prometheus/storage/metric/processor.go
Matt T. Proud a73f061d3c Persist solely Protocol Buffers.
An design question was open for me in the beginning was whether to
serialize other types to disk, but Protocol Buffers quickly won out,
which allows us to drop support for other types.  This is a good
start to cleaning up a lot of cruft in the storage stack and
can let us eventually decouple the various moving parts into
separate subsystems for easier reasoning.

This commit is not strictly required, but it is a start to making
the rest a lot more enjoyable to interact with.
2013-06-08 11:02:35 +02:00

353 lines
11 KiB
Go

// Copyright 2013 Prometheus Team
// 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 metric
import (
"fmt"
"time"
"code.google.com/p/goprotobuf/proto"
dto "github.com/prometheus/prometheus/model/generated"
"github.com/prometheus/prometheus/model"
"github.com/prometheus/prometheus/storage/raw"
"github.com/prometheus/prometheus/storage/raw/leveldb"
)
// processor models a post-processing agent that performs work given a sample
// corpus.
type Processor interface {
// Name emits the name of this processor's signature encoder. It must be
// fully-qualified in the sense that it could be used via a Protocol Buffer
// registry to extract the descriptor to reassemble this message.
Name() string
// Signature emits a byte signature for this process for the purpose of
// remarking how far along it has been applied to the database.
Signature() (signature []byte, err error)
// Apply runs this processor against the sample set. sampleIterator expects
// to be pre-seeked to the initial starting position. The processor will
// run until up until stopAt has been reached. It is imperative that the
// provided stopAt is within the interval of the series frontier.
//
// Upon completion or error, the last time at which the processor finished
// shall be emitted in addition to any errors.
Apply(sampleIterator leveldb.Iterator, samplesPersistence raw.Persistence, stopAt time.Time, fingerprint *model.Fingerprint) (lastCurated time.Time, err error)
}
// CompactionProcessor combines sparse values in the database together such
// that at least MinimumGroupSize-sized chunks are grouped together.
type CompactionProcessor struct {
// MaximumMutationPoolBatch represents approximately the largest pending
// batch of mutation operations for the database before pausing to
// commit before resumption.
//
// A reasonable value would be (MinimumGroupSize * 2) + 1.
MaximumMutationPoolBatch int
// MinimumGroupSize represents the smallest allowed sample chunk size in the
// database.
MinimumGroupSize int
// signature is the byte representation of the CompactionProcessor's settings,
// used for purely memoization purposes across an instance.
signature []byte
}
func (p CompactionProcessor) Name() string {
return "io.prometheus.CompactionProcessorDefinition"
}
func (p *CompactionProcessor) Signature() (out []byte, err error) {
if len(p.signature) == 0 {
out, err = proto.Marshal(&dto.CompactionProcessorDefinition{
MinimumGroupSize: proto.Uint32(uint32(p.MinimumGroupSize)),
})
p.signature = out
}
out = p.signature
return
}
func (p CompactionProcessor) String() string {
return fmt.Sprintf("compactionProcessor for minimum group size %d", p.MinimumGroupSize)
}
func (p CompactionProcessor) Apply(sampleIterator leveldb.Iterator, samplesPersistence raw.Persistence, stopAt time.Time, fingerprint *model.Fingerprint) (lastCurated time.Time, err error) {
var pendingBatch raw.Batch = nil
defer func() {
if pendingBatch != nil {
pendingBatch.Close()
}
}()
var pendingMutations = 0
var pendingSamples model.Values
var sampleKey model.SampleKey
var unactedSamples model.Values
var lastTouchedTime time.Time
var keyDropped bool
sampleKey, err = extractSampleKey(sampleIterator)
if err != nil {
return
}
unactedSamples, err = extractSampleValues(sampleIterator)
if err != nil {
return
}
for lastCurated.Before(stopAt) && lastTouchedTime.Before(stopAt) {
switch {
// Furnish a new pending batch operation if none is available.
case pendingBatch == nil:
pendingBatch = leveldb.NewBatch()
// If there are no sample values to extract from the datastore, let's
// continue extracting more values to use. We know that the time.Before()
// block would prevent us from going into unsafe territory.
case len(unactedSamples) == 0:
if !sampleIterator.Next() {
return lastCurated, fmt.Errorf("Illegal Condition: Invalid Iterator on Continuation")
}
keyDropped = false
sampleKey, err = extractSampleKey(sampleIterator)
if err != nil {
return
}
unactedSamples, err = extractSampleValues(sampleIterator)
if err != nil {
return
}
// If the number of pending mutations exceeds the allowed batch amount,
// commit to disk and delete the batch. A new one will be recreated if
// necessary.
case pendingMutations >= p.MaximumMutationPoolBatch:
err = samplesPersistence.Commit(pendingBatch)
if err != nil {
return
}
pendingMutations = 0
pendingBatch.Close()
pendingBatch = nil
case len(pendingSamples) == 0 && len(unactedSamples) >= p.MinimumGroupSize:
lastTouchedTime = unactedSamples[len(unactedSamples)-1].Timestamp
unactedSamples = model.Values{}
case len(pendingSamples)+len(unactedSamples) < p.MinimumGroupSize:
if !keyDropped {
