forked from influxdata/influxdb
-
Notifications
You must be signed in to change notification settings - Fork 0
/
influx_stress.go
154 lines (135 loc) · 3.96 KB
/
influx_stress.go
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
package main
import (
"flag"
"fmt"
"math/rand"
"net/url"
"runtime"
"sort"
"sync"
"time"
"github.com/influxdb/influxdb/client"
)
var (
batchSize = flag.Int("batchsize", 5000, "number of points per batch")
seriesCount = flag.Int("series", 100000, "number of unique series to create")
pointCount = flag.Int("points", 100, "number of points per series to create")
concurrency = flag.Int("concurrency", 10, "number of simultaneous writes to run")
batchInterval = flag.Duration("batchinterval", 0*time.Second, "duration between batches")
database = flag.String("database", "stress", "name of database")
address = flag.String("addr", "localhost:8086", "IP address and port of database (e.g., localhost:8086)")
)
func main() {
flag.Parse()
runtime.GOMAXPROCS(runtime.NumCPU())
startTime := time.Now()
counter := NewConcurrencyLimiter(*concurrency)
u, _ := url.Parse(fmt.Sprintf("http://%s", *address))
c, err := client.NewClient(client.Config{URL: *u})
if err != nil {
panic(err)
}
var mu sync.Mutex
var wg sync.WaitGroup
responseTimes := make([]int, 0)
totalPoints := 0
for i := 1; i <= *pointCount; i++ {
batch := &client.BatchPoints{
Database: *database,
WriteConsistency: "any",
Time: time.Now(),
Precision: "n",
}
for j := 1; j <= *seriesCount; j++ {
p := client.Point{
Measurement: "cpu",
Tags: map[string]string{"region": "uswest", "host": fmt.Sprintf("host-%d", j)},
Fields: map[string]interface{}{"value": rand.Float64()},
}
batch.Points = append(batch.Points, p)
if len(batch.Points) >= *batchSize {
wg.Add(1)
counter.Increment()
totalPoints += len(batch.Points)
go func(b *client.BatchPoints, total int) {
st := time.Now()
if _, err := c.Write(*b); err != nil {
fmt.Println("ERROR: ", err.Error())
} else {
mu.Lock()
responseTimes = append(responseTimes, int(time.Since(st).Nanoseconds()))
mu.Unlock()
}
wg.Done()
counter.Decrement()
if total%1000000 == 0 {
fmt.Printf("%d total points. %d in %s\n", total, *batchSize, time.Since(st))
}
}(batch, totalPoints)
batch = &client.BatchPoints{
Database: *database,
WriteConsistency: "any",
Precision: "n",
}
}
}
}
wg.Wait()
sort.Sort(sort.Reverse(sort.IntSlice(responseTimes)))
total := int64(0)
for _, t := range responseTimes {
total += int64(t)
}
mean := total / int64(len(responseTimes))
fmt.Printf("Wrote %d points at average rate of %.0f\n", totalPoints, float64(totalPoints)/time.Since(startTime).Seconds())
fmt.Println("Average response time: ", time.Duration(mean))
fmt.Println("Slowest response times:")
for _, r := range responseTimes[:100] {
fmt.Println(time.Duration(r))
}
}
// ConcurrencyLimiter is a go routine safe struct that can be used to
// ensure that no more than a specifid max number of goroutines are
// executing.
type ConcurrencyLimiter struct {
inc chan chan struct{}
dec chan struct{}
max int
count int
}
// NewConcurrencyLimiter returns a configured limiter that will
// ensure that calls to Increment will block if the max is hit.
func NewConcurrencyLimiter(max int) *ConcurrencyLimiter {
c := &ConcurrencyLimiter{
inc: make(chan chan struct{}),
dec: make(chan struct{}, max),
max: max,
}
go c.handleLimits()
return c
}
// Increment will increase the count of running goroutines by 1.
// if the number is currently at the max, the call to Increment
// will block until another goroutine decrements.
func (c *ConcurrencyLimiter) Increment() {
r := make(chan struct{})
c.inc <- r
<-r
}
// Decrement will reduce the count of running goroutines by 1
func (c *ConcurrencyLimiter) Decrement() {
c.dec <- struct{}{}
}
// handleLimits runs in a goroutine to manage the count of
// running goroutines.
func (c *ConcurrencyLimiter) handleLimits() {
for {
r := <-c.inc
if c.count >= c.max {
<-c.dec
c.count--
}
c.count++
r <- struct{}{}
}
}