RunTask

Properties

Name	Type	Description	Notes
run_id	Option<i64>	The ID of the task run.	[optional]
task_key	Option<String>	A unique name for the task. This field is used to refer to this task from other tasks. This field is required and must be unique within its parent job. On Update or Reset, this field is used to reference the tasks to be updated or reset. The maximum length is 100 characters.	[optional]
description	Option<String>	An optional description for this task. The maximum length is 4096 bytes.	[optional]
state	Option<crate::models::RunState>		[optional]
depends_on	Option<Veccrate::models::TaskDependenciesInner>	An optional array of objects specifying the dependency graph of the task. All tasks specified in this field must complete successfully before executing this task. The key is task_key, and the value is the name assigned to the dependent task. This field is required when a job consists of more than one task.	[optional]
existing_cluster_id	Option<String>	If existing_cluster_id, the ID of an existing cluster that is used for all runs of this job. When running jobs on an existing cluster, you may need to manually restart the cluster if it stops responding. We suggest running jobs on new clusters for greater reliability.	[optional]
new_cluster	Option<crate::models::NewTaskCluster>		[optional]
libraries	Option<Veccrate::models::Library>	An optional list of libraries to be installed on the cluster that executes the job. The default value is an empty list.	[optional]
notebook_task	Option<crate::models::NotebookTask>		[optional]
spark_jar_task	Option<crate::models::SparkJarTask>		[optional]
spark_python_task	Option<crate::models::SparkPythonTask>		[optional]
spark_submit_task	Option<crate::models::TaskSparkSubmitTask>		[optional]
pipeline_task	Option<crate::models::PipelineTask>		[optional]
python_wheel_task	Option<crate::models::PythonWheelTask>		[optional]
sql_task	Option<crate::models::SqlTask>		[optional]
dbt_task	Option<crate::models::DbtTask>		[optional]
start_time	Option<i64>	The time at which this run was started in epoch milliseconds (milliseconds since 1/1/1970 UTC). This may not be the time when the job task starts executing, for example, if the job is scheduled to run on a new cluster, this is the time the cluster creation call is issued.	[optional]
setup_duration	Option<i64>	The time in milliseconds it took to set up the cluster. For runs that run on new clusters this is the cluster creation time, for runs that run on existing clusters this time should be very short. The duration of a task run is the sum of the setup_duration, execution_duration, and the cleanup_duration. The setup_duration field is set to 0 for multitask job runs. The total duration of a multitask job run is the value of the run_duration field.	[optional]
execution_duration	Option<i64>	The time in milliseconds it took to execute the commands in the JAR or notebook until they completed, failed, timed out, were cancelled, or encountered an unexpected error.	[optional]
cleanup_duration	Option<i64>	The time in milliseconds it took to terminate the cluster and clean up any associated artifacts. The total duration of the run is the sum of the setup_duration, the execution_duration, and the cleanup_duration.	[optional]
end_time	Option<i64>	The time at which this run ended in epoch milliseconds (milliseconds since 1/1/1970 UTC). This field is set to 0 if the job is still running.	[optional]
attempt_number	Option<i32>	The sequence number of this run attempt for a triggered job run. The initial attempt of a run has an attempt_number of 0\. If the initial run attempt fails, and the job has a retry policy (max_retries \> 0), subsequent runs are created with an original_attempt_run_id of the original attempt’s ID and an incrementing attempt_number. Runs are retried only until they succeed, and the maximum attempt_number is the same as the max_retries value for the job.	[optional]
cluster_instance	Option<crate::models::ClusterInstance>		[optional]
git_source	Option<crate::models::GitSource>		[optional]

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