VictoriaMetrics/app/vmstorage/main.go

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package vmstorage
import (
"errors"
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"flag"
"fmt"
"net/http"
"strings"
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/syncwg"
"github.com/VictoriaMetrics/metrics"
)
var (
retentionPeriod = flagutil.NewDuration("retentionPeriod", 1, "Data with timestamps outside the retentionPeriod is automatically deleted")
snapshotAuthKey = flag.String("snapshotAuthKey", "", "authKey, which must be passed in query string to /snapshot* pages")
forceMergeAuthKey = flag.String("forceMergeAuthKey", "", "authKey, which must be passed in query string to /internal/force_merge pages")
forceFlushAuthKey = flag.String("forceFlushAuthKey", "", "authKey, which must be passed in query string to /internal/force_flush pages")
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precisionBits = flag.Int("precisionBits", 64, "The number of precision bits to store per each value. Lower precision bits improves data compression at the cost of precision loss")
// DataPath is a path to storage data.
DataPath = flag.String("storageDataPath", "victoria-metrics-data", "Path to storage data")
finalMergeDelay = flag.Duration("finalMergeDelay", 0, "The delay before starting final merge for per-month partition after no new data is ingested into it. "+
"Final merge may require additional disk IO and CPU resources. Final merge may increase query speed and reduce disk space usage in some cases. "+
"Zero value disables final merge")
bigMergeConcurrency = flag.Int("bigMergeConcurrency", 0, "The maximum number of CPU cores to use for big merges. Default value is used if set to 0")
smallMergeConcurrency = flag.Int("smallMergeConcurrency", 0, "The maximum number of CPU cores to use for small merges. Default value is used if set to 0")
logNewSeries = flag.Bool("logNewSeries", false, "Whether to log new series. This option is for debug purposes only. It can lead to performance issues "+
"when big number of new series are ingested into VictoriaMetrics")
denyQueriesOutsideRetention = flag.Bool("denyQueriesOutsideRetention", false, "Whether to deny queries outside of the configured -retentionPeriod. "+
"When set, then /api/v1/query_range would return '503 Service Unavailable' error for queries with 'from' value outside -retentionPeriod. "+
"This may be useful when multiple data sources with distinct retentions are hidden behind query-tee")
maxHourlySeries = flag.Int("storage.maxHourlySeries", 0, "The maximum number of unique series can be added to the storage during the last hour. "+
"Excess series are logged and dropped. This can be useful for limiting series cardinality. See also -storage.maxDailySeries")
maxDailySeries = flag.Int("storage.maxDailySeries", 0, "The maximum number of unique series can be added to the storage during the last 24 hours. "+
"Excess series are logged and dropped. This can be useful for limiting series churn rate. See also -storage.maxHourlySeries")
minFreeDiskSpaceBytes = flagutil.NewBytes("storage.minFreeDiskSpaceBytes", 10e6, "The minimum free disk space at -storageDataPath after which the storage stops accepting new data")
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)
// CheckTimeRange returns true if the given tr is denied for querying.
func CheckTimeRange(tr storage.TimeRange) error {
if !*denyQueriesOutsideRetention {
return nil
}
minAllowedTimestamp := int64(fasttime.UnixTimestamp()*1000) - retentionPeriod.Msecs
if tr.MinTimestamp > minAllowedTimestamp {
return nil
}
return &httpserver.ErrorWithStatusCode{
Err: fmt.Errorf("the given time range %s is outside the allowed -retentionPeriod=%s according to -denyQueriesOutsideRetention", &tr, retentionPeriod),
StatusCode: http.StatusServiceUnavailable,
}
}
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// Init initializes vmstorage.
func Init(resetCacheIfNeeded func(mrs []storage.MetricRow)) {
InitWithoutMetrics(resetCacheIfNeeded)
registerStorageMetrics()
}
// InitWithoutMetrics must be called instead of Init inside tests.
