d6a948f59d
implemented observer and partial, created new structures to keep mon metrics remain in same way as in segment loop Change-Id: I209c126096c84b94d4717332e56238266f6cd004
140 lines
8.7 KiB
Go
140 lines
8.7 KiB
Go
// Copyright (C) 2023 Storj Labs, Inc.
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// See LICENSE for copying information.
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package checker
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import "github.com/spacemonkeygo/monkit/v3"
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type observerRSStats struct {
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// iterationAggregates contains the aggregated counters across all partials.
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// The values are observed by the distributions in iterationStats
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iterationAggregates aggregateStats
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// iterationStats are the distributions for per-iteration stats. The distributions
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// are updated using iterationAggregates after each loop iteration completes.
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iterationStats iterationRSStats
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// segmentStats contains threadsafe distributions and is shared by all partials. The
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// distributions are updated when processing the segment.
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segmentStats *segmentRSStats
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}
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// Stats implements the monkit.StatSource interface.
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func (stats *observerRSStats) Stats(cb func(key monkit.SeriesKey, field string, val float64)) {
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stats.iterationStats.objectsChecked.Stats(cb)
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stats.iterationStats.remoteSegmentsChecked.Stats(cb)
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stats.iterationStats.remoteSegmentsNeedingRepair.Stats(cb)
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stats.iterationStats.newRemoteSegmentsNeedingRepair.Stats(cb)
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stats.iterationStats.remoteSegmentsLost.Stats(cb)
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stats.iterationStats.objectsLost.Stats(cb)
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stats.iterationStats.remoteSegmentsFailedToCheck.Stats(cb)
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stats.iterationStats.remoteSegmentsHealthyPercentage.Stats(cb)
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stats.iterationStats.remoteSegmentsOverThreshold1.Stats(cb)
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stats.iterationStats.remoteSegmentsOverThreshold2.Stats(cb)
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stats.iterationStats.remoteSegmentsOverThreshold3.Stats(cb)
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stats.iterationStats.remoteSegmentsOverThreshold4.Stats(cb)
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stats.iterationStats.remoteSegmentsOverThreshold5.Stats(cb)
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stats.segmentStats.segmentsBelowMinReq.Stats(cb)
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stats.segmentStats.segmentTotalCount.Stats(cb)
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stats.segmentStats.segmentHealthyCount.Stats(cb)
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stats.segmentStats.segmentAge.Stats(cb)
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stats.segmentStats.segmentHealth.Stats(cb)
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stats.segmentStats.injuredSegmentHealth.Stats(cb)
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stats.segmentStats.segmentTimeUntilIrreparable.Stats(cb)
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}
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type iterationRSStats struct {
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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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}
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func newIterationRSStats(rs string) iterationRSStats {
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return iterationRSStats{
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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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}
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}
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type partialRSStats struct {
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// iterationAggregates are counts aggregated by each partial for stats for the whole loop
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// and are aggregated into the observer during join. These aggregated counters
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// are tallied into distributions at the end of each loop.
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iterationAggregates aggregateStats
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// segmentStats contains thread-safe distributions and is shared by all partials. The
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// distributions are updated when processing the segment.
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segmentStats *segmentRSStats
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}
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type segmentRSStats struct {
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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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func newSegmentRSStats(rs string) *segmentRSStats {
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return &segmentRSStats{
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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 *observerRSStats) collectAggregates() {
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stats.iterationStats.objectsChecked.Observe(stats.iterationAggregates.objectsChecked)
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stats.iterationStats.remoteSegmentsChecked.Observe(stats.iterationAggregates.remoteSegmentsChecked)
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stats.iterationStats.remoteSegmentsNeedingRepair.Observe(stats.iterationAggregates.remoteSegmentsNeedingRepair)
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stats.iterationStats.newRemoteSegmentsNeedingRepair.Observe(stats.iterationAggregates.newRemoteSegmentsNeedingRepair)
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stats.iterationStats.remoteSegmentsLost.Observe(stats.iterationAggregates.remoteSegmentsLost)
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stats.iterationStats.objectsLost.Observe(int64(len(stats.iterationAggregates.objectsLost)))
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stats.iterationStats.remoteSegmentsFailedToCheck.Observe(stats.iterationAggregates.remoteSegmentsFailedToCheck)
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stats.iterationStats.remoteSegmentsOverThreshold1.Observe(stats.iterationAggregates.remoteSegmentsOverThreshold[0])
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stats.iterationStats.remoteSegmentsOverThreshold2.Observe(stats.iterationAggregates.remoteSegmentsOverThreshold[1])
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stats.iterationStats.remoteSegmentsOverThreshold3.Observe(stats.iterationAggregates.remoteSegmentsOverThreshold[2])
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stats.iterationStats.remoteSegmentsOverThreshold4.Observe(stats.iterationAggregates.remoteSegmentsOverThreshold[3])
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stats.iterationStats.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.iterationStats.remoteSegmentsHealthyPercentage.Observe(100 * float64(allHealthy) / float64(allChecked))
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// resetting iteration aggregates after loop run finished
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stats.iterationAggregates = aggregateStats{}
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}
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