfully executed.
## How the problems are solved
1. **`LegacyEventstore` Interface**:
* A new `LegacyEventstore` interface is introduced in the new
`database/eventstore` . This interface exposes a `PushWithNewClient`
method that accepts the new `database.QueryExecutor` interface,
decoupling the v3 domain from the legacy implementation.
* The `internal/eventstore.Eventstore` now implements this interface. A
wrapper, PushWithClient, is added to convert the old database client
types (`*sql.DB`, `*sql.Tx`) into the new `QueryExecutor` types before
calling `PushWithNewClient`.
2. **Database Interface Updates**:
* The `database.Pool` and `database.Client` interfaces in
`storage/eventstore` have been updated to include a Ping method,
allowing for consistent health checks across different database
dialects.
* The `postgres` and `sql` dialect implementations have been updated to
support this new method.
3. **Command and Invoker Refactoring**:
* The `Commander` interface in domain now includes an `Events()
[]legacy_es.Command` method. This allows commands to declare which
events they will generate.
* The `eventCollector` in the invoker logic has been redesigned. It now
ensures a database transaction is started before executing a command.
After successful execution, it calls the `Events()` method on the
command to collect the generated events and appends them to a list.
* The `eventStoreInvoker` then pushes all collected events to the legacy
eventstore using the new `LegacyEventstore` interface, ensuring that
events are only pushed if the entire command (and any sub-commands)
executes successfully within the transaction.
4. **Testing**:
* New unit tests have been added for the invoker to verify that events
are correctly collected from single commands, batched commands, and
nested commands.
These changes create a clean bridge between the new v3 command-side
logic and the existing v1 eventstore, allowing for incremental adoption
of the new architecture while maintaining full functionality.
## Additional Information
closes https://github.com/zitadel/zitadel/issues/10442
This PR fixes a bug where projections could skip events if they were
written within the same microsecond, which can occur during high load on
different transactions.
## Problem
The event query ordering was not fully deterministic. Events created at
the exact same time (same `position`) and in the same transaction
(`in_tx_order`) were not guaranteed to be returned in the same order on
subsequent queries. This could lead to some events being skipped by the
projection logic.
## Solution
To solve this, the `ORDER BY` clause for event queries has been extended
to include `instance_id`, `aggregate_type`, and `aggregate_id`. This
ensures a stable and deterministic ordering for all events, even if they
share the same timestamp.
## Additionally changes:
* Replaced a manual slice search with the more idiomatic
`slices.Contains` to skip already projected instances.
* Changed the handling of already locked projections to log a debug
message and skip execution instead of returning an error.
* Ensures the database transaction is explicitly committed.
A timing issue (a race condition) was identified in our event processing
system. Under specific circumstances, it was possible for the system to
skip processing certain events, leading to potential data
inconsistencies.
## Which problems are solved
The system tracks its progress through the event log using timestamps.
The issue occurred because we were using the timestamp from the start of
a database transaction. If a query to read new events began after the
transaction started but before the new event was committed, the query
would not see the new event and would fail to process it.
## How the problems are solved
The fix is to change which timestamp is used for tracking. We now use
the precise timestamp of when the event is actually written to the
database. This ensures that the event's timestamp is always correctly
ordered, closing the timing gap and preventing the race condition.
This change enhances the reliability and integrity of our event
processing pipeline. It guarantees that all events are processed in the
correct order and eliminates the risk of skipped events, ensuring data
is always consistent across the system.
## Additional information
original fix: https://github.com/zitadel/zitadel/pull/10560
This pull request fixes an issue where the repository would fail to scan
organization or instance structs if the `domains` column was `NULL`.
## Which problems are solved
If the `domains` column of `orgs` or `instances` was `NULL`, the
repository failed scanning into the structs. This happened because the
scanning mechanism did not correctly handle `NULL` JSONB columns.
## How the problems are solved
A new generic type `JSONArray[T]` is introduced, which implements the
`sql.Scanner` interface. This type can correctly scan JSON arrays from
the database, including handling `NULL` values gracefully.
The repositories for instances and organizations have been updated to
use this new type for the domains field. The SQL queries have also been
improved to use `FILTER` with `jsonb_agg` for better readability and
performance when aggregating domains.
## Additional changes
* An unnecessary cleanup step in the organization domain tests for
already removed domains has been removed.
* The `pgxscan` library has been replaced with `sqlscan` for scanning
`database/sql`.Rows.
* Minor cleanups in integration tests.
This PR initiates the rework of Zitadel's backend to state-persisted
objects. This change is a step towards a more scalable and maintainable
architecture.
## Changes
* **New `/backend/v3` package**: A new package structure has been
introduced to house the reworked backend logic. This includes:
* `domain`: Contains the core business logic, commands, and repository
interfaces.
* `storage`: Implements the repository interfaces for database
interactions with new transactional tables.
