DAG: gmptask_flow

schedule: 00 08,22 * * *

Task Instance: ods_gmptrain

Task Instance Details

Dependencies Blocking Task From Getting Scheduled
Dependency Reason
Dagrun Running Task instance's dagrun was not in the 'running' state but in the state 'failed'.
Task Instance State Task is in the 'failed' state which is not a valid state for execution. The task must be cleared in order to be run.
Dag Not Paused Task's DAG 'gmptask_flow' is paused.
Attribute: python_callable
1
2
def gmptrain_ods_load():
    extract.extract_group("gmptrain")
Task Instance Attributes
Attribute Value
dag_id gmptask_flow
duration 1193.41
end_date 2025-02-17 17:32:57.488463+08:00
execution_date 2025-02-16T22:00:00+08:00
executor_config {}
generate_command <function TaskInstance.generate_command at 0x7f6afd6a5560>
hostname testqas-bi-etl
is_premature False
job_id 74775
key ('gmptask_flow', 'ods_gmptrain', <Pendulum [2025-02-16T22:00:00+08:00]>, 4)
log <Logger airflow.task (INFO)>
log_filepath /root/airflow/logs/gmptask_flow/ods_gmptrain/2025-02-16T22:00:00+08:00.log
log_url http://localhost:8080/admin/airflow/log?execution_date=2025-02-16T22%3A00%3A00%2B08%3A00&task_id=ods_gmptrain&dag_id=gmptask_flow
logger <Logger airflow.task (INFO)>
mark_success_url http://localhost:8080/success?task_id=ods_gmptrain&dag_id=gmptask_flow&execution_date=2025-02-16T22%3A00%3A00%2B08%3A00&upstream=false&downstream=false
max_tries 2
metadata MetaData(bind=None)
next_try_number 4
operator PythonOperator
pid 1044337
pool default_pool
pool_slots 1
prev_attempted_tries 3
previous_execution_date_success 2025-02-16 08:00:00+08:00
previous_start_date_success 2025-02-17 16:25:10.911230+08:00
previous_ti <TaskInstance: gmptask_flow.ods_gmptrain 2025-02-16 08:00:00+08:00 [success]>
previous_ti_success <TaskInstance: gmptask_flow.ods_gmptrain 2025-02-16 08:00:00+08:00 [success]>
priority_weight 34
queue default
queued_dttm 2025-02-17 17:12:58.845305+08:00
raw False
run_as_user None
start_date 2025-02-17 17:13:04.082393+08:00
state failed
task <Task(PythonOperator): ods_gmptrain>
task_id ods_gmptrain
test_mode False
try_number 4
unixname root
Task Attributes
Attribute Value
dag <DAG: gmptask_flow>
dag_id gmptask_flow
depends_on_past False
deps {<TIDep(Not Previously Skipped)>, <TIDep(Previous Dagrun State)>, <TIDep(Trigger Rule)>, <TIDep(Not In Retry Period)>}
do_xcom_push True
downstream_list [<Task(PythonOperator): dim_level_load>]
downstream_task_ids {'dim_level_load'}
email ['liuyuming@hiheit.com']
email_on_failure True
email_on_retry False
end_date None
execution_timeout None
executor_config {}
extra_links []
global_operator_extra_link_dict {}
inlets []
lineage_data None
log <Logger airflow.task.operators (INFO)>
logger <Logger airflow.task.operators (INFO)>
max_retry_delay None
on_failure_callback <function failure_callback at 0x7f6aefed87a0>
on_retry_callback None
on_success_callback None
op_args []
op_kwargs {}
operator_extra_link_dict {}
operator_extra_links ()
outlets []
owner airflow
params {}
pool default_pool
pool_slots 1
priority_weight 1
priority_weight_total 34
provide_context False
queue default
resources None
retries 2
retry_delay 0:02:00
retry_exponential_backoff False
run_as_user None
schedule_interval 00 08,22 * * *
shallow_copy_attrs ('python_callable', 'op_kwargs')
sla None
start_date 2020-09-02T00:00:00+08:00
subdag None
task_concurrency None
task_id ods_gmptrain
task_type PythonOperator
template_ext []
template_fields ('templates_dict', 'op_args', 'op_kwargs')
templates_dict None
trigger_rule all_success
ui_color #ffefeb
ui_fgcolor #000
upstream_list [<Task(PythonOperator): ods_level_load>]
upstream_task_ids {'ods_level_load'}
wait_for_downstream False
weight_rule downstream