open-falcon-agent源码学习

最近学习falcon，看了源码和极客学院的视频解析，画了调用结构、关系，对主要的代码进行了注释

代码地址：https://github.com/beyondskyw…

标签（空格分隔）： falcon go

监控数据

机器性能指标：cpu，mem，网卡，磁盘……
业务监控
开源软件状态：Nginx，Redis，MySQL
snmp采集网络设备指标

设计原理

自发现采集值
不同类型数据采集分不同goroutine
进程和端口通过用户配置进行监控

配置文件

hostname和ip默认留空，agent自动探测
hbs和transfer都是配置其rpc地址
collector网卡采集前缀
ignore为true时取消上报

组织结构

cron：间隔执行的代码，即定时任务
funcs：信息采集
g:全局数据结构
http：简单的dashboard的server，获取单机监控指标数据
plugins：插件处理机制
public：静态资源文件

心跳机制

了解agent、plugin版本信息，方便升级
获取监听的进程和端口
获取本机执行的插件列表

与HBS、Transfer交互

调用关系

代码解读

main入口

go cron.InitDataHistory()
// 上报本机状态
cron.ReportAgentStatus()
// 同步插件
cron.SyncMinePlugins()
// 同步监控端口、路径、进程和URL
cron.SyncBuiltinMetrics()
// 后门调试agent,允许执行shell指令的ip列表
cron.SyncTrustableIps()
// 开始数据次采集
cron.Collect()
// 启动dashboard server
go http.Start()

ReportAgentStatus：汇报agent本身状态

// 判断hbs配置是否正常，正常则上报agent状态
if g.Config().Heartbeat.Enabled && g.Config().Heartbeat.Addr != "" {
    // 根据配置的interval间隔上报信息
    go reportAgentStatus(time.Duration(g.Config().Heartbeat.Interval) * time.Second)
}
func reportAgentStatus(interval time.Duration) {
    for {
        // 获取hostname, 出错则错误赋值给hostname
        hostname, err := g.Hostname()
        if err != nil {
            hostname = fmt.Sprintf("error:%s", err.Error())
        }
        // 请求发送信息
        req := model.AgentReportRequest{
            Hostname:      hostname,
            IP:            g.IP(),
            AgentVersion:  g.VERSION,
            // 通过shell指令获取plugin版本，能否go实现
            PluginVersion: g.GetCurrPluginVersion(),
        }
        var resp model.SimpleRpcResponse
        // 调用rpc接口
        err = g.HbsClient.Call("Agent.ReportStatus", req, &resp)
        if err != nil || resp.Code != 0 {
            log.Println("call Agent.ReportStatus fail:", err, "Request:", req, "Response:", resp)
        }
        time.Sleep(interval)
    }
}

SyncMinePlugins：同步插件

func syncMinePlugins() {
    var (
        timestamp  int64 = -1
        pluginDirs []string
    )
    duration := time.Duration(g.Config().Heartbeat.Interval) * time.Second
    for {
        time.Sleep(duration)
        hostname, err := g.Hostname()
        if err != nil {
            continue
        }
        req := model.AgentHeartbeatRequest{
            Hostname: hostname,
        }
        var resp model.AgentPluginsResponse
        // 调用rpc接口,返回plugin
        err = g.HbsClient.Call("Agent.MinePlugins", req, &resp)
        if err != nil {
            log.Println("ERROR:", err)
            continue
        }
        // 保证时间顺序正确
        if resp.Timestamp <= timestamp {
            continue
        }
        pluginDirs = resp.Plugins
        // 存放时间保证最新
        timestamp = resp.Timestamp
        if g.Config().Debug {
            log.Println(&resp)
        }
        // 无插件则清空plugin
        if len(pluginDirs) == 0 {
            plugins.ClearAllPlugins()
        }
        desiredAll := make(map[string]*plugins.Plugin)
        // 读取所有plugin
        for _, p := range pluginDirs {
            underOneDir := plugins.ListPlugins(strings.Trim(p, "/"))
            for k, v := range underOneDir {
                desiredAll[k] = v
            }
        }
        // 停止不需要的插件,启动增加的插件
        plugins.DelNoUsePlugins(desiredAll)
        plugins.AddNewPlugins(desiredAll)
    }
}

