167 lines
8.8 KiB
Go
167 lines
8.8 KiB
Go
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// Copyright (C) 2020 Storj Labs, Inc.
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// See LICENSE for copying information.
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package checker
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import (
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"fmt"
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"github.com/spacemonkeygo/monkit/v3"
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"storj.io/storj/satellite/metainfo/metabase"
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)
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// statsCollector holds a *stats for each redundancy scheme
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// seen by the checker. These are chained into the monkit scope for
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// monitoring as they are initialized.
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type statsCollector struct {
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stats map[string]*stats
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}
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func newStatsCollector() *statsCollector {
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return &statsCollector{
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stats: make(map[string]*stats),
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}
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}
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func (collector *statsCollector) getStatsByRS(rs string) *stats {
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stats, ok := collector.stats[rs]
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if !ok {
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stats = newStats(rs)
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mon.Chain(stats)
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collector.stats[rs] = stats
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}
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return stats
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}
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// collectAggregates transfers the iteration aggregates into the
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// respective stats monkit metrics at the end of each checker iteration.
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// iterationAggregates is then cleared.
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func (collector *statsCollector) collectAggregates() {
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for _, stats := range collector.stats {
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stats.collectAggregates()
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stats.iterationAggregates = new(aggregateStats)
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}
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}
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// stats is used for collecting and reporting checker metrics.
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//
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// add any new metrics tagged with rs_scheme to this struct and set them
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// in newStats.
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type stats struct {
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iterationAggregates *aggregateStats
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objectsChecked *monkit.IntVal
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remoteSegmentsChecked *monkit.IntVal
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remoteSegmentsNeedingRepair *monkit.IntVal
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newRemoteSegmentsNeedingRepair *monkit.IntVal
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remoteSegmentsLost *monkit.IntVal
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objectsLost *monkit.IntVal
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remoteSegmentsFailedToCheck *monkit.IntVal
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remoteSegmentsHealthyPercentage *monkit.FloatVal
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// remoteSegmentsOverThreshold[0]=# of healthy=rt+1, remoteSegmentsOverThreshold[1]=# of healthy=rt+2, etc...
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remoteSegmentsOverThreshold1 *monkit.IntVal
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remoteSegmentsOverThreshold2 *monkit.IntVal
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remoteSegmentsOverThreshold3 *monkit.IntVal
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remoteSegmentsOverThreshold4 *monkit.IntVal
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remoteSegmentsOverThreshold5 *monkit.IntVal
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segmentsBelowMinReq *monkit.Counter
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segmentTotalCount *monkit.IntVal
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segmentHealthyCount *monkit.IntVal
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segmentAge *monkit.IntVal
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segmentHealth *monkit.FloatVal
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injuredSegmentHealth *monkit.FloatVal
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segmentTimeUntilIrreparable *monkit.IntVal
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}
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// aggregateStats tallies data over the full checker iteration.
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type aggregateStats struct {
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objectsChecked int64
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remoteSegmentsChecked int64
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remoteSegmentsNeedingRepair int64
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newRemoteSegmentsNeedingRepair int64
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remoteSegmentsLost int64
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remoteSegmentsFailedToCheck int64
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remoteSegmentInfo []metabase.ObjectLocation
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// remoteSegmentsOverThreshold[0]=# of healthy=rt+1, remoteSegmentsOverThreshold[1]=# of healthy=rt+2, etc...
