![]() ![]() ![]() Open /etc/netwitness/presidio/configserver/configurations/airflow/workflows-default.json file.Ħ. You will see the executed jar in the logs in the running command section.įor example, presidio -output processor.jar.ĥ. Note : Hover over the failed task instance to view the operator of the task instance. In the Tree View, click the failed task instance and click View Log. Click the DAG ID and then click Tree View. In the DAGs tab, click the failed Dag (circle with red) that takes you to Task Instances page.Ģ. INFO - at .(AbstractIOReactor.java:280).These failures are followed by errors related to, as shown below. Problem: Upon receiving a high volume of events, the root DAG of UEBA becomes unresponsive as it awaits the completion of other associated DAGs, resulting in failures in the model_ueba_flow DAGs for their respective schemas. Title: When UEBA receives a high volume of events, the root DAG becomes unresponsive as it awaits the completion of other associated DAGs. Workaround : To perform the database stagger operation, you must run the command using the RESTful API or NwConsole. Problem : If you perform the database stagger operation from the UI Explore page, it takes a long time to complete the operation based on the data and results in a timeout. Title : The database stagger operation takes a long time to complete, resulting in a timeout from the UI Explore page. Workaround:Gave a Hotfix patch to the customer in 11.7.1.1 Problem:An error 'Failed to parse event' was reported by vmware collector process causing dropping of vmware event logs. NetWitness ESA Deployments are not accessible in the Policies tab Workaround:Clean up the source-server mongo of invalid entries. Due to stale or invalid entries in source server mongo. Problem: Users will not be able to access ESA deployments configurations in the Unified deployment view or policy details. You can sort this list by clicking on the column headings. WHERE rendered_task_instance_fields.dag_id = %s AND rendered_task_instance_fields.task_id = %s ORDER BY dag_run.To find out if any known issue is fixed, refer to the Fixed Issues section in the Release Notes for the appropriate release. WHERE rendered_task_instance_fields.dag_id = %s AND rendered_task_instance_fields.task_id = %s ORDER BY dag_run.execution_date DESCĬurrently we have been running a crontab to kill long-sleeping connections to MySQL from Airflow and it seems to work but we have not found the root cause yet. [SQL: DELETE FROM rendered_task_instance_fields WHERE rendered_task_instance_fields.dag_id = %s AND rendered_task_instance_fields.task_id = %s AND ((rendered_task_instance_fields.dag_id, rendered_task_instance_fields.task_id, rendered_task_instance_n_id) NOT IN (SELECT anon_1.dag_id, anon_1.task_id, anon_1.run_idįROM (SELECT DISTINCT rendered_task_instance_fields.dag_id AS dag_id, rendered_task_instance_fields.task_id AS task_id, rendered_task_instance_n_id AS run_id, dag_run.execution_date AS execution_dateįROM rendered_task_instance_fields INNER JOIN dag_run ON rendered_task_instance_fields.dag_id = dag_run.dag_id AND rendered_task_instance_n_id = dag_run.run_id : (MySQLdb.OperationalError) (1205, 'Lock wait timeout exceeded try restarting transaction') What I don't quite understand is if this is a call from SchedulerJob to update the dagrun, why are we seeing these logs on the worker pod? Is that because we're using KubernetesExecutor and the airflow worker pod itself is actually run as LocalExecutor? I also wonder what could be holding a lock on this same record for >50s. Specifically, last_scheduling_decision gets set here:Īnd I think the most likely place that DagRun.update_state is being called from is here in SchedulerJob._schedule_dag_run: I'm noticing the only place where a query like this (SQL: UPDATE dag_run SET last_scheduling_decision=%s WHERE dag_run.id = %s) would be run is here in DagRun.update_state: I agree to follow this project's Code of ConductĪdding a bit more analysis here.With 1k DAGs starting a midnight, this happens approximately 2 every night. ![]()
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