func createApplicationStats(
appList *datastructs.ApplicationList,
logger *log.Logger,
tagvAdder suggest.Adder,
maybeNilMemoryManager *memoryManagerType) *datastructs.ApplicationStatuses {
var astore *store.Store
fmt.Println("Initialization started.")
if maybeNilMemoryManager != nil {
memoryManager := maybeNilMemoryManager
astore = store.NewStoreBytesPerPage(
*fBytesPerPage,
1,
*fThreshhold,
*fDegree)
astore.SetExpanding(true)
memoryManager.SetMemory(astore)
if err := memoryManager.RegisterMetrics(); err != nil {
log.Fatal(err)
}
} else {
astore = store.NewStoreBytesPerPage(
*fBytesPerPage, *fPageCount, *fThreshhold, *fDegree)
}
dirSpec, err := tricorder.RegisterDirectory("/store")
if err != nil {
log.Fatal(err)
}
if err := astore.RegisterMetrics(dirSpec); err != nil {
log.Fatal(err)
}
stats := datastructs.NewApplicationStatuses(appList, astore)
mdbChannel := mdbd.StartMdbDaemon(*fMdbFile, logger)
machines := <-mdbChannel
theHostNames := hostNames(machines.Machines)
for _, aName := range theHostNames {
tagvAdder.Add(aName)
}
stats.MarkHostsActiveExclusively(
duration.TimeToFloat(time.Now()), theHostNames)
fmt.Println("Initialization complete.")
// Endpoint refresher goroutine
go func() {
for {
machines := <-mdbChannel
stats.MarkHostsActiveExclusively(
duration.TimeToFloat(time.Now()),
hostNames(machines.Machines))
}
}()
return stats
}
// ToFloat converts a value of this type to a float64
// ToFloat panics if this type doesn't support conversion to float64
func (t Type) ToFloat(x interface{}) float64 {
switch t {
case Int8:
return float64(x.(int8))
case Int16:
return float64(x.(int16))
case Int32:
return float64(x.(int32))
case Int64:
return float64(x.(int64))
case Uint8:
return float64(x.(uint8))
case Uint16:
return float64(x.(uint16))
case Uint32:
return float64(x.(uint32))
case Uint64:
return float64(x.(uint64))
case Float32:
return float64(x.(float32))
case Float64:
return x.(float64)
case GoTime:
return duration.TimeToFloat(x.(time.Time))
case GoDuration:
return duration.ToFloat(x.(time.Duration))
default:
panic("Type doesn't support conversion to float")
}
}
func newStoreMetricsType() *storeMetricsType {
return &storeMetricsType{
PagesPerMetricDist: kBucketer.NewNonCumulativeDistribution(),
values: storePrimitiveMetricsType{
LatestEvictedTimeStamp: duration.TimeToFloat(time.Now()),
},
}
}
func (n *namedIteratorSameValueType) Next(r *store.Record) bool {
if n.numWritten == n.numToWrite {
return false
}
r.Info = n.info
r.Value = n.value
r.TimeStamp = duration.TimeToFloat(kNow)
r.Active = true
n.numWritten++
return true
}
func (n *namedIteratorForTestingType) Next(r *store.Record) bool {
if n.numWritten == n.numToWrite {
return false
}
r.Info = kInt64MetricInfo
r.Value = int64(n.numWritten)
r.TimeStamp = duration.TimeToFloat(kNow)
r.Active = true
n.numWritten++
return true
}
func (l *loggerType) LogResponse(
e *collector.Endpoint,
list metrics.List,
timestamp time.Time) error {
ts := duration.TimeToFloat(timestamp)
added, err := l.Store.AddBatch(
e,
ts,
list)
if err == nil {
l.reportNewNamesForSuggest(list)
l.AppStats.LogChangedMetricCount(e, added)
l.ChangedMetricsDist.Add(float64(added))
l.TotalCounts.Update(l.Store, e)
}
// This error just means that the endpoint was marked inactive
// during polling.
if err == store.ErrInactive {
return nil
}
return err
}
func asFloat64(r *pstore.Record) float64 {
switch r.Kind {
case types.Bool:
if r.Value.(bool) {
return 1.0
}
return 0.0
case types.Int8:
return float64(r.Value.(int8))
case types.Int16:
return float64(r.Value.(int16))
case types.Int32:
return float64(r.Value.(int32))
case types.Int64:
return float64(r.Value.(int64))
case types.Uint8:
return float64(r.Value.(uint8))
case types.Uint16:
return float64(r.Value.(uint16))
case types.Uint32:
return float64(r.Value.(uint32))
case types.Uint64:
return float64(r.Value.(uint64))
case types.Float32:
return float64(r.Value.(float32))
case types.Float64:
return r.Value.(float64)
case types.GoTime:
return duration.TimeToFloat(r.Value.(time.Time))
case types.GoDuration:
return duration.ToFloat(
r.Value.(time.Duration)) * units.FromSeconds(
r.Unit)
default:
panic("Unsupported type")
}
}
// gatherDataForEndpoint serves api/hosts pages.
// metricStore is the metric store.
// endpoint is the endpoint from which we are getting historical metrics.
// canonicalPath is the path of the metrics or the empty string for all
// metrics. canonicalPath is returned from canonicalisePath().
// history is the amount of time to go back in minutes.
// If isSingleton is true, fetched metrics have to match canonicalPath
// exactly.
