VictoriaMetrics/app/vmstorage/main.go

641 lines
33 KiB
Go
Raw Normal View History

2019-05-22 21:16:55 +00:00
package vmstorage
import (
"errors"
2019-05-22 21:16:55 +00:00
"flag"
"fmt"
"io"
2019-05-22 21:16:55 +00:00
"net/http"
"strings"
"sync"
"time"
"github.com/VictoriaMetrics/metrics"
2019-05-22 21:16:55 +00:00
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
2019-05-22 21:16:55 +00:00
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/mergeset"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/querytracer"
2019-05-22 21:16:55 +00:00
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/syncwg"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/timeutil"
2019-05-22 21:16:55 +00:00
)
var (
retentionPeriod = flagutil.NewDuration("retentionPeriod", "1", "Data with timestamps outside the retentionPeriod is automatically deleted. The minimum retentionPeriod is 24h or 1d. See also -retentionFilter")
snapshotAuthKey = flagutil.NewPassword("snapshotAuthKey", "authKey, which must be passed in query string to /snapshot* pages. It overrides -httpAuth.*")
forceMergeAuthKey = flagutil.NewPassword("forceMergeAuthKey", "authKey, which must be passed in query string to /internal/force_merge pages. It overrides -httpAuth.*")
forceFlushAuthKey = flagutil.NewPassword("forceFlushAuthKey", "authKey, which must be passed in query string to /internal/force_flush pages. It overrides -httpAuth.*")
snapshotsMaxAge = flagutil.NewDuration("snapshotsMaxAge", "0", "Automatically delete snapshots older than -snapshotsMaxAge if it is set to non-zero duration. Make sure that backup process has enough time to finish the backup before the corresponding snapshot is automatically deleted")
_ = flag.Duration("snapshotCreateTimeout", 0, "Deprecated: this flag does nothing")
2019-05-22 21:16:55 +00:00
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")
lib/{mergeset,storage}: make background merge more responsive and scalable - Maintain a separate worker pool per each part type (in-memory, file, big and small). Previously a shared pool was used for merging all the part types. A single merge worker could merge parts with mixed types at once. For example, it could merge simultaneously an in-memory part plus a big file part. Such a merge could take hours for big file part. During the duration of this merge the in-memory part was pinned in memory and couldn't be persisted to disk under the configured -inmemoryDataFlushInterval . Another common issue, which could happen when parts with mixed types are merged, is uncontrolled growth of in-memory parts or small parts when all the merge workers were busy with merging big files. Such growth could lead to significant performance degradataion for queries, since every query needs to check ever growing list of parts. This could also slow down the registration of new time series, since VictoriaMetrics searches for the internal series_id in the indexdb for every new time series. The third issue is graceful shutdown duration, which could be very long when a background merge is running on in-memory parts plus big file parts. This merge couldn't be interrupted, since it merges in-memory parts. A separate pool of merge workers per every part type elegantly resolves both issues: - In-memory parts are merged to file-based parts in a timely manner, since the maximum size of in-memory parts is limited. - Long-running merges for big parts do not block merges for in-memory parts and small parts. - Graceful shutdown duration is now limited by the time needed for flushing in-memory parts to files. Merging for file parts is instantly canceled on graceful shutdown now. - Deprecate -smallMergeConcurrency command-line flag, since the new background merge algorithm should automatically self-tune according to the number of available CPU cores. - Deprecate -finalMergeDelay command-line flag, since it wasn't working correctly. It is better to run forced merge when needed - https://docs.victoriametrics.com/#forced-merge - Tune the number of shards for pending rows and items before the data goes to in-memory parts and becomes visible for search. This improves the maximum data ingestion rate and the maximum rate for registration of new time series. This should reduce the duration of data ingestion slowdown in VictoriaMetrics cluster on e.g. re-routing events, when some of vmstorage nodes become temporarily unavailable. - Prevent from possible "sync: WaitGroup misuse" panic on graceful shutdown. This is a follow-up for fa566c68a6ccf7385a05f649aee7e5f5a38afb15 . Thanks @misutoth to for the inspiration at https://github.com/VictoriaMetrics/VictoriaMetrics/pull/5212 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5190 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3790 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3551 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3337 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3425 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3647 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3641 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/648 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/291
2024-01-26 20:39:49 +00:00
_ = flag.Duration("finalMergeDelay", 0, "Deprecated: this flag does nothing")
_ = flag.Int("bigMergeConcurrency", 0, "Deprecated: this flag does nothing")
_ = flag.Int("smallMergeConcurrency", 0, "Deprecated: this flag does nothing")
retentionTimezoneOffset = flag.Duration("retentionTimezoneOffset", 0, "The offset for performing indexdb rotation. "+
"If set to 0, then the indexdb rotation is performed at 4am UTC time per each -retentionPeriod. "+
"If set to 2h, then the indexdb rotation is performed at 4am EET time (the timezone with +2h offset)")
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 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 https://docs.victoriametrics.com/#cardinality-limiter . "+
"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 https://docs.victoriametrics.com/#cardinality-limiter . "+
"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")
cacheSizeStorageTSID = flagutil.NewBytes("storage.cacheSizeStorageTSID", 0, "Overrides max size for storage/tsid cache. "+
"See https://docs.victoriametrics.com/single-server-victoriametrics/#cache-tuning")
cacheSizeIndexDBIndexBlocks = flagutil.NewBytes("storage.cacheSizeIndexDBIndexBlocks", 0, "Overrides max size for indexdb/indexBlocks cache. "+
"See https://docs.victoriametrics.com/single-server-victoriametrics/#cache-tuning")
cacheSizeIndexDBDataBlocks = flagutil.NewBytes("storage.cacheSizeIndexDBDataBlocks", 0, "Overrides max size for indexdb/dataBlocks cache. "+
"See https://docs.victoriametrics.com/single-server-victoriametrics/#cache-tuning")
cacheSizeIndexDBTagFilters = flagutil.NewBytes("storage.cacheSizeIndexDBTagFilters", 0, "Overrides max size for indexdb/tagFiltersToMetricIDs cache. "+
"See https://docs.victoriametrics.com/single-server-victoriametrics/#cache-tuning")
2019-05-22 21:16:55 +00:00
)
// 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.Milliseconds()
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,
}
}
2019-05-22 21:16:55 +00:00
// Init initializes vmstorage.
