- 1. Docker Daemon架构示意图
- 2. Docker Daemon启动流程图
- 3. mainDaemon的具体实现
- 3.1. 配置初始化
- 3.2. flag参数检查
- 3.3. 创建engine对象
- 3.4. 设置engine的信号捕获
- 3.5. 加载builtins
- 3.5.1. 注册初始化网络驱动的Handler
- 3.5.2. 注册API服务的Handler
- 3.5.3. 注册events事件的Handler
- 3.5.4. 注册版本的Handler
- 3.5.5. 注册registry的Handler
- 3.6. 使用goroutine加载daemon对象
- 3.6.1. 创建daemon对象
- 3.6.2. 通过daemon对象为engine注册Handler
- 3.6.3. 运行acceptconnections的job
- 3.7. 打印Docker版本及驱动信息
- 3.8. serveapi的创建与运行
1. Docker Daemon架构示意图

Docker Daemon是Docker架构中运行在后台的守护进程,大致可以分为Docker Server、Engine和Job三部分。
Docker Daemon可以认为是通过Docker Server模块接受Docker Client的请求,并在Engine中处理请求,然后根据请求类型,创建出指定的Job并运行。
运行过程的作用有以下几种可能:
- 向Docker Registry获取镜像,
- 通过graphdriver执行容器镜像的本地化操作,
- 通过networkdriver执行容器网络环境的配置,
- 通过execdriver执行容器内部运行的执行工作等。
说明:本文分析的代码为Docker 1.2.0版本。
2. Docker Daemon启动流程图

启动Docker Daemon时,一般可以使用以下命令:docker —daemon=true; docker –d; docker –d=true等。接着由docker的main()函数来解析以上命令的相应flag参数,并最终完成Docker Daemon的启动。
/docker/docker.go
func main() {...if *flDaemon {mainDaemon()return}...}
3. mainDaemon的具体实现
宏观来讲,mainDaemon()完成创建一个daemon进程,并使其正常运行。
从功能的角度来说,mainDaemon()实现了两部分内容:
- 第一,创建Docker运行环境;
- 第二,服务于Docker Client,接收并处理相应请求。
3.1. 配置初始化
/docker/daemon.go
var (daemonCfg = &daemon.Config{})func init() {daemonCfg.InstallFlags()}
在mainDaemon()运行之前,关于Docker Daemon所需要的config配置信息均已经初始化完毕。
声明一个为daemon包中Config类型的变量,名为daemonCfg。而Config对象,定义了Docker Daemon所需的配置信息。在Docker Daemon在启动时,daemonCfg变量被传递至Docker Daemon并被使用。
/daemon/config.go
type Config struct {Pidfile string //Docker Daemon所属进程的PID文件Root string //Docker运行时所使用的root路径AutoRestart bool //已被启用,转而支持docker run时的重启Dns []string //Docker使用的DNS Server地址DnsSearch []string //Docker使用的指定的DNS查找域名Mirrors []string //指定的优先Docker Registry镜像EnableIptables bool //启用Docker的iptables功能EnableIpForward bool //启用net.ipv4.ip_forward功能EnableIpMasq bool //启用IP伪装技术DefaultIp net.IP //绑定容器端口时使用的默认IPBridgeIface string //添加容器网络至已有的网桥BridgeIP string //创建网桥的IP地址FixedCIDR string //指定IP的IPv4子网,必须被网桥子网包含InterContainerCommunication bool //是否允许相同host上容器间的通信GraphDriver string //Docker运行时使用的特定存储驱动GraphOptions []string //可设置的存储驱动选项ExecDriver string // Docker运行时使用的特定exec驱动Mtu int //设置容器网络的MTUDisableNetwork bool //有定义,之后未初始化EnableSelinuxSupport bool //启用SELinux功能的支持Context map[string][]string //有定义,之后未初始化}
init()函数实现了daemonCfg变量中各属性的赋值,具体的实现为:daemonCfg.InstallFlags()
/daemon/config.go
// InstallFlags adds command-line options to the top-level flag parser for// the current process.// Subsequent calls to `flag.Parse` will populate config with values parsed// from the command-line.func (config *Config) InstallFlags() {flag.StringVar(&config.Pidfile, []string{"p", "-pidfile"}, "/var/run/docker.pid", "Path to use for daemon PID file")flag.StringVar(&config.Root, []string{"g", "-graph"}, "/var/lib/docker", "Path to use as the root of the Docker runtime")flag.BoolVar(&config.AutoRestart, []string{"#r", "#-restart"}, true, "--restart on the daemon has been deprecated infavor of --restart policies on docker run")flag.BoolVar(&config.EnableIptables, []string{"#iptables", "-iptables"}, true, "Enable Docker's addition of iptables rules")flag.BoolVar(&config.EnableIpForward, []string{"#ip-forward", "-ip-forward"}, true, "Enable net.ipv4.ip_forward")flag.StringVar(&config.BridgeIP, []string{"#bip", "-bip"}, "", "Use this CIDR notation address for the network bridge's IP, not compatible with -b")flag.StringVar(&config.BridgeIface, []string{"b", "-bridge"}, "", "Attach containers to a pre-existing network bridge/nuse 'none' to disable container networking")flag.BoolVar(&config.InterContainerCommunication, []string{"#icc", "-icc"}, true, "Enable