_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 )[] )[] ) ) |
flow_executions
Returns a list of all instances when this flow was run. | STRUCT( "execution_id" VARCHAR, "execution_status" VARCHAR, "execution_result" STRUCT( "error_info" STRUCT( "put_failures_count" BIGINT, "execution_message" VARCHAR ), "bytes_processed" BIGINT, "bytes_written" BIGINT, "records_processed" BIGINT, "num_parallel_processes" BIGINT, "max_page_size" BIGINT ), "started_at" TIMESTAMP_S, "last_updated_at" TIMESTAMP_S, "data_pull_start_time" TIMESTAMP_S, "data_pull_end_time" TIMESTAMP_S, "metadata_catalog_details" STRUCT( "catalog_type" VARCHAR, "table_name" VARCHAR, "table_registration_output" STRUCT( "message" VARCHAR, "result" VARCHAR, "status" VARCHAR ), "partition_registration_output" STRUCT( "message" VARCHAR, "result" VARCHAR, "status" VARCHAR ) )[] )[] |
Show child fields- flow_executions[]
Show child fields- flow_executions[].data_pull_end_time
The timestamp that indicates the last new or updated record to be transferred in the flow run.
- flow_executions[].data_pull_start_time
The timestamp that determines the first new or updated record to be transferred in the flow run.
- flow_executions[].execution_id
Specifies the identifier of the given flow run.
- flow_executions[].execution_result
Describes the result of the given flow run. Show child fields- flow_executions[].execution_result.bytes_processed
The total number of bytes processed by the flow run.
- flow_executions[].execution_result.bytes_written
The total number of bytes written as a result of the flow run.
- flow_executions[].execution_result.error_info
Provides any error message information related to the flow run. Show child fields- flow_executions[].execution_result.error_info.execution_message
Specifies the error message that appears if a flow fails.
- flow_executions[].execution_result.error_info.put_failures_count
Specifies the failure count for the attempted flow.
- flow_executions[].execution_result.max_page_size
The maximum number of records that Amazon AppFlow receives in each page of the response from your SAP application.
- flow_executions[].execution_result.num_parallel_processes
The number of processes that Amazon AppFlow ran at the same time when it retrieved your data.
- flow_executions[].execution_result.records_processed
The number of records processed in the flow run.
- flow_executions[].execution_status
Specifies the flow run status and whether it is in progress, has completed successfully, or has failed.
- flow_executions[].last_updated_at
Specifies the time of the most recent update.
- flow_executions[].metadata_catalog_details[]
Show child fields- flow_executions[].metadata_catalog_details[].catalog_type
The type of metadata catalog that Amazon AppFlow used for the associated flow run. This parameter returns the following value: - GLUE
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The metadata catalog is provided by the Glue Data Catalog. Glue includes the Glue Data Catalog as a component.
- flow_executions[].metadata_catalog_details[].partition_registration_output
Describes the status of the attempt from Amazon AppFlow to register the data partitions with the metadata catalog. The data partitions organize the flow output into a hierarchical path, such as a folder path in an S3 bucket. Amazon AppFlow creates the partitions (if they don't already exist) based on your flow configuration. Show child fields- flow_executions[].metadata_catalog_details[].partition_registration_output.message
Explains the status of the registration attempt from Amazon AppFlow. If the attempt fails, the message explains why.
- flow_executions[].metadata_catalog_details[].partition_registration_output.result
Indicates the number of resources that Amazon AppFlow created or updated. Possible resources include metadata tables and data partitions.
- flow_executions[].metadata_catalog_details[].partition_registration_output.status
Indicates the status of the registration attempt from Amazon AppFlow.
- flow_executions[].metadata_catalog_details[].table_name
The name of the table that stores the metadata for the associated flow run. The table stores metadata that represents the data that the flow transferred. Amazon AppFlow stores the table in the metadata catalog.
- flow_executions[].metadata_catalog_details[].table_registration_output
Describes the status of the attempt from Amazon AppFlow to register the metadata table with the metadata catalog. Amazon AppFlow creates or updates this table for the associated flow run. Show child fields- flow_executions[].metadata_catalog_details[].table_registration_output.message
Explains the status of the registration attempt from Amazon AppFlow. If the attempt fails, the message explains why.
- flow_executions[].metadata_catalog_details[].table_registration_output.result
Indicates the number of resources that Amazon AppFlow created or updated. Possible resources include metadata tables and data partitions.
- flow_executions[].metadata_catalog_details[].table_registration_output.status
Indicates the status of the registration attempt from Amazon AppFlow.
- flow_executions[].started_at
Specifies the start time of the flow run.
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