In today's increasingly complex data integration tasks, the ability to track key events during job execution in real time—and trigger subsequent logic based on those events—has become an essential part of building modern data platforms. Since version 2.3.0, Apache SeaTunnel has introduced a brand-new Event Listener mechanism, offering a flexible hook system that empowers users to build smarter and more business-driven data integration workflows. This article will dive into the powerful capabilities of this mechanism by exploring its overall architecture, core concepts, usage methods, and best practices. What Is the Event Listener Mechanism? The Event Listener mechanism in SeaTunnel is a pluggable hook system that allows users to capture and respond to critical events during job execution, such as: Before the job starts (JobStartEvent) After the job finishes successfully or fails (JobSuccessEvent / JobFailEvent) Task-level execution events (TaskStartEvent / TaskSuccessEvent/ TaskFailEvent) Before the job starts (JobStartEvent) JobStartEvent After the job finishes successfully or fails (JobSuccessEvent / JobFailEvent) JobSuccessEvent JobFailEvent Task-level execution events (TaskStartEvent / TaskSuccessEvent/ TaskFailEvent) TaskStartEvent TaskSuccessEvent TaskFailEvent Each type of event can be associated with corresponding listeners that perform various actions, such as sending alerts, logging audit data, or invoking external systems. This greatly enhances SeaTunnel's observability and extensibility. Core Components The Event Listener mechanism in SeaTunnel consists of three main components: **Event \ Represents a certain behavior or state change within the system. Each event carries contextual information, such as job ID, task name, status, etc. **Event Listener \ A pluggable component that receives events and executes the corresponding business logic. **Event Dispatcher \ The event bus that dispatches events to the registered listeners. **Event \ Represents a certain behavior or state change within the system. Each event carries contextual information, such as job ID, task name, status, etc. **Event Listener \ A pluggable component that receives events and executes the corresponding business logic. **Event Dispatcher \ The event bus that dispatches events to the registered listeners. Supported Event Types Event Type Description JobStartEvent Triggered before the job starts JobSuccessEvent Triggered when the job succeeds JobFailEvent Triggered when the job fails TaskStartEvent Triggered when a task starts TaskSuccessEvent Triggered when a task completes successfully TaskFailEvent Triggered when a task fails Event Type Description JobStartEvent Triggered before the job starts JobSuccessEvent Triggered when the job succeeds JobFailEvent Triggered when the job fails TaskStartEvent Triggered when a task starts TaskSuccessEvent Triggered when a task completes successfully TaskFailEvent Triggered when a task fails Event Type Description Event Type Event Type Description Description JobStartEvent Triggered before the job starts JobStartEvent JobStartEvent JobStartEvent Triggered before the job starts Triggered before the job starts JobSuccessEvent Triggered when the job succeeds JobSuccessEvent JobSuccessEvent JobSuccessEvent Triggered when the job succeeds Triggered when the job succeeds JobFailEvent Triggered when the job fails JobFailEvent JobFailEvent JobFailEvent Triggered when the job fails Triggered when the job fails TaskStartEvent Triggered when a task starts TaskStartEvent TaskStartEvent TaskStartEvent Triggered when a task starts Triggered when a task starts TaskSuccessEvent Triggered when a task completes successfully TaskSuccessEvent TaskSuccessEvent TaskSuccessEvent Triggered when a task completes successfully Triggered when a task completes successfully TaskFailEvent Triggered when a task fails TaskFailEvent TaskFailEvent TaskFailEvent Triggered when a task fails Triggered when a task fails These events allow users to insert control logic at different levels of granularity—for example, reporting metrics at the task level or sending alerts at the job level. How to Use: Configuration Example To enable the Event Listener mechanism, you need to add the event_listenersconfiguration in your SeaTunnel config file. For example: event_listeners env { execution.parallelism = 2 job.name = "seatunnel-event-listener-demo" event_listeners = ["logging"] } env { execution.parallelism = 2 job.name = "seatunnel-event-listener-demo" event_listeners = ["logging"] } This configuration enables an event listener named