5c49ba1d85
To get better performance, we pre-load all nodealias/node information at the beginning of the segment loop. It's possible that we receive a new node alias from the segment table what we are not fully aware of (yet). The easiest solution is just ignoring. New risks/threats can be detected by a new execution cycle. Change-Id: Ib54f7edc46eedbab6d13b4d651aaac1425994940
262 lines
7.4 KiB
Go
262 lines
7.4 KiB
Go
// Copyright (C) 2023 Storj Labs, Inc.
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// See LICENSE for copying information.
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package durability
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import (
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"context"
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"time"
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"github.com/jtolio/eventkit"
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"github.com/zeebo/errs"
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"storj.io/common/storj"
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"storj.io/storj/satellite/metabase"
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"storj.io/storj/satellite/metabase/rangedloop"
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"storj.io/storj/satellite/nodeselection"
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"storj.io/storj/satellite/overlay"
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)
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var ek = eventkit.Package()
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// HealthStat collects the availability conditions for one class (for example: nodes with the same owner).
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type HealthStat struct {
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// because 0 means uninitialized, we store the min +1
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minPlusOne int
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}
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// Update updates the stat with one measurement: number of pieces which are available even without the nodes of the selected class.
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func (h *HealthStat) Update(num int) {
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if num < h.minPlusOne-1 || h.minPlusOne == 0 {
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h.minPlusOne = num + 1
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}
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}
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// Merge can merge two stat to one, without losing information.
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func (h *HealthStat) Merge(stat *HealthStat) {
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if stat.minPlusOne < h.minPlusOne && stat.minPlusOne > 0 {
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h.minPlusOne = stat.minPlusOne
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}
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}
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// Min returns the minimal number.
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func (h *HealthStat) Min() int {
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return h.minPlusOne - 1
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}
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// Unused returns true when stat is uninitialized (-1) and was not updated with any number.
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func (h *HealthStat) Unused() bool {
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return h.minPlusOne == 0
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}
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// NodeClassifier identifies a risk class (for example an owner, or country) of the SelectedNode.
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type NodeClassifier func(node *nodeselection.SelectedNode) string
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// ReportConfig configures durability report.
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type ReportConfig struct {
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Enabled bool `help:"whether to enable durability report (rangedloop observer)" default:"true"`
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}
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// Report is a calculator (rangloop.Observer) which checks the availability of pieces without certain nodes.
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// It can answer the following question:
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// 1. loosing a given group of nodes (all nodes of one country or all nodes of one owner)...
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// 2. what will be the lowest humber of healhty pieces, checking all the segments.
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//
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// Example: we have one segment where 80 pieces are stored, but 42 of them are in Germany.
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//
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// in this case this reporter will return 38 for the class "country:DE" (assuming all the other segments are more lucky).
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type Report struct {
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healthStat map[string]*HealthStat
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classifiers []NodeClassifier
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aliasMap *metabase.NodeAliasMap
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nodes map[storj.NodeID]*nodeselection.SelectedNode
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db overlay.DB
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metabaseDB *metabase.DB
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reporter func(name string, stat *HealthStat)
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reportThreshold int
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asOfSystemInterval time.Duration
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}
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// NewDurability creates the new instance.
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func NewDurability(db overlay.DB, metabaseDB *metabase.DB, classifiers []NodeClassifier, reportThreshold int, asOfSystemInterval time.Duration) *Report {
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return &Report{
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db: db,
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metabaseDB: metabaseDB,
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classifiers: classifiers,
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reportThreshold: reportThreshold,
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asOfSystemInterval: asOfSystemInterval,
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nodes: make(map[storj.NodeID]*nodeselection.SelectedNode),
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healthStat: make(map[string]*HealthStat),
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reporter: reportToEventkit,
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}
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}
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// Start implements rangedloop.Observer.
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func (c *Report) Start(ctx context.Context, startTime time.Time) error {
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nodes, err := c.db.GetParticipatingNodes(ctx, -12*time.Hour, c.asOfSystemInterval)
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if err != nil {
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return errs.Wrap(err)
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}
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c.nodes = map[storj.NodeID]*nodeselection.SelectedNode{}
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for ix := range nodes {
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c.nodes[nodes[ix].ID] = &nodes[ix]
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}
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aliasMap, err := c.metabaseDB.LatestNodesAliasMap(ctx)
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if err != nil {
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return errs.Wrap(err)
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}
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c.aliasMap = aliasMap
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return nil
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}
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// Fork implements rangedloop.Observer.
