Documentation ¶
Overview ¶
Package local contains the local time series storage used by Prometheus.
Index ¶
- Constants
- Variables
- func DumpHeads(filename string, out io.Writer) error
- type MemorySeriesStorage
- func (s *MemorySeriesStorage) Append(sample *model.Sample) error
- func (s *MemorySeriesStorage) Collect(ch chan<- prometheus.Metric)
- func (s *MemorySeriesStorage) Describe(ch chan<- *prometheus.Desc)
- func (s *MemorySeriesStorage) DropMetricsForLabelMatchers(_ context.Context, matchers ...*metric.LabelMatcher) (int, error)
- func (s *MemorySeriesStorage) LabelValuesForLabelName(_ context.Context, labelName model.LabelName) (model.LabelValues, error)
- func (s *MemorySeriesStorage) LastSampleForLabelMatchers(_ context.Context, cutoff model.Time, matcherSets ...metric.LabelMatchers) (model.Vector, error)
- func (s *MemorySeriesStorage) MetricsForLabelMatchers(_ context.Context, from, through model.Time, ...) ([]metric.Metric, error)
- func (s *MemorySeriesStorage) NeedsThrottling() bool
- func (s *MemorySeriesStorage) Querier() (Querier, error)
- func (s *MemorySeriesStorage) QueryInstant(_ context.Context, ts model.Time, stalenessDelta time.Duration, ...) ([]SeriesIterator, error)
- func (s *MemorySeriesStorage) QueryRange(_ context.Context, from, through model.Time, matchers ...*metric.LabelMatcher) ([]SeriesIterator, error)
- func (s *MemorySeriesStorage) Start() (err error)
- func (s *MemorySeriesStorage) Stop() error
- func (s *MemorySeriesStorage) WaitForIndexing()
- type MemorySeriesStorageOptions
- type NoopQuerier
- func (s *NoopQuerier) Close() error
- func (s *NoopQuerier) LabelValuesForLabelName(ctx context.Context, labelName model.LabelName) (model.LabelValues, error)
- func (s *NoopQuerier) LastSampleForLabelMatchers(ctx context.Context, cutoff model.Time, matcherSets ...metric.LabelMatchers) (model.Vector, error)
- func (s *NoopQuerier) MetricsForLabelMatchers(ctx context.Context, from, through model.Time, ...) ([]metric.Metric, error)
- func (s *NoopQuerier) QueryInstant(ctx context.Context, ts model.Time, stalenessDelta time.Duration, ...) ([]SeriesIterator, error)
- func (s *NoopQuerier) QueryRange(ctx context.Context, from, through model.Time, ...) ([]SeriesIterator, error)
- type NoopStorage
- func (s *NoopStorage) Append(sample *model.Sample) error
- func (s *NoopStorage) DropMetricsForLabelMatchers(ctx context.Context, matchers ...*metric.LabelMatcher) (int, error)
- func (s *NoopStorage) NeedsThrottling() bool
- func (s *NoopStorage) Querier() (Querier, error)
- func (s *NoopStorage) Start() (err error)
- func (s *NoopStorage) Stop() error
- func (s *NoopStorage) WaitForIndexing()
- type Querier
- type SeriesIterator
- type Storage
- type SyncStrategy
Constants ¶
const ( // Version of the storage as it can be found in the version file. // Increment to protect against incompatible changes. Version = 1 )
Variables ¶
var ( // ErrOutOfOrderSample is returned if a sample has a timestamp before the latest // timestamp in the series it is appended to. ErrOutOfOrderSample = fmt.Errorf("sample timestamp out of order") // ErrDuplicateSampleForTimestamp is returned if a sample has the same // timestamp as the latest sample in the series it is appended to but a // different value. (Appending an identical sample is a no-op and does // not cause an error.) ErrDuplicateSampleForTimestamp = fmt.Errorf("sample with repeated timestamp but different value") )
Functions ¶
Types ¶
type MemorySeriesStorage ¶
type MemorySeriesStorage struct {
// contains filtered or unexported fields
}
A MemorySeriesStorage manages series in memory over time, while also interfacing with a persistence layer to make time series data persistent across restarts and evictable from memory.