//
// This allows multiple Init / Stop cycles.
func InitWithoutMetrics(resetCacheIfNeeded func(mrs []storage.MetricRow)) {
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if err := encoding.CheckPrecisionBits(uint8(*precisionBits)); err != nil {
logger.Fatalf("invalid `-precisionBits`: %s", err)
}
resetResponseCacheIfNeeded = resetCacheIfNeeded
storage.SetLogNewSeries(*logNewSeries)
storage.SetFinalMergeDelay(*finalMergeDelay)
storage.SetBigMergeWorkersCount(*bigMergeConcurrency)
storage.SetSmallMergeWorkersCount(*smallMergeConcurrency)
storage.SetFreeDiskSpaceLimit(minFreeDiskSpaceBytes.N)
logger.Infof("opening storage at %q with -retentionPeriod=%s", *DataPath, retentionPeriod)
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startTime := time.Now()
WG = syncwg.WaitGroup{}
strg, err := storage.OpenStorage(*DataPath, retentionPeriod.Msecs, *maxHourlySeries, *maxDailySeries)
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if err != nil {
logger.Fatalf("cannot open a storage at %s with -retentionPeriod=%s: %s", *DataPath, retentionPeriod, err)
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}
Storage = strg
var m storage.Metrics
Storage.UpdateMetrics(&m)
tm := &m.TableMetrics
partsCount := tm.SmallPartsCount + tm.BigPartsCount
blocksCount := tm.SmallBlocksCount + tm.BigBlocksCount
rowsCount := tm.SmallRowsCount + tm.BigRowsCount
sizeBytes := tm.SmallSizeBytes + tm.BigSizeBytes
logger.Infof("successfully opened storage %q in %.3f seconds; partsCount: %d; blocksCount: %d; rowsCount: %d; sizeBytes: %d",
*DataPath, time.Since(startTime).Seconds(), partsCount, blocksCount, rowsCount, sizeBytes)
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}
// Storage is a storage.
//
// Every storage call must be wrapped into WG.Add(1) ... WG.Done()
// for proper graceful shutdown when Stop is called.
var Storage *storage.Storage
// WG must be incremented before Storage call.
//
// Use syncwg instead of sync, since Add is called from concurrent goroutines.
var WG syncwg.WaitGroup
// resetResponseCacheIfNeeded is a callback for automatic resetting of response cache if needed.
var resetResponseCacheIfNeeded func(mrs []storage.MetricRow)
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// AddRows adds mrs to the storage.
func AddRows(mrs []storage.MetricRow) error {
if Storage.IsReadOnly() {
return errReadOnly
}
resetResponseCacheIfNeeded(mrs)
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WG.Add(1)
err := Storage.AddRows(mrs, uint8(*precisionBits))
WG.Done()
return err
}
var errReadOnly = errors.New("the storage is in read-only mode; check -storage.minFreeDiskSpaceBytes command-line flag value")
// RegisterMetricNames registers all the metrics from mrs in the storage.
func RegisterMetricNames(mrs []storage.MetricRow) error {
WG.Add(1)
err := Storage.RegisterMetricNames(mrs)
WG.Done()
return err
}
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// DeleteMetrics deletes metrics matching tfss.
//
// Returns the number of deleted metrics.
func DeleteMetrics(tfss []*storage.TagFilters) (int, error) {
WG.Add(1)
n, err := Storage.DeleteMetrics(tfss)
WG.Done()
return n, err
}
// SearchMetricNames returns metric names for the given tfss on the given tr.
func SearchMetricNames(tfss []*storage.TagFilters, tr storage.TimeRange, maxMetrics int, deadline uint64) ([]storage.MetricName, error) {
WG.Add(1)
mns, err := Storage.SearchMetricNames(tfss, tr, maxMetrics, deadline)
WG.Done()
return mns, err
}
// SearchTagKeysOnTimeRange searches for tag keys on tr.
func SearchTagKeysOnTimeRange(tr storage.TimeRange, maxTagKeys int, deadline uint64) ([]string, error) {
WG.Add(1)
keys, err := Storage.SearchTagKeysOnTimeRange(tr, maxTagKeys, deadline)
WG.Done()
return keys, err
}
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// SearchTagKeys searches for tag keys
func SearchTagKeys(maxTagKeys int, deadline uint64) ([]string, error) {
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WG.Add(1)
keys, err := Storage.SearchTagKeys(maxTagKeys, deadline)
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WG.Done()
return keys, err
}
// SearchTagValuesOnTimeRange searches for tag values for the given tagKey on tr.
func SearchTagValuesOnTimeRange(tagKey []byte, tr storage.TimeRange, maxTagValues int, deadline uint64) ([]string, error) {
WG.Add(1)
values, err := Storage.SearchTagValuesOnTimeRange(tagKey, tr, maxTagValues, deadline)
WG.Done()
return values, err
}
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// SearchTagValues searches for tag values for the given tagKey
func SearchTagValues(tagKey []byte, maxTagValues int, deadline uint64) ([]string, error) {
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WG.Add(1)
values, err := Storage.SearchTagValues(tagKey, maxTagValues, deadline)
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WG.Done()
return values, err
}
// SearchTagValueSuffixes returns all the tag value suffixes for the given tagKey and tagValuePrefix on the given tr.
