Azure Databricks · Schema
TaskSettings
AnalyticsApache SparkBig DataData EngineeringMachine-Learning
Properties
| Name | Type | Description |
|---|---|---|
| task_key | string | Unique key for the task within the job. Must be unique among all tasks in the same job. |
| description | string | Optional description for the task |
| depends_on | array | Tasks this task depends on. The task will not start until all dependent tasks complete successfully. |
| existing_cluster_id | string | ID of an existing cluster to use for this task |
| job_cluster_key | string | Key of a job cluster specification to use. Refers to a cluster defined in the job's job_clusters field. |
| notebook_task | object | |
| spark_jar_task | object | |
| spark_python_task | object | |
| spark_submit_task | object | |
| pipeline_task | object | |
| python_wheel_task | object | |
| sql_task | object | |
| dbt_task | object | |
| run_if | string | Condition for running this task based on dependencies |
| timeout_seconds | integer | Timeout in seconds for this individual task |
| max_retries | integer | Maximum number of retries for this task |
| min_retry_interval_millis | integer | Minimum interval between retries in milliseconds |
| retry_on_timeout | boolean | Whether to retry the task if it times out |
| libraries | array | Libraries to install on the task cluster |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "TaskSettings",
"type": "object",
"properties": {
"task_key": {
"type": "string",
"description": "Unique key for the task within the job. Must be unique among all tasks in the same job."
},
"description": {
"type": "string",
"description": "Optional description for the task"
},
"depends_on": {
"type": "array",
"description": "Tasks this task depends on. The task will not start until all dependent tasks complete successfully."
},
"existing_cluster_id": {
"type": "string",
"description": "ID of an existing cluster to use for this task"
},
"job_cluster_key": {
"type": "string",
"description": "Key of a job cluster specification to use. Refers to a cluster defined in the job's job_clusters field."
},
"notebook_task": {
"type": "object"
},
"spark_jar_task": {
"type": "object"
},
"spark_python_task": {
"type": "object"
},
"spark_submit_task": {
"type": "object"
},
"pipeline_task": {
"type": "object"
},
"python_wheel_task": {
"type": "object"
},
"sql_task": {
"type": "object"
},
"dbt_task": {
"type": "object"
},
"run_if": {
"type": "string",
"description": "Condition for running this task based on dependencies"
},
"timeout_seconds": {
"type": "integer",
"description": "Timeout in seconds for this individual task"
},
"max_retries": {
"type": "integer",
"description": "Maximum number of retries for this task"
},
"min_retry_interval_millis": {
"type": "integer",
"description": "Minimum interval between retries in milliseconds"
},
"retry_on_timeout": {
"type": "boolean",
"description": "Whether to retry the task if it times out"
},
"libraries": {
"type": "array",
"description": "Libraries to install on the task cluster"
}
}
}
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