aws.sagemaker.describe_notebook_instance
Example SQL Queries
SELECT * FROMaws.sagemaker.describe_notebook_instanceWHERE"notebook_instance_name" = 'VALUE';Description
Returns information about a notebook instance.
Table Definition
| Column Name | Column Data Type |
|---|---|
| notebook_instance_name Required Input Column The name of the SageMaker notebook instance. | VARCHAR |
| _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( |
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| accelerator_types A list of the Elastic Inference (EI) instance types associated with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker. | VARCHAR[] |
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| additional_code_repositories An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker Notebook Instances. | VARCHAR[] |
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| creation_time A timestamp. Use this parameter to return the time when the notebook instance was created | TIMESTAMP_S |
| default_code_repository The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker Notebook Instances. | VARCHAR |
| direct_internet_access Describes whether SageMaker provides internet access to the notebook instance. If this value is set to Disabled, the notebook instance does not have internet access, and cannot connect to SageMaker training and endpoint services. For more information, see Notebook Instances Are Internet-Enabled by Default. | VARCHAR |
| failure_reason If status is Failed, the reason it failed. | VARCHAR |
| instance_metadata_service_configuration Information on the IMDS configuration of the notebook instance | STRUCT( |
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| instance_type The type of ML compute instance running on the notebook instance. | VARCHAR |
| kms_key_id The Amazon Web Services KMS key ID SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance. | VARCHAR |
| last_modified_time A timestamp. Use this parameter to retrieve the time when the notebook instance was last modified. | TIMESTAMP_S |
| network_interface_id The network interface IDs that SageMaker created at the time of creating the instance. | VARCHAR |
| notebook_instance_arn The Amazon Resource Name (ARN) of the notebook instance. | VARCHAR |
| notebook_instance_lifecycle_config_name Returns the name of a notebook instance lifecycle configuration. For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance | VARCHAR |
| notebook_instance_status The status of the notebook instance. | VARCHAR |
| platform_identifier The platform identifier of the notebook instance runtime environment. | VARCHAR |
| role_arn The Amazon Resource Name (ARN) of the IAM role associated with the instance. | VARCHAR |
| root_access Whether root access is enabled or disabled for users of the notebook instance. Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users. | VARCHAR |
| security_groups The IDs of the VPC security groups. | VARCHAR[] |
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| subnet_id The ID of the VPC subnet. | VARCHAR |
| url The URL that you use to connect to the Jupyter notebook that is running in your notebook instance. | VARCHAR |
| volume_size_in_gb The size, in GB, of the ML storage volume attached to the notebook instance. | BIGINT |