mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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348c1bcec0
This should improve repated VMUI page load times on slow networks See https://developer.chrome.com/docs/lighthouse/performance/uses-long-cache-ttl/
169 lines
5.5 KiB
Go
169 lines
5.5 KiB
Go
package vlselect
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import (
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"embed"
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"flag"
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"fmt"
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"net/http"
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"strings"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vlselect/logsql"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/httputils"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/timerpool"
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"github.com/VictoriaMetrics/metrics"
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)
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var (
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maxConcurrentRequests = flag.Int("search.maxConcurrentRequests", getDefaultMaxConcurrentRequests(), "The maximum number of concurrent search requests. "+
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"It shouldn't be high, since a single request can saturate all the CPU cores, while many concurrently executed requests may require high amounts of memory. "+
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"See also -search.maxQueueDuration")
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maxQueueDuration = flag.Duration("search.maxQueueDuration", 10*time.Second, "The maximum time the search request waits for execution when -search.maxConcurrentRequests "+
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"limit is reached; see also -search.maxQueryDuration")
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maxQueryDuration = flag.Duration("search.maxQueryDuration", time.Second*30, "The maximum duration for query execution")
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)
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func getDefaultMaxConcurrentRequests() int {
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n := cgroup.AvailableCPUs()
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if n <= 4 {
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n *= 2
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}
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if n > 16 {
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// A single request can saturate all the CPU cores, so there is no sense
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// in allowing higher number of concurrent requests - they will just contend
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// for unavailable CPU time.
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n = 16
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}
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return n
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}
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// Init initializes vlselect
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func Init() {
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concurrencyLimitCh = make(chan struct{}, *maxConcurrentRequests)
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}
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// Stop stops vlselect
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func Stop() {
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}
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var concurrencyLimitCh chan struct{}
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var (
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concurrencyLimitReached = metrics.NewCounter(`vl_concurrent_select_limit_reached_total`)
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concurrencyLimitTimeout = metrics.NewCounter(`vl_concurrent_select_limit_timeout_total`)
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_ = metrics.NewGauge(`vl_concurrent_select_capacity`, func() float64 {
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return float64(cap(concurrencyLimitCh))
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})
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_ = metrics.NewGauge(`vl_concurrent_select_current`, func() float64 {
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return float64(len(concurrencyLimitCh))
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})
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)
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//go:embed vmui
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var vmuiFiles embed.FS
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var vmuiFileServer = http.FileServer(http.FS(vmuiFiles))
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// RequestHandler handles select requests for VictoriaLogs
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func RequestHandler(w http.ResponseWriter, r *http.Request) bool {
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path := r.URL.Path
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if !strings.HasPrefix(path, "/select/") {
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// Skip requests, which do not start with /select/, since these aren't our requests.
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return false
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}
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path = strings.TrimPrefix(path, "/select")
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path = strings.ReplaceAll(path, "//", "/")
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if path == "/vmui" {
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// VMUI access via incomplete url without `/` in the end. Redirect to complete url.
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// Use relative redirect, since the hostname and path prefix may be incorrect if VictoriaMetrics
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// is hidden behind vmauth or similar proxy.
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_ = r.ParseForm()
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newURL := "vmui/?" + r.Form.Encode()
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httpserver.Redirect(w, newURL)
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return true
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}
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if strings.HasPrefix(path, "/vmui/") {
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if strings.HasPrefix(path, "/vmui/static/") {
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// Allow clients caching static contents for long period of time, since it shouldn't change over time.
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// Path to static contents (such as js and css) must be changed whenever its contents is changed.
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// See https://developer.chrome.com/docs/lighthouse/performance/uses-long-cache-ttl/
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w.Header().Set("Cache-Control", "max-age=31536000")
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}
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r.URL.Path = path
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vmuiFileServer.ServeHTTP(w, r)
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return true
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}
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// Limit the number of concurrent queries, which can consume big amounts of CPU.
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startTime := time.Now()
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stopCh := r.Context().Done()
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select {
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case concurrencyLimitCh <- struct{}{}:
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defer func() { <-concurrencyLimitCh }()
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default:
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// Sleep for a while until giving up. This should resolve short bursts in requests.
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concurrencyLimitReached.Inc()
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d := getMaxQueryDuration(r)
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if d > *maxQueueDuration {
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d = *maxQueueDuration
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}
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t := timerpool.Get(d)
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select {
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case concurrencyLimitCh <- struct{}{}:
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timerpool.Put(t)
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defer func() { <-concurrencyLimitCh }()
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case <-stopCh:
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timerpool.Put(t)
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remoteAddr := httpserver.GetQuotedRemoteAddr(r)
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requestURI := httpserver.GetRequestURI(r)
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logger.Infof("client has cancelled the request after %.3f seconds: remoteAddr=%s, requestURI: %q",
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time.Since(startTime).Seconds(), remoteAddr, requestURI)
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return true
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case <-t.C:
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timerpool.Put(t)
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concurrencyLimitTimeout.Inc()
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err := &httpserver.ErrorWithStatusCode{
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Err: fmt.Errorf("couldn't start executing the request in %.3f seconds, since -search.maxConcurrentRequests=%d concurrent requests "+
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"are executed. Possible solutions: to reduce query load; to add more compute resources to the server; "+
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"to increase -search.maxQueueDuration=%s; to increase -search.maxQueryDuration; to increase -search.maxConcurrentRequests",
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d.Seconds(), *maxConcurrentRequests, maxQueueDuration),
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StatusCode: http.StatusServiceUnavailable,
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}
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httpserver.Errorf(w, r, "%s", err)
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return true
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}
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}
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switch {
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case path == "/logsql/query":
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logsqlQueryRequests.Inc()
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httpserver.EnableCORS(w, r)
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logsql.ProcessQueryRequest(w, r, stopCh)
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return true
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default:
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return false
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}
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}
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// getMaxQueryDuration returns the maximum duration for query from r.
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func getMaxQueryDuration(r *http.Request) time.Duration {
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dms, err := httputils.GetDuration(r, "timeout", 0)
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if err != nil {
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dms = 0
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}
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d := time.Duration(dms) * time.Millisecond
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if d <= 0 || d > *maxQueryDuration {
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d = *maxQueryDuration
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}
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return d
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}
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var (
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logsqlQueryRequests = metrics.NewCounter(`vl_http_requests_total{path="/select/logsql/query"}`)
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)
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