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remoteSegmentsOverThreshold [5]int64
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}
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func newStats(rs string) *stats {
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return &stats{
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iterationAggregates: new(aggregateStats),
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objectsChecked: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_objects_checked").WithTag("rs_scheme", rs)),
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remoteSegmentsChecked: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_checked").WithTag("rs_scheme", rs)),
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remoteSegmentsNeedingRepair: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_needing_repair").WithTag("rs_scheme", rs)),
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newRemoteSegmentsNeedingRepair: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "new_remote_segments_needing_repair").WithTag("rs_scheme", rs)),
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remoteSegmentsLost: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_lost").WithTag("rs_scheme", rs)),
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objectsLost: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "objects_lost").WithTag("rs_scheme", rs)),
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remoteSegmentsFailedToCheck: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_failed_to_check").WithTag("rs_scheme", rs)),
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remoteSegmentsHealthyPercentage: monkit.NewFloatVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_healthy_percentage").WithTag("rs_scheme", rs)),
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remoteSegmentsOverThreshold1: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_over_threshold_1").WithTag("rs_scheme", rs)),
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remoteSegmentsOverThreshold2: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_over_threshold_2").WithTag("rs_scheme", rs)),
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remoteSegmentsOverThreshold3: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_over_threshold_3").WithTag("rs_scheme", rs)),
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remoteSegmentsOverThreshold4: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_over_threshold_4").WithTag("rs_scheme", rs)),
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remoteSegmentsOverThreshold5: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "remote_segments_over_threshold_5").WithTag("rs_scheme", rs)),
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segmentsBelowMinReq: monkit.NewCounter(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "checker_segments_below_min_req").WithTag("rs_scheme", rs)),
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segmentTotalCount: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "checker_segment_total_count").WithTag("rs_scheme", rs)),
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segmentHealthyCount: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "checker_segment_healthy_count").WithTag("rs_scheme", rs)),
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segmentAge: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "checker_segment_age").WithTag("rs_scheme", rs)),
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segmentHealth: monkit.NewFloatVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "checker_segment_health").WithTag("rs_scheme", rs)),
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injuredSegmentHealth: monkit.NewFloatVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "checker_injured_segment_health").WithTag("rs_scheme", rs)),
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segmentTimeUntilIrreparable: monkit.NewIntVal(monkit.NewSeriesKey("tagged_repair_stats").WithTag("name", "checker_segment_time_until_irreparable").WithTag("rs_scheme", rs)),
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}
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}
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func (stats *stats) collectAggregates() {
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stats.objectsChecked.Observe(stats.iterationAggregates.objectsChecked)
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stats.remoteSegmentsChecked.Observe(stats.iterationAggregates.remoteSegmentsChecked)
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stats.remoteSegmentsNeedingRepair.Observe(stats.iterationAggregates.remoteSegmentsNeedingRepair)
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stats.newRemoteSegmentsNeedingRepair.Observe(stats.iterationAggregates.newRemoteSegmentsNeedingRepair)
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stats.remoteSegmentsLost.Observe(stats.iterationAggregates.remoteSegmentsLost)
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stats.objectsLost.Observe(int64(len(stats.iterationAggregates.remoteSegmentInfo)))
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stats.remoteSegmentsFailedToCheck.Observe(stats.iterationAggregates.remoteSegmentsFailedToCheck)
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stats.remoteSegmentsOverThreshold1.Observe(stats.iterationAggregates.remoteSegmentsOverThreshold[0])
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stats.remoteSegmentsOverThreshold2.Observe(stats.iterationAggregates.remoteSegmentsOverThreshold[1])
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stats.remoteSegmentsOverThreshold3.Observe(stats.iterationAggregates.remoteSegmentsOverThreshold[2])
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stats.remoteSegmentsOverThreshold4.Observe(stats.iterationAggregates.remoteSegmentsOverThreshold[3])
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stats.remoteSegmentsOverThreshold5.Observe(stats.iterationAggregates.remoteSegmentsOverThreshold[4])
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allUnhealthy := stats.iterationAggregates.remoteSegmentsNeedingRepair + stats.iterationAggregates.remoteSegmentsFailedToCheck
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allChecked := stats.iterationAggregates.remoteSegmentsChecked
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allHealthy := allChecked - allUnhealthy
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stats.remoteSegmentsHealthyPercentage.Observe(100 * float64(allHealthy) / float64(allChecked))
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}
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// Stats implements the monkit.StatSource interface.
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func (stats *stats) Stats(cb func(key monkit.SeriesKey, field string, val float64)) {
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stats.objectsChecked.Stats(cb)
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stats.remoteSegmentsChecked.Stats(cb)
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stats.remoteSegmentsNeedingRepair.Stats(cb)
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stats.newRemoteSegmentsNeedingRepair.Stats(cb)
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stats.remoteSegmentsLost.Stats(cb)
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stats.objectsLost.Stats(cb)
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stats.remoteSegmentsFailedToCheck.Stats(cb)
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stats.remoteSegmentsOverThreshold1.Stats(cb)
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stats.remoteSegmentsOverThreshold2.Stats(cb)
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stats.remoteSegmentsOverThreshold3.Stats(cb)
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stats.remoteSegmentsOverThreshold4.Stats(cb)
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stats.remoteSegmentsOverThreshold5.Stats(cb)
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stats.remoteSegmentsHealthyPercentage.Stats(cb)
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stats.segmentsBelowMinReq.Stats(cb)
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stats.segmentTotalCount.Stats(cb)
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stats.segmentHealthyCount.Stats(cb)
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stats.segmentAge.Stats(cb)
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stats.segmentHealth.Stats(cb)
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stats.injuredSegmentHealth.Stats(cb)
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stats.segmentTimeUntilIrreparable.Stats(cb)
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}
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func getRSString(min, repair, success, total int) string {
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return fmt.Sprintf("%d/%d/%d/%d", min, repair, success, total)
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}
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