func Init(resetCacheIfNeeded func(mrs []storage.MetricRow)) {
2019-05-22 21:16:55 +00:00
if err := encoding.CheckPrecisionBits(uint8(*precisionBits)); err != nil {
logger.Fatalf("invalid `-precisionBits`: %s", err)
}
resetResponseCacheIfNeeded = resetCacheIfNeeded
storage.SetLogNewSeries(*logNewSeries)
storage.SetRetentionTimezoneOffset(*retentionTimezoneOffset)
storage.SetFreeDiskSpaceLimit(minFreeDiskSpaceBytes.N)
storage.SetTSIDCacheSize(cacheSizeStorageTSID.IntN())
storage.SetTagFiltersCacheSize(cacheSizeIndexDBTagFilters.IntN())
mergeset.SetIndexBlocksCacheSize(cacheSizeIndexDBIndexBlocks.IntN())
mergeset.SetDataBlocksCacheSize(cacheSizeIndexDBDataBlocks.IntN())
if retentionPeriod.Duration() < 24*time.Hour {
logger.Fatalf("-retentionPeriod cannot be smaller than a day; got %s", retentionPeriod)
}
logger.Infof("opening storage at %q with -retentionPeriod=%s", *DataPath, retentionPeriod)
2019-05-22 21:16:55 +00:00
startTime := time.Now()
WG = syncwg.WaitGroup{}
strg := storage.MustOpenStorage(*DataPath, retentionPeriod.Duration(), *maxHourlySeries, *maxDailySeries)
2019-05-22 21:16:55 +00:00
Storage = strg
initStaleSnapshotsRemover(strg)
2019-05-22 21:16:55 +00:00
var m storage.Metrics
strg.UpdateMetrics(&m)
2019-05-22 21:16:55 +00:00
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)
// register storage metrics
storageMetrics = metrics.NewSet()
storageMetrics.RegisterMetricsWriter(func(w io.Writer) {
writeStorageMetrics(w, strg)
})
metrics.RegisterSet(storageMetrics)
2019-05-22 21:16:55 +00:00
}
var storageMetrics *metrics.Set
2019-05-22 21:16:55 +00:00
// 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)
2019-05-22 21:16:55 +00:00
// AddRows adds mrs to the storage.
//
// The caller should limit the number of concurrent calls to AddRows() in order to limit memory usage.
2019-05-22 21:16:55 +00:00
func AddRows(mrs []storage.MetricRow) error {
if Storage.IsReadOnly() {
return errReadOnly
}
resetResponseCacheIfNeeded(mrs)
2019-05-22 21:16:55 +00:00
WG.Add(1)
Storage.AddRows(mrs, uint8(*precisionBits))
2019-05-22 21:16:55 +00:00
WG.Done()
return nil
2019-05-22 21:16:55 +00:00
}
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.
lib/storage: switch from global to per-day index for `MetricName -> TSID` mapping Previously all the newly ingested time series were registered in global `MetricName -> TSID` index. This index was used during data ingestion for locating the TSID (internal series id) for the given canonical metric name (the canonical metric name consists of metric name plus all its labels sorted by label names). The `MetricName -> TSID` index is stored on disk in order to make sure that the data isn't lost on VictoriaMetrics restart or unclean shutdown. The lookup in this index is relatively slow, since VictoriaMetrics needs to read the corresponding data block from disk, unpack it, put the unpacked block into `indexdb/dataBlocks` cache, and then search for the given `MetricName -> TSID` entry there. So VictoriaMetrics uses in-memory cache for speeding up the lookup for active time series. This cache is named `storage/tsid`. If this cache capacity is enough for all the currently ingested active time series, then VictoriaMetrics works fast, since it doesn't need to read the data from disk. VictoriaMetrics starts reading data from `MetricName -> TSID` on-disk index in the following cases: - If `storage/tsid` cache capacity isn't enough for active time series. Then just increase available memory for VictoriaMetrics or reduce the number of active time series ingested into VictoriaMetrics. - If new time series is ingested into VictoriaMetrics. In this case it cannot find the needed entry in the `storage/tsid` cache, so it needs to consult on-disk `MetricName -> TSID` index, since it doesn't know that the index has no the corresponding entry too. This is a typical event under high churn rate, when old time series are constantly substituted with new time series. Reading the data from `MetricName -> TSID` index is slow, so inserts, which lead to reading this index, are counted as slow inserts, and they can be monitored via `vm_slow_row_inserts_total` metric exposed by VictoriaMetrics. Prior to this commit the `MetricName -> TSID` index was global, e.g. it contained entries sorted by `MetricName` for all the time series ever ingested into VictoriaMetrics during the configured -retentionPeriod. This index can become very large under high churn rate and long retention. VictoriaMetrics caches data from this index in `indexdb/dataBlocks` in-memory cache for speeding up index lookups. The `indexdb/dataBlocks` cache may occupy significant share of available memory for storing recently accessed blocks at `MetricName -> TSID` index when searching for newly ingested time series. This commit switches from global `MetricName -> TSID` index to per-day index. This allows significantly reducing the amounts of data, which needs to be cached in `indexdb/dataBlocks`, since now VictoriaMetrics consults only the index for the current day when new time series is ingested into it. The downside of this change is increased indexdb size on disk for workloads without high churn rate, e.g. with static time series, which do no change over time, since now VictoriaMetrics needs to store identical `MetricName -> TSID` entries for static time series for every day. This change removes an optimization for reducing CPU and disk IO spikes at indexdb rotation, since it didn't work correctly - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401 . At the same time the change fixes the issue, which could result in lost access to time series, which stop receving new samples during the first hour after indexdb rotation - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2698 The issue with the increased CPU and disk IO usage during indexdb rotation will be addressed in a separate commit according to https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401#issuecomment-1553488685 This is a follow-up for 1f28b46ae9350795af41cbfc3ca0e8a5af084fce
