prometheus/tsdb/chunks/chunk_write_queue.go
Peter Štibraný 03a2313f7a
Reduce chunk write queue memory usage (#10873)
* dont waste space on the chunkRefMap
* add time factor
* add comments
* better readability
* add instrumentation and more comments
* formatting
* uppercase comments
* Address review feedback. Renamed "free" to "shrink" everywhere, updated comments and threshold to 1000.
* double space

Signed-off-by: Mauro Stettler <mauro.stettler@gmail.com>
Co-authored-by: Peter Štibraný <pstibrany@gmail.com>

Co-authored-by: Mauro Stettler <mauro.stettler@gmail.com>
2022-06-17 13:11:39 +05:30

244 lines
7 KiB
Go

// Copyright 2021 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package chunks
import (
"errors"
"sync"
"time"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/prometheus/tsdb/chunkenc"
)
const (
// Minimum recorded peak since since the last shrinking of chunkWriteQueue.chunkrefMap to shrink it again.
chunkRefMapShrinkThreshold = 1000
// Minimum interval between shrinking of chunkWriteQueue.chunkRefMap.
chunkRefMapMinShrinkInterval = 10 * time.Minute
)
type chunkWriteJob struct {
cutFile bool
seriesRef HeadSeriesRef
mint int64
maxt int64
chk chunkenc.Chunk
ref ChunkDiskMapperRef
callback func(error)
}
// chunkWriteQueue is a queue for writing chunks to disk in a non-blocking fashion.
// Chunks that shall be written get added to the queue, which is consumed asynchronously.
// Adding jobs to the queue is non-blocking as long as the queue isn't full.
type chunkWriteQueue struct {
jobs chan chunkWriteJob
chunkRefMapMtx sync.RWMutex
chunkRefMap map[ChunkDiskMapperRef]chunkenc.Chunk
chunkRefMapPeakSize int // Largest size that chunkRefMap has grown to since the last time we shrank it.
chunkRefMapLastShrink time.Time // When the chunkRefMap has been shrunk the last time.
// isRunningMtx serves two purposes:
// 1. It protects isRunning field.
// 2. It serializes adding of jobs to the chunkRefMap in addJob() method. If jobs channel is full then addJob() will block
// while holding this mutex, which guarantees that chunkRefMap won't ever grow beyond the queue size + 1.
isRunningMtx sync.Mutex
isRunning bool // Used to prevent that new jobs get added to the queue when the chan is already closed.
workerWg sync.WaitGroup
writeChunk writeChunkF
// Keeping separate counters instead of only a single CounterVec to improve the performance of the critical
// addJob() method which otherwise would need to perform a WithLabelValues call on the CounterVec.
adds prometheus.Counter
gets prometheus.Counter
completed prometheus.Counter
shrink prometheus.Counter
}
// writeChunkF is a function which writes chunks, it is dynamic to allow mocking in tests.
type writeChunkF func(HeadSeriesRef, int64, int64, chunkenc.Chunk, ChunkDiskMapperRef, bool) error
func newChunkWriteQueue(reg prometheus.Registerer, size int, writeChunk writeChunkF) *chunkWriteQueue {
counters := prometheus.NewCounterVec(
prometheus.CounterOpts{
Name: "prometheus_tsdb_chunk_write_queue_operations_total",
Help: "Number of operations on the chunk_write_queue.",
},
[]string{"operation"},
)
q := &chunkWriteQueue{
jobs: make(chan chunkWriteJob, size),
chunkRefMap: make(map[ChunkDiskMapperRef]chunkenc.Chunk),
chunkRefMapLastShrink: time.Now(),
writeChunk: writeChunk,
adds: counters.WithLabelValues("add"),
gets: counters.WithLabelValues("get"),
completed: counters.WithLabelValues("complete"),
shrink: counters.WithLabelValues("shrink"),
