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storj/satellite/repair/checker/checkerstats.go
paul cannon 915f3952af satellite/repair: repair pieces on the same last_net 
We avoid putting more than one piece of a segment on the same /24
network (or /64 for ipv6). However, it is possible for multiple pieces
of the same segment to move to the same network over time. Nodes can
change addresses, or segments could be uploaded with dev settings, etc.
We will call such pieces "clumped", as they are clumped into the same
net, and are much more likely to be lost or preserved together.

This change teaches the repair checker to recognize segments which have
clumped pieces, and put them in the repair queue. It also teaches the
repair worker to repair such segments (treating clumped pieces as
"retrievable but unhealthy"; i.e., they will be replaced on new nodes if
possible).

Refs: https://github.com/storj/storj/issues/5391
Change-Id: Iaa9e339fee8f80f4ad39895438e9f18606338908
2023-04-06 17:34:25 +00:00

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