_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 )[] )[] ) ) |
comprehend_medical_async_job_properties
Provides information about a detection job. | STRUCT( "job_id" VARCHAR, "job_name" VARCHAR, "job_status" VARCHAR, "message" VARCHAR, "submit_time" TIMESTAMP_S, "end_time" TIMESTAMP_S, "expiration_time" TIMESTAMP_S, "input_data_config" STRUCT( "s3_bucket" VARCHAR, "s3_key" VARCHAR ), "output_data_config" STRUCT( "s3_bucket" VARCHAR, "s3_key" VARCHAR ), "language_code" VARCHAR, "data_access_role_arn" VARCHAR, "manifest_file_path" VARCHAR, "kms_key" VARCHAR, "model_version" VARCHAR ) |
Show child fields- comprehend_medical_async_job_properties.data_access_role_arn
The Amazon Resource Name (ARN) that gives Amazon Comprehend Medical read access to your input data.
- comprehend_medical_async_job_properties.end_time
The time that the detection job completed.
- comprehend_medical_async_job_properties.expiration_time
The date and time that job metadata is deleted from the server. Output files in your S3 bucket will not be deleted. After the metadata is deleted, the job will no longer appear in the results of the ListEntitiesDetectionV2Job or the ListPHIDetectionJobs operation.
- comprehend_medical_async_job_properties.input_data_config
The input data configuration that you supplied when you created the detection job. Show child fields- comprehend_medical_async_job_properties.input_data_config.s3_bucket
The URI of the S3 bucket that contains the input data. The bucket must be in the same region as the API endpoint that you are calling.
- comprehend_medical_async_job_properties.input_data_config.s3_key
The path to the input data files in the S3 bucket.
- comprehend_medical_async_job_properties.job_id
The identifier assigned to the detection job.
- comprehend_medical_async_job_properties.job_name
The name that you assigned to the detection job.
- comprehend_medical_async_job_properties.job_status
The current status of the detection job. If the status is FAILED, the Message field shows the reason for the failure.
- comprehend_medical_async_job_properties.kms_key
The AWS Key Management Service key, if any, used to encrypt the output files.
- comprehend_medical_async_job_properties.language_code
The language code of the input documents.
- comprehend_medical_async_job_properties.manifest_file_path
The path to the file that describes the results of a batch job.
- comprehend_medical_async_job_properties.message
A description of the status of a job.
- comprehend_medical_async_job_properties.model_version
The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.
- comprehend_medical_async_job_properties.output_data_config
The output data configuration that you supplied when you created the detection job. Show child fields- comprehend_medical_async_job_properties.output_data_config.s3_bucket
When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output.
- comprehend_medical_async_job_properties.output_data_config.s3_key
The path to the output data files in the S3 bucket. Amazon Comprehend Medical creates an output directory using the job ID so that the output from one job does not overwrite the output of another.
- comprehend_medical_async_job_properties.submit_time
The time that the detection job was submitted for processing.
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