Parse statsd lines with multiple metric bits

This commit is contained in:
Daniel Malon
2015-11-08 10:19:00 +00:00
parent b705608b04
commit e9fa7b48a6
3 changed files with 241 additions and 83 deletions

View File

@@ -254,101 +254,109 @@ func (s *Statsd) parseStatsdLine(line string) error {
s.Lock()
defer s.Unlock()
m := metric{}
// Validate splitting the line on "|"
pipesplit := strings.Split(line, "|")
if len(pipesplit) < 2 {
log.Printf("Error: splitting '|', Unable to parse metric: %s\n", line)
return errors.New("Error Parsing statsd line")
} else if len(pipesplit) > 2 {
sr := pipesplit[2]
errmsg := "Error: parsing sample rate, %s, it must be in format like: " +
"@0.1, @0.5, etc. Ignoring sample rate for line: %s\n"
if strings.Contains(sr, "@") && len(sr) > 1 {
samplerate, err := strconv.ParseFloat(sr[1:], 64)
if err != nil {
log.Printf(errmsg, err.Error(), line)
} else {
// sample rate successfully parsed
m.samplerate = samplerate
}
} else {
log.Printf(errmsg, "", line)
}
}
// Validate metric type
switch pipesplit[1] {
case "g", "c", "s", "ms", "h":
m.mtype = pipesplit[1]
default:
log.Printf("Error: Statsd Metric type %s unsupported", pipesplit[1])
return errors.New("Error Parsing statsd line")
}
// Validate splitting the rest of the line on ":"
colonsplit := strings.Split(pipesplit[0], ":")
if len(colonsplit) != 2 {
// Validate splitting the line on ":"
bits := strings.Split(line, ":")
if len(bits) < 2 {
log.Printf("Error: splitting ':', Unable to parse metric: %s\n", line)
return errors.New("Error Parsing statsd line")
}
m.bucket = colonsplit[0]
// Parse the value
if strings.ContainsAny(colonsplit[1], "-+") {
if m.mtype != "g" {
log.Printf("Error: +- values are only supported for gauges: %s\n", line)
// Extract bucket name from individual metric bits
bucketName, bits := bits[0], bits[1:]
// Add a metric for each bit available
for _, bit := range bits {
m := metric{}
m.bucket = bucketName
// Validate splitting the bit on "|"
pipesplit := strings.Split(bit, "|")
if len(pipesplit) < 2 {
log.Printf("Error: splitting '|', Unable to parse metric: %s\n", line)
return errors.New("Error Parsing statsd line")
} else if len(pipesplit) > 2 {
sr := pipesplit[2]
errmsg := "Error: parsing sample rate, %s, it must be in format like: " +
"@0.1, @0.5, etc. Ignoring sample rate for line: %s\n"
if strings.Contains(sr, "@") && len(sr) > 1 {
samplerate, err := strconv.ParseFloat(sr[1:], 64)
if err != nil {
log.Printf(errmsg, err.Error(), line)
} else {
// sample rate successfully parsed
m.samplerate = samplerate
}
} else {
log.Printf(errmsg, "", line)
}
}
// Validate metric type
switch pipesplit[1] {
case "g", "c", "s", "ms", "h":
m.mtype = pipesplit[1]
default:
log.Printf("Error: Statsd Metric type %s unsupported", pipesplit[1])
return errors.New("Error Parsing statsd line")
}
m.additive = true
}
switch m.mtype {
case "g", "ms", "h":
v, err := strconv.ParseFloat(colonsplit[1], 64)
if err != nil {
log.Printf("Error: parsing value to float64: %s\n", line)
return errors.New("Error Parsing statsd line")
// Parse the value
if strings.ContainsAny(pipesplit[0], "-+") {
if m.mtype != "g" {
log.Printf("Error: +- values are only supported for gauges: %s\n", line)
return errors.New("Error Parsing statsd line")
}
m.additive = true
}
m.floatvalue = v
case "c", "s":
v, err := strconv.ParseInt(colonsplit[1], 10, 64)
if err != nil {
log.Printf("Error: parsing value to int64: %s\n", line)
return errors.New("Error Parsing statsd line")
switch m.mtype {
case "g", "ms", "h":
v, err := strconv.ParseFloat(pipesplit[0], 64)
if err != nil {
log.Printf("Error: parsing value to float64: %s\n", line)
return errors.New("Error Parsing statsd line")
}
m.floatvalue = v
case "c", "s":
v, err := strconv.ParseInt(pipesplit[0], 10, 64)
if err != nil {
log.Printf("Error: parsing value to int64: %s\n", line)
return errors.New("Error Parsing statsd line")
}
// If a sample rate is given with a counter, divide value by the rate
if m.samplerate != 0 && m.mtype == "c" {
v = int64(float64(v) / m.samplerate)
}
m.intvalue = v
}
// If a sample rate is given with a counter, divide value by the rate
if m.samplerate != 0 && m.mtype == "c" {
v = int64(float64(v) / m.samplerate)
// Parse the name & tags from bucket
m.name, m.tags = s.parseName(m.bucket)
switch m.mtype {
case "c":
m.tags["metric_type"] = "counter"
case "g":
m.tags["metric_type"] = "gauge"
case "s":
m.tags["metric_type"] = "set"
case "ms":
m.tags["metric_type"] = "timing"
case "h":
m.tags["metric_type"] = "histogram"
}
m.intvalue = v
// Make a unique key for the measurement name/tags
var tg []string
for k, v := range m.tags {
tg = append(tg, fmt.Sprintf("%s=%s", k, v))
}
sort.Strings(tg)
m.hash = fmt.Sprintf("%s%s", strings.Join(tg, ""), m.name)
s.aggregate(m)
}
// Parse the name & tags from bucket
m.name, m.tags = s.parseName(m.bucket)
switch m.mtype {
case "c":
m.tags["metric_type"] = "counter"
case "g":
m.tags["metric_type"] = "gauge"
case "s":
m.tags["metric_type"] = "set"
case "ms":
m.tags["metric_type"] = "timing"
case "h":
m.tags["metric_type"] = "histogram"
}
// Make a unique key for the measurement name/tags
var tg []string
for k, v := range m.tags {
tg = append(tg, fmt.Sprintf("%s=%s", k, v))
}
sort.Strings(tg)
m.hash = fmt.Sprintf("%s%s", strings.Join(tg, ""), m.name)
s.aggregate(m)
return nil
}