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c7c0b33d0b
There are four label-matching ops for selecting timeseries now: - Equal: = - NotEqual: != - RegexMatch: =~ - RegexNoMatch: !~ Instead of looking up labels by a simple clientmodel.LabelSet (basically an equals op for every key/value pair in the set), timeseries fingerprint selection is now done via a list of metric.LabelMatchers. Change-Id: I510a83f761198e80946146770ebb64e4abc3bb96
81 lines
3.7 KiB
Go
81 lines
3.7 KiB
Go
// Copyright 2013 Prometheus Team
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package metric
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import (
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"time"
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"github.com/prometheus/client_golang/prometheus"
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)
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const (
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operation = "operation"
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success = "success"
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failure = "failure"
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result = "result"
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appendSample = "append_sample"
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appendSamples = "append_samples"
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flushMemory = "flush_memory"
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getLabelValuesForLabelName = "get_label_values_for_label_name"
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getFingerprintsForLabelMatchers = "get_fingerprints_for_label_matchers"
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getMetricForFingerprint = "get_metric_for_fingerprint"
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hasIndexMetric = "has_index_metric"
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refreshHighWatermarks = "refresh_high_watermarks"
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renderView = "render_view"
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cutOff = "recency_threshold"
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processorName = "processor"
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)
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var (
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diskLatencyHistogram = &prometheus.HistogramSpecification{
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Starts: prometheus.LogarithmicSizedBucketsFor(0, 5000),
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BucketBuilder: prometheus.AccumulatingBucketBuilder(prometheus.EvictAndReplaceWith(10, prometheus.AverageReducer), 100),
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ReportablePercentiles: []float64{0.01, 0.05, 0.5, 0.90, 0.99},
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}
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curationDuration = prometheus.NewCounter()
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curationDurations = prometheus.NewHistogram(diskLatencyHistogram)
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curationFilterOperations = prometheus.NewCounter()
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storageOperations = prometheus.NewCounter()
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storageOperationDurations = prometheus.NewCounter()
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storageLatency = prometheus.NewHistogram(diskLatencyHistogram)
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queueSizes = prometheus.NewGauge()
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storedSamplesCount = prometheus.NewCounter()
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)
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func recordOutcome(duration time.Duration, err error, success, failure map[string]string) {
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labels := success
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if err != nil {
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labels = failure
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}
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storageOperations.Increment(labels)
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asFloat := float64(duration / time.Microsecond)
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storageLatency.Add(labels, asFloat)
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storageOperationDurations.IncrementBy(labels, asFloat)
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}
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func init() {
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prometheus.Register("prometheus_metric_disk_operations_total", "Total number of metric-related disk operations.", prometheus.NilLabels, storageOperations)
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prometheus.Register("prometheus_metric_disk_latency_microseconds", "Latency for metric disk operations in microseconds.", prometheus.NilLabels, storageLatency)
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prometheus.Register("prometheus_storage_operation_time_total_microseconds", "The total time spent performing a given storage operation.", prometheus.NilLabels, storageOperationDurations)
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prometheus.Register("prometheus_storage_queue_sizes_total", "The various sizes and capacities of the storage queues.", prometheus.NilLabels, queueSizes)
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prometheus.Register("prometheus_curation_filter_operations_total", "The number of curation filter operations completed.", prometheus.NilLabels, curationFilterOperations)
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prometheus.Register("prometheus_curation_duration_ms_total", "The total time spent in curation (ms).", prometheus.NilLabels, curationDuration)
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prometheus.Register("prometheus_curation_durations_ms", "Histogram of time spent in curation (ms).", prometheus.NilLabels, curationDurations)
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prometheus.Register("prometheus_stored_samples_total", "The number of samples that have been stored.", prometheus.NilLabels, storedSamplesCount)
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}
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