inter-container communication")flag.StringVar(&config.GraphDriver, []string{"s", "-storage-driver"}, "", "Force the Docker runtime to use a specific storage driver")flag.StringVar(&config.ExecDriver, []string{"e", "-exec-driver"}, "native", "Force the Docker runtime to use a specific exec driver")flag.BoolVar(&config.EnableSelinuxSupport, []string{"-selinux-enabled"}, false, "Enable selinux support. SELinux does not presently support the BTRFS storage driver")flag.IntVar(&config.Mtu, []string{"#mtu", "-mtu"}, 0, "Set the containers network MTU/nif no value is provided: default to the default route MTU or 1500 if no default route is available")opts.IPVar(&config.DefaultIp, []string{"#ip", "-ip"}, "0.0.0.0", "Default IP address to use when binding container ports")opts.ListVar(&config.GraphOptions, []string{"-storage-opt"}, "Set storage driver options")// FIXME: why the inconsistency between "hosts" and "sockets"?opts.IPListVar(&config.Dns, []string{"#dns", "-dns"}, "Force Docker to use specific DNS servers")opts.DnsSearchListVar(&config.DnsSearch, []string{"-dns-search"}, "Force Docker to use specific DNS search domains")}
在InstallFlags()函数的实现过程中,主要是定义某种类型的flag参数,并将该参数的值绑定在config变量的指定属性上,如:
flag.StringVar(&config.Pidfile, []string{“p”, “-pidfile”}, “ /var/run/docker.pid”, “Path to use for daemon PID file”)
以上语句的含义为:
- 定义一个为String类型的flag参数;
- 该flag的名称为”p”或者”-pidfile”;
- 该flag的值为” /var/run/docker.pid”,并将该值绑定在变量config.Pidfile上;
- 该flag的描述信息为”Path to use for daemon PID file”。
3.2. flag参数检查
/docker/daemon.go
if flag.NArg() != 0 {flag.Usage()return}
- 参数个数不为0,则说明在启动Docker Daemon的时候,传入了多余的参数,此时会输出错误提示,并退出运行程序。
- 若为0,则说明Docker Daemon的启动命令无误,正常运行。
3.3. 创建engine对象
/docker/daemon.go
eng := engine.New()
Engine是Docker架构中的运行引擎,同时也是Docker运行的核心模块。Engine扮演着Docker container存储仓库的角色,并且通过job的形式来管理这些容器。
/engine/engine.go
type Engine struct {handlers map[string]Handlercatchall Handlerhack Hack // data for temporary hackery (see hack.go)id stringStdout io.WriterStderr io.WriterStdin io.ReaderLogging booltasks sync.WaitGroupl sync.RWMutex // lock for shutdownshutdown boolonShutdown []func() // shutdown handlers}
Engine结构体中最为重要的即为handlers属性。该handlers属性为map类型,key为string类型,value为Handler类型。Handler为一个定义的函数。该函数传入的参数为Job指针,返回为Status状态。
/engine/engine.go
type Handler func(*Job) Status
New()函数的实现:
/engine/engine.go
// New initializes a new engine.func New() *Engine {eng := &Engine{handlers: make(map[string]Handler),id: utils.RandomString(),Stdout: os.Stdout,Stderr: os.Stderr,Stdin: os.Stdin,Logging: true,}eng.Register("commands", func(job *Job) Status {for _, name := range eng.commands() {job.Printf("%s/n", name)}return StatusOK})// Copy existing global handlersfor k, v := range globalHandlers {eng.handlers[k] = v}return eng}
- 创建一个Engine结构体实例eng
- 向eng对象注册名为commands的Handler,其中Handler为临时定义的函数func(job *Job) Status{ } , 该函数的作用是通过job来打印所有已经注册完毕的command名称,最终返回状态StatusOK。
- 将已定义的变量globalHandlers中的所有的Handler,都复制到eng对象的handlers属性中。最后成功返回eng对象。
3.4. 设置engine的信号捕获
/daemon/daemon.go
signal.Trap(eng.Shutdown)
在Docker Daemon的运行中,设置Trap特定信号的处理方法,特定信号有SIGINT,SIGTERM以及SIGQUIT;当程序捕获到SIGINT或者SIGTERM信号时,执行相应的善后操作,最后保证Docker Daemon程序退出。
/pkg/signal/trap.go