}
if reg != nil {
reg.MustRegister(counters)
}
q.start()
return q
}
func (c *chunkWriteQueue) start() {
c.workerWg.Add(1)
go func() {
defer c.workerWg.Done()
for job := range c.jobs {
c.processJob(job)
}
}()
c.isRunningMtx.Lock()
c.isRunning = true
c.isRunningMtx.Unlock()
}
func (c *chunkWriteQueue) processJob(job chunkWriteJob) {
err := c.writeChunk(job.seriesRef, job.mint, job.maxt, job.chk, job.ref, job.cutFile)
if job.callback != nil {
job.callback(err)
}
c.chunkRefMapMtx.Lock()
defer c.chunkRefMapMtx.Unlock()
delete(c.chunkRefMap, job.ref)
c.completed.Inc()
c.shrinkChunkRefMap()
}
// shrinkChunkRefMap checks whether the conditions to shrink the chunkRefMap are met,
// if so chunkRefMap is reinitialized. The chunkRefMapMtx must be held when calling this method.
//
// We do this because Go runtime doesn't release internal memory used by map after map has been emptied.
// To achieve that we create new map instead and throw the old one away.
func (c *chunkWriteQueue) shrinkChunkRefMap() {
if len(c.chunkRefMap) > 0 {
// Can't shrink it while there is data in it.
return
}
if c.chunkRefMapPeakSize < chunkRefMapShrinkThreshold {
// Not shrinking it because it has not grown to the minimum threshold yet.
return
}
now := time.Now()
if now.Sub(c.chunkRefMapLastShrink) < chunkRefMapMinShrinkInterval {
// Not shrinking it because the minimum duration between shrink-events has not passed yet.
return
}
// Re-initialize the chunk ref map to half of the peak size that it has grown to since the last re-init event.
// We are trying to hit the sweet spot in the trade-off between initializing it to a very small size
// potentially resulting in many allocations to re-grow it, and initializing it to a large size potentially
// resulting in unused allocated memory.
c.chunkRefMap = make(map[ChunkDiskMapperRef]chunkenc.Chunk, c.chunkRefMapPeakSize/2)
c.chunkRefMapPeakSize = 0
c.chunkRefMapLastShrink = now
c.shrink.Inc()
}
func (c *chunkWriteQueue) addJob(job chunkWriteJob) (err error) {
defer func() {
if err == nil {
c.adds.Inc()
}
}()
c.isRunningMtx.Lock()
defer c.isRunningMtx.Unlock()
if !c.isRunning {
return errors.New("queue is not running")
}
c.chunkRefMapMtx.Lock()
c.chunkRefMap[job.ref] = job.chk
// Keep track of the peak usage of c.chunkRefMap.
if len(c.chunkRefMap) > c.chunkRefMapPeakSize {
c.chunkRefMapPeakSize = len(c.chunkRefMap)
}
c.chunkRefMapMtx.Unlock()
c.jobs <- job
return nil
}
func (c *chunkWriteQueue) get(ref ChunkDiskMapperRef) chunkenc.Chunk {
c.chunkRefMapMtx.RLock()
defer c.chunkRefMapMtx.RUnlock()
chk, ok := c.chunkRefMap[ref]
if ok {
c.gets.Inc()
}
return chk
}
func (c *chunkWriteQueue) stop() {
c.isRunningMtx.Lock()
defer c.isRunningMtx.Unlock()
if !c.isRunning {
return
}
c.isRunning = false
close(c.jobs)
c.workerWg.Wait()
}
func (c *chunkWriteQueue) queueIsEmpty() bool {
return c.queueSize() == 0
}
func (c *chunkWriteQueue) queueIsFull() bool {
// When the queue is full and blocked on the writer the chunkRefMap has one more job than the cap of the jobCh
// because one job is currently being processed and blocked in the writer.
return c.queueSize() == cap(c.jobs)+1
}
func (c *chunkWriteQueue) queueSize() int {
c.chunkRefMapMtx.Lock()
defer c.chunkRefMapMtx.Unlock()
// Looking at chunkRefMap instead of jobCh because the job is popped from the chan before it has
// been fully processed, it remains in the chunkRefMap until the processing is complete.
return len(c.chunkRefMap)
}