func NewMemorySeriesStorage ¶
func NewMemorySeriesStorage(o *MemorySeriesStorageOptions) *MemorySeriesStorage
NewMemorySeriesStorage returns a newly allocated Storage. Storage.Serve still has to be called to start the storage.
func NewTestStorage ¶
NewTestStorage creates a storage instance backed by files in a temporary directory. The returned storage is already in serving state. Upon closing the returned test.Closer, the temporary directory is cleaned up.
func (*MemorySeriesStorage) Append ¶
func (s *MemorySeriesStorage) Append(sample *model.Sample) error
Append implements Storage.
func (*MemorySeriesStorage) Collect ¶
func (s *MemorySeriesStorage) Collect(ch chan<- prometheus.Metric)
Collect implements prometheus.Collector.
func (*MemorySeriesStorage) Describe ¶
func (s *MemorySeriesStorage) Describe(ch chan<- *prometheus.Desc)
Describe implements prometheus.Collector.
func (*MemorySeriesStorage) DropMetricsForLabelMatchers ¶
func (s *MemorySeriesStorage) DropMetricsForLabelMatchers(_ context.Context, matchers ...*metric.LabelMatcher) (int, error)
DropMetricsForLabelMatchers implements Storage.
func (*MemorySeriesStorage) LabelValuesForLabelName ¶
func (s *MemorySeriesStorage) LabelValuesForLabelName(_ context.Context, labelName model.LabelName) (model.LabelValues, error)
LabelValuesForLabelName implements Storage.
func (*MemorySeriesStorage) LastSampleForLabelMatchers ¶
func (s *MemorySeriesStorage) LastSampleForLabelMatchers(_ context.Context, cutoff model.Time, matcherSets ...metric.LabelMatchers) (model.Vector, error)
LastSampleForLabelMatchers implements Storage.
func (*MemorySeriesStorage) MetricsForLabelMatchers ¶
func (s *MemorySeriesStorage) MetricsForLabelMatchers( _ context.Context, from, through model.Time, matcherSets ...metric.LabelMatchers, ) ([]metric.Metric, error)
MetricsForLabelMatchers implements Storage.
func (*MemorySeriesStorage) NeedsThrottling ¶
func (s *MemorySeriesStorage) NeedsThrottling() bool
NeedsThrottling implements Storage.
func (*MemorySeriesStorage) Querier ¶
func (s *MemorySeriesStorage) Querier() (Querier, error)
Querier implements the storage interface.
func (*MemorySeriesStorage) QueryInstant ¶
func (s *MemorySeriesStorage) QueryInstant(_ context.Context, ts model.Time, stalenessDelta time.Duration, matchers ...*metric.LabelMatcher) ([]SeriesIterator, error)
QueryInstant implements Storage.
func (*MemorySeriesStorage) QueryRange ¶
func (s *MemorySeriesStorage) QueryRange(_ context.Context, from, through model.Time, matchers ...*metric.LabelMatcher) ([]SeriesIterator, error)
QueryRange implements Storage.
func (*MemorySeriesStorage) Start ¶
func (s *MemorySeriesStorage) Start() (err error)
Start implements Storage.
func (*MemorySeriesStorage) Stop ¶
func (s *MemorySeriesStorage) Stop() error
Stop implements Storage.
func (*MemorySeriesStorage) WaitForIndexing ¶
func (s *MemorySeriesStorage) WaitForIndexing()
WaitForIndexing implements Storage.