//Trap sets up a simplified signal "trap", appropriate for common// behavior expected from a vanilla unix command-line tool in general// (and the Docker engine in particular).//// * If SIGINT or SIGTERM are received, `cleanup` is called, then the process is terminated.// * If SIGINT or SIGTERM are repeated 3 times before cleanup is complete, then cleanup is// skipped and the process terminated directly.// * If "DEBUG" is set in the environment, SIGQUIT causes an exit without cleanup.//func Trap(cleanup func()) {c := make(chan os.Signal, 1)signals := []os.Signal{os.Interrupt, syscall.SIGTERM}if os.Getenv("DEBUG") == "" {signals = append(signals, syscall.SIGQUIT)}gosignal.Notify(c, signals...)go func() {interruptCount := uint32(0)for sig := range c {go func(sig os.Signal) {log.Printf("Received signal '%v', starting shutdown of docker.../n", sig)switch sig {case os.Interrupt, syscall.SIGTERM:// If the user really wants to interrupt, let him do so.if atomic.LoadUint32(&interruptCount) < 3 {atomic.AddUint32(&interruptCount, 1)// Initiate the cleanup only onceif atomic.LoadUint32(&interruptCount) == 1 {// Call cleanup handlercleanup()os.Exit(0)} else {return}} else {log.Printf("Force shutdown of docker, interrupting cleanup/n")}case syscall.SIGQUIT:}os.Exit(128 + int(sig.(syscall.Signal)))}(sig)}}()}
- 创建并设置一个channel,用于发送信号通知;
- 定义signals数组变量,初始值为os.SIGINT, os.SIGTERM;若环境变量DEBUG为空的话,则添加os.SIGQUIT至signals数组;
- 通过gosignal.Notify(c, signals…)中Notify函数来实现将接收到的signal信号传递给c。需要注意的是只有signals中被罗列出的信号才会被传递给c,其余信号会被直接忽略;
- 创建一个goroutine来处理具体的signal信号,当信号类型为os.Interrupt或者syscall.SIGTERM时,执行传入Trap函数的具体执行方法,形参为cleanup(),实参为eng.Shutdown。
Shutdown()函数的定义位于./docker/engine/engine.go,主要做的工作是为Docker Daemon的关闭做一些善后工作。
/engine/engine.go
// Shutdown permanently shuts down eng as follows:// - It refuses all new jobs, permanently.// - It waits for all active jobs to complete (with no timeout)// - It calls all shutdown handlers concurrently (if any)// - It returns when all handlers complete, or after 15 seconds,// whichever happens first.func (eng *Engine) Shutdown() {eng.l.Lock()if eng.shutdown {eng.l.Unlock()return}eng.shutdown = trueeng.l.Unlock()// We don't need to protect the rest with a lock, to allow// for other calls to immediately fail with "shutdown" instead// of hanging for 15 seconds.// This requires all concurrent calls to check for shutdown, otherwise// it might cause a race.// Wait for all jobs to complete.// Timeout after 5 seconds.tasksDone := make(chan struct{})go func() {eng.tasks.Wait()close(tasksDone)}()select {case <-time.After(time.Second * 5):case <-tasksDone:}// Call shutdown handlers, if any.// Timeout after 10 seconds.var wg sync.WaitGroupfor _, h := range eng.onShutdown {wg.Add(1)go func(h func()) {defer wg.Done()h()}(h)}done := make(chan struct{})go func() {wg.Wait()close(done)}()select {case <-time.After(time.Second * 10):case <-done:}return}
- Docker Daemon不再接收任何新的Job;
- Docker Daemon等待所有存活的Job执行完毕;
- Docker Daemon调用所有shutdown的处理方法;
- 当所有的handler执行完毕,或者15秒之后,Shutdown()函数返回。
由于在signal.Trap( eng.Shutdown )函数的具体实现中执行eng.Shutdown,在执行完eng.Shutdown之后,随即执行os.Exit(0),完成当前程序的立即退出。
3.5. 加载builtins
/docker/daemon.go
if err := builtins.Register(eng); err != nil {log.Fatal(err)}
为engine注册多个Handler,以便后续在执行相应任务时,运行指定的Handler。
这些Handler包括:
- 网络初始化、
- web API服务、
- 事件查询、
- 版本查看、
- Docker Registry验证与搜索。
/builtins/builtins.go
func Register(eng *engine.Engine) error {if err := daemon(eng); err != nil {return err}if err := remote(eng); err != nil {return err}if err := events.New().Install(eng); err != nil {return err}if err := eng.Register("version", dockerVersion); err != nil {return err}return registry.NewService().Install(eng)}
3.5.1. 注册初始化网络驱动的Handler
daemon(eng)的实现过程,主要为eng对象注册了一个key为”init_networkdriver”的Handler,该Handler的值为bridge.InitDriver函数,代码如下:
/builtins/builtins.go
func daemon(eng *engine.Engine) error {return eng.Register("init_networkdriver", bridge.InitDriver)}
