# Which Problems Are Solved
Scheduled handlers use `eventstore.InstanceIDs` to get the all active
instances within a given timeframe. This function scrapes through all
events written within that time frame which can cause heavy load on the
database.
# How the Problems Are Solved
A new query cache `activeInstances` is introduced which caches the ids
of all instances queried by id or host within the configured timeframe.
# Additional Changes
- Changed `default.yaml`
- Removed `HandleActiveInstances` from custom handler configs
- Added `MaxActiveInstances` to define the maximal amount of cached
instance ids
- fixed start-from-init and start-from-setup to start auth and admin
projections twice
- fixed org cache invalidation to use correct index
# Additional Context
- part of #8999
# Which Problems Are Solved
While running the latest RC / main, we noticed some errors including
context timeouts and rollback issues.
# How the Problems Are Solved
- The transaction context is passed and used for any event being written
and for handling savepoints to be able to handle context timeouts.
- The user projection is not triggered anymore. This will reduce
unnecessary load and potential timeouts if lot of workers are running.
In case a user would not be projected yet, the request event will log an
error and then be skipped / retried on the next run.
- Additionally, the context is checked if being closed after each event
process.
- `latestRetries` now correctly only returns the latest retry events to
be processed
- Default values for notifications have been changed to run workers less
often, more retry delay, but less transaction duration.
# Additional Changes
None
# Additional Context
relates to #8931
---------
Co-authored-by: Tim Möhlmann <tim+github@zitadel.com>
# Which Problems Are Solved
The current handling of notification follows the same pattern as all
other projections:
Created events are handled sequentially (based on "position") by a
handler. During the process, a lot of information is aggregated (user,
texts, templates, ...).
This leads to back pressure on the projection since the handling of
events might take longer than the time before a new event (to be
handled) is created.
# How the Problems Are Solved
- The current user notification handler creates separate notification
events based on the user / session events.
- These events contain all the present and required information
including the userID.
- These notification events get processed by notification workers, which
gather the necessary information (recipient address, texts, templates)
to send out these notifications.
- If a notification fails, a retry event is created based on the current
notification request including the current state of the user (this
prevents race conditions, where a user is changed in the meantime and
the notification already gets the new state).
- The retry event will be handled after a backoff delay. This delay
increases with every attempt.
- If the configured amount of attempts is reached or the message expired
(based on config), a cancel event is created, letting the workers know,
the notification must no longer be handled.
- In case of successful send, a sent event is created for the
notification aggregate and the existing "sent" events for the user /
session object is stored.
- The following is added to the defaults.yaml to allow configuration of
the notification workers:
```yaml
Notifications:
# The amount of workers processing the notification request events.
# If set to 0, no notification request events will be handled. This can be useful when running in
# multi binary / pod setup and allowing only certain executables to process the events.
Workers: 1 # ZITADEL_NOTIFIACATIONS_WORKERS
# The amount of events a single worker will process in a run.
BulkLimit: 10 # ZITADEL_NOTIFIACATIONS_BULKLIMIT
# Time interval between scheduled notifications for request events
RequeueEvery: 2s # ZITADEL_NOTIFIACATIONS_REQUEUEEVERY
# The amount of workers processing the notification retry events.
# If set to 0, no notification retry events will be handled. This can be useful when running in
# multi binary / pod setup and allowing only certain executables to process the events.
RetryWorkers: 1 # ZITADEL_NOTIFIACATIONS_RETRYWORKERS
# Time interval between scheduled notifications for retry events
RetryRequeueEvery: 2s # ZITADEL_NOTIFIACATIONS_RETRYREQUEUEEVERY
# Only instances are projected, for which at least a projection-relevant event exists within the timeframe
# from HandleActiveInstances duration in the past until the projection's current time
# If set to 0 (default), every instance is always considered active
HandleActiveInstances: 0s # ZITADEL_NOTIFIACATIONS_HANDLEACTIVEINSTANCES
# The maximum duration a transaction remains open
# before it spots left folding additional events
# and updates the table.
TransactionDuration: 1m # ZITADEL_NOTIFIACATIONS_TRANSACTIONDURATION
# Automatically cancel the notification after the amount of failed attempts
MaxAttempts: 3 # ZITADEL_NOTIFIACATIONS_MAXATTEMPTS
# Automatically cancel the notification if it cannot be handled within a specific time
MaxTtl: 5m # ZITADEL_NOTIFIACATIONS_MAXTTL
# Failed attempts are retried after a confogired delay (with exponential backoff).
# Set a minimum and maximum delay and a factor for the backoff
MinRetryDelay: 1s # ZITADEL_NOTIFIACATIONS_MINRETRYDELAY
MaxRetryDelay: 20s # ZITADEL_NOTIFIACATIONS_MAXRETRYDELAY
# Any factor below 1 will be set to 1
RetryDelayFactor: 1.5 # ZITADEL_NOTIFIACATIONS_RETRYDELAYFACTOR
```
# Additional Changes
None
# Additional Context
- closes#8931
