_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
)[]
)[]
)
) |
dev_endpoint
A DevEndpoint definition. | STRUCT(
"endpoint_name" VARCHAR,
"role_arn" VARCHAR,
"security_group_ids" VARCHAR[],
"subnet_id" VARCHAR,
"yarn_endpoint_address" VARCHAR,
"private_address" VARCHAR,
"zeppelin_remote_spark_interpreter_port" BIGINT,
"public_address" VARCHAR,
"status" VARCHAR,
"worker_type" VARCHAR,
"glue_version" VARCHAR,
"number_of_workers" BIGINT,
"number_of_nodes" BIGINT,
"availability_zone" VARCHAR,
"vpc_id" VARCHAR,
"extra_python_libs_s3_path" VARCHAR,
"extra_jars_s3_path" VARCHAR,
"failure_reason" VARCHAR,
"last_update_status" VARCHAR,
"created_timestamp" TIMESTAMP_S,
"last_modified_timestamp" TIMESTAMP_S,
"public_key" VARCHAR,
"public_keys" VARCHAR[],
"security_configuration" VARCHAR,
"arguments" MAP(VARCHAR, VARCHAR)
) |
Show child fields- dev_endpoint.arguments
A map of arguments used to configure the DevEndpoint. Valid arguments are: You can specify a version of Python support for development endpoints by using the Arguments parameter in the CreateDevEndpoint or UpdateDevEndpoint APIs. If no arguments are provided, the version defaults to Python 2. - dev_endpoint.availability_zone
The Amazon Web Services Availability Zone where this DevEndpoint is located. - dev_endpoint.created_timestamp
The point in time at which this DevEndpoint was created. - dev_endpoint.endpoint_name
The name of the DevEndpoint. - dev_endpoint.extra_jars_s3_path
The path to one or more Java .jar files in an S3 bucket that should be loaded in your DevEndpoint. You can only use pure Java/Scala libraries with a DevEndpoint. - dev_endpoint.extra_python_libs_s3_path
The paths to one or more Python libraries in an Amazon S3 bucket that should be loaded in your DevEndpoint. Multiple values must be complete paths separated by a comma. You can only use pure Python libraries with a DevEndpoint. Libraries that rely on C extensions, such as the pandas Python data analysis library, are not currently supported. - dev_endpoint.failure_reason
The reason for a current failure in this DevEndpoint. - dev_endpoint.glue_version
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints. For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide. Development endpoints that are created without specifying a Glue version default to Glue 0.9. You can specify a version of Python support for development endpoints by using the Arguments parameter in the CreateDevEndpoint or UpdateDevEndpoint APIs. If no arguments are provided, the version defaults to Python 2. - dev_endpoint.last_modified_timestamp
The point in time at which this DevEndpoint was last modified. - dev_endpoint.last_update_status
The status of the last update. - dev_endpoint.number_of_nodes
The number of Glue Data Processing Units (DPUs) allocated to this DevEndpoint. - dev_endpoint.number_of_workers
The number of workers of a defined workerType that are allocated to the development endpoint. The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X. - dev_endpoint.private_address
A private IP address to access the DevEndpoint within a VPC if the DevEndpoint is created within one. The PrivateAddress field is present only when you create the DevEndpoint within your VPC. - dev_endpoint.public_address
The public IP address used by this DevEndpoint. The PublicAddress field is present only when you create a non-virtual private cloud (VPC) DevEndpoint. - dev_endpoint.public_key
The public key to be used by this DevEndpoint for authentication. This attribute is provided for backward compatibility because the recommended attribute to use is public keys. - dev_endpoint.public_keys[]
- dev_endpoint.role_arn
The Amazon Resource Name (ARN) of the IAM role used in this DevEndpoint. - dev_endpoint.security_configuration
The name of the SecurityConfiguration structure to be used with this DevEndpoint. - dev_endpoint.security_group_ids[]
- dev_endpoint.status
The current status of this DevEndpoint. - dev_endpoint.subnet_id
The subnet ID for this DevEndpoint. - dev_endpoint.vpc_id
The ID of the virtual private cloud (VPC) used by this DevEndpoint. - dev_endpoint.worker_type
The type of predefined worker that is allocated to the development endpoint. Accepts a value of Standard, G.1X, or G.2X. -
For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker. -
For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs. -
For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs. Known issue: when a development endpoint is created with the G.2X WorkerType configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk. - dev_endpoint.yarn_endpoint_address
The YARN endpoint address used by this DevEndpoint. - dev_endpoint.zeppelin_remote_spark_interpreter_port
The Apache Zeppelin port for the remote Apache Spark interpreter.
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