go + influxdb + grafana 日志监控系统

2次阅读

共计 6140 个字符,预计需要花费 16 分钟才能阅读完成。

docker 运行 influxdb grafana
docker 启动 influxdb
# 启动 docker
$ sudo docker run -d -p 8083:8083 -p8086:8086 –expose 8090 –expose 8099 –name indb -v /data/dockerdata/influxdb:/var/lib/influxdb docker.io/influxdb
# 创建数据库和用户
$ sudo docker exec -it indb /bin/bash
> create User nginx with password ‘123456’
> GRANT ALL PRIVILEGES ON monitor TO nginx
> CREATE RETENTION POLICY “monitor_retention” ON “monitor” DURATION 30d REPLICATION 1 DEFAULT
docker 启动 grafana
# grafana 5.10 后创建数据卷需要传入权限, 使用 nginx 反代需要设置 server root
# 使用 link 连接其他容器,访问该容器内容直接使用 容器名称
sudo docker run -d \
-p 3000:3000 \
-e INFLUXDB_HOST=localhost \
-e INFLUXDB_PORT=8086 \
-e INFLUXDB_NAME=monitor \
-e INFLUXDB_USER=nginx \
-e INFLUXDB_PASS=123456 \
-e “GF_SECURITY_ADMIN_PASSWORD=123456” \
-e “GF_SERVER_ROOT_URL=https://www.amoyiki.com/monitor/” \
-v /data/dockerdata/grafana:/var/lib/grafana \
–link indb:indb \
–user root \
–name grafana \
grafana/grafana
配置 grafana 数据源

PS Access 使用 Server 即可
go 项目
编写 go 代码
本代码完全照搬慕课网视频教程
package main

import (
“bufio”
“encoding/json”
“flag”
“fmt”
“github.com/influxdata/influxdb/client/v2”
“io”
“log”
“net/http”
“net/url”
“os”
“regexp”
“strconv”
“strings”
“time”
)

type Reader interface {
Read(rc chan []byte)
}

type Writer interface {
Write(wc chan *Message)
}

type LogProcess struct {
rc chan []byte // 读取 -> 解析
wc chan *Message // 解析 -> 写入
reader Reader
writer Writer
}

type Message struct {
TimeLocal time.Time
ByteSent int
Path, Method, Scheme, Status string
RequestTime float64
}

type SystemInfo struct {
HandleLine int `json: “handleLine”` // 总日志行数
Tps float64 `json: “tps”` // 系统吞吐量
ReadChanLen int `json: “readChanLen”` // read channel 长度
WriteChanLen int `json: “wirteChanLen”` // wirte channel 长度
RunTime string `json:”runTime”` // 总运行时间
ErrNum int `json:”errTime”` // 错误数
}

const (
TypeHandleLine = 0
TypeErrNum = 1
)

var TypeMonitorChan = make(chan int, 200)

type Monitor struct {
startTime time.Time
data SystemInfo
tpsSlic []int
}

func (m *Monitor) start(lp *LogProcess) {

go func() {
for n := range TypeMonitorChan {
switch n {
case TypeErrNum:
m.data.ErrNum += 1
case TypeHandleLine:
m.data.HandleLine += 1
}
}
}()

ticker := time.NewTicker(time.Second * 5)

go func() {
for {
<-ticker.C
m.tpsSlic = append(m.tpsSlic, m.data.HandleLine)
if len(m.tpsSlic) > 2 {
m.tpsSlic = m.tpsSlic[1:]
}
}
}()

http.HandleFunc(“/monitor”, func(writer http.ResponseWriter, request *http.Request) {
m.data.RunTime = time.Now().Sub(m.startTime).String()
m.data.ReadChanLen = len(lp.rc)
m.data.WriteChanLen = len(lp.wc)
if len(m.tpsSlic) >= 2 {

m.data.Tps = float64(m.tpsSlic[1]-m.tpsSlic[0]) / 5
}
ret, _ := json.MarshalIndent(m.data, “”, “\t”)
io.WriteString(writer, string(ret))
})
http.ListenAndServe(“:9999”, nil)
}

type ReadFromFile struct {
path string // 读取文件的地址
}

func (r *ReadFromFile) Read(rc chan []byte) {
// 打开文件
f, err := os.Open(r.path)
if err != nil {
panic(fmt.Sprintln(“open file error: %s”, err.Error()))
}
// 从文件末尾逐行读取文件内容
f.Seek(0, 2)
rd := bufio.NewReader(f)
for {
line, err := rd.ReadBytes(‘\n’)
if err == io.EOF {
time.Sleep(500 * time.Millisecond)
continue
} else if err != nil {
panic(fmt.Sprintln(“read file error: %s”, err.Error()))
}
TypeMonitorChan <- TypeHandleLine
rc <- line[:len(line)-1]
}

}

type WriteToInfluxDB struct {
influxDBsn string
}

func (w *WriteToInfluxDB) Write(wc chan *Message) {
// 写入模块
infSli := strings.Split(w.influxDBsn, “&”)
// Create a new HTTPClient
c, err := client.NewHTTPClient(client.HTTPConfig{
Addr: infSli[0],
Username: infSli[1],
Password: infSli[2],
})
if err != nil {
log.Fatal(err)
}
defer c.Close()

