mirror of
https://github.com/hanzoai/traces.git
synced 2026-10-30 18:20:41 +00:00
* Add metrics-generator component * Add some initial logic to make the generator module optional * Rename tempo_distributor_metrics_generator_clients metric * Periodical check in: add remote-write setup * jsonnet: rename generator -> metrics_generator * Periodical check in: add instance, copy servicegraphprocessor over, add scrape endpoint * Fix make test * Support spanmetrics via OTel collector Generator is now able to run an embedded OTel collector. This allows to run any number of processors, which includes spanmetrics. This collector uses a custom metrics exporter and a remote write client. Metrics generated by the spanmetrics processor are converted to Prometheus and appended to the remote write client's WAL, which will export the metric data after commit. * Implement internal spanmetrics processor * Add latency metrics * Only loop one for latency metrics * Improve how metrics are collected, some bug fixes Changes: - Remote write was constantly failing with “out of order samples”. Fix: apparently the timestamp has to be in milliseconds, not in seconds. There is not a lot of documentation on the Prometheus interfaces, but the cortex proto has a field timestampMs. - After this remote write was failing with label name \"le\" is not unique: invalid sample. Fix: there was a bug in the append logic of the labels array. Since you were reusing the labels variable in a for-loop, the le label was added multiple times. Initially I thought pushing metrics on every push request was causing the out-of-order issues, so I refactored the processor a bit to have both a PushSpans and a CollectMetrics method. CollectMetrics is called every 15s with a storage.Appender. This way we can also use a single appender for multiple processors, This wasn’t necessary to get it working, but I think this is the logic we want to end up with (i.e. don’t send samples too often to keep DPM low). * make vendor-check * Add spanmetrics_test.go * jsonnet: add metrics-generator service * Add distributor.enable_metrics_generator_ring; some bug fixes * Remove unused Registerer and scrape endpoint code; sprinkle some more TODO's around * Add crude mechanism to trim active series in span metrics processor * span metrics: add delete_after_last_update * Admit config parameters in spanmetrics processor Histogram buckets and additional dimensions can be configured * Initial implementation of service graphs processor * Hook up service graph processor Store - make sure tests pass - fix copy-paste error in shouldEvictHead Service graphs - ensure metric names align with agent - server latencies were overwriting client latencies - expose operational metrics * Rename metrics from generator_processor_... to metrics_generator_processor_... * Set up BasicLifecycler, load balance spans across metrics-generator * Replace processor.CollectMetrics with a custom prometheus.Registerer Changes: Service graphs processor - replaced code to manually build metrics with CounterVec and HistogramVec - aligned metric names with the agent - commented out code around collectCh, this was leaking memory Span metrics processor - replaced code to manually build metrics with CounterVec and HistogramVec Introduced Registry to bridge prometheus.Registerer and storage.Appender Add support for configuring external labels Fix generator_test.go * make vendor-check * Refactor remote-write structures, add tests * Add add_instance_id_label config * Split write requests up to a max msg size Builds write requests up to a max size and sends them sequentially. * Service graphs: collect edges when completed When an edge is completed, it's sent to be collected by a number of goroutines that call collectEdge. Edges can also be collected when expired. * Store: interface: give paramaters names * Service graphs: Close closech * Simplify evict method name * Move remote_write to its own method * Add metrics_generator_processors to overrides, dynamically create/remove processors * Add tests for split requests in remote write appender * Refactor distributor code a bit * Make collection interval configurable * Add concurrency test for instance * Minor tweaks * Add metrics to track failed active processors updates * Tweak remote write metrics * Add exemplars support * Fix latency measurement in spanmetrics processor * Fix typo * Change metrics generator enabled config var * Return ready when generator is registered in the ring * Add read-only mode during generator shutdown * Configure docker-compose distributed to work with metrics generator * Enable pushing bytes to metrics-generator * Remove cortex from distributed example * Replace cortexpb -> prompb, move all remote-write stuff into remotewrite package * Set context timeout when collecting metrics, remove hola * Protect readOnly from concurrency * Update vendor * Rename metrics prefix span_metrics to spanmetrics This matches the naming from OTel spanmetrics processor * Always add le="+Inf" bucket when not set already * Fix lint errors * Fix compactor test Test was writing tempodb.Trace to the WAL, instead of tempodb.TraceBytes * Move expire goroutine to collector workers * Move metrics_generator_enabled to the top-level config * Update docker-compose distributor example * Use snappy from klauspost/compress * Fix distributor test after moving metrics_generator_enabled flag * Reorganize how processors are updated, simplify use of locks * Stub time in processor tests * Fix how label slices are handled in registry * jsonnet: disable metrics-generator by default * Regenerate kube manifests * Pin time.Now in test with registry * Update CHANGELOG.md Co-authored-by: Koenraad Verheyden <[email protected]>
101 lines
2.4 KiB
Go
101 lines
2.4 KiB
Go
// Package backoff provides an exponential-backoff implementation.