2023-07-13 22:33:41 +00:00
func RegisterMetricNames(qt *querytracer.Tracer, mrs []storage.MetricRow) {
WG.Add(1)
lib/storage: switch from global to per-day index for `MetricName -> TSID` mapping Previously all the newly ingested time series were registered in global `MetricName -> TSID` index. This index was used during data ingestion for locating the TSID (internal series id) for the given canonical metric name (the canonical metric name consists of metric name plus all its labels sorted by label names). The `MetricName -> TSID` index is stored on disk in order to make sure that the data isn't lost on VictoriaMetrics restart or unclean shutdown. The lookup in this index is relatively slow, since VictoriaMetrics needs to read the corresponding data block from disk, unpack it, put the unpacked block into `indexdb/dataBlocks` cache, and then search for the given `MetricName -> TSID` entry there. So VictoriaMetrics uses in-memory cache for speeding up the lookup for active time series. This cache is named `storage/tsid`. If this cache capacity is enough for all the currently ingested active time series, then VictoriaMetrics works fast, since it doesn't need to read the data from disk. VictoriaMetrics starts reading data from `MetricName -> TSID` on-disk index in the following cases: - If `storage/tsid` cache capacity isn't enough for active time series. Then just increase available memory for VictoriaMetrics or reduce the number of active time series ingested into VictoriaMetrics. - If new time series is ingested into VictoriaMetrics. In this case it cannot find the needed entry in the `storage/tsid` cache, so it needs to consult on-disk `MetricName -> TSID` index, since it doesn't know that the index has no the corresponding entry too. This is a typical event under high churn rate, when old time series are constantly substituted with new time series. Reading the data from `MetricName -> TSID` index is slow, so inserts, which lead to reading this index, are counted as slow inserts, and they can be monitored via `vm_slow_row_inserts_total` metric exposed by VictoriaMetrics. Prior to this commit the `MetricName -> TSID` index was global, e.g. it contained entries sorted by `MetricName` for all the time series ever ingested into VictoriaMetrics during the configured -retentionPeriod. This index can become very large under high churn rate and long retention. VictoriaMetrics caches data from this index in `indexdb/dataBlocks` in-memory cache for speeding up index lookups. The `indexdb/dataBlocks` cache may occupy significant share of available memory for storing recently accessed blocks at `MetricName -> TSID` index when searching for newly ingested time series. This commit switches from global `MetricName -> TSID` index to per-day index. This allows significantly reducing the amounts of data, which needs to be cached in `indexdb/dataBlocks`, since now VictoriaMetrics consults only the index for the current day when new time series is ingested into it. The downside of this change is increased indexdb size on disk for workloads without high churn rate, e.g. with static time series, which do no change over time, since now VictoriaMetrics needs to store identical `MetricName -> TSID` entries for static time series for every day. This change removes an optimization for reducing CPU and disk IO spikes at indexdb rotation, since it didn't work correctly - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401 . At the same time the change fixes the issue, which could result in lost access to time series, which stop receving new samples during the first hour after indexdb rotation - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2698 The issue with the increased CPU and disk IO usage during indexdb rotation will be addressed in a separate commit according to https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401#issuecomment-1553488685 This is a follow-up for 1f28b46ae9350795af41cbfc3ca0e8a5af084fce
2023-07-13 22:33:41 +00:00
Storage.RegisterMetricNames(qt, mrs)
WG.Done()
}
// DeleteSeries deletes series matching tfss.
2019-05-22 21:16:55 +00:00
//
// Returns the number of deleted series.
func DeleteSeries(qt *querytracer.Tracer, tfss []*storage.TagFilters) (int, error) {
2019-05-22 21:16:55 +00:00
WG.Add(1)
n, err := Storage.DeleteSeries(qt, tfss)
2019-05-22 21:16:55 +00:00
WG.Done()
return n, err
}
// SearchMetricNames returns metric names for the given tfss on the given tr.
func SearchMetricNames(qt *querytracer.Tracer, tfss []*storage.TagFilters, tr storage.TimeRange, maxMetrics int, deadline uint64) ([]string, error) {
WG.Add(1)
metricNames, err := Storage.SearchMetricNames(qt, tfss, tr, maxMetrics, deadline)
WG.Done()
return metricNames, err
}
// SearchLabelNamesWithFiltersOnTimeRange searches for tag keys matching the given tfss on tr.
func SearchLabelNamesWithFiltersOnTimeRange(qt *querytracer.Tracer, tfss []*storage.TagFilters, tr storage.TimeRange, maxTagKeys, maxMetrics int, deadline uint64) ([]string, error) {
WG.Add(1)
labelNames, err := Storage.SearchLabelNamesWithFiltersOnTimeRange(qt, tfss, tr, maxTagKeys, maxMetrics, deadline)
WG.Done()
return labelNames, err
}
// SearchLabelValuesWithFiltersOnTimeRange searches for label values for the given labelName, tfss and tr.