type MemorySeriesStorageOptions ¶
type MemorySeriesStorageOptions struct { MemoryChunks int // How many chunks to keep in memory. MaxChunksToPersist int // Max number of chunks waiting to be persisted. PersistenceStoragePath string // Location of persistence files. PersistenceRetentionPeriod time.Duration // Chunks at least that old are dropped. CheckpointInterval time.Duration // How often to checkpoint the series map and head chunks. CheckpointDirtySeriesLimit int // How many dirty series will trigger an early checkpoint. Dirty bool // Force the storage to consider itself dirty on startup. PedanticChecks bool // If dirty, perform crash-recovery checks on each series file. SyncStrategy SyncStrategy // Which sync strategy to apply to series files. MinShrinkRatio float64 // Minimum ratio a series file has to shrink during truncation. NumMutexes int // Number of mutexes used for stochastic fingerprint locking. }
MemorySeriesStorageOptions contains options needed by NewMemorySeriesStorage. It is not safe to leave any of those at their zero values.
type NoopQuerier ¶
type NoopQuerier struct{}
NoopQuerier is a dummy Querier for use when Prometheus's local storage is disabled. It is returned by the NoopStorage Querier method and always returns empty results.
func (*NoopQuerier) LabelValuesForLabelName ¶
func (s *NoopQuerier) LabelValuesForLabelName(ctx context.Context, labelName model.LabelName) (model.LabelValues, error)
LabelValuesForLabelName implements Querier.
func (*NoopQuerier) LastSampleForLabelMatchers ¶
func (s *NoopQuerier) LastSampleForLabelMatchers(ctx context.Context, cutoff model.Time, matcherSets ...metric.LabelMatchers) (model.Vector, error)
LastSampleForLabelMatchers implements Querier.
func (*NoopQuerier) MetricsForLabelMatchers ¶
func (s *NoopQuerier) MetricsForLabelMatchers( ctx context.Context, from, through model.Time, matcherSets ...metric.LabelMatchers, ) ([]metric.Metric, error)
MetricsForLabelMatchers implements Querier.
func (*NoopQuerier) QueryInstant ¶
func (s *NoopQuerier) QueryInstant(ctx context.Context, ts model.Time, stalenessDelta time.Duration, matchers ...*metric.LabelMatcher) ([]SeriesIterator, error)
QueryInstant implements Querier.
func (*NoopQuerier) QueryRange ¶
func (s *NoopQuerier) QueryRange(ctx context.Context, from, through model.Time, matchers ...*metric.LabelMatcher) ([]SeriesIterator, error)
QueryRange implements Querier
type NoopStorage ¶
type NoopStorage struct{}
NoopStorage is a dummy storage for use when Prometheus's local storage is disabled. It throws away any appended samples and returns empty results.
func (*NoopStorage) Append ¶
func (s *NoopStorage) Append(sample *model.Sample) error
Append implements Storage.
func (*NoopStorage) DropMetricsForLabelMatchers ¶
func (s *NoopStorage) DropMetricsForLabelMatchers(ctx context.Context, matchers ...*metric.LabelMatcher) (int, error)
DropMetricsForLabelMatchers implements Storage.
func (*NoopStorage) NeedsThrottling ¶
func (s *NoopStorage) NeedsThrottling() bool
NeedsThrottling implements Storage.
func (*NoopStorage) Querier ¶
func (s *NoopStorage) Querier() (Querier, error)
Querier implements Storage.
func (*NoopStorage) WaitForIndexing ¶
func (s *NoopStorage) WaitForIndexing()
WaitForIndexing implements Storage.