* `telemetry`: Provides logging and tracing capabilities.
* **Transactional Tables**: New database tables have been defined for
`instances`, `instance_domains`, `organizations`, and `org_domains`.
* **Projections**: New projections have been created to populate the new
relational tables from the existing event store, ensuring data
consistency during the migration.
* **Repositories**: New repositories provide an abstraction layer for
accessing and manipulating the data in the new tables.
* **Setup**: A new setup step for `TransactionalTables` has been added
to manage the database migrations for the new tables.
This PR lays the foundation for future work to fully transition to
state-persisted objects for these components, which will improve
performance and simplify data access patterns.
This PR initiates the rework of ZITADEL's backend to state-persisted
objects. This is a foundational step towards a new architecture that
will improve performance and maintainability.
The following objects are migrated from event-sourced aggregates to
state-persisted objects:
* Instances
* incl. Domains
* Orgs
* incl. Domains
The structure of the new backend implementation follows the software
architecture defined in this [wiki
page](https://github.com/zitadel/zitadel/wiki/Software-Architecturel).
This PR includes:
* The initial implementation of the new transactional repositories for
the objects listed above.
* Projections to populate the new relational tables from the existing
event store.
* Adjustments to the build and test process to accommodate the new
backend structure.
This is a work in progress and further changes will be made to complete
the migration.
---------
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Iraq Jaber <[email protected]>
Co-authored-by: Iraq <[email protected]>
Co-authored-by: Tim Möhlmann <[email protected]>
This PR overhauls our event projection system to make it more robust and
prevent skipped events under high load. The core change replaces our
custom, transaction-based locking with standard PostgreSQL advisory
locks. We also introduce a worker pool to manage concurrency and prevent
database connection exhaustion.
### Key Changes
* **Advisory Locks for Projections:** Replaces exclusive row locks and
inspection of `pg_stat_activity` with PostgreSQL advisory locks for
managing projection state. This is a more reliable and standard approach
to distributed locking.
* **Simplified Await Logic:** Removes the complex logic for awaiting
open transactions, simplifying it to a more straightforward time-based
filtering of events.
* **Projection Worker Pool:** Implements a worker pool to limit
concurrent projection triggers, preventing connection exhaustion and
improving stability under load. A new `MaxParallelTriggers`
configuration option is introduced.
### Problem Solved
Under high throughput, a race condition could cause projections to miss
events from the eventstore. This led to inconsistent data in projection
tables (e.g., a user grant might be missing). This PR fixes the
underlying locking and concurrency issues to ensure all events are
processed reliably.
### How it Works
1. **Event Writing:** When writing events, a *shared* advisory lock is
taken. This signals that a write is in progress.
2. **Event Handling (Projections):**
* A projection worker attempts to acquire an *exclusive* advisory lock
for that specific projection. If the lock is already held, it means
another worker is on the job, so the current one backs off.
* Once the lock is acquired, the worker briefly acquires and releases
the same *shared* lock used by event writers. This acts as a barrier,
ensuring it waits for any in-flight writes to complete.
* Finally, it processes all events that occurred before its transaction
began.
### Additional Information
* ZITADEL no longer modifies the `application_name` PostgreSQL variable
during event writes.
* The lock on the `current_states` table is now `FOR NO KEY UPDATE`.
* Fixes https://github.com/zitadel/zitadel/issues/8509
---------
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Tim Möhlmann <[email protected]>
Querying an organization by id allowed to trigger the org projection.
This could lead to performance impacts if the projection gets triggered
too often.
Instead of executing the trigger the organization by id query is now
always executed on the eventstore and reduces all event types required
of the organization requested.
---------
Co-authored-by: Livio Spring <[email protected]>
Adjust status checks across various functions to accept any 2xx HTTP
response instead of only 200, improving the robustness of the API
response validation.
fixes#10436
## Which problems are solved
The execution of statements of projections did not have the context
present.
## How the problems were solved
Pass the context to the execute function
## Additional info
This change is required to use the repositories of the relational tables
in projections.
Removes manual schema and application name setup via raw SQL and
switches to using River’s built-in schema configuration.
# Which Problems Are Solved
River provides a configuration flag to set the schema of the queue.
Zitadel sets the schema through database statements which is not needed
anymore.
# How the Problems Are Solved
Set the schema in the river configuration and removed old code
# Which Problems Are Solved
The resource usage to query user(s) on the database was high and
therefore could have performance impact.
# How the Problems Are Solved
Database queries involving the users and loginnames table were improved
and an index was added for user by email query.
# Additional Changes
- spellchecks
- updated apis on load tests
# additional info
needs cherry pick to v3
# Which Problems Are Solved
If the `IMPROVED_PERFORMANCE_PROJECT` feature flag was enabled it was
not possible to remove organizations anymore because the project was
searched in the `eventstore.fields` table without resource owner.