func SearchLabelValuesWithFiltersOnTimeRange(qt *querytracer.Tracer, labelName string, tfss []*storage.TagFilters,
tr storage.TimeRange, maxLabelValues, maxMetrics int, deadline uint64,
) ([]string, error) {
2019-05-22 21:16:55 +00:00
WG.Add(1)
labelValues, err := Storage.SearchLabelValuesWithFiltersOnTimeRange(qt, labelName, tfss, tr, maxLabelValues, maxMetrics, deadline)
2019-05-22 21:16:55 +00:00
WG.Done()
return labelValues, err
2019-05-22 21:16:55 +00:00
}
// 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(qt *querytracer.Tracer, tr storage.TimeRange, tagKey, tagValuePrefix string, delimiter byte, maxTagValueSuffixes int, deadline uint64) ([]string, error) {
WG.Add(1)
suffixes, err := Storage.SearchTagValueSuffixes(qt, tr, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes, deadline)
WG.Done()
return suffixes, err
}
// SearchGraphitePaths returns all the metric names matching the given Graphite query.
func SearchGraphitePaths(qt *querytracer.Tracer, tr storage.TimeRange, query []byte, maxPaths int, deadline uint64) ([]string, error) {
WG.Add(1)
paths, err := Storage.SearchGraphitePaths(qt, tr, query, maxPaths, deadline)
WG.Done()
return paths, err
}
// GetTSDBStatus returns TSDB status for given filters on the given date.
func GetTSDBStatus(qt *querytracer.Tracer, tfss []*storage.TagFilters, date uint64, focusLabel string, topN, maxMetrics int, deadline uint64) (*storage.TSDBStatus, error) {
WG.Add(1)
status, err := Storage.GetTSDBStatus(qt, tfss, date, focusLabel, topN, maxMetrics, deadline)
WG.Done()
return status, err
}
2019-05-22 21:16:55 +00:00
// GetSeriesCount returns the number of time series in the storage.
func GetSeriesCount(deadline uint64) (uint64, error) {
2019-05-22 21:16:55 +00:00
WG.Add(1)
n, err := Storage.GetSeriesCount(deadline)
2019-05-22 21:16:55 +00:00
WG.Done()
return n, err
}
// Stop stops the vmstorage
func Stop() {
// deregister storage metrics
metrics.UnregisterSet(storageMetrics, true)
storageMetrics = nil
2019-05-22 21:16:55 +00:00
logger.Infof("gracefully closing the storage at %s", *DataPath)
startTime := time.Now()
WG.WaitAndBlock()
stopStaleSnapshotsRemover()
2019-05-22 21:16:55 +00:00
Storage.MustClose()
logger.Infof("successfully closed the storage in %.3f seconds", time.Since(startTime).Seconds())
2019-05-22 21:16:55 +00:00
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" {
if !httpserver.CheckAuthFlag(w, r, forceMergeAuthKey) {
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" {
if !httpserver.CheckAuthFlag(w, r, forceFlushAuthKey) {
return true
}
logger.Infof("flushing storage to make pending data available for reading")
Storage.DebugFlush()
return true
}
2019-05-22 21:16:55 +00:00
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/") {
2019-05-22 21:16:55 +00:00
return false
}
if !httpserver.CheckAuthFlag(w, r, snapshotAuthKey) {
2019-05-22 21:16:55 +00:00
return true
}
path = path[len("/snapshot"):]
switch path {
case "/create":
snapshotsCreateTotal.Inc()
w.Header().Set("Content-Type", "application/json")
snapshotPath, err := Storage.CreateSnapshot()
2019-05-22 21:16:55 +00:00
if err != nil {
err = fmt.Errorf("cannot create snapshot: %w", err)
jsonResponseError(w, err)
snapshotsCreateErrorsTotal.Inc()
2019-05-22 21:16:55 +00:00
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":
snapshotsListTotal.Inc()
w.Header().Set("Content-Type", "application/json")
2019-05-22 21:16:55 +00:00
snapshots, err := Storage.ListSnapshots()
if err != nil {
err = fmt.Errorf("cannot list snapshots: %w", err)
jsonResponseError(w, err)
snapshotsListErrorsTotal.Inc()
2019-05-22 21:16:55 +00:00
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":
snapshotsDeleteTotal.Inc()
w.Header().Set("Content-Type", "application/json")
2019-05-22 21:16:55 +00:00
snapshotName := r.FormValue("snapshot")
snapshots, err := Storage.ListSnapshots()
if err != nil {
err = fmt.Errorf("cannot list snapshots: %w", err)
jsonResponseError(w, err)
snapshotsDeleteErrorsTotal.Inc()
2019-05-22 21:16:55 +00:00
return true
}
for _, snName := range snapshots {
if snName == snapshotName {
if err := Storage.DeleteSnapshot(snName); err != nil {
err = fmt.Errorf("cannot delete snapshot %q: %w", snName, err)
jsonResponseError(w, err)
snapshotsDeleteErrorsTotal.Inc()
return true
}
fmt.Fprintf(w, `{"status":"ok"}`)
return true
}
}
err = fmt.Errorf("cannot find snapshot %q", snapshotName)
jsonResponseError(w, err)
2019-05-22 21:16:55 +00:00
return true
case "/delete_all":
snapshotsDeleteAllTotal.Inc()
w.Header().Set("Content-Type", "application/json")
2019-05-22 21:16:55 +00:00
snapshots, err := Storage.ListSnapshots()
if err != nil {
err = fmt.Errorf("cannot list snapshots: %w", err)
jsonResponseError(w, err)
snapshotsDeleteAllErrorsTotal.Inc()
2019-05-22 21:16:55 +00:00
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)
snapshotsDeleteAllErrorsTotal.Inc()
2019-05-22 21:16:55 +00:00
return true
}
}
fmt.Fprintf(w, `{"status":"ok"}`)
return true
default:
return false
}
}
func initStaleSnapshotsRemover(strg *storage.Storage) {
staleSnapshotsRemoverCh = make(chan struct{})
if snapshotsMaxAge.Duration() <= 0 {
return
}
snapshotsMaxAgeDur := snapshotsMaxAge.Duration()
staleSnapshotsRemoverWG.Add(1)
go func() {
defer staleSnapshotsRemoverWG.Done()
d := timeutil.AddJitterToDuration(time.Second * 11)
t := time.NewTicker(d)
defer t.Stop()
for {
select {
case <-staleSnapshotsRemoverCh:
return
case <-t.C:
}
if err := strg.DeleteStaleSnapshots(snapshotsMaxAgeDur); err != nil {
// Use logger.Errorf instead of logger.Fatalf in the hope the error is temporary.