type Querier ¶
type Querier interface { // Close closes the querier. Behavior for subsequent calls to Querier methods // is undefined. Close() error // QueryRange returns a list of series iterators for the selected // time range and label matchers. The iterators need to be closed // after usage. QueryRange(ctx context.Context, from, through model.Time, matchers ...*metric.LabelMatcher) ([]SeriesIterator, error) // QueryInstant returns a list of series iterators for the selected // instant and label matchers. The iterators need to be closed after usage. QueryInstant(ctx context.Context, ts model.Time, stalenessDelta time.Duration, matchers ...*metric.LabelMatcher) ([]SeriesIterator, error) // MetricsForLabelMatchers returns the metrics from storage that satisfy // the given sets of label matchers. Each set of matchers must contain at // least one label matcher that does not match the empty string. Otherwise, // an empty list is returned. Within one set of matchers, the intersection // of matching series is computed. The final return value will be the union // of the per-set results. The times from and through are hints for the // storage to optimize the search. The storage MAY exclude metrics that // have no samples in the specified interval from the returned map. In // doubt, specify model.Earliest for from and model.Latest for through. MetricsForLabelMatchers(ctx context.Context, from, through model.Time, matcherSets ...metric.LabelMatchers) ([]metric.Metric, error) // LastSampleForLabelMatchers returns the last samples that have been // ingested for the time series matching the given set of label matchers. // The label matching behavior is the same as in MetricsForLabelMatchers. // All returned samples are between the specified cutoff time and now. LastSampleForLabelMatchers(ctx context.Context, cutoff model.Time, matcherSets ...metric.LabelMatchers) (model.Vector, error) // Get all of the label values that are associated with a given label name. LabelValuesForLabelName(context.Context, model.LabelName) (model.LabelValues, error) }
Querier allows querying a time series storage.
type SeriesIterator ¶
type SeriesIterator interface { // Gets the value that is closest before the given time. In case a value // exists at precisely the given time, that value is returned. If no // applicable value exists, model.ZeroSamplePair is returned. ValueAtOrBeforeTime(model.Time) model.SamplePair // Gets all values contained within a given interval. RangeValues(metric.Interval) []model.SamplePair // Returns the metric of the series that the iterator corresponds to. Metric() metric.Metric // Closes the iterator and releases the underlying data. Close() }
SeriesIterator enables efficient access of sample values in a series. Its methods are not goroutine-safe. A SeriesIterator iterates over a snapshot of a series, i.e. it is safe to continue using a SeriesIterator after or during modifying the corresponding series, but the iterator will represent the state of the series prior to the modification.
type Storage ¶
type Storage interface { // Querier returns a new Querier on the storage. Querier() (Querier, error) // This SampleAppender needs multiple samples for the same fingerprint to be // submitted in chronological order, from oldest to newest. When Append has // returned, the appended sample might not be queryable immediately. (Use // WaitForIndexing to wait for complete processing.) The implementation might // remove labels with empty value from the provided Sample as those labels // are considered equivalent to a label not present at all. // // Appending is throttled if the Storage has too many chunks in memory // already or has too many chunks waiting for persistence. storage.SampleAppender // Drop all time series associated with the given label matchers. Returns // the number series that were dropped. DropMetricsForLabelMatchers(context.Context, ...*metric.LabelMatcher) (int, error) // Run the various maintenance loops in goroutines. Returns when the // storage is ready to use. Keeps everything running in the background // until Stop is called. Start() error // Stop shuts down the Storage gracefully, flushes all pending // operations, stops all maintenance loops,and frees all resources. Stop() error // WaitForIndexing returns once all samples in the storage are // indexed. Indexing is needed for FingerprintsForLabelMatchers and // LabelValuesForLabelName and may lag behind. WaitForIndexing() }
Storage ingests and manages samples, along with various indexes. All methods are goroutine-safe. Storage implements storage.SampleAppender.
type SyncStrategy ¶
type SyncStrategy int
SyncStrategy is an enum to select a sync strategy for series files.
const ( Never SyncStrategy Always Adaptive )
Possible values for SyncStrategy.
Source Files ¶
Directories ¶
Path | Synopsis |
---|---|
Package codable provides types that implement encoding.BinaryMarshaler and encoding.BinaryUnmarshaler and functions that help to encode and decode primitives.
|
Package codable provides types that implement encoding.BinaryMarshaler and encoding.BinaryUnmarshaler and functions that help to encode and decode primitives. |
Package index provides a number of indexes backed by persistent key-value stores.
|
Package index provides a number of indexes backed by persistent key-value stores. |