# How the Problems Are Solved
Search now includes resource owner.
# Which Problems Are Solved
The output of the sql statement of tech advisory was unclear on how the
data should be compared
# How the Problems Are Solved
An additional column is added to the output to show the effective
difference of the old and new position.
# Which Problems Are Solved
If the sql statement of technical advisory 10016 gets executed on
cockroach the following error is raised:
```
ERROR: WITH clause "fixed" does not return any columns
SQLSTATE: 0A000
HINT: missing RETURNING clause?
```
# How the Problems Are Solved
Fixed the statement by adding `returning` to statement
# Which Problems Are Solved
if Zitadel was started using `start-from-init` or `start-from-setup`
there were rare cases where a panic occured when
`Notifications.LegacyEnabled` was set to false. The cause was a list
which was not reset before refilling.
# How the Problems Are Solved
The list is now reset before each time it gets filled.
# Additional Changes
Ensure all contexts are canceled for the init and setup functions for
`start-from-init- or `start-from-setup` commands.
# Additional Context
none
# Eventstore fixes
- `event.Position` used float64 before which can lead to [precision
loss](https://github.com/golang/go/issues/47300). The type got replaced
by [a type without precision
loss](https://github.com/jackc/pgx-shopspring-decimal)
- the handler reported the wrong error if the current state was updated
and therefore took longer to retry failed events.
# Mirror fixes
- max age of auth requests can be configured to speed up copying data
from `auth.auth_requests` table. Auth requests last updated before the
set age will be ignored. Default is 1 month
- notification projections are skipped because notifications should be
sent by the source system. The projections are set to the latest
position
- ensure that mirror can be executed multiple times
---------
Co-authored-by: Livio Spring <[email protected]>
# Which Problems Are Solved
the mapping of `ListUsers` was wrong for user states.
# How the Problems Are Solved
mapping of user state introduced to correctly map it
# Additional Changes
mapping of user type introduced to prevent same issue
# Additional Context
Requires backport to 2.x and 3.x
Co-authored-by: Livio Spring <[email protected]>
# Which Problems Are Solved
We saw high CPU usage if many events were created on the database. This
was caused by the new actions which query for all event types and
aggregate types.
# How the Problems Are Solved
- the handler of action execution does not filter for aggregate and
event types.
- the index for `instance_id` and `position` is reenabled.
# Additional Changes
none
# Additional Context
none
# Which Problems Are Solved
Step 54 was not executed during setup.
# How the Problems Are Solved
Added the step to setup jobs
# Additional Changes
none
# Additional Context
- the step was added in https://github.com/zitadel/zitadel/pull/9837
- thanks to @zhirschtritt for raising this.
# Which Problems Are Solved
The `auth.auth_requests` table is not cleaned up so long running Zitadel
installations can contain many rows.
The mirror command can take long because a the data are first copied
into memory (or disk) on cockroach and users do not get any output from
mirror. This is unfortunate because people don't know if Zitadel got
stuck.
# How the Problems Are Solved
Enhance logging throughout the projection processes and introduce a
configuration option for the maximum age of authentication requests.
# Additional Changes
None
# Additional Context
closes https://github.com/zitadel/zitadel/issues/9764
---------
Co-authored-by: Livio Spring <[email protected]>
# Which Problems Are Solved
If I start a fresh instance and do not overwrite `SystemAPIUsers` I get
an error during startup `error="decoding failed due to the following
error(s):\n\n'SystemAPIUsers[0][path]' expected a map, got
'string'\n'SystemAPIUsers[0][memberships]' expected a map, got 'slice'"`
# How the Problems Are Solved
the configuration is commented so that the example is still there
# Additional Changes
-
# Additional Context
was added in https://github.com/zitadel/zitadel/pull/9757
This pull request improves the scalability of the session API by
enhancing middleware tracing and refining SQL query behavior for user
authentication methods.
# Which Problems Are Solved
- Eventstore subscriptions locked each other during they wrote the
events to the event channels of the subscribers in push.
- `ListUserAuthMethodTypesRequired` query used `Bitmap heap scan` to
join the tables needed.
- The auth and oidc package triggered projections often when data were
read.
- The session API triggered the user projection each time a user was
searched to write the user check command.
# How the Problems Are Solved
- the `sync.Mutex` was replaced with `sync.RWMutex` to allow parallel
read of the map
- The query was refactored to use index scans only
- if the data should already be up-to-date `shouldTriggerBulk` is set to
false
- as the user should already exist for some time the trigger was
removed.