logger.Errorf("cannot delete stale snapshots: %s", err)
}
}
}()
}
func stopStaleSnapshotsRemover() {
close(staleSnapshotsRemoverCh)
staleSnapshotsRemoverWG.Wait()
}
var (
staleSnapshotsRemoverCh chan struct{}
staleSnapshotsRemoverWG sync.WaitGroup
)
var (
activeForceMerges = metrics.NewCounter("vm_active_force_merges")
snapshotsCreateTotal = metrics.NewCounter(`vm_http_requests_total{path="/snapshot/create"}`)
snapshotsCreateErrorsTotal = metrics.NewCounter(`vm_http_request_errors_total{path="/snapshot/create"}`)
snapshotsListTotal = metrics.NewCounter(`vm_http_requests_total{path="/snapshot/list"}`)
snapshotsListErrorsTotal = metrics.NewCounter(`vm_http_request_errors_total{path="/snapshot/list"}`)
snapshotsDeleteTotal = metrics.NewCounter(`vm_http_requests_total{path="/snapshot/delete"}`)
snapshotsDeleteErrorsTotal = metrics.NewCounter(`vm_http_request_errors_total{path="/snapshot/delete"}`)
snapshotsDeleteAllTotal = metrics.NewCounter(`vm_http_requests_total{path="/snapshot/delete_all"}`)
snapshotsDeleteAllErrorsTotal = metrics.NewCounter(`vm_http_request_errors_total{path="/snapshot/delete_all"}`)
)
func writeStorageMetrics(w io.Writer, strg *storage.Storage) {
var m storage.Metrics
strg.UpdateMetrics(&m)
tm := &m.TableMetrics
idbm := &m.IndexDBMetrics
metrics.WriteGaugeUint64(w, fmt.Sprintf(`vm_free_disk_space_bytes{path=%q}`, *DataPath), fs.MustGetFreeSpace(*DataPath))
metrics.WriteGaugeUint64(w, fmt.Sprintf(`vm_free_disk_space_limit_bytes{path=%q}`, *DataPath), uint64(minFreeDiskSpaceBytes.N))
2019-05-22 21:16:55 +00:00
isReadOnly := 0
if strg.IsReadOnly() {
isReadOnly = 1
2019-05-22 21:16:55 +00:00
}
metrics.WriteGaugeUint64(w, fmt.Sprintf(`vm_storage_is_read_only{path=%q}`, *DataPath), uint64(isReadOnly))
metrics.WriteGaugeUint64(w, `vm_active_merges{type="storage/inmemory"}`, tm.ActiveInmemoryMerges)
metrics.WriteGaugeUint64(w, `vm_active_merges{type="storage/small"}`, tm.ActiveSmallMerges)
metrics.WriteGaugeUint64(w, `vm_active_merges{type="storage/big"}`, tm.ActiveBigMerges)
metrics.WriteGaugeUint64(w, `vm_active_merges{type="indexdb/inmemory"}`, idbm.ActiveInmemoryMerges)
metrics.WriteGaugeUint64(w, `vm_active_merges{type="indexdb/file"}`, idbm.ActiveFileMerges)
metrics.WriteCounterUint64(w, `vm_merges_total{type="storage/inmemory"}`, tm.InmemoryMergesCount)
metrics.WriteCounterUint64(w, `vm_merges_total{type="storage/small"}`, tm.SmallMergesCount)
metrics.WriteCounterUint64(w, `vm_merges_total{type="storage/big"}`, tm.BigMergesCount)
metrics.WriteCounterUint64(w, `vm_merges_total{type="indexdb/inmemory"}`, idbm.InmemoryMergesCount)
metrics.WriteCounterUint64(w, `vm_merges_total{type="indexdb/file"}`, idbm.FileMergesCount)
metrics.WriteCounterUint64(w, `vm_rows_merged_total{type="storage/inmemory"}`, tm.InmemoryRowsMerged)
metrics.WriteCounterUint64(w, `vm_rows_merged_total{type="storage/small"}`, tm.SmallRowsMerged)
metrics.WriteCounterUint64(w, `vm_rows_merged_total{type="storage/big"}`, tm.BigRowsMerged)
metrics.WriteCounterUint64(w, `vm_rows_merged_total{type="indexdb/inmemory"}`, idbm.InmemoryItemsMerged)
metrics.WriteCounterUint64(w, `vm_rows_merged_total{type="indexdb/file"}`, idbm.FileItemsMerged)
metrics.WriteCounterUint64(w, `vm_rows_deleted_total{type="storage/inmemory"}`, tm.InmemoryRowsDeleted)
metrics.WriteCounterUint64(w, `vm_rows_deleted_total{type="storage/small"}`, tm.SmallRowsDeleted)
metrics.WriteCounterUint64(w, `vm_rows_deleted_total{type="storage/big"}`, tm.BigRowsDeleted)
metrics.WriteGaugeUint64(w, `vm_part_references{type="storage/inmemory"}`, tm.InmemoryPartsRefCount)
metrics.WriteGaugeUint64(w, `vm_part_references{type="storage/small"}`, tm.SmallPartsRefCount)
metrics.WriteGaugeUint64(w, `vm_part_references{type="storage/big"}`, tm.BigPartsRefCount)
metrics.WriteGaugeUint64(w, `vm_partition_references{type="storage"}`, tm.PartitionsRefCount)
metrics.WriteGaugeUint64(w, `vm_object_references{type="indexdb"}`, idbm.IndexDBRefCount)
metrics.WriteGaugeUint64(w, `vm_part_references{type="indexdb"}`, idbm.PartsRefCount)
metrics.WriteCounterUint64(w, `vm_missing_tsids_for_metric_id_total`, idbm.MissingTSIDsForMetricID)
metrics.WriteCounterUint64(w, `vm_index_blocks_with_metric_ids_processed_total`, idbm.IndexBlocksWithMetricIDsProcessed)
metrics.WriteCounterUint64(w, `vm_index_blocks_with_metric_ids_incorrect_order_total`, idbm.IndexBlocksWithMetricIDsIncorrectOrder)
metrics.WriteGaugeUint64(w, `vm_composite_index_min_timestamp`, idbm.MinTimestampForCompositeIndex/1e3)
metrics.WriteCounterUint64(w, `vm_composite_filter_success_conversions_total`, idbm.CompositeFilterSuccessConversions)
metrics.WriteCounterUint64(w, `vm_composite_filter_missing_conversions_total`, idbm.CompositeFilterMissingConversions)