SyncBuiltinMetrics：同步内置metric,包括端口、目录和进程信息

func syncBuiltinMetrics() {
    var timestamp int64 = -1
    var checksum string = "nil"
    duration := time.Duration(g.Config().Heartbeat.Interval) * time.Second
    for {
        time.Sleep(duration)
        // 监控端口、目录大小、进程
        var ports = []int64{}
        var paths = []string{}
        var procs = make(map[string]map[int]string)
        var urls = make(map[string]string)
        hostname, err := g.Hostname()
        if err != nil {
            continue
        }
        req := model.AgentHeartbeatRequest{
            Hostname: hostname,
            Checksum: checksum,
        }
        var resp model.BuiltinMetricResponse
        err = g.HbsClient.Call("Agent.BuiltinMetrics", req, &resp)
        if err != nil {
            log.Println("ERROR:", err)
            continue
        }
        if resp.Timestamp <= timestamp {
            continue
        }
        if resp.Checksum == checksum {
            continue
        }
        timestamp = resp.Timestamp
        checksum = resp.Checksum
        for _, metric := range resp.Metrics {
            if metric.Metric == g.URL_CHECK_HEALTH {
                arr := strings.Split(metric.Tags, ",")
                if len(arr) != 2 {
                    continue
                }
                url := strings.Split(arr[0], "=")
                if len(url) != 2 {
                    continue
                }
                stime := strings.Split(arr[1], "=")
                if len(stime) != 2 {
                    continue
                }
                if _, err := strconv.ParseInt(stime[1], 10, 64); err == nil {
                    urls[url[1]] = stime[1]
                } else {
                    log.Println("metric ParseInt timeout failed:", err)
                }
            }
            // {metric: net.port.listen, tags: port=22}
            if metric.Metric == g.NET_PORT_LISTEN {
                arr := strings.Split(metric.Tags, "=")
                if len(arr) != 2 {
                    continue
                }
                if port, err := strconv.ParseInt(arr[1], 10, 64); err == nil {
                    ports = append(ports, port)
                } else {
                    log.Println("metrics ParseInt failed:", err)
                }
                continue
            }
            // metric: du.bs tags: path=/home/works/logs
            // du -bs /home/works/logs
            if metric.Metric == g.DU_BS {
                arr := strings.Split(metric.Tags, "=")
                if len(arr) != 2 {
                    continue
                }
                paths = append(paths, strings.TrimSpace(arr[1]))
                continue
            }
            //mereic: proc.num tags: name=crond
            //或者metric: proc.num tags: cmdline=cfg.json
            if metric.Metric == g.PROC_NUM {
                arr := strings.Split(metric.Tags, ",")
                tmpMap := make(map[int]string)
                for i := 0; i < len(arr); i++ {
                    if strings.HasPrefix(arr[i], "name=") {
                        tmpMap[1] = strings.TrimSpace(arr[i][5:])
                    } else if strings.HasPrefix(arr[i], "cmdline=") {
                        tmpMap[2] = strings.TrimSpace(arr[i][8:])
                    }
                }
                procs[metric.Tags] = tmpMap
            }
        }
        g.SetReportUrls(urls)
        g.SetReportPorts(ports)
        g.SetReportProcs(procs)
        g.SetDuPaths(paths)
    }
}

SyncTrustableIps：同步可信IP列表
请求获取远程访问执行shell命令的IP白名单，在通过http/run.go调用shell命令是会判断请求IP是否可信

func syncTrustableIps() {
    duration := time.Duration(g.Config().Heartbeat.Interval) * time.Second
    for {
        time.Sleep(duration)
        var ips string
        err := g.HbsClient.Call("Agent.TrustableIps", model.NullRpcRequest{}, &ips)
        if err != nil {
            log.Println("ERROR: call Agent.TrustableIps fail", err)
            continue
        }
        // 设置到本地可信IP列表
        g.SetTrustableIps(ips)
    }
}

