1 Commits

Author	SHA1	Message	Date
Livio Spring	8537805ea5	feat(notification): use event worker pool (#8962) ... # 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	2024-11-27 15:01:17 +00:00