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Copy file name to clipboardExpand all lines: docs/dyn/servicecontrol_v1.services.html
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@@ -441,7 +441,7 @@ <h3>Method Details</h3>
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"userLabels": { # User defined labels for the resource that this operation is associated with. Only a combination of 1000 user labels per consumer project are allowed.
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"userLabels": { # Private Preview. This feature is only available for approved services. User defined labels for the resource that this operation is associated with.
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"a_key": "A String",
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"userLabels": { # User defined labels for the resource that this operation is associated with. Only a combination of 1000 user labels per consumer project are allowed.
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"userLabels": { # Private Preview. This feature is only available for approved services. User defined labels for the resource that this operation is associated with.
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"a_key": "A String",
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"reportInfos": [ # Quota usage for each quota release `Operation` request. Fully or partially failed quota release request may or may not be present in `report_quota_info`. For example, a failed quota release request will have the current quota usage info when precise quota library returns the info. A deadline exceeded quota request will not have quota usage info. If there is no quota release request, report_quota_info will be empty.
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{ # Contains additional info about the report operation.
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"operationId": "A String", # The Operation.operation_id value from the request.
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"quotaInfo": { # Contains the quota information for a quota check response. # Quota usage info when processing the `Operation`.
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"limitExceeded": [ # Quota Metrics that have exceeded quota limits. For QuotaGroup-based quota, this is QuotaGroup.name For QuotaLimit-based quota, this is QuotaLimit.name See: google.api.Quota Deprecated: Use quota_metrics to get per quota group limit exceeded status.
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"A String",
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],
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"quotaConsumed": { # Map of quota group name to the actual number of tokens consumed. If the quota check was not successful, then this will not be populated due to no quota consumption. We are not merging this field with 'quota_metrics' field because of the complexity of scaling in Chemist client code base. For simplicity, we will keep this field for Castor (that scales quota usage) and 'quota_metrics' for SuperQuota (that doesn't scale quota usage).
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"a_key": 42,
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},
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"quotaMetrics": [ # Quota metrics to indicate the usage. Depending on the check request, one or more of the following metrics will be included: 1. For rate quota, per quota group or per quota metric incremental usage will be specified using the following delta metric: "serviceruntime.googleapis.com/api/consumer/quota_used_count" 2. For allocation quota, per quota metric total usage will be specified using the following gauge metric: "serviceruntime.googleapis.com/allocation/consumer/quota_used_count" 3. For both rate quota and allocation quota, the quota limit reached condition will be specified using the following boolean metric: "serviceruntime.googleapis.com/quota/exceeded"
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{ # Represents a set of metric values in the same metric. Each metric value in the set should have a unique combination of start time, end time, and label values.
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"metricName": "A String", # The metric name defined in the service configuration.
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"metricValues": [ # The values in this metric.
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{ # Represents a single metric value.
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"boolValue": True or False, # A boolean value.
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"distributionValue": { # Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information: - the arithmetic mean of the samples - the minimum and maximum of the samples - the sum-squared-deviation of the samples, used to compute variance - a histogram of the values of the sample points # A distribution value.
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"bucketCounts": [ # The number of samples in each histogram bucket. `bucket_counts` are optional. If present, they must sum to the `count` value. The buckets are defined below in `bucket_option`. There are N buckets. `bucket_counts[0]` is the number of samples in the underflow bucket. `bucket_counts[1]` to `bucket_counts[N-1]` are the numbers of samples in each of the finite buckets. And `bucket_counts[N] is the number of samples in the overflow bucket. See the comments of `bucket_option` below for more details. Any suffix of trailing zeros may be omitted.
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"A String",
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],
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"count": "A String", # The total number of samples in the distribution. Must be >= 0.
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"exemplars": [ # Example points. Must be in increasing order of `value` field.
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{ # Exemplars are example points that may be used to annotate aggregated distribution values. They are metadata that gives information about a particular value added to a Distribution bucket, such as a trace ID that was active when a value was added. They may contain further information, such as a example values and timestamps, origin, etc.
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"attachments": [ # Contextual information about the example value. Examples are: Trace: type.googleapis.com/google.monitoring.v3.SpanContext Literal string: type.googleapis.com/google.protobuf.StringValue Labels dropped during aggregation: type.googleapis.com/google.monitoring.v3.DroppedLabels There may be only a single attachment of any given message type in a single exemplar, and this is enforced by the system.
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{
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"a_key": "", # Properties of the object. Contains field @type with type URL.