FuncsAndInterval：拆分不同的采集函数集，方便通过不同goroutine运行

// 间隔internal时间执行fs中的函数
type FuncsAndInterval struct {
    Fs       []func() []*model.MetricValue
    Interval int
}
var Mappers []FuncsAndInterval
// 根据调用指令类型和是否容易被挂起而分类(通过不同的goroutine去执行,避免相互之间的影响)
func BuildMappers() {
    interval := g.Config().Transfer.Interval
    Mappers = []FuncsAndInterval{
        FuncsAndInterval{
            Fs: []func() []*model.MetricValue{
                AgentMetrics,
                CpuMetrics,
                NetMetrics,
                KernelMetrics,
                LoadAvgMetrics,
                MemMetrics,
                DiskIOMetrics,
                IOStatsMetrics,
                NetstatMetrics,
                ProcMetrics,
                UdpMetrics,
            },
            Interval: interval,
        },
        // 容易出问题
        FuncsAndInterval{
            Fs: []func() []*model.MetricValue{
                DeviceMetrics,
            },
            Interval: interval,
        },
        // 调用相同指令
        FuncsAndInterval{
            Fs: []func() []*model.MetricValue{
                PortMetrics,
                SocketStatSummaryMetrics,
            },
            Interval: interval,
        },
        FuncsAndInterval{
            Fs: []func() []*model.MetricValue{
                DuMetrics,
            },
            Interval: interval,
        },
        FuncsAndInterval{
            Fs: []func() []*model.MetricValue{
                UrlMetrics,
            },
            Interval: interval,
        },
    }
}

Colleet：配置信息读取，读取Mapper中的FuncsAndInterval，根据func调用采集函数，采集所有信息（并非先过滤采集项），从所有采集到的数据中过滤ignore的项，并上报到transfer。

func Collect() {
    // 配置信息判断
    if !g.Config().Transfer.Enabled {
        return
    }
    if len(g.Config().Transfer.Addrs) == 0 {
        return
    }
    // 读取mapper中的FuncsAndInterval集,并通过不同的goroutine运行
    for _, v := range funcs.Mappers {
        go collect(int64(v.Interval), v.Fs)
    }
}
// 间隔采集信息
func collect(sec int64, fns []func() []*model.MetricValue) {
    // 启动断续器,间隔执行
    t := time.NewTicker(time.Second * time.Duration(sec)).C
    for {
        <-t
        hostname, err := g.Hostname()
        if err != nil {
            continue
        }
        mvs := []*model.MetricValue{}
        // 读取忽略metric名单
        ignoreMetrics := g.Config().IgnoreMetrics
        // 从funcs的list中取出每个采集函数
        for _, fn := range fns {
            // 执行采集函数
            items := fn()
            if items == nil {
                continue
            }
            if len(items) == 0 {
                continue
            }
            // 读取采集数据,根据忽略的metric忽略部分采集数据
            for _, mv := range items {
                if b, ok := ignoreMetrics[mv.Metric]; ok && b {
                    continue
                } else {
                    mvs = append(mvs, mv)
                }
            }
        }
        // 获取上报时间
        now := time.Now().Unix()
        // 设置上报采集项的间隔、agent主机、上报时间
        for j := 0; j < len(mvs); j++ {
            mvs[j].Step = sec
            mvs[j].Endpoint = hostname
            mvs[j].Timestamp = now
        }
        // 调用transfer发送采集数据
        g.SendToTransfer(mvs)
    }
}

采集信息结构

type MetricValue struct {
    Endpoint  string      // 主机名
    Metric    string      // 信息标识cpu.idle、mem.memtotal等
    Value     interface{} // 采集结果
    Step      int64       // 该项上报间隔
    Type      string      // GAUGE或COUNTER
    Tags      string      // 配置报警策略
    Timestamp int64       // 此次上报时间
}

