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) 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 rangedateRangeType
, 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 MONTHLYgroup_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 bylocationType
, 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.