//
// This allows implementing https://graphite-api.readthedocs.io/en/latest/api.html#metrics-find or similar APIs.
func SearchTagValueSuffixes(tr storage.TimeRange, tagKey, tagValuePrefix []byte, delimiter byte, maxTagValueSuffixes int, deadline uint64) ([]string, error) {
WG.Add(1)
suffixes, err := Storage.SearchTagValueSuffixes(tr, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes, deadline)
WG.Done()
return suffixes, err
}
// SearchGraphitePaths returns all the metric names matching the given Graphite query.
func SearchGraphitePaths(tr storage.TimeRange, query []byte, maxPaths int, deadline uint64) ([]string, error) {
WG.Add(1)
paths, err := Storage.SearchGraphitePaths(tr, query, maxPaths, deadline)
WG.Done()
return paths, err
}
// SearchTagEntries searches for tag entries.
func SearchTagEntries(maxTagKeys, maxTagValues int, deadline uint64) ([]storage.TagEntry, error) {
WG.Add(1)
tagEntries, err := Storage.SearchTagEntries(maxTagKeys, maxTagValues, deadline)
WG.Done()
return tagEntries, err
}
// GetTSDBStatusForDate returns TSDB status for the given date.
func GetTSDBStatusForDate(date uint64, topN int, deadline uint64) (*storage.TSDBStatus, error) {
WG.Add(1)
status, err := Storage.GetTSDBStatusWithFiltersForDate(nil, date, topN, deadline)
WG.Done()
return status, err
}
// GetTSDBStatusWithFiltersForDate returns TSDB status for given filters on the given date.
func GetTSDBStatusWithFiltersForDate(tfss []*storage.TagFilters, date uint64, topN int, deadline uint64) (*storage.TSDBStatus, error) {
WG.Add(1)
status, err := Storage.GetTSDBStatusWithFiltersForDate(tfss, date, topN, deadline)
WG.Done()
return status, err
}
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// GetSeriesCount returns the number of time series in the storage.
func GetSeriesCount(deadline uint64) (uint64, error) {
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WG.Add(1)
n, err := Storage.GetSeriesCount(deadline)
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WG.Done()
return n, err
}
// Stop stops the vmstorage
func Stop() {
logger.Infof("gracefully closing the storage at %s", *DataPath)
startTime := time.Now()
WG.WaitAndBlock()
Storage.MustClose()
logger.Infof("successfully closed the storage in %.3f seconds", time.Since(startTime).Seconds())
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logger.Infof("the storage has been stopped")
}
// RequestHandler is a storage request handler.
func RequestHandler(w http.ResponseWriter, r *http.Request) bool {
path := r.URL.Path
if path == "/internal/force_merge" {
authKey := r.FormValue("authKey")
if authKey != *forceMergeAuthKey {
httpserver.Errorf(w, r, "invalid authKey %q. It must match the value from -forceMergeAuthKey command line flag", authKey)
return true
}
// Run force merge in background
partitionNamePrefix := r.FormValue("partition_prefix")
go func() {
activeForceMerges.Inc()
defer activeForceMerges.Dec()
logger.Infof("forced merge for partition_prefix=%q has been started", partitionNamePrefix)
startTime := time.Now()
if err := Storage.ForceMergePartitions(partitionNamePrefix); err != nil {
logger.Errorf("error in forced merge for partition_prefix=%q: %s", partitionNamePrefix, err)
}
logger.Infof("forced merge for partition_prefix=%q has been successfully finished in %.3f seconds", partitionNamePrefix, time.Since(startTime).Seconds())
}()
return true
}
if path == "/internal/force_flush" {
authKey := r.FormValue("authKey")
if authKey != *forceFlushAuthKey {
httpserver.Errorf(w, r, "invalid authKey %q. It must match the value from -forceFlushAuthKey command line flag", authKey)
return true
}
logger.Infof("flushing storage to make pending data available for reading")
Storage.DebugFlush()
return true
}
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prometheusCompatibleResponse := false
if path == "/api/v1/admin/tsdb/snapshot" {
// Handle Prometheus API - https://prometheus.io/docs/prometheus/latest/querying/api/#snapshot .