lib/{mergeset,storage}: make background merge more responsive and scalable - Maintain a separate worker pool per each part type (in-memory, file, big and small). Previously a shared pool was used for merging all the part types. A single merge worker could merge parts with mixed types at once. For example, it could merge simultaneously an in-memory part plus a big file part. Such a merge could take hours for big file part. During the duration of this merge the in-memory part was pinned in memory and couldn't be persisted to disk under the configured -inmemoryDataFlushInterval . Another common issue, which could happen when parts with mixed types are merged, is uncontrolled growth of in-memory parts or small parts when all the merge workers were busy with merging big files. Such growth could lead to significant performance degradataion for queries, since every query needs to check ever growing list of parts. This could also slow down the registration of new time series, since VictoriaMetrics searches for the internal series_id in the indexdb for every new time series. The third issue is graceful shutdown duration, which could be very long when a background merge is running on in-memory parts plus big file parts. This merge couldn't be interrupted, since it merges in-memory parts. A separate pool of merge workers per every part type elegantly resolves both issues: - In-memory parts are merged to file-based parts in a timely manner, since the maximum size of in-memory parts is limited. - Long-running merges for big parts do not block merges for in-memory parts and small parts. - Graceful shutdown duration is now limited by the time needed for flushing in-memory parts to files. Merging for file parts is instantly canceled on graceful shutdown now. - Deprecate -smallMergeConcurrency command-line flag, since the new background merge algorithm should automatically self-tune according to the number of available CPU cores. - Deprecate -finalMergeDelay command-line flag, since it wasn't working correctly. It is better to run forced merge when needed - https://docs.victoriametrics.com/#forced-merge - Tune the number of shards for pending rows and items before the data goes to in-memory parts and becomes visible for search. This improves the maximum data ingestion rate and the maximum rate for registration of new time series. This should reduce the duration of data ingestion slowdown in VictoriaMetrics cluster on e.g. re-routing events, when some of vmstorage nodes become temporarily unavailable. - Prevent from possible "sync: WaitGroup misuse" panic on graceful shutdown. This is a follow-up for fa566c68a6ccf7385a05f649aee7e5f5a38afb15 . Thanks @misutoth to for the inspiration at https://github.com/VictoriaMetrics/VictoriaMetrics/pull/5212 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5190 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3790 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3551 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3337 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3425 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3647 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3641 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/648 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/291
2024-01-26 20:39:49 +00:00
// vm_assisted_merges_total name is used for backwards compatibility.
metrics.WriteCounterUint64(w, `vm_assisted_merges_total{type="indexdb/inmemory"}`, idbm.InmemoryPartsLimitReachedCount)
metrics.WriteCounterUint64(w, `vm_indexdb_items_added_total`, idbm.ItemsAdded)
metrics.WriteCounterUint64(w, `vm_indexdb_items_added_size_bytes_total`, idbm.ItemsAddedSizeBytes)
metrics.WriteCounterUint64(w, `vm_indexdb_items_dropped_total{reason="too_long_item"}`, idbm.TooLongItemsDroppedTotal)
metrics.WriteGaugeUint64(w, `vm_pending_rows{type="storage"}`, tm.PendingRows)
metrics.WriteGaugeUint64(w, `vm_pending_rows{type="indexdb"}`, idbm.PendingItems)
metrics.WriteGaugeUint64(w, `vm_parts{type="storage/inmemory"}`, tm.InmemoryPartsCount)
metrics.WriteGaugeUint64(w, `vm_parts{type="storage/small"}`, tm.SmallPartsCount)
metrics.WriteGaugeUint64(w, `vm_parts{type="storage/big"}`, tm.BigPartsCount)
metrics.WriteGaugeUint64(w, `vm_parts{type="indexdb/inmemory"}`, idbm.InmemoryPartsCount)
metrics.WriteGaugeUint64(w, `vm_parts{type="indexdb/file"}`, idbm.FilePartsCount)
metrics.WriteGaugeUint64(w, `vm_last_partition_parts{type="storage/inmemory"}`, tm.LastPartition.InmemoryPartsCount)
metrics.WriteGaugeUint64(w, `vm_last_partition_parts{type="storage/small"}`, tm.LastPartition.SmallPartsCount)
metrics.WriteGaugeUint64(w, `vm_last_partition_parts{type="storage/big"}`, tm.LastPartition.BigPartsCount)
metrics.WriteGaugeUint64(w, `vm_blocks{type="storage/inmemory"}`, tm.InmemoryBlocksCount)
metrics.WriteGaugeUint64(w, `vm_blocks{type="storage/small"}`, tm.SmallBlocksCount)
metrics.WriteGaugeUint64(w, `vm_blocks{type="storage/big"}`, tm.BigBlocksCount)
metrics.WriteGaugeUint64(w, `vm_blocks{type="indexdb/inmemory"}`, idbm.InmemoryBlocksCount)
