# Which Problems Are Solved
Streams allow differentiating logs produced by different components of
Zitadel.
# How the Problems Are Solved
The `backend/v3/instrumentation/logging` package now exposes convenience
function for setting and getting a logger from the context. As well as
high-level functions to emit log records at various levels. When
constructing a new logger a "stream" needs to be specified:
- **runtime**: General runtime logs, such as startup and shutdown
messages. Default for logs that do not belong to the other categories.
- **request**: Logs for incoming API and HTTP requests.
- **event_handler**: Logs for event handling in projections.
- **queue**: Logs for the job queue processing.
- **event_pusher**: Logs for event pushing to the database. Disabled by
default, contains sensitive information.
Each line from the returned logger contains a `stream` field as well as
a `version` field with the current Zitadel version.
## Runtime config
Streams can be enabled by passing an array of stream names in the
runtime config. Because some log streams may contain sensitive data
(especially events), it is now also possible to mask values by their
key.
# Additional Changes
- Wrap `slogctx` in the `logging` package. (Except API error converter
packages, because of import cycle)
- Add some docs to `logging` package so other devs understand how to add
logging to Zitadel
- Add `logging.OnError` and `logging.WithError` helper functions with
`Panic()` and `Fatal()` methods, to preserve current calls in the `cmd`
packages.
- Add instance context extractor.
- Only output request details in the request info log. Request ID
remains propagated through context.
- Moved middleware functionality into protocol specific packages.
- Removed setting of URI to context in metric middleware. There were ony
setters and no getters. (Unused value)
- Reuse a single statusWriter in the middleware package for middlewares
that need to know the response status.
# Additional Context
- Closes#11333
- Closes#11331
- Partly #11330
---------
Co-authored-by: Silvan <[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]>
# 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
Float64 which was used for the event.Position field is [not precise in
go and gets rounded](https://github.com/golang/go/issues/47300). This
can lead to unprecies position tracking of events and therefore
projections especially on cockcoachdb as the position used there is a
big number.
example of a unprecies position:
exact: 1725257931223002628
float64: 1725257931223002624.000000
# How the Problems Are Solved
The float64 was replaced by
[github.com/jackc/pgx-shopspring-decimal](https://github.com/jackc/pgx-shopspring-decimal).
# Additional Changes
Correct behaviour of makefile for load tests.
Rename `latestSequence`-queries to `latestPosition`
* chore: use pgx v5
* chore: update go version
* remove direct pq dependency
* remove unnecessary type
* scan test
* map scanner
* converter
* uint8 number array
* duration
* most unit tests work
* unit tests work
* chore: coverage
* go 1.21
* linting
* int64 gopfertammi
* retry go 1.22
* retry go 1.22
* revert to go v1.21.5
* update go toolchain to 1.21.8
* go 1.21.8
* remove test flag
* go 1.21.5
* linting
* update toolchain
* use correct array
* use correct array
* add byte array
* correct value
* correct error message
* go 1.21 compatible
This implementation increases parallel write capabilities of the eventstore.
Please have a look at the technical advisories: [05](https://zitadel.com/docs/support/advisory/a10005) and [06](https://zitadel.com/docs/support/advisory/a10006).
The implementation of eventstore.push is rewritten and stored events are migrated to a new table `eventstore.events2`.
If you are using cockroach: make sure that the database user of ZITADEL has `VIEWACTIVITY` grant. This is used to query events.
SilvanandGitHub
