Data Source: oci_metering_computation_schedules
This data source provides the list of Schedules in Oracle Cloud Infrastructure Metering Computation service.
Returns the saved schedule list.
Example Usage
data "oci_metering_computation_schedules" "test_schedules" {
	#Required
	compartment_id = var.compartment_id
	#Optional
	name = var.schedule_name
}
Argument Reference
The following arguments are supported:
- compartment_id- (Required) The compartment ID in which to list resources.
- name- (Optional) The query parameter for filtering by name.
Attributes Reference
The following attributes are exported:
- schedule_collection- The list of schedule_collection.
Schedule Reference
The following attributes are exported:
- compartment_id- The customer tenancy.
- defined_tags- Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example:- {"foo-namespace.bar-key": "value"}
- description- The description of the schedule.
- freeform_tags- Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. See Resource Tags. Example:- {"bar-key": "value"}
- id- The OCID representing a unique shedule.
- name- The unique name of the schedule created by the user.
- output_file_format- Specifies the supported output file format.
- query_properties- The query properties.- compartment_depth- The depth level of the compartment.
- date_range- Static or dynamic date range- dateRangeType, which corresponds with type-specific characteristics.- date_range_type- Defines whether the schedule date range is STATIC or DYNAMIC.
- dynamic_date_range_type-
- time_usage_ended- The usage end time.
- time_usage_started- The usage start time.
 
- filter- The filter object for query usage.
- granularity- The usage granularity. DAILY - Daily data aggregation. MONTHLY - Monthly data aggregation. Allowed values are: DAILY MONTHLY
- group_by- Aggregate the result by. For example: [ “tagNamespace”, “tagKey”, “tagValue”, “service”, “skuName”, “skuPartNumber”, “unit”, “compartmentName”, “compartmentPath”, “compartmentId”, “platform”, “region”, “logicalAd”, “resourceId”, “tenantId”, “tenantName” ]
- group_by_tag- GroupBy a specific tagKey. Provide the tagNamespace and tagKey in the tag object. Only supports one tag in the list. For example: [ { “namespace”: “oracle”, “key”: “createdBy” ]- key- The tag key.
- namespace- The tag namespace.
- value- The tag value.
 
- is_aggregate_by_time- Specifies whether aggregated by time. If isAggregateByTime is true, all usage or cost over the query time period will be added up.
- query_type- The query usage type. COST by default if it is missing. Usage - Query the usage data. Cost - Query the cost/billing data. Allowed values are: USAGE COST USAGE_AND_COST
 
- result_location- The location where usage or cost CSVs will be uploaded defined by- locationType, which corresponds with type-specific characteristics.- bucket- The bucket name where usage or cost CSVs will be uploaded.
- location_type- Defines the type of location where the usage or cost CSVs will be stored.
- namespace- The namespace needed to determine the object storage bucket.
- region- The destination Object Store Region specified by the customer.
 
- saved_report_id- The saved report ID which can also be used to generate a query.
- schedule_recurrences- Specifies the frequency according to when the schedule will be run, in the x-obmcs-recurring-time format described in RFC 5545 section 3.3.10. Supported values are : ONE_TIME, DAILY, WEEKLY and MONTHLY.
- state- The schedule lifecycle state.
- system_tags- Usage of system tag keys. These predefined keys are scoped to namespaces. See Resource Tags. Example:- {"orcl-cloud.free-tier-retained": "true"}
- time_created- The date and time the schedule was created.
- time_next_run- The date and time of the next job execution.
- time_scheduled- The date and time of the first time job execution.