metrics.WriteGaugeUint64(w, `vm_blocks{type="indexdb/file"}`, idbm.FileBlocksCount)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="storage/inmemory"}`, tm.InmemorySizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="storage/small"}`, tm.SmallSizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="storage/big"}`, tm.BigSizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="indexdb/inmemory"}`, idbm.InmemorySizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="indexdb/file"}`, idbm.FileSizeBytes)
metrics.WriteCounterUint64(w, `vm_rows_added_to_storage_total`, m.RowsAddedTotal)
metrics.WriteCounterUint64(w, `vm_deduplicated_samples_total{type="merge"}`, m.DedupsDuringMerge)
metrics.WriteGaugeUint64(w, `vm_snapshots`, m.SnapshotsCount)
metrics.WriteCounterUint64(w, `vm_rows_ignored_total{reason="big_timestamp"}`, m.TooBigTimestampRows)
metrics.WriteCounterUint64(w, `vm_rows_ignored_total{reason="small_timestamp"}`, m.TooSmallTimestampRows)
metrics.WriteCounterUint64(w, `vm_timeseries_repopulated_total`, m.TimeseriesRepopulated)
metrics.WriteCounterUint64(w, `vm_timeseries_precreated_total`, m.TimeseriesPreCreated)
metrics.WriteCounterUint64(w, `vm_new_timeseries_created_total`, m.NewTimeseriesCreated)
metrics.WriteCounterUint64(w, `vm_slow_row_inserts_total`, m.SlowRowInserts)
metrics.WriteCounterUint64(w, `vm_slow_per_day_index_inserts_total`, m.SlowPerDayIndexInserts)
metrics.WriteCounterUint64(w, `vm_slow_metric_name_loads_total`, m.SlowMetricNameLoads)
if *maxHourlySeries > 0 {
metrics.WriteGaugeUint64(w, `vm_hourly_series_limit_current_series`, m.HourlySeriesLimitCurrentSeries)
metrics.WriteGaugeUint64(w, `vm_hourly_series_limit_max_series`, m.HourlySeriesLimitMaxSeries)
metrics.WriteCounterUint64(w, `vm_hourly_series_limit_rows_dropped_total`, m.HourlySeriesLimitRowsDropped)
}
if *maxDailySeries > 0 {
metrics.WriteGaugeUint64(w, `vm_daily_series_limit_current_series`, m.DailySeriesLimitCurrentSeries)
metrics.WriteGaugeUint64(w, `vm_daily_series_limit_max_series`, m.DailySeriesLimitMaxSeries)
metrics.WriteCounterUint64(w, `vm_daily_series_limit_rows_dropped_total`, m.DailySeriesLimitRowsDropped)
}
metrics.WriteCounterUint64(w, `vm_timestamps_blocks_merged_total`, m.TimestampsBlocksMerged)
metrics.WriteCounterUint64(w, `vm_timestamps_bytes_saved_total`, m.TimestampsBytesSaved)
metrics.WriteGaugeUint64(w, `vm_rows{type="storage/inmemory"}`, tm.InmemoryRowsCount)
metrics.WriteGaugeUint64(w, `vm_rows{type="storage/small"}`, tm.SmallRowsCount)
metrics.WriteGaugeUint64(w, `vm_rows{type="storage/big"}`, tm.BigRowsCount)
metrics.WriteGaugeUint64(w, `vm_rows{type="indexdb/inmemory"}`, idbm.InmemoryItemsCount)
metrics.WriteGaugeUint64(w, `vm_rows{type="indexdb/file"}`, idbm.FileItemsCount)
metrics.WriteCounterUint64(w, `vm_date_range_search_calls_total`, idbm.DateRangeSearchCalls)
metrics.WriteCounterUint64(w, `vm_date_range_hits_total`, idbm.DateRangeSearchHits)
metrics.WriteCounterUint64(w, `vm_global_search_calls_total`, idbm.GlobalSearchCalls)
metrics.WriteCounterUint64(w, `vm_missing_metric_names_for_metric_id_total`, idbm.MissingMetricNamesForMetricID)
metrics.WriteCounterUint64(w, `vm_date_metric_id_cache_syncs_total`, m.DateMetricIDCacheSyncsCount)
metrics.WriteCounterUint64(w, `vm_date_metric_id_cache_resets_total`, m.DateMetricIDCacheResetsCount)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/tsid"}`, m.TSIDCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/metricIDs"}`, m.MetricIDCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/metricName"}`, m.MetricNameCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/date_metricID"}`, m.DateMetricIDCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/hour_metric_ids"}`, m.HourMetricIDCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/next_day_metric_ids"}`, m.NextDayMetricIDCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/indexBlocks"}`, tm.IndexBlocksCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="indexdb/dataBlocks"}`, idbm.DataBlocksCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="indexdb/indexBlocks"}`, idbm.IndexBlocksCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="indexdb/tagFiltersToMetricIDs"}`, idbm.TagFiltersToMetricIDsCacheSize)
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/regexps"}`, uint64(storage.RegexpCacheSize()))
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/regexpPrefixes"}`, uint64(storage.RegexpPrefixesCacheSize()))