|
|
package backoff
|
|
|
|
import (
|
|
"math"
|
|
"math/rand"
|
|
"sync/atomic"
|
|
"time"
|
|
)
|
|
|
|
// Backoff is a time.Duration counter, starting at Min. After every call to
|
|
// the Duration method the current timing is multiplied by Factor, but it
|
|
// never exceeds Max.
|
|
//
|
|
// Backoff is not generally concurrent-safe, but the ForAttempt method can
|
|
// be used concurrently.
|
|
type Backoff struct {
|
|
attempt uint64
|
|
// Factor is the multiplying factor for each increment step
|
|
Factor float64
|
|
// Jitter eases contention by randomizing backoff steps
|
|
Jitter bool
|
|
// Min and Max are the minimum and maximum values of the counter
|
|
Min, Max time.Duration
|
|
}
|
|
|
|
// Duration returns the duration for the current attempt before incrementing
|
|
// the attempt counter. See ForAttempt.
|
|
func (b *Backoff) Duration() time.Duration {
|
|
d := b.ForAttempt(float64(atomic.AddUint64(&b.attempt, 1) - 1))
|
|
return d
|
|
}
|
|
|
|
const maxInt64 = float64(math.MaxInt64 - 512)
|
|
|
|
// ForAttempt returns the duration for a specific attempt. This is useful if
|
|
// you have a large number of independent Backoffs, but don't want use
|
|
// unnecessary memory storing the Backoff parameters per Backoff. The first
|
|
// attempt should be 0.
|
|
//
|
|
// ForAttempt is concurrent-safe.
|
|
func (b *Backoff) ForAttempt(attempt float64) time.Duration {
|
|
// Zero-values are nonsensical, so we use
|
|
// them to apply defaults
|
|
min := b.Min
|
|
if min <= 0 {
|
|
min = 100 * time.Millisecond
|
|
}
|
|
max := b.Max
|
|
if max <= 0 {
|
|
max = 10 * time.Second
|
|
}
|
|
if min >= max {
|
|
// short-circuit
|
|
return max
|
|
}
|
|
factor := b.Factor
|
|
if factor <= 0 {
|
|
factor = 2
|
|
}
|
|
//calculate this duration
|
|
minf := float64(min)
|
|
durf := minf * math.Pow(factor, attempt)
|
|
if b.Jitter {
|
|
durf = rand.Float64()*(durf-minf) + minf
|
|
}
|
|
//ensure float64 wont overflow int64
|
|
if durf > maxInt64 {
|
|
return max
|
|
}
|
|
dur := time.Duration(durf)
|
|
//keep within bounds
|
|
if dur < min {
|
|
return min
|
|
}
|
|
if dur > max {
|
|
return max
|
|
}
|
|
return dur
|
|
}
|
|
|
|
// Reset restarts the current attempt counter at zero.
|
|
func (b *Backoff) Reset() {
|
|
atomic.StoreUint64(&b.attempt, 0)
|
|
}
|
|
|
|
// Attempt returns the current attempt counter value.
|
|
func (b *Backoff) Attempt() float64 {
|
|
return float64(atomic.LoadUint64(&b.attempt))
|
|
}
|
|
|
|
// Copy returns a backoff with equals constraints as the original
|
|
func (b *Backoff) Copy() *Backoff {
|
|
return &Backoff{
|
|
Factor: b.Factor,
|
|
Jitter: b.Jitter,
|
|
Min: b.Min,
|
|
Max: b.Max,
|
|
}
|
|
}
|