prometheusCompatibleResponse = true
path = "/snapshot/create"
}
if !strings.HasPrefix(path, "/snapshot") {
return false
}
authKey := r.FormValue("authKey")
if authKey != *snapshotAuthKey {
httpserver.Errorf(w, r, "invalid authKey %q. It must match the value from -snapshotAuthKey command line flag", authKey)
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return true
}
path = path[len("/snapshot"):]
switch path {
case "/create":
w.Header().Set("Content-Type", "application/json")
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snapshotPath, err := Storage.CreateSnapshot()
if err != nil {
err = fmt.Errorf("cannot create snapshot: %w", err)
jsonResponseError(w, err)
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return true
}
if prometheusCompatibleResponse {
fmt.Fprintf(w, `{"status":"success","data":{"name":%q}}`, snapshotPath)
} else {
fmt.Fprintf(w, `{"status":"ok","snapshot":%q}`, snapshotPath)
}
return true
case "/list":
w.Header().Set("Content-Type", "application/json")
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snapshots, err := Storage.ListSnapshots()
if err != nil {
err = fmt.Errorf("cannot list snapshots: %w", err)
jsonResponseError(w, err)
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return true
}
fmt.Fprintf(w, `{"status":"ok","snapshots":[`)
if len(snapshots) > 0 {
for _, snapshot := range snapshots[:len(snapshots)-1] {
fmt.Fprintf(w, "\n%q,", snapshot)
}
fmt.Fprintf(w, "\n%q\n", snapshots[len(snapshots)-1])
}
fmt.Fprintf(w, `]}`)
return true
case "/delete":
w.Header().Set("Content-Type", "application/json")
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snapshotName := r.FormValue("snapshot")
if err := Storage.DeleteSnapshot(snapshotName); err != nil {
err = fmt.Errorf("cannot delete snapshot %q: %w", snapshotName, err)
jsonResponseError(w, err)
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return true
}
fmt.Fprintf(w, `{"status":"ok"}`)
return true
case "/delete_all":
w.Header().Set("Content-Type", "application/json")
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snapshots, err := Storage.ListSnapshots()
if err != nil {
err = fmt.Errorf("cannot list snapshots: %w", err)
jsonResponseError(w, err)
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return true
}
for _, snapshotName := range snapshots {
if err := Storage.DeleteSnapshot(snapshotName); err != nil {
err = fmt.Errorf("cannot delete snapshot %q: %w", snapshotName, err)
jsonResponseError(w, err)
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return true
}
}
fmt.Fprintf(w, `{"status":"ok"}`)
return true
default:
return false
}
}
var activeForceMerges = metrics.NewCounter("vm_active_force_merges")
func registerStorageMetrics() {
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mCache := &storage.Metrics{}
var mCacheLock sync.Mutex
var lastUpdateTime time.Time
m := func() *storage.Metrics {
mCacheLock.Lock()
defer mCacheLock.Unlock()
if time.Since(lastUpdateTime) < time.Second {
return mCache
}
var mc storage.Metrics
Storage.UpdateMetrics(&mc)
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mCache = &mc
lastUpdateTime = time.Now()
return mCache
}
tm := func() *storage.TableMetrics {
sm := m()
return &sm.TableMetrics
}
idbm := func() *storage.IndexDBMetrics {
sm := m()
return &sm.IndexDBMetrics
}
metrics.NewGauge(fmt.Sprintf(`vm_free_disk_space_bytes{path=%q}`, *DataPath), func() float64 {
return float64(fs.MustGetFreeSpace(*DataPath))
})
metrics.NewGauge(fmt.Sprintf(`vm_free_disk_space_limit_bytes{path=%q}`, *DataPath), func() float64 {
return float64(minFreeDiskSpaceBytes.N)
})
metrics.NewGauge(fmt.Sprintf(`vm_storage_is_read_only{path=%q}`, *DataPath), func() float64 {
if Storage.IsReadOnly() {
return 1
}
return 0
})
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metrics.NewGauge(`vm_active_merges{type="storage/big"}`, func() float64 {
return float64(tm().ActiveBigMerges)
})
metrics.NewGauge(`vm_active_merges{type="storage/small"}`, func() float64 {
return float64(tm().ActiveSmallMerges)
})
metrics.NewGauge(`vm_active_merges{type="indexdb"}`, func() float64 {
return float64(idbm().ActiveMerges)
})
metrics.NewGauge(`vm_merges_total{type="storage/big"}`, func() float64 {
return float64(tm().BigMergesCount)
})
metrics.NewGauge(`vm_merges_total{type="storage/small"}`, func() float64 {
return float64(tm().SmallMergesCount)
})
metrics.NewGauge(`vm_merges_total{type="indexdb"}`, func() float64 {