采集信息组成metricValue结构

func NewMetricValue(metric string, val interface{}, dataType string, tags ...string) *model.MetricValue {
    mv := model.MetricValue{
        Metric: metric,
        Value:  val,
        Type:   dataType,
    }
    size := len(tags)
    if size > 0 {
        mv.Tags = strings.Join(tags, ",")
    }
    return &mv
}
// 原值类型
func GaugeValue(metric string, val interface{}, tags ...string) *model.MetricValue {
    return NewMetricValue(metric, val, "GAUGE", tags...)
}
// 计数器类型
func CounterValue(metric string, val interface{}, tags ...string) *model.MetricValue {
    return NewMetricValue(metric, val, "COUNTER", tags...)
}

rpc组件

// 简单封装rpc.Cilent
type SingleConnRpcClient struct {
    sync.Mutex
    rpcClient *rpc.Client
    RpcServer string
    Timeout   time.Duration
}
// 关闭rpc
func (this *SingleConnRpcClient) close() {
    if this.rpcClient != nil {
        this.rpcClient.Close()
        this.rpcClient = nil
    }
}
// 保证rpc存在,为空则重新创建, 如果server宕机, 死循环????
func (this *SingleConnRpcClient) insureConn() {
    if this.rpcClient != nil {
        return
    }
    var err error
    var retry int = 1
    for {
        if this.rpcClient != nil {
            return
        }
        // 根据timeout和server地址去连接rpc的server
        this.rpcClient, err = net.JsonRpcClient("tcp", this.RpcServer, this.Timeout)
        if err == nil {
            return
        }
        log.Printf("dial %s fail: %v", this.RpcServer, err)
        if retry > 6 {
            retry = 1
        }
        time.Sleep(time.Duration(math.Pow(2.0, float64(retry))) * time.Second)
        retry++
    }
}
// rpc client调用hbs函数
func (this *SingleConnRpcClient) Call(method string, args interface{}, reply interface{}) error {
    // 加锁保证一个agent只与server有一个连接,保证性能
    this.Lock()
    defer this.Unlock()
    // 保证rpc连接可用
    this.insureConn()
    timeout := time.Duration(50 * time.Second)
    done := make(chan error)
    go func() {
        err := this.rpcClient.Call(method, args, reply)
        done <- err
    }()
    // 超时控制
    select {
    case <-time.After(timeout):
        log.Printf("[WARN] rpc call timeout %v => %v", this.rpcClient, this.RpcServer)
        this.close()
    case err := <-done:
        if err != nil {
            this.close()
            return err
        }
    }
    return nil
}

Transfer部件

// 定义transfer的rpcClient对应Map, transferClients读写锁
var (
    TransferClientsLock *sync.RWMutex                   = new(sync.RWMutex)
    TransferClients     map[string]*SingleConnRpcClient = map[string]*SingleConnRpcClient{}
)
// 发送数据到随机的transfer
func SendMetrics(metrics []*model.MetricValue, resp *model.TransferResponse) {
    rand.Seed(time.Now().UnixNano())
    // 随机transferClient发送数据,直到发送成功
    for _, i := range rand.Perm(len(Config().Transfer.Addrs)) {
        addr := Config().Transfer.Addrs[i]
        if _, ok := TransferClients[addr]; !ok {
            initTransferClient(addr)
        }
        if updateMetrics(addr, metrics, resp) {
            break
        }
    }
}
// 初始化addr对应的transferClient
func initTransferClient(addr string) {
    TransferClientsLock.Lock()
    defer TransferClientsLock.Unlock()
    TransferClients[addr] = &SingleConnRpcClient{
        RpcServer: addr,
        Timeout:   time.Duration(Config().Transfer.Timeout) * time.Millisecond,
    }
}
// 调用rpc接口发送metric
func updateMetrics(addr string, metrics []*model.MetricValue, resp *model.TransferResponse) bool {
    TransferClientsLock.RLock()
    defer TransferClientsLock.RUnlock()
    err := TransferClients[addr].Call("Transfer.Update", metrics, resp)
    if err != nil {
        log.Println("call Transfer.Update fail", addr, err)
        return false
    }
    return true
}