// Otherwise fetched metrics have to be found underneath canonicalPath.
// On no match, gatherDataForEndpoint returns an empty
// messages.EndpointMetricsList instance
func gatherDataForEndpoint(
metricStore *store.Store,
endpoint *collector.Endpoint,
canonicalPath string,
history int,
isSingleton bool) (result messages.EndpointMetricList) {
result = make(messages.EndpointMetricList, 0)
now := duration.TimeToFloat(time.Now())
appender := newEndpointMetricsAppender(&result)
if canonicalPath == "" {
metricStore.ByEndpointStrategy(
endpoint,
now-60.0*float64(history),
math.Inf(1),
store.GroupMetricByKey,
appender)
} else {
metricStore.ByNameAndEndpointStrategy(
canonicalPath,
endpoint,
now-60.0*float64(history),
math.Inf(1),
store.GroupMetricByKey,
appender)
if len(result) == 0 && !isSingleton {
metricStore.ByPrefixAndEndpointStrategy(
canonicalPath+"/",
endpoint,
now-60.0*float64(history),
math.Inf(1),
store.GroupMetricByKey,
appender)
}
}
sortMetricsByPath(result)
return
}
// LookupBatch looks up all the metrics in one go and returns the
// following:
// fetched: timeSeries already in this collection keyed by Metric.
// values must be added to these manually.
// newOnes: timeSeries just added as a result of this lookup. Since these
// are new, the first value added automatically.
// notFetched: timeSeries in this collection but not fetched. These
// are the time series that should be marked inactive.
// ok is true if metrics can be added to this instance or false if this
// instance is inactive and closed for new metrics.
func (c *timeSeriesCollectionType) LookupBatch(
timestamp float64, mlist metrics.List) (
fetched map[*timeSeriesType]interface{},
newOnes, notFetched []*timeSeriesType,
fetchedTimeStamps map[*timestampSeriesType]float64,
newTs []*timestampSeriesType,
notFetchedTimeStamps []*timestampSeriesType,
err error) {
if err = metrics.VerifyList(mlist); err != nil {
return
}
c.lock.Lock()
defer c.lock.Unlock()
if !c.active {
err = ErrInactive
return
}
valueByMetric := make(map[*MetricInfo]interface{})
timestampByGroupId := make(map[int]float64)
groupIds := make(map[int]bool)
fetched = make(map[*timeSeriesType]interface{})
fetchedTimeStamps = make(map[*timestampSeriesType]float64)
mlen := mlist.Len()
for i := 0; i < mlen; i++ {
var avalue metrics.Value
mlist.Index(i, &avalue)
kind, subType := types.FromGoValueWithSubType(avalue.Value)
id := c.metricInfoStore.Register(&avalue, kind, subType)
if kind == types.Dist {
distributionRollOvers := c.distributionRollOversByPath[avalue.Path]
if distributionRollOvers == nil {
distributionRollOvers = &distributionRollOverType{}
c.distributionRollOversByPath[avalue.Path] = distributionRollOvers
}
distribution := avalue.Value.(*messages.Distribution)
rollOverCount := distributionRollOvers.UpdateAndFetchRollOverCount(
id.Ranges(), distribution.Generation)
currentDistributionTotals := &DistributionTotals{
Counts: distExtractCounts(distribution),
Sum: distribution.Sum,
RollOverCount: rollOverCount,
}
valueByMetric[id] = currentDistributionTotals
} else {
valueByMetric[id] = avalue.Value
}
groupIds[id.GroupId()] = true
if !avalue.TimeStamp.IsZero() {
timestampByGroupId[id.GroupId()] = duration.TimeToFloat(avalue.TimeStamp)
}
}
// If a group ID is missing a timestamp, give it the
// timestamp from scotty.
for groupId := range groupIds {
if _, ok := timestampByGroupId[groupId]; !ok {
timestampByGroupId[groupId] = timestamp
}
}
// populate notFetched
for id, series := range c.timeSeries {
if _, ok := valueByMetric[id]; !ok {
notFetched = append(notFetched, series)
}
}
// populate fetched and newOnes
for id, value := range valueByMetric {
if c.timeSeries[id] == nil {
thisTs := timestampByGroupId[id.GroupId()]
c.timeSeries[id] = newTimeSeriesType(
id, thisTs, value, c.metrics)
newOnes = append(newOnes, c.timeSeries[id])
} else {
fetched[c.timeSeries[id]] = value
}
}
// populate notFetchedTimeStamps
for groupId, series := range c.timestampSeries {
if _, ok := timestampByGroupId[groupId]; !ok {
notFetchedTimeStamps = append(
notFetchedTimeStamps, series)
}
}
// populate fetchedTimeStamps and newTs
for groupId, ts := range timestampByGroupId {
if c.timestampSeries[groupId] == nil {
c.timestampSeries[groupId] = newTimeStampSeriesType(
groupId, ts, c.metrics)
newTs = append(newTs, c.timestampSeries[groupId])
} else {
fetchedTimeStamps[c.timestampSeries[groupId]] = ts
}
}
return
}
// TODO: Remove once we know the grafana bug involving duplicate timestamps
// is fixed.
func newPathAndMillisType(record *pstore.Record) pathAndMillisType {
return pathAndMillisType{
Path: record.Path,
Millis: int64(duration.TimeToFloat(record.Timestamp) * 1000.0)}
}