pendingBatch.Drop(sampleKey.ToDTO())
keyDropped = true
}
pendingSamples = append(pendingSamples, unactedSamples...)
lastTouchedTime = unactedSamples[len(unactedSamples)-1].Timestamp
unactedSamples = model.Values{}
pendingMutations++
// If the number of pending writes equals the target group size
case len(pendingSamples) == p.MinimumGroupSize:
newSampleKey := pendingSamples.ToSampleKey(fingerprint)
pendingBatch.Put(newSampleKey.ToDTO(), pendingSamples.ToDTO())
pendingMutations++
lastCurated = newSampleKey.FirstTimestamp.In(time.UTC)
if len(unactedSamples) > 0 {
if !keyDropped {
pendingBatch.Drop(sampleKey.ToDTO())
keyDropped = true
}
if len(unactedSamples) > p.MinimumGroupSize {
pendingSamples = unactedSamples[:p.MinimumGroupSize]
unactedSamples = unactedSamples[p.MinimumGroupSize:]
lastTouchedTime = unactedSamples[len(unactedSamples)-1].Timestamp
} else {
pendingSamples = unactedSamples
lastTouchedTime = pendingSamples[len(pendingSamples)-1].Timestamp
unactedSamples = model.Values{}
}
}
case len(pendingSamples)+len(unactedSamples) >= p.MinimumGroupSize:
if !keyDropped {
pendingBatch.Drop(sampleKey.ToDTO())
keyDropped = true
}
remainder := p.MinimumGroupSize - len(pendingSamples)
pendingSamples = append(pendingSamples, unactedSamples[:remainder]...)
unactedSamples = unactedSamples[remainder:]
if len(unactedSamples) == 0 {
lastTouchedTime = pendingSamples[len(pendingSamples)-1].Timestamp
} else {
lastTouchedTime = unactedSamples[len(unactedSamples)-1].Timestamp
}
pendingMutations++
default:
err = fmt.Errorf("Unhandled processing case.")
}
}
if len(unactedSamples) > 0 || len(pendingSamples) > 0 {
pendingSamples = append(pendingSamples, unactedSamples...)
newSampleKey := pendingSamples.ToSampleKey(fingerprint)
pendingBatch.Put(newSampleKey.ToDTO(), pendingSamples.ToDTO())
pendingSamples = model.Values{}
pendingMutations++
lastCurated = newSampleKey.FirstTimestamp.In(time.UTC)
}
// This is not deferred due to the off-chance that a pre-existing commit
// failed.
if pendingBatch != nil && pendingMutations > 0 {
err = samplesPersistence.Commit(pendingBatch)
if err != nil {
return
}
}
return
}
// DeletionProcessor deletes sample blocks older than a defined value.
type DeletionProcessor struct {
// MaximumMutationPoolBatch represents approximately the largest pending
// batch of mutation operations for the database before pausing to
// commit before resumption.
MaximumMutationPoolBatch int
// signature is the byte representation of the DeletionProcessor's settings,
// used for purely memoization purposes across an instance.
signature []byte
}
func (p DeletionProcessor) Name() string {
return "io.prometheus.DeletionProcessorDefinition"
}
func (p *DeletionProcessor) Signature() (out []byte, err error) {
if len(p.signature) == 0 {
out, err = proto.Marshal(&dto.DeletionProcessorDefinition{})
p.signature = out
}
out = p.signature
return
}
func (p DeletionProcessor) String() string {
return "deletionProcessor"
}
func (p DeletionProcessor) Apply(sampleIterator leveldb.Iterator, samplesPersistence raw.Persistence, stopAt time.Time, fingerprint *model.Fingerprint) (lastCurated time.Time, err error) {
var pendingBatch raw.Batch = nil
defer func() {
if pendingBatch != nil {
pendingBatch.Close()
}
}()
sampleKey, err := extractSampleKey(sampleIterator)
if err != nil {
return
}
sampleValues, err := extractSampleValues(sampleIterator)
if err != nil {
return
}
pendingMutations := 0
for lastCurated.Before(stopAt) {
switch {
// Furnish a new pending batch operation if none is available.
case pendingBatch == nil:
pendingBatch = leveldb.NewBatch()
// If there are no sample values to extract from the datastore, let's
// continue extracting more values to use. We know that the time.Before()
// block would prevent us from going into unsafe territory.
case len(sampleValues) == 0:
if !sampleIterator.Next() {
return lastCurated, fmt.Errorf("Illegal Condition: Invalid Iterator on Continuation")
}
sampleKey, err = extractSampleKey(sampleIterator)
if err != nil {
return
}
sampleValues, err = extractSampleValues(sampleIterator)
if err != nil {
return
}
// If the number of pending mutations exceeds the allowed batch amount,
// commit to disk and delete the batch. A new one will be recreated if
// necessary.
case pendingMutations >= p.MaximumMutationPoolBatch:
err = samplesPersistence.Commit(pendingBatch)
if err != nil {
return
}
pendingMutations = 0
pendingBatch.Close()
pendingBatch = nil
case !sampleKey.MayContain(stopAt):
pendingBatch.Drop(sampleKey.ToDTO())
lastCurated = sampleKey.LastTimestamp
sampleValues = model.Values{}
pendingMutations++
case sampleKey.MayContain(stopAt):
pendingBatch.Drop(sampleKey.ToDTO())
pendingMutations++
sampleValues = sampleValues.TruncateBefore(stopAt)
if len(sampleValues) > 0 {
sampleKey = sampleValues.ToSampleKey(fingerprint)
lastCurated = sampleKey.FirstTimestamp
pendingBatch.Put(sampleKey.ToDTO(), sampleValues.ToDTO())
pendingMutations++
} else {
lastCurated = sampleKey.LastTimestamp
}
default:
err = fmt.Errorf("Unhandled processing case.")
}
}
// This is not deferred due to the off-chance that a pre-existing commit
// failed.
if pendingBatch != nil && pendingMutations > 0 {
err = samplesPersistence.Commit(pendingBatch)
if err != nil {
return
}
}
return
}