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},
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],
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"timestamp": "A String", # The observation (sampling) time of the above value.
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"value": 3.14, # Value of the exemplar point. This value determines to which bucket the exemplar belongs.
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},
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],
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"explicitBuckets": { # Describing buckets with arbitrary user-provided width. # Buckets with arbitrary user-provided width.
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"bounds": [ # 'bound' is a list of strictly increasing boundaries between buckets. Note that a list of length N-1 defines N buckets because of fenceposting. See comments on `bucket_options` for details. The i'th finite bucket covers the interval [bound[i-1], bound[i]) where i ranges from 1 to bound_size() - 1. Note that there are no finite buckets at all if 'bound' only contains a single element; in that special case the single bound defines the boundary between the underflow and overflow buckets. bucket number lower bound upper bound i == 0 (underflow) -inf bound[i] 0 < i < bound_size() bound[i-1] bound[i] i == bound_size() (overflow) bound[i-1] +inf
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3.14,
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],
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},
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"exponentialBuckets": { # Describing buckets with exponentially growing width. # Buckets with exponentially growing width.
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"growthFactor": 3.14, # The i'th exponential bucket covers the interval [scale * growth_factor^(i-1), scale * growth_factor^i) where i ranges from 1 to num_finite_buckets inclusive. Must be larger than 1.0.
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"numFiniteBuckets": 42, # The number of finite buckets. With the underflow and overflow buckets, the total number of buckets is `num_finite_buckets` + 2. See comments on `bucket_options` for details.
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"scale": 3.14, # The i'th exponential bucket covers the interval [scale * growth_factor^(i-1), scale * growth_factor^i) where i ranges from 1 to num_finite_buckets inclusive. Must be > 0.
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},
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"linearBuckets": { # Describing buckets with constant width. # Buckets with constant width.
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"numFiniteBuckets": 42, # The number of finite buckets. With the underflow and overflow buckets, the total number of buckets is `num_finite_buckets` + 2. See comments on `bucket_options` for details.
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"offset": 3.14, # The i'th linear bucket covers the interval [offset + (i-1) * width, offset + i * width) where i ranges from 1 to num_finite_buckets, inclusive.
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"width": 3.14, # The i'th linear bucket covers the interval [offset + (i-1) * width, offset + i * width) where i ranges from 1 to num_finite_buckets, inclusive. Must be strictly positive.
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},
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"maximum": 3.14, # The maximum of the population of values. Ignored if `count` is zero.
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"mean": 3.14, # The arithmetic mean of the samples in the distribution. If `count` is zero then this field must be zero.
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"minimum": 3.14, # The minimum of the population of values. Ignored if `count` is zero.
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"sumOfSquaredDeviation": 3.14, # The sum of squared deviations from the mean: Sum[i=1..count]((x_i - mean)^2) where each x_i is a sample values. If `count` is zero then this field must be zero, otherwise validation of the request fails.
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},
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"doubleValue": 3.14, # A double precision floating point value.
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"endTime": "A String", # The end of the time period over which this metric value's measurement applies. If not specified, google.api.servicecontrol.v1.Operation.end_time will be used.
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"int64Value": "A String", # A signed 64-bit integer value.
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"labels": { # The labels describing the metric value. See comments on google.api.servicecontrol.v1.Operation.labels for the overriding relationship. Note that this map must not contain monitored resource labels.
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"a_key": "A String",
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},
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"moneyValue": { # Represents an amount of money with its currency type. # A money value.
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"currencyCode": "A String", # The three-letter currency code defined in ISO 4217.
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"nanos": 42, # Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If `units` is positive, `nanos` must be positive or zero. If `units` is zero, `nanos` can be positive, zero, or negative. If `units` is negative, `nanos` must be negative or zero. For example $-1.75 is represented as `units`=-1 and `nanos`=-750,000,000.
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"units": "A String", # The whole units of the amount. For example if `currencyCode` is `"USD"`, then 1 unit is one US dollar.
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},
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"startTime": "A String", # The start of the time period over which this metric value's measurement applies. The time period has different semantics for different metric types (cumulative, delta, and gauge). See the metric definition documentation in the service configuration for details. If not specified, google.api.servicecontrol.v1.Operation.start_time will be used.
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"stringValue": "A String", # A text string value.
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"serviceConfigId": "A String", # The actual config id used to process the request.
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"serviceRolloutId": "A String", # The current service rollout id used to process the request.
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