_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT( "type" VARCHAR, "name" VARCHAR, "account_id" VARCHAR, "via_profile_name" VARCHAR, "assumed_role_arn" VARCHAR, "organization" STRUCT( "account_name" VARCHAR, "id" VARCHAR, "tags" STRUCT( "key" VARCHAR, "value" VARCHAR )[], "master_account" STRUCT( "id" VARCHAR, "email" VARCHAR ), "parents" STRUCT( "type" VARCHAR, "id" VARCHAR, "name" VARCHAR, "tags" STRUCT( "key" VARCHAR, "value" VARCHAR )[] )[] ) ) |
notebook_execution
Properties of the notebook execution. | STRUCT( "notebook_execution_id" VARCHAR, "editor_id" VARCHAR, "execution_engine" STRUCT( "id" VARCHAR, "type" VARCHAR, "master_instance_security_group_id" VARCHAR, "execution_role_arn" VARCHAR ), "notebook_execution_name" VARCHAR, "notebook_params" VARCHAR, "status" VARCHAR, "start_time" TIMESTAMP_S, "end_time" TIMESTAMP_S, "arn" VARCHAR, "output_notebook_uri" VARCHAR, "last_state_change_reason" VARCHAR, "notebook_instance_security_group_id" VARCHAR, "tags" STRUCT( "key" VARCHAR, "value" VARCHAR )[], "notebook_s3_location" STRUCT( "bucket" VARCHAR, "key" VARCHAR ), "output_notebook_s3_location" STRUCT( "bucket" VARCHAR, "key" VARCHAR ), "output_notebook_format" VARCHAR, "environment_variables" MAP(VARCHAR, VARCHAR) ) |
Show child fields- notebook_execution.arn
The Amazon Resource Name (ARN) of the notebook execution.
- notebook_execution.editor_id
The unique identifier of the Amazon EMR Notebook that is used for the notebook execution.
- notebook_execution.end_time
The timestamp when notebook execution ended.
- notebook_execution.environment_variables
The environment variables associated with the notebook execution.
- notebook_execution.execution_engine
The execution engine, such as an Amazon EMR cluster, used to run the Amazon EMR notebook and perform the notebook execution. Show child fields- notebook_execution.execution_engine.execution_role_arn
The execution role ARN required for the notebook execution.
- notebook_execution.execution_engine.id
The unique identifier of the execution engine. For an Amazon EMR cluster, this is the cluster ID.
- notebook_execution.execution_engine.master_instance_security_group_id
An optional unique ID of an Amazon EC2 security group to associate with the master instance of the Amazon EMR cluster for this notebook execution. For more information see Specifying Amazon EC2 Security Groups for Amazon EMR Notebooks in the EMR Management Guide.
- notebook_execution.execution_engine.type
The type of execution engine. A value of EMR specifies an Amazon EMR cluster.
- notebook_execution.last_state_change_reason
The reason for the latest status change of the notebook execution.
- notebook_execution.notebook_execution_id
The unique identifier of a notebook execution.
- notebook_execution.notebook_execution_name
A name for the notebook execution.
- notebook_execution.notebook_instance_security_group_id
The unique identifier of the Amazon EC2 security group associated with the Amazon EMR Notebook instance. For more information see Specifying Amazon EC2 Security Groups for Amazon EMR Notebooks in the Amazon EMR Management Guide.
- notebook_execution.notebook_params
Input parameters in JSON format passed to the Amazon EMR Notebook at runtime for execution.
- notebook_execution.notebook_s3_location
The Amazon S3 location that stores the notebook execution input. Show child fields- notebook_execution.notebook_s3_location.bucket
The Amazon S3 bucket that stores the notebook execution input.
- notebook_execution.notebook_s3_location.key
The key to the Amazon S3 location that stores the notebook execution input.
- notebook_execution.output_notebook_format
The output format for the notebook execution.
- notebook_execution.output_notebook_s3_location
The Amazon S3 location for the notebook execution output. Show child fields- notebook_execution.output_notebook_s3_location.bucket
The Amazon S3 bucket that stores the notebook execution output.
- notebook_execution.output_notebook_s3_location.key
The key to the Amazon S3 location that stores the notebook execution output.
- notebook_execution.output_notebook_uri
The location of the notebook execution's output file in Amazon S3.
- notebook_execution.start_time
The timestamp when notebook execution started.
- notebook_execution.status
The status of the notebook execution. -
START_PENDING indicates that the cluster has received the execution request but execution has not begun. -
STARTING indicates that the execution is starting on the cluster. -
RUNNING indicates that the execution is being processed by the cluster. -
FINISHING indicates that execution processing is in the final stages. -
FINISHED indicates that the execution has completed without error. -
FAILING indicates that the execution is failing and will not finish successfully. -
FAILED indicates that the execution failed. -
STOP_PENDING indicates that the cluster has received a StopNotebookExecution request and the stop is pending. -
STOPPING indicates that the cluster is in the process of stopping the execution as a result of a StopNotebookExecution request. -
STOPPED indicates that the execution stopped because of a StopNotebookExecution request.
- notebook_execution.tags[]
Show child fields- notebook_execution.tags[].key
A user-defined key, which is the minimum required information for a valid tag. For more information, see Tag.
- notebook_execution.tags[].value
A user-defined value, which is optional in a tag. For more information, see Tag Clusters.
|