return float64(idbm().MergesCount)
})
metrics.NewGauge(`vm_rows_merged_total{type="storage/big"}`, func() float64 {
return float64(tm().BigRowsMerged)
})
metrics.NewGauge(`vm_rows_merged_total{type="storage/small"}`, func() float64 {
return float64(tm().SmallRowsMerged)
})
metrics.NewGauge(`vm_rows_merged_total{type="indexdb"}`, func() float64 {
return float64(idbm().ItemsMerged)
})
metrics.NewGauge(`vm_rows_deleted_total{type="storage/big"}`, func() float64 {
return float64(tm().BigRowsDeleted)
})
metrics.NewGauge(`vm_rows_deleted_total{type="storage/small"}`, func() float64 {
return float64(tm().SmallRowsDeleted)
})
metrics.NewGauge(`vm_references{type="storage/big", name="parts"}`, func() float64 {
return float64(tm().BigPartsRefCount)
})
metrics.NewGauge(`vm_references{type="storage/small", name="parts"}`, func() float64 {
return float64(tm().SmallPartsRefCount)
})
metrics.NewGauge(`vm_references{type="storage", name="partitions"}`, func() float64 {
return float64(tm().PartitionsRefCount)
})
metrics.NewGauge(`vm_references{type="indexdb", name="objects"}`, func() float64 {
return float64(idbm().IndexDBRefCount)
})
metrics.NewGauge(`vm_references{type="indexdb", name="parts"}`, func() float64 {
return float64(idbm().PartsRefCount)
})
metrics.NewGauge(`vm_new_timeseries_created_total`, func() float64 {
return float64(idbm().NewTimeseriesCreated)
})
lib/index: reduce read/write load after indexDB rotation (#2177) * lib/index: reduce read/write load after indexDB rotation IndexDB in VM is responsible for storing TSID - ID's used for identifying time series. The index is stored on disk and used by both ingestion and read path. IndexDB is stored separately to data parts and is global for all stored data. It can't be deleted partially as VM deletes data parts. Instead, indexDB is rotated once in `retention` interval. The rotation procedure means that `current` indexDB becomes `previous`, and new freshly created indexDB struct becomes `current`. So in any time, VM holds indexDB for current and previous retention periods. When time series is ingested or queried, VM checks if its TSID is present in `current` indexDB. If it is missing, it checks the `previous` indexDB. If TSID was found, it gets copied to the `current` indexDB. In this way `current` indexDB stores only series which were active during the retention period. To improve indexDB lookups, VM uses a cache layer called `tsidCache`. Both write and read path consult `tsidCache` and on miss the relad lookup happens. When rotation happens, VM resets the `tsidCache`. This is needed for ingestion path to trigger `current` indexDB re-population. Since index re-population requires additional resources, every index rotation event may cause some extra load on CPU and disk. While it may be unnoticeable for most of the cases, for systems with very high number of unique series each rotation may lead to performance degradation for some period of time. This PR makes an attempt to smooth out resource usage after the rotation. The changes are following: 1. `tsidCache` is no longer reset after the rotation; 2. Instead, each entry in `tsidCache` gains a notion of indexDB to which they belong; 3. On ingestion path after the rotation we check if requested TSID was found in `tsidCache`. Then we have 3 branches: 3.1 Fast path. It was found, and belongs to the `current` indexDB. Return TSID. 3.2 Slow path. It wasn't found, so we generate it from scratch, add to `current` indexDB, add it to `tsidCache`. 3.3 Smooth path. It was found but does not belong to the `current` indexDB. In this case, we add it to the `current` indexDB with some probability. The probability is based on time passed since the last rotation with some threshold. The more time has passed since rotation the higher is chance to re-populate `current` indexDB. The default re-population interval in this PR is set to `1h`, during which entries from `previous` index supposed to slowly re-populate `current` index. The new metric `vm_timeseries_repopulated_total` was added to identify how many TSIDs were moved from `previous` indexDB to the `current` indexDB. This metric supposed to grow only during the first `1h` after the last rotation. https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401 Signed-off-by: hagen1778 <roman@victoriametrics.com> * wip * wip Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