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func (c *Report) Fork(ctx context.Context) (rangedloop.Partial, error) {
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d := &ObserverFork{
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classifiers: c.classifiers,
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healthStat: nil,
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aliasMap: c.aliasMap,
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nodes: c.nodes,
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classifierCache: make([][]string, c.aliasMap.Max()+1),
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reportThreshold: c.reportThreshold,
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}
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d.classifyNodeAliases()
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return d, nil
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}
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// Join implements rangedloop.Observer.
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func (c *Report) Join(ctx context.Context, partial rangedloop.Partial) (err error) {
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defer mon.Task()(&ctx)(&err)
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fork := partial.(*ObserverFork)
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for cid, stat := range fork.healthStat {
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if stat.Unused() {
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continue
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}
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name := fork.className[classID(cid)]
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existing, found := c.healthStat[name]
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if !found {
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c.healthStat[name] = &HealthStat{
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minPlusOne: stat.minPlusOne,
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}
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} else {
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existing.Merge(&stat)
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}
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}
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return nil
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}
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// Finish implements rangedloop.Observer.
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func (c *Report) Finish(ctx context.Context) error {
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for name, stat := range c.healthStat {
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c.reporter(name, stat)
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}
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return nil
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}
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// TestChangeReporter modifies the reporter for unit tests.
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func (c *Report) TestChangeReporter(r func(name string, stat *HealthStat)) {
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c.reporter = r
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}
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// classID is a fork level short identifier for each class.
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type classID int32
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// ObserverFork is the durability calculator for each segment range.
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type ObserverFork struct {
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// map between classes (like "country:hu" and integer IDs)
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classID map[string]classID
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className map[classID]string
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controlledByClassCache []int32
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healthStat []HealthStat
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classifiers []NodeClassifier
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aliasMap *metabase.NodeAliasMap
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nodes map[storj.NodeID]*nodeselection.SelectedNode
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classifierCache [][]string
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// contains the available classes for each node alias.
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classified [][]classID
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reportThreshold int
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}
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func (c *ObserverFork) classifyNodeAliases() {
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c.classID = make(map[string]classID, len(c.classifiers))
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c.className = make(map[classID]string, len(c.classifiers))
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c.classified = make([][]classID, c.aliasMap.Max()+1)
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for _, node := range c.nodes {
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alias, ok := c.aliasMap.Alias(node.ID)
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if !ok {
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continue
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}
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classes := make([]classID, len(c.classifiers))
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for i, group := range c.classifiers {
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class := group(node)
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id, ok := c.classID[class]
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if !ok {
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id = classID(len(c.classID))
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c.className[id] = class
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c.classID[class] = id
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}
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classes[i] = id
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}
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c.classified[alias] = classes
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}
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c.healthStat = make([]HealthStat, len(c.classID))
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c.controlledByClassCache = make([]int32, len(c.classID))
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}
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// Process implements rangedloop.Partial.
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func (c *ObserverFork) Process(ctx context.Context, segments []rangedloop.Segment) (err error) {
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controlledByClass := c.controlledByClassCache
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for i := range segments {
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s := &segments[i]
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healthyPieceCount := 0
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for _, piece := range s.AliasPieces {
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if len(c.classified) <= int(piece.Alias) {
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// this is a new node, but we can ignore it.
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// will be included in the next execution cycle.
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continue
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}
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classes := c.classified[piece.Alias]
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// unavailable/offline nodes were not classified
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if len(classes) > 0 {
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healthyPieceCount++
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}
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for _, class := range classes {
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controlledByClass[class]++
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}
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}
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for classID, count := range controlledByClass {
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if count == 0 {
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continue
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}
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// reset the value for the next iteration
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controlledByClass[classID] = 0
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diff := healthyPieceCount - int(count)
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// if value is high, it's not a problem. faster to ignore it...
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if c.reportThreshold > 0 && diff > c.reportThreshold {
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continue
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}
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c.healthStat[classID].Update(diff)
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}
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}
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return nil
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}
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func reportToEventkit(name string, stat *HealthStat) {
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ek.Event("durability", eventkit.String("name", name), eventkit.Int64("min", int64(stat.Min())))
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}
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var _ rangedloop.Observer = &Report{}
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var _ rangedloop.Partial = &ObserverFork{}
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