# Additional Changes
- refactoring of `tracing#Span.End` calls
# Additional Context
- part of https://github.com/zitadel/zitadel/issues/9239
---------
Co-authored-by: Tim Möhlmann <[email protected]>
# Which Problems Are Solved
If configuration `notifications.LegacyEnabled` is set to false when
using cockroachdb as a database Zitadel start does not work and prints
the following error: `level=fatal msg="unable to start zitadel"
caller="github.com/zitadel/zitadel/cmd/start/start_from_init.go:44"
error="can't scan into dest[0]: cannot scan NULL into *string"`
# How the Problems Are Solved
The combination of the setting and cockraochdb are checked and a better
error is provided to the user.
# Additional Context
- introduced with https://github.com/zitadel/zitadel/pull/9321
# Which Problems Are Solved
The recently introduced notification queue have potential race conditions.
# How the Problems Are Solved
Current code is refactored to use the queue package, which is safe in
regards of concurrency.
# Additional Changes
- the queue is included in startup
- improved code quality of queue
# Additional Context
- closes https://github.com/zitadel/zitadel/issues/9278
# Which Problems Are Solved
No benchmarks for v2.70.0 were provided so far.
# How the Problems Are Solved
Benchmarks added
# Additional changes
- it's now possible to plot multiple charts, one chart per `metric_name`
# Which Problems Are Solved
To integrate river as a task queue we need to ensure the migrations of
river are executed.
# How the Problems Are Solved
- A new schema was added to the Zitadel database called "queue"
- Added a repeatable setup step to Zitadel which executes the
[migrations of
river](https://riverqueue.com/docs/migrations#go-migration-api).
# Additional Changes
- Added more hooks to the databases to properly set the schema for the
task queue
# Additional Context
- Closes https://github.com/zitadel/zitadel/issues/9280
# Which Problems Are Solved
https://github.com/zitadel/zitadel/pull/9186 introduced the new `push`
sql function for cockroachdb. The function used the wrong database
function to generate the position of the event and would therefore
insert events at a position before events created with an old Zitadel
version.
# How the Problems Are Solved
Instead of `EXTRACT(EPOCH FROM NOW())`, `cluster_logical_timestamp()` is
used to calculate the position of an event.
# Additional Context
- Introduced in https://github.com/zitadel/zitadel/pull/9186
- Affected versions:
https://github.com/zitadel/zitadel/releases/tag/v2.67.3
# Which Problems Are Solved
Zitadel currently uses 3 database pool, 1 for queries, 1 for pushing
events and 1 for scheduled projection updates. This defeats the purpose
of a connection pool which already handles multiple connections.
During load tests we found that the current structure of connection
pools consumes a lot of database resources. The resource usage dropped
after we reduced the amount of database pools to 1 because existing
connections can be used more efficiently.
# How the Problems Are Solved
Removed logic to handle multiple connection pools and use a single one.
# Additional Changes
none
# Additional Context
part of https://github.com/zitadel/zitadel/issues/8352
# Which Problems Are Solved
The performance of the initial push function can further be increased
# How the Problems Are Solved
`eventstore.push`- and `eventstore.commands_to_events`-functions were
rewritten
# Additional Changes
none
# Additional Context
same optimizations as for postgres:
https://github.com/zitadel/zitadel/pull/9092
# Which Problems Are Solved
In versions previous to v2.66 it was possible to set a different
resource owner on project grants. This was introduced with the new
resource based API. The resource owner was possible to overwrite using
the x-zitadel-org header.
Because of this issue project grants got the wrong resource owner,
instead of the owner of the project it got the granted org which is
wrong because a resource owner of an aggregate is not allowed to change.
# How the Problems Are Solved
- The wrong owners of the events are set to the original owner of the
project.
- A new event is pushed to these aggregates `project.owner.corrected`
- The projection updates the owners of the user grants if that event was
written
# Additional Changes
The eventstore push function (replaced in version 2.66) writes the
correct resource owner.
# Additional Context
closes https://github.com/zitadel/zitadel/issues/9072
# Which Problems Are Solved
On Zitadel cloud we found changing the order of columns in the
`eventstore.events2_current_sequence` index improved CPU usage for the
`SELECT ... FOR UPDATE` query the pusher executes.
# How the Problems Are Solved
`eventstore.events2_current_sequence`-index got replaced
# Additional Context
closes https://github.com/zitadel/zitadel/issues/9082
# Which Problems Are Solved
get instance by domain cannot provide an instance id because it is not
known at that time. This causes a full table scan on the fields table
because current indexes always include the `instance_id` column.
# How the Problems Are Solved
Added a specific index for this query.
# Additional Context
If a system has many fields and there is no cache hit for the given
domain this query can heaviuly influence database CPU usage, the newly
added resolves this problem.
# Which Problems Are Solved
setup step 41 cannot handle downgrades at the moment. This step writes
the instance domain to the fields table. If there are new instances
created during the downgraded version is running there would be domain
missing in the fields afterwards.
# How the Problems Are Solved
Make step 41 repeatable for each version
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