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metrics.NewGauge(`vm_timeseries_repopulated_total`, func() float64 {
return float64(idbm().TimeseriesRepopulated)
})
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metrics.NewGauge(`vm_missing_tsids_for_metric_id_total`, func() float64 {
return float64(idbm().MissingTSIDsForMetricID)
})
metrics.NewGauge(`vm_index_blocks_with_metric_ids_processed_total`, func() float64 {
return float64(idbm().IndexBlocksWithMetricIDsProcessed)
})
metrics.NewGauge(`vm_index_blocks_with_metric_ids_incorrect_order_total`, func() float64 {
return float64(idbm().IndexBlocksWithMetricIDsIncorrectOrder)
})
metrics.NewGauge(`vm_composite_index_min_timestamp`, func() float64 {
return float64(idbm().MinTimestampForCompositeIndex) / 1e3
})
metrics.NewGauge(`vm_composite_filter_success_conversions_total`, func() float64 {
return float64(idbm().CompositeFilterSuccessConversions)
})
metrics.NewGauge(`vm_composite_filter_missing_conversions_total`, func() float64 {
return float64(idbm().CompositeFilterMissingConversions)
})
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metrics.NewGauge(`vm_assisted_merges_total{type="storage/small"}`, func() float64 {
return float64(tm().SmallAssistedMerges)
})
metrics.NewGauge(`vm_assisted_merges_total{type="indexdb"}`, func() float64 {
return float64(idbm().AssistedMerges)
})
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/686
metrics.NewGauge(`vm_merge_need_free_disk_space{type="storage/small"}`, func() float64 {
return float64(tm().SmallMergeNeedFreeDiskSpace)
})
metrics.NewGauge(`vm_merge_need_free_disk_space{type="storage/big"}`, func() float64 {
return float64(tm().BigMergeNeedFreeDiskSpace)
})
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metrics.NewGauge(`vm_pending_rows{type="storage"}`, func() float64 {
return float64(tm().PendingRows)
})
metrics.NewGauge(`vm_pending_rows{type="indexdb"}`, func() float64 {
return float64(idbm().PendingItems)
})
metrics.NewGauge(`vm_parts{type="storage/big"}`, func() float64 {
return float64(tm().BigPartsCount)
})
metrics.NewGauge(`vm_parts{type="storage/small"}`, func() float64 {
return float64(tm().SmallPartsCount)
})
metrics.NewGauge(`vm_parts{type="indexdb"}`, func() float64 {
return float64(idbm().PartsCount)
})
metrics.NewGauge(`vm_blocks{type="storage/big"}`, func() float64 {
return float64(tm().BigBlocksCount)
})
metrics.NewGauge(`vm_blocks{type="storage/small"}`, func() float64 {
return float64(tm().SmallBlocksCount)
})
metrics.NewGauge(`vm_blocks{type="indexdb"}`, func() float64 {
return float64(idbm().BlocksCount)
})
metrics.NewGauge(`vm_data_size_bytes{type="storage/big"}`, func() float64 {
return float64(tm().BigSizeBytes)
})
metrics.NewGauge(`vm_data_size_bytes{type="storage/small"}`, func() float64 {
return float64(tm().SmallSizeBytes)
})
metrics.NewGauge(`vm_data_size_bytes{type="indexdb"}`, func() float64 {
return float64(idbm().SizeBytes)
})
metrics.NewGauge(`vm_rows_added_to_storage_total`, func() float64 {
return float64(m().RowsAddedTotal)
})
metrics.NewGauge(`vm_deduplicated_samples_total{type="merge"}`, func() float64 {
return float64(m().DedupsDuringMerge)
})
metrics.NewGauge(`vm_rows_ignored_total{reason="big_timestamp"}`, func() float64 {
return float64(m().TooBigTimestampRows)
})
metrics.NewGauge(`vm_rows_ignored_total{reason="small_timestamp"}`, func() float64 {
return float64(m().TooSmallTimestampRows)
})
metrics.NewGauge(`vm_concurrent_addrows_limit_reached_total`, func() float64 {
return float64(m().AddRowsConcurrencyLimitReached)
})
metrics.NewGauge(`vm_concurrent_addrows_limit_timeout_total`, func() float64 {
return float64(m().AddRowsConcurrencyLimitTimeout)
})
metrics.NewGauge(`vm_concurrent_addrows_dropped_rows_total`, func() float64 {
return float64(m().AddRowsConcurrencyDroppedRows)
})
metrics.NewGauge(`vm_concurrent_addrows_capacity`, func() float64 {
return float64(m().AddRowsConcurrencyCapacity)
})
metrics.NewGauge(`vm_concurrent_addrows_current`, func() float64 {
return float64(m().AddRowsConcurrencyCurrent)
})
metrics.NewGauge(`vm_concurrent_search_tsids_limit_reached_total`, func() float64 {
return float64(m().SearchTSIDsConcurrencyLimitReached)
})
metrics.NewGauge(`vm_concurrent_search_tsids_limit_timeout_total`, func() float64 {
return float64(m().SearchTSIDsConcurrencyLimitTimeout)
})
metrics.NewGauge(`vm_concurrent_search_tsids_capacity`, func() float64 {
