1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
|
package influxdb
import (
"fmt"
uurl "net/url"
"time"
"github.com/ethereum/go-ethereum/log"
"github.com/ethereum/go-ethereum/metrics"
"github.com/influxdata/influxdb/client"
)
type reporter struct {
reg metrics.Registry
interval time.Duration
url uurl.URL
database string
username string
password string
namespace string
tags map[string]string
client *client.Client
cache map[string]int64
}
// InfluxDB starts a InfluxDB reporter which will post the from the given metrics.Registry at each d interval.
func InfluxDB(r metrics.Registry, d time.Duration, url, database, username, password, namespace string) {
InfluxDBWithTags(r, d, url, database, username, password, namespace, nil)
}
// InfluxDBWithTags starts a InfluxDB reporter which will post the from the given metrics.Registry at each d interval with the specified tags
func InfluxDBWithTags(r metrics.Registry, d time.Duration, url, database, username, password, namespace string, tags map[string]string) {
u, err := uurl.Parse(url)
if err != nil {
log.Warn("Unable to parse InfluxDB", "url", url, "err", err)
return
}
rep := &reporter{
reg: r,
interval: d,
url: *u,
database: database,
username: username,
password: password,
namespace: namespace,
tags: tags,
cache: make(map[string]int64),
}
if err := rep.makeClient(); err != nil {
log.Warn("Unable to make InfluxDB client", "err", err)
return
}
rep.run()
}
func (r *reporter) makeClient() (err error) {
r.client, err = client.NewClient(client.Config{
URL: r.url,
Username: r.username,
Password: r.password,
})
return
}
func (r *reporter) run() {
intervalTicker := time.Tick(r.interval)
pingTicker := time.Tick(time.Second * 5)
for {
select {
case <-intervalTicker:
if err := r.send(); err != nil {
log.Warn("Unable to send to InfluxDB", "err", err)
}
case <-pingTicker:
_, _, err := r.client.Ping()
if err != nil {
log.Warn("Got error while sending a ping to InfluxDB, trying to recreate client", "err", err)
if err = r.makeClient(); err != nil {
log.Warn("Unable to make InfluxDB client", "err", err)
}
}
}
}
}
func (r *reporter) send() error {
var pts []client.Point
r.reg.Each(func(name string, i interface{}) {
now := time.Now()
namespace := r.namespace
switch metric := i.(type) {
case metrics.Counter:
v := metric.Count()
l := r.cache[name]
pts = append(pts, client.Point{
Measurement: fmt.Sprintf("%s%s.count", namespace, name),
Tags: r.tags,
Fields: map[string]interface{}{
"value": v - l,
},
Time: now,
})
r.cache[name] = v
case metrics.Gauge:
ms := metric.Snapshot()
pts = append(pts, client.Point{
Measurement: fmt.Sprintf("%s%s.gauge", namespace, name),
Tags: r.tags,
Fields: map[string]interface{}{
"value": ms.Value(),
},
Time: now,
})
case metrics.GaugeFloat64:
ms := metric.Snapshot()
pts = append(pts, client.Point{
Measurement: fmt.Sprintf("%s%s.gauge", namespace, name),
Tags: r.tags,
Fields: map[string]interface{}{
"value": ms.Value(),
},
Time: now,
})
case metrics.Histogram:
ms := metric.Snapshot()
ps := ms.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999})
pts = append(pts, client.Point{
Measurement: fmt.Sprintf("%s%s.histogram", namespace, name),
Tags: r.tags,
Fields: map[string]interface{}{
"count": ms.Count(),
"max": ms.Max(),
"mean": ms.Mean(),
"min": ms.Min(),
"stddev": ms.StdDev(),
"variance": ms.Variance(),
"p50": ps[0],
"p75": ps[1],
"p95": ps[2],
"p99": ps[3],
"p999": ps[4],
"p9999": ps[5],
},
Time: now,
})
case metrics.Meter:
ms := metric.Snapshot()
pts = append(pts, client.Point{
Measurement: fmt.Sprintf("%s%s.meter", namespace, name),
Tags: r.tags,
Fields: map[string]interface{}{
"count": ms.Count(),
"m1": ms.Rate1(),
"m5": ms.Rate5(),
"m15": ms.Rate15(),
"mean": ms.RateMean(),
},
Time: now,
})
case metrics.Timer:
ms := metric.Snapshot()
ps := ms.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999})
pts = append(pts, client.Point{
Measurement: fmt.Sprintf("%s%s.timer", namespace, name),
Tags: r.tags,
Fields: map[string]interface{}{
"count": ms.Count(),
"max": ms.Max(),
"mean": ms.Mean(),
"min": ms.Min(),
"stddev": ms.StdDev(),
"variance": ms.Variance(),
"p50": ps[0],
"p75": ps[1],
"p95": ps[2],
"p99": ps[3],
"p999": ps[4],
"p9999": ps[5],
"m1": ms.Rate1(),
"m5": ms.Rate5(),
"m15": ms.Rate15(),
"meanrate": ms.RateMean(),
},
Time: now,
})
case metrics.ResettingTimer:
t := metric.Snapshot()
if len(t.Values()) > 0 {
ps := t.Percentiles([]float64{50, 95, 99})
val := t.Values()
pts = append(pts, client.Point{
Measurement: fmt.Sprintf("%s%s.span", namespace, name),
Tags: r.tags,
Fields: map[string]interface{}{
"count": len(val),
"max": val[len(val)-1],
"mean": t.Mean(),
"min": val[0],
"p50": ps[0],
"p95": ps[1],
"p99": ps[2],
},
Time: now,
})
}
}
})
bps := client.BatchPoints{
Points: pts,
Database: r.database,
}
_, err := r.client.Write(bps)
return err
}
|