metrics.WriteGaugeUint64(w, `vm_cache_entries{type="storage/prefetchedMetricIDs"}`, m.PrefetchedMetricIDsSize)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/tsid"}`, m.TSIDCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/metricIDs"}`, m.MetricIDCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/metricName"}`, m.MetricNameCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/indexBlocks"}`, tm.IndexBlocksCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="indexdb/dataBlocks"}`, idbm.DataBlocksCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="indexdb/indexBlocks"}`, idbm.IndexBlocksCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/date_metricID"}`, m.DateMetricIDCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/hour_metric_ids"}`, m.HourMetricIDCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/next_day_metric_ids"}`, m.NextDayMetricIDCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="indexdb/tagFiltersToMetricIDs"}`, idbm.TagFiltersToMetricIDsCacheSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/regexps"}`, uint64(storage.RegexpCacheSizeBytes()))
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/regexpPrefixes"}`, uint64(storage.RegexpPrefixesCacheSizeBytes()))
metrics.WriteGaugeUint64(w, `vm_cache_size_bytes{type="storage/prefetchedMetricIDs"}`, m.PrefetchedMetricIDsSizeBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_max_bytes{type="storage/tsid"}`, m.TSIDCacheSizeMaxBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_max_bytes{type="storage/metricIDs"}`, m.MetricIDCacheSizeMaxBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_max_bytes{type="storage/metricName"}`, m.MetricNameCacheSizeMaxBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_max_bytes{type="storage/indexBlocks"}`, tm.IndexBlocksCacheSizeMaxBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_max_bytes{type="indexdb/dataBlocks"}`, idbm.DataBlocksCacheSizeMaxBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_max_bytes{type="indexdb/indexBlocks"}`, idbm.IndexBlocksCacheSizeMaxBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_max_bytes{type="indexdb/tagFiltersToMetricIDs"}`, idbm.TagFiltersToMetricIDsCacheSizeMaxBytes)
metrics.WriteGaugeUint64(w, `vm_cache_size_max_bytes{type="storage/regexps"}`, uint64(storage.RegexpCacheMaxSizeBytes()))
metrics.WriteGaugeUint64(w, `vm_cache_size_max_bytes{type="storage/regexpPrefixes"}`, uint64(storage.RegexpPrefixesCacheMaxSizeBytes()))
metrics.WriteCounterUint64(w, `vm_cache_requests_total{type="storage/tsid"}`, m.TSIDCacheRequests)
metrics.WriteCounterUint64(w, `vm_cache_requests_total{type="storage/metricIDs"}`, m.MetricIDCacheRequests)
metrics.WriteCounterUint64(w, `vm_cache_requests_total{type="storage/metricName"}`, m.MetricNameCacheRequests)
metrics.WriteCounterUint64(w, `vm_cache_requests_total{type="storage/indexBlocks"}`, tm.IndexBlocksCacheRequests)
metrics.WriteCounterUint64(w, `vm_cache_requests_total{type="indexdb/dataBlocks"}`, idbm.DataBlocksCacheRequests)
metrics.WriteCounterUint64(w, `vm_cache_requests_total{type="indexdb/indexBlocks"}`, idbm.IndexBlocksCacheRequests)
metrics.WriteCounterUint64(w, `vm_cache_requests_total{type="indexdb/tagFiltersToMetricIDs"}`, idbm.TagFiltersToMetricIDsCacheRequests)
metrics.WriteCounterUint64(w, `vm_cache_requests_total{type="storage/regexps"}`, storage.RegexpCacheRequests())
metrics.WriteCounterUint64(w, `vm_cache_requests_total{type="storage/regexpPrefixes"}`, storage.RegexpPrefixesCacheRequests())
metrics.WriteCounterUint64(w, `vm_cache_misses_total{type="storage/tsid"}`, m.TSIDCacheMisses)
metrics.WriteCounterUint64(w, `vm_cache_misses_total{type="storage/metricIDs"}`, m.MetricIDCacheMisses)
metrics.WriteCounterUint64(w, `vm_cache_misses_total{type="storage/metricName"}`, m.MetricNameCacheMisses)
metrics.WriteCounterUint64(w, `vm_cache_misses_total{type="storage/indexBlocks"}`, tm.IndexBlocksCacheMisses)
metrics.WriteCounterUint64(w, `vm_cache_misses_total{type="indexdb/dataBlocks"}`, idbm.DataBlocksCacheMisses)
metrics.WriteCounterUint64(w, `vm_cache_misses_total{type="indexdb/indexBlocks"}`, idbm.IndexBlocksCacheMisses)
metrics.WriteCounterUint64(w, `vm_cache_misses_total{type="indexdb/tagFiltersToMetricIDs"}`, idbm.TagFiltersToMetricIDsCacheMisses)
metrics.WriteCounterUint64(w, `vm_cache_misses_total{type="storage/regexps"}`, storage.RegexpCacheMisses())
metrics.WriteCounterUint64(w, `vm_cache_misses_total{type="storage/regexpPrefixes"}`, storage.RegexpPrefixesCacheMisses())
metrics.WriteCounterUint64(w, `vm_deleted_metrics_total{type="indexdb"}`, idbm.DeletedMetricsCount)
metrics.WriteCounterUint64(w, `vm_cache_collisions_total{type="storage/tsid"}`, m.TSIDCacheCollisions)
metrics.WriteCounterUint64(w, `vm_cache_collisions_total{type="storage/metricName"}`, m.MetricNameCacheCollisions)
metrics.WriteGaugeUint64(w, `vm_next_retention_seconds`, m.NextRetentionSeconds)
metrics.WriteGaugeUint64(w, `vm_downsampling_partitions_scheduled`, tm.ScheduledDownsamplingPartitions)
metrics.WriteGaugeUint64(w, `vm_downsampling_partitions_scheduled_size_bytes`, tm.ScheduledDownsamplingPartitionsSize)
2019-05-22 21:16:55 +00:00
}
func jsonResponseError(w http.ResponseWriter, err error) {
logger.Errorf("%s", err)
w.WriteHeader(http.StatusInternalServerError)
fmt.Fprintf(w, `{"status":"error","msg":%q}`, err)
}