return float64(m().SearchTSIDsConcurrencyCapacity)
})
metrics.NewGauge(`vm_concurrent_search_tsids_current`, func() float64 {
return float64(m().SearchTSIDsConcurrencyCurrent)
})
metrics.NewGauge(`vm_search_delays_total`, func() float64 {
return float64(m().SearchDelays)
})
metrics.NewGauge(`vm_slow_row_inserts_total`, func() float64 {
return float64(m().SlowRowInserts)
})
metrics.NewGauge(`vm_slow_per_day_index_inserts_total`, func() float64 {
return float64(m().SlowPerDayIndexInserts)
})
metrics.NewGauge(`vm_slow_metric_name_loads_total`, func() float64 {
return float64(m().SlowMetricNameLoads)
})
metrics.NewGauge(`vm_hourly_series_limit_rows_dropped_total`, func() float64 {
return float64(m().HourlySeriesLimitRowsDropped)
})
metrics.NewGauge(`vm_daily_series_limit_rows_dropped_total`, func() float64 {
return float64(m().DailySeriesLimitRowsDropped)
})
metrics.NewGauge(`vm_timestamps_blocks_merged_total`, func() float64 {
return float64(m().TimestampsBlocksMerged)
})
metrics.NewGauge(`vm_timestamps_bytes_saved_total`, func() float64 {
return float64(m().TimestampsBytesSaved)
})
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metrics.NewGauge(`vm_rows{type="storage/big"}`, func() float64 {
return float64(tm().BigRowsCount)
})
metrics.NewGauge(`vm_rows{type="storage/small"}`, func() float64 {
return float64(tm().SmallRowsCount)
})
metrics.NewGauge(`vm_rows{type="indexdb"}`, func() float64 {
return float64(idbm().ItemsCount)
})
metrics.NewGauge(`vm_date_range_search_calls_total`, func() float64 {
return float64(idbm().DateRangeSearchCalls)
})
metrics.NewGauge(`vm_date_range_hits_total`, func() float64 {
return float64(idbm().DateRangeSearchHits)
})
metrics.NewGauge(`vm_global_search_calls_total`, func() float64 {
return float64(idbm().GlobalSearchCalls)
})
metrics.NewGauge(`vm_missing_metric_names_for_metric_id_total`, func() float64 {
return float64(idbm().MissingMetricNamesForMetricID)
})
metrics.NewGauge(`vm_date_metric_id_cache_syncs_total`, func() float64 {
return float64(m().DateMetricIDCacheSyncsCount)
})
metrics.NewGauge(`vm_date_metric_id_cache_resets_total`, func() float64 {
return float64(m().DateMetricIDCacheResetsCount)
})
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metrics.NewGauge(`vm_cache_entries{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/metricIDs"}`, func() float64 {
return float64(m().MetricIDCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/date_metricID"}`, func() float64 {
return float64(m().DateMetricIDCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/hour_metric_ids"}`, func() float64 {
return float64(m().HourMetricIDCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/next_day_metric_ids"}`, func() float64 {
return float64(m().NextDayMetricIDCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="storage/indexBlocks"}`, func() float64 {
return float64(tm().IndexBlocksCacheSize)
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})
metrics.NewGauge(`vm_cache_entries{type="indexdb/dataBlocks"}`, func() float64 {
return float64(idbm().DataBlocksCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="indexdb/indexBlocks"}`, func() float64 {
return float64(idbm().IndexBlocksCacheSize)
})
metrics.NewGauge(`vm_cache_entries{type="indexdb/tagFilters"}`, func() float64 {
return float64(idbm().TagFiltersCacheSize)
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})
metrics.NewGauge(`vm_cache_entries{type="storage/regexps"}`, func() float64 {
return float64(storage.RegexpCacheSize())
})
metrics.NewGauge(`vm_cache_entries{type="storage/prefetchedMetricIDs"}`, func() float64 {
return float64(m().PrefetchedMetricIDsSize)
})
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metrics.NewGauge(`vm_cache_size_bytes{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheSizeBytes)
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})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/metricIDs"}`, func() float64 {
return float64(m().MetricIDCacheSizeBytes)
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})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheSizeBytes)
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})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/indexBlocks"}`, func() float64 {
return float64(tm().IndexBlocksCacheSizeBytes)
})
metrics.NewGauge(`vm_cache_size_bytes{type="indexdb/dataBlocks"}`, func() float64 {
return float64(idbm().DataBlocksCacheSizeBytes)
