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aws.emr.list_notebook_executions

Example SQL Queries

SELECT * FROM
aws.emr.list_notebook_executions;

Description

Provides summaries of all notebook executions. You can filter the list based on multiple criteria such as status, time range, and editor id. Returns a maximum of 50 notebook executions and a marker to track the paging of a longer notebook execution list across multiple ListNotebookExecutions calls.

Table Definition

Column NameColumn Data Type
editor_id Input Column

The unique identifier of the editor associated with the notebook execution.

VARCHAR
execution_engine_id Input Column

The unique ID of the execution engine for the notebook execution.

VARCHAR
from Input Column

The beginning of time range filter for listing notebook executions. The default is the timestamp of 30 days ago.

TIMESTAMP_S
status Input Column

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.

VARCHAR
to Input Column

The end of time range filter for listing notebook executions. The default is the current timestamp.

TIMESTAMP_S
_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
)[]
)[]
)
)
Show child fields
_aws_profile.account_id

The AWS account id

_aws_profile.assumed_role_arn

The ARN of the assumed role

_aws_profile.name

The unique name of the profile.

_aws_profile.organization

Information about this profile's membership in the AWS organization.

Show child fields
_aws_profile.organization.account_name

The name of account speciifed by the organization

_aws_profile.organization.id

The organization id

_aws_profile.organization.master_account
Show child fields
_aws_profile.organization.master_account.email

The organization master account email address

_aws_profile.organization.master_account.id

The organization master account id

_aws_profile.organization.parents[]
Show child fields
_aws_profile.organization.parents[].id

The id of the parent

_aws_profile.organization.parents[].name

The name of the parent

_aws_profile.organization.parents[].tags[]
Show child fields
_aws_profile.organization.parents[].tags[].key
_aws_profile.organization.parents[].tags[].value
_aws_profile.organization.parents[].type

The type of parent can be an organization unit or a root

_aws_profile.organization.tags[]
Show child fields
_aws_profile.organization.tags[].key
_aws_profile.organization.tags[].value
_aws_profile.type

The type of profile, either 'credentials' or 'assumed_role'

_aws_profile.via_profile_name

This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.

end_time

The timestamp when notebook execution started.

TIMESTAMP_S
notebook_execution_id

The unique identifier of the notebook execution.

VARCHAR
notebook_execution_name

The name of the notebook execution.

VARCHAR
notebook_s3_location

The Amazon S3 location that stores the notebook execution input.

STRUCT(
"bucket" VARCHAR,
"key" VARCHAR
)
Show child fields
notebook_s3_location.bucket

The Amazon S3 bucket that stores the notebook execution input.

notebook_s3_location.key

The key to the Amazon S3 location that stores the notebook execution input.

start_time

The timestamp when notebook execution started.

TIMESTAMP_S