// Create a new point batch
bp, err := client.NewBatchPoints(client.BatchPointsConfig{
Database: infSli[3],
Precision: infSli[4],
})
if err != nil {
log.Fatal(err)
}

for v := range wc {
// Create a point and add to batch
tags := map[string]string{“Path”: v.Path, “Method”: v.Method, “Scheme”: v.Scheme,
“Status”: v.Status}
fields := map[string]interface{}{
“RequestTime”: v.RequestTime,
“BytesSent”: v.ByteSent,
}

pt, err := client.NewPoint(“nginx_log”, tags, fields, v.TimeLocal)
if err != nil {
log.Fatal(err)
}
bp.AddPoint(pt)

// Write the batch
if err := c.Write(bp); err != nil {
log.Fatal(err)
}

// Close client resources
if err := c.Close(); err != nil {
log.Fatal(err)
}
log.Println(“write influxdb success …”)
}
}
func (l *LogProcess) Process() {
// 解析模块
/**
139.199.10.130 – – [12/Dec/2018:16:02:34 +0800] “POST /wp-cron.php HTTP/1.1” 200 0 “https://xxx.exmple.com/wp-cron.php?doing_wp_cron=1544601753.9868400096893310546875” “WordPress/4.9.8; https://xxx.exmple.com” “-” “0.058”
([\d\.]+)\s+([^ \[]+)\s+([^ \[]+)\s+\[([^\]]+)\]\s+\”([^”]+)\”\s+(\d{3})\s+(\d+)\s+\”([^”]+)\”\s+\”(.*?)\”\s+\”([^”]+)\”\s+\”([^”]+)\”
*/
r := regexp.MustCompile(`([\d\.]+)\s+([^ \[]+)\s+([^ \[]+)\s+\[([^\]]+)\]\s+\”([^”]+)\”\s+(\d{3})\s+(\d+)\s+\”([^”]+)\”\s+\”(.*?)\”\s+\”([^”]+)\”\s+\”([^”]+)\”`)
loc, _ := time.LoadLocation(“Asia/Shanghai”)

for v := range l.rc {
ret := r.FindStringSubmatch(string(v))
if len(ret) != 14 {
TypeMonitorChan <- TypeErrNum
log.Println(“FindStringSubmatch fail: “, string(v))
continue
}
message := &Message{
}
t, err := time.ParseInLocation(“02/Jan/2006:15:04:05 +0000”, ret[4], loc)
if err != nil {
TypeMonitorChan <- TypeErrNum
log.Println(“ParseInLocation failed: “, err.Error(), ret[4])
continue
}
message.TimeLocal = t
byteSent, _ := strconv.Atoi(ret[8])
message.ByteSent = byteSent
reqSli := strings.Split(ret[6], ” “)
if len(reqSli) != 3 {
TypeMonitorChan <- TypeErrNum
log.Println(“strings.Split fail”, ret[6])
continue
}
message.Method = reqSli[0]
u, err := url.Parse(reqSli[1])
if err != nil {
TypeMonitorChan <- TypeErrNum
log.Println(“url parse fail: “, err)
continue
}
message.Path = u.Path
message.Scheme = ret[5]
message.Status = ret[7]

requestTime, _ := strconv.ParseFloat(ret[12], 64)
message.RequestTime = requestTime

l.wc <- message
}

}

func main() {
var path, influxDsn string
// 利用命令行参数 传入配置
flag.StringVar(&path, “path”, “./access.log”, “read file path”)
flag.StringVar(&influxDsn, “influxDsn”, “http://localhost:8086&root&123456&imooc&s”,
“influx data source”)
flag.Parse()

r := &ReadFromFile{
path: path,
}
w := &WriteToInfluxDB{
influxDBsn: influxDsn,
}
lp := &LogProcess{
rc: make(chan []byte),
wc: make(chan *Message),
reader: r,
writer: w,
}
go lp.reader.Read(lp.rc)
go lp.Process()
go lp.writer.Write(lp.wc)

m := &Monitor{
startTime: time.Now(),
data: SystemInfo{},
}
m.start(lp)

}

编写启动脚本
(稍后用 docker 部署时使用)
./log_process –path “/var/log/nginx/access.log” –influxDsn “http://indb:8086&root&root&monitor&s”
编译 go 项目
go build log_process.go
编写 Dockerfile
FROM golang:latest
MAINTAINER amoyiki “amoyiki@gmail.com”
WORKDIR $GOPATH/src/amoyiki.com/nginxlog
ADD . $GOPATH/src/amoyiki.com/nginxlog
EXPOSE 9999
ENTRYPOINT [“sh”, “./start_process.sh”]
编译并启动镜像
$ sudo docker build -t log_process .
# 指定数据卷方便容器读取 nginx 日志,指定关联 influxdb 容器,确保 go 项目能连接到 influxdb 容器
$ sudo docker run –name log1 -d -v /var/log/nginx:/var/log/nginx –link indb:indb log_process
# 查看当前所有容器
$ sudo docker ps -a
最终结果

更多文章请访问我的 Blog 四畳半神话大系

正文完
 0