query Input Column
The query that defines the objects to be returned. The Query object can contain a maximum of ten selectors. The conditions in the query are limited to top-level String fields in the object. These filters can be applied to components, instances, and attempts. | STRUCT( "selectors" STRUCT( "field_name" VARCHAR, "operator" STRUCT( "type" VARCHAR, "values" VARCHAR[] ) )[] ) |
Show child fields- query.selectors[]
Show child fields- query.selectors[].field_name
The name of the field that the operator will be applied to. The field name is the "key" portion of the field definition in the pipeline definition syntax that is used by the AWS Data Pipeline API. If the field is not set on the object, the condition fails.
- query.selectors[].operator
Contains a logical operation for comparing the value of a field with a specified value. Show child fields- query.selectors[].operator.type
The logical operation to be performed: equal (EQ), equal reference (REF_EQ), less than or equal (LE), greater than or equal (GE), or between (BETWEEN). Equal reference (REF_EQ) can be used only with reference fields. The other comparison types can be used only with String fields. The comparison types you can use apply only to certain object fields, as detailed below. The comparison operators EQ and REF_EQ act on the following fields: - name
- @sphere
- parent
- @componentParent
- @instanceParent
- @status
- @scheduledStartTime
- @scheduledEndTime
- @actualStartTime
- @actualEndTime
The comparison operators GE, LE, and BETWEEN act on the following fields: - @scheduledStartTime
- @scheduledEndTime
- @actualStartTime
- @actualEndTime
Note that fields beginning with the at sign (@) are read-only and set by the web service. When you name fields, you should choose names containing only alpha-numeric values, as symbols may be reserved by AWS Data Pipeline. User-defined fields that you add to a pipeline should prefix their name with the string "my".
- query.selectors[].operator.values[]
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_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 )[] )[] ) ) |