post_dag_run
Trigger a specific DAG in Apache Airflow by providing its ID, enabling targeted workflow execution with optional parameters like run ID, data intervals, and execution dates.
Instructions
Trigger a DAG by ID
Input Schema
Name | Required | Description | Default |
---|---|---|---|
dag_id | Yes | ||
dag_run_id | No | ||
data_interval_end | No | ||
data_interval_start | No | ||
execution_date | No | ||
logical_date | No | ||
note | No |
Input Schema (JSON Schema)
{
"properties": {
"dag_id": {
"title": "Dag Id",
"type": "string"
},
"dag_run_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Dag Run Id"
},
"data_interval_end": {
"anyOf": [
{
"format": "date-time",
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Data Interval End"
},
"data_interval_start": {
"anyOf": [
{
"format": "date-time",
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Data Interval Start"
},
"execution_date": {
"anyOf": [
{
"format": "date-time",
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Execution Date"
},
"logical_date": {
"anyOf": [
{
"format": "date-time",
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Logical Date"
},
"note": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Note"
}
},
"required": [
"dag_id"
],
"title": "post_dag_runArguments",
"type": "object"
}