package datadogutils import ( "flag" "regexp" "strings" "github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil" "github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil" ) var ( // MaxInsertRequestSize is the maximum request size is defined at https://docs.datadoghq.com/api/latest/metrics/#submit-metrics MaxInsertRequestSize = flagutil.NewBytes("datadog.maxInsertRequestSize", 64*1024*1024, "The maximum size in bytes of a single DataDog POST request to /datadog/api/v2/series") // SanitizeMetricName controls sanitizing metric names ingested via DataDog protocols. // // If all metrics in Datadog have the same naming schema as custom metrics, then the following rules apply: // https://docs.datadoghq.com/metrics/custom_metrics/#naming-custom-metrics // But there's some hidden behaviour. In addition to what it states in the docs, the following is also done: // - Consecutive underscores are replaced with just one underscore // - Underscore immediately before or after a dot are removed SanitizeMetricName = flag.Bool("datadog.sanitizeMetricName", true, "Sanitize metric names for the ingested DataDog data to comply with DataDog behaviour described at "+ "https://docs.datadoghq.com/metrics/custom_metrics/#naming-custom-metrics") ) // SplitTag splits DataDog tag into tag name and value. // // See https://docs.datadoghq.com/getting_started/tagging/#define-tags func SplitTag(tag string) (string, string) { n := strings.IndexByte(tag, ':') if n < 0 { // No tag value. return tag, "no_label_value" } return tag[:n], tag[n+1:] } // SanitizeName performs DataDog-compatible sanitizing for metric names // // See https://docs.datadoghq.com/metrics/custom_metrics/#naming-custom-metrics func SanitizeName(name string) string { return namesSanitizer.Transform(name) } var namesSanitizer = bytesutil.NewFastStringTransformer(func(s string) string { s = unsupportedDatadogChars.ReplaceAllLiteralString(s, "_") s = multiUnderscores.ReplaceAllLiteralString(s, "_") s = underscoresWithDots.ReplaceAllLiteralString(s, ".") return s }) var ( unsupportedDatadogChars = regexp.MustCompile(`[^0-9a-zA-Z_\.]+`) multiUnderscores = regexp.MustCompile(`_+`) underscoresWithDots = regexp.MustCompile(`_?\._?`) )