采集插件同步

// 插件信息: 路径、修改时间、运行周期(来自plugin插件)
type Plugin struct {
    FilePath string
    MTime    int64
    Cycle    int
}
// 插件map和调度器map
var (
    Plugins              = make(map[string]*Plugin)
    PluginsWithScheduler = make(map[string]*PluginScheduler)
)
// 删除不需要的plugin
func DelNoUsePlugins(newPlugins map[string]*Plugin) {
    for currKey, currPlugin := range Plugins {
        newPlugin, ok := newPlugins[currKey]
        if !ok || currPlugin.MTime != newPlugin.MTime {
            deletePlugin(currKey)
        }
    }
}
// 添加同步时增加的plugin
func AddNewPlugins(newPlugins map[string]*Plugin) {
    for fpath, newPlugin := range newPlugins {
        // 去除重复插件
        if _, ok := Plugins[fpath]; ok && newPlugin.MTime == Plugins[fpath].MTime {
            continue
        }
        // 为新添加的插件新建调度器
        Plugins[fpath] = newPlugin
        sch := NewPluginScheduler(newPlugin)
        PluginsWithScheduler[fpath] = sch
        // 启动plugin调度
        sch.Schedule()
    }
}
func ClearAllPlugins() {
    for k := range Plugins {
        deletePlugin(k)
    }
}
func deletePlugin(key string) {
    v, ok := PluginsWithScheduler[key]
    if ok {
        // 暂停调度plugin
        v.Stop()
        delete(PluginsWithScheduler, key)
    }
    delete(Plugins, key)
}

插件调度策略

// 持续间隔执行plugin
type PluginScheduler struct {
    Ticker *time.Ticker
    Plugin *Plugin
    Quit   chan struct{}
}
// 根据plugin创建新的schedule
func NewPluginScheduler(p *Plugin) *PluginScheduler {
    scheduler := PluginScheduler{Plugin: p}
    scheduler.Ticker = time.NewTicker(time.Duration(p.Cycle) * time.Second)
    scheduler.Quit = make(chan struct{})
    return &scheduler
}
// plugin调度,间隔执行PluginRun,除非收到quit消息
func (this *PluginScheduler) Schedule() {
    go func() {
        for {
            select {
            case <-this.Ticker.C:
                PluginRun(this.Plugin)
            case <-this.Quit:
                this.Ticker.Stop()
                return
            }
        }
    }()
}
// 停止plugin调度
func (this *PluginScheduler) Stop() {
    close(this.Quit)
}
// 执行插件,读取插件运行返回数据并上报transfer
func PluginRun(plugin *Plugin) {
    timeout := plugin.Cycle*1000 - 500
    fpath := filepath.Join(g.Config().Plugin.Dir, plugin.FilePath)
    if !file.IsExist(fpath) {
        log.Println("no such plugin:", fpath)
        return
    }
    debug := g.Config().Debug
    if debug {
        log.Println(fpath, "running...")
    }
    cmd := exec.Command(fpath)
    var stdout bytes.Buffer
    cmd.Stdout = &stdout
    var stderr bytes.Buffer
    cmd.Stderr = &stderr
    cmd.Start()
    err, isTimeout := sys.CmdRunWithTimeout(cmd, time.Duration(timeout)*time.Millisecond)
    errStr := stderr.String()
    if errStr != "" {
        logFile := filepath.Join(g.Config().Plugin.LogDir, plugin.FilePath+".stderr.log")
        if _, err = file.WriteString(logFile, errStr); err != nil {
            log.Printf("[ERROR] write log to %s fail, error: %s\n", logFile, err)
        }
    }
    if isTimeout {
        // has be killed
        if err == nil && debug {
            log.Println("[INFO] timeout and kill process", fpath, "successfully")
        }
        if err != nil {
            log.Println("[ERROR] kill process", fpath, "occur error:", err)
        }
        return
    }
    if err != nil {
        log.Println("[ERROR] exec plugin", fpath, "fail. error:", err)
        return
    }
    // exec successfully
    data := stdout.Bytes()
    if len(data) == 0 {
        if debug {
            log.Println("[DEBUG] stdout of", fpath, "is blank")
        }
        return
    }
    var metrics []*model.MetricValue
    err = json.Unmarshal(data, &metrics)
    if err != nil {
        log.Printf("[ERROR] json.Unmarshal stdout of %s fail. error:%s stdout: \n%s\n", fpath, err, stdout.String())
        return
    }
    g.SendToTransfer(metrics)
}

文章目录

监控数据

设计原理

配置文件

组织结构

心跳机制

与HBS、Transfer交互

调用关系

代码解读