})
metrics.NewGauge(`vm_cache_size_bytes{type="indexdb/indexBlocks"}`, func() float64 {
return float64(idbm().IndexBlocksCacheSizeBytes)
})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/date_metricID"}`, func() float64 {
return float64(m().DateMetricIDCacheSizeBytes)
})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/hour_metric_ids"}`, func() float64 {
return float64(m().HourMetricIDCacheSizeBytes)
})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/next_day_metric_ids"}`, func() float64 {
return float64(m().NextDayMetricIDCacheSizeBytes)
})
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metrics.NewGauge(`vm_cache_size_bytes{type="indexdb/tagFilters"}`, func() float64 {
return float64(idbm().TagFiltersCacheSizeBytes)
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})
metrics.NewGauge(`vm_cache_size_bytes{type="storage/prefetchedMetricIDs"}`, func() float64 {
return float64(m().PrefetchedMetricIDsSizeBytes)
})
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metrics.NewGauge(`vm_cache_size_max_bytes{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheSizeMaxBytes)
})
metrics.NewGauge(`vm_cache_size_max_bytes{type="storage/metricIDs"}`, func() float64 {
return float64(m().MetricIDCacheSizeMaxBytes)
})
metrics.NewGauge(`vm_cache_size_max_bytes{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheSizeMaxBytes)
})
metrics.NewGauge(`vm_cache_size_max_bytes{type="storage/indexBlocks"}`, func() float64 {
return float64(tm().IndexBlocksCacheSizeMaxBytes)
})
metrics.NewGauge(`vm_cache_size_max_bytes{type="indexdb/dataBlocks"}`, func() float64 {
return float64(idbm().DataBlocksCacheSizeMaxBytes)
})
metrics.NewGauge(`vm_cache_size_max_bytes{type="indexdb/indexBlocks"}`, func() float64 {
return float64(idbm().IndexBlocksCacheSizeMaxBytes)
})
metrics.NewGauge(`vm_cache_size_max_bytes{type="indexdb/tagFilters"}`, func() float64 {
return float64(idbm().TagFiltersCacheSizeMaxBytes)
})
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metrics.NewGauge(`vm_cache_requests_total{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/metricIDs"}`, func() float64 {
return float64(m().MetricIDCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="storage/indexBlocks"}`, func() float64 {
return float64(tm().IndexBlocksCacheRequests)
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})
metrics.NewGauge(`vm_cache_requests_total{type="indexdb/dataBlocks"}`, func() float64 {
return float64(idbm().DataBlocksCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="indexdb/indexBlocks"}`, func() float64 {
return float64(idbm().IndexBlocksCacheRequests)
})
metrics.NewGauge(`vm_cache_requests_total{type="indexdb/tagFilters"}`, func() float64 {
return float64(idbm().TagFiltersCacheRequests)
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})
metrics.NewGauge(`vm_cache_requests_total{type="storage/regexps"}`, func() float64 {
return float64(storage.RegexpCacheRequests())
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/metricIDs"}`, func() float64 {
return float64(m().MetricIDCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="storage/indexBlocks"}`, func() float64 {
return float64(tm().IndexBlocksCacheMisses)
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})
metrics.NewGauge(`vm_cache_misses_total{type="indexdb/dataBlocks"}`, func() float64 {
return float64(idbm().DataBlocksCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="indexdb/indexBlocks"}`, func() float64 {
return float64(idbm().IndexBlocksCacheMisses)
})
metrics.NewGauge(`vm_cache_misses_total{type="indexdb/tagFilters"}`, func() float64 {
return float64(idbm().TagFiltersCacheMisses)
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})
metrics.NewGauge(`vm_cache_misses_total{type="storage/regexps"}`, func() float64 {
return float64(storage.RegexpCacheMisses())
})
metrics.NewGauge(`vm_deleted_metrics_total{type="indexdb"}`, func() float64 {
return float64(idbm().DeletedMetricsCount)
})
metrics.NewGauge(`vm_cache_collisions_total{type="storage/tsid"}`, func() float64 {
return float64(m().TSIDCacheCollisions)
})
metrics.NewGauge(`vm_cache_collisions_total{type="storage/metricName"}`, func() float64 {
return float64(m().MetricNameCacheCollisions)
})
}
func jsonResponseError(w http.ResponseWriter, err error) {
logger.Errorf("%s", err)
w.WriteHeader(http.StatusInternalServerError)
fmt.Fprintf(w, `{"status":"error","msg":%q}`, err)
}