logging. logging Note: event_listeners is an array of strings, and you can configure multiple listeners. event_listeners Built-in Listener Example SeaTunnel currently includes a built-in logging listener, which prints event information to logs—useful for development and debugging. Example output: Example output: [INFO] JobStartEvent triggered. Job Name: seatunnel-event-listener-demo [INFO] TaskStartEvent triggered. Task: mysql-source->hive-sink [INFO] TaskSuccessEvent triggered. Task: mysql-source->hive-sink [INFO] JobSuccessEvent triggered. [INFO] JobStartEvent triggered. Job Name: seatunnel-event-listener-demo [INFO] TaskStartEvent triggered. Task: mysql-source->hive-sink [INFO] TaskSuccessEvent triggered. Task: mysql-source->hive-sink [INFO] JobSuccessEvent triggered. Custom Event Listeners SeaTunnel also supports custom event listeners, allowing users to extend event handling logic. The implementation steps are as follows: Implement the Listener interface Implement the Listener interface public class MyCustomListener implements EventListener { @Override public void onEvent(Event event) { if (event instanceof JobStartEvent) { // Send DingTalk or Feishu notifications } else if (event instanceof TaskFailEvent) { // Write to failure audit table } } } public class MyCustomListener implements EventListener { @Override public void onEvent(Event event) { if (event instanceof JobStartEvent) { // Send DingTalk or Feishu notifications } else if (event instanceof TaskFailEvent) { // Write to failure audit table } } } Register with SPIAdd the path to your implementation class in the fileMETA-INF/services/org.apache.seatunnel.api.event.EventListener: Register with SPIAdd the path to your implementation class in the fileMETA-INF/services/org.apache.seatunnel.api.event.EventListener: META-INF/services/org.apache.seatunnel.api.event.EventListener com.example.MyCustomListener com.example.MyCustomListener Enable it in the configuration Enable it in the configuration env { event_listeners = ["my-custom"] } env { event_listeners = ["my-custom"] } When SeaTunnel starts, it will automatically load and register your listener. Example Use Cases Failure Alerts: Configure DingTalk or Feishu notification services to immediately push failure alerts to operations teams when a task fails. Audit Logging: Listen to job start and end events and write key information to an audit database for compliance and traceability. Trigger Downstream Jobs: Use HTTP notifications to trigger downstream systems once a job succeeds. Task Duration Monitoring: Capture timestamps in TaskStartEvent and TaskSuccessEvent to calculate and report task duration. Failure Alerts: Configure DingTalk or Feishu notification services to immediately push failure alerts to operations teams when a task fails. Failure Alerts Audit Logging: Listen to job start and end events and write key information to an audit database for compliance and traceability. Audit Logging Trigger Downstream Jobs: Use HTTP notifications to trigger downstream systems once a job succeeds. Trigger Downstream Jobs Task Duration Monitoring: Capture timestamps in TaskStartEvent and TaskSuccessEvent to calculate and report task duration. Task Duration Monitoring TaskStartEvent TaskSuccessEvent Notes Multiple listeners can be active at the same time; SeaTunnel will trigger each one individually. If a listener throws an exception, it won’t affect the execution of other listeners, but the error will be logged. Custom listeners should be thread-safe and performant to avoid blocking the main execution flow. Multiple listeners can be active at the same time; SeaTunnel will trigger each one individually. If a listener throws an exception, it won’t affect the execution of other listeners, but the error will be logged. Custom listeners should be thread-safe and performant to avoid blocking the main execution flow. Future Plans The SeaTunnel community is planning to introduce more built-in event listener plugins—for DingTalk, WeCom (Enterprise WeChat), Feishu, Prometheus, etc.—and to support additional event types (such as data validation and metric reporting). Community contributions are welcome! Feel free to submit a PR to help build a more powerful event listener ecosystem. Summary The Event Listener mechanism brings greater flexibility and extensibility to SeaTunnel. It fits well with various automation, monitoring, and business linkage scenarios. If you're using SeaTunnel for workflow orchestration or data integration, give this feature a try to level up your platform’s intelligence and observability.