需要注意的是,向eng对象注册Handler,并不代表Handler的值函数会被直接运行,如bridge.InitDriver,并不会直接运行,而是将bridge.InitDriver的函数入口,写入eng的handlers属性中。
/daemon/networkdriver/bridge/driver.go
func InitDriver(job *engine.Job) engine.Status {var (network *net.IPNetenableIPTables = job.GetenvBool("EnableIptables")icc = job.GetenvBool("InterContainerCommunication")ipForward = job.GetenvBool("EnableIpForward")bridgeIP = job.Getenv("BridgeIP"))if defaultIP := job.Getenv("DefaultBindingIP"); defaultIP != "" {defaultBindingIP = net.ParseIP(defaultIP)}bridgeIface = job.Getenv("BridgeIface")usingDefaultBridge := falseif bridgeIface == "" {usingDefaultBridge = truebridgeIface = DefaultNetworkBridge}addr, err := networkdriver.GetIfaceAddr(bridgeIface)if err != nil {// If we're not using the default bridge, fail without trying to create itif !usingDefaultBridge {job.Logf("bridge not found: %s", bridgeIface)return job.Error(err)}// If the iface is not found, try to create itjob.Logf("creating new bridge for %s", bridgeIface)if err := createBridge(bridgeIP); err != nil {return job.Error(err)}job.Logf("getting iface addr")addr, err = networkdriver.GetIfaceAddr(bridgeIface)if err != nil {return job.Error(err)}network = addr.(*net.IPNet)} else {network = addr.(*net.IPNet)// validate that the bridge ip matches the ip specified by BridgeIPif bridgeIP != "" {bip, _, err := net.ParseCIDR(bridgeIP)if err != nil {return job.Error(err)}if !network.IP.Equal(bip) {return job.Errorf("bridge ip (%s) does not match existing bridge configuration %s", network.IP, bip)}}}// Configure iptables for link supportif enableIPTables {if err := setupIPTables(addr, icc); err != nil {return job.Error(err)}}if ipForward {// Enable IPv4 forwardingif err := ioutil.WriteFile("/proc/sys/net/ipv4/ip_forward", []byte{'1', '/n'}, 0644); err != nil {job.Logf("WARNING: unable to enable IPv4 forwarding: %s/n", err)}}// We can always try removing the iptablesif err := iptables.RemoveExistingChain("DOCKER"); err != nil {return job.Error(err)}if enableIPTables {chain, err := iptables.NewChain("DOCKER", bridgeIface)if err != nil {return job.Error(err)}portmapper.SetIptablesChain(chain)}bridgeNetwork = network// https://github.com/docker/docker/issues/2768job.Eng.Hack_SetGlobalVar("httpapi.bridgeIP", bridgeNetwork.IP)for name, f := range map[string]engine.Handler{"allocate_interface": Allocate,"release_interface": Release,"allocate_port": AllocatePort,"link": LinkContainers,} {if err := job.Eng.Register(name, f); err != nil {return job.Error(err)}}return engine.StatusOK}
Bridge.InitDriver的作用:
- 获取为Docker服务的网络设备的地址;
- 创建指定IP地址的网桥;
- 配置网络iptables规则;
- 另外还为eng对象注册了多个Handler,如 ”allocate_interface”, ”release_interface”, ”allocate_port”,”link”。
3.5.2. 注册API服务的Handler
remote(eng)的实现过程,主要为eng对象注册了两个Handler,分别为”serveapi”与”acceptconnections”。代码实现如下:
/builtins/builtins.go
func remote(eng *engine.Engine) error {if err := eng.Register("serveapi", apiserver.ServeApi); err != nil {return err}return eng.Register("acceptconnections", apiserver.AcceptConnections)}
注册的两个Handler名称分别为”serveapi”与”acceptconnections”
- ServeApi执行时,通过循环多种协议,创建出goroutine来配置指定的http.Server,最终为不同的协议请求服务;
- AcceptConnections的实现主要是为了通知init守护进程,Docker Daemon已经启动完毕,可以让Docker Daemon进程接受请求。(守护进程)
3.5.3. 注册events事件的Handler
events.New().Install(eng)的实现过程,为Docker注册了多个event事件,功能是给Docker用户提供API,使得用户可以通过这些API查看Docker内部的events信息,log信息以及subscribers_count信息。
/events/events.go
type Events struct {mu sync.RWMutexevents []*utils.JSONMessagesubscribers []listener}func New() *Events {return &Events{events: make([]*utils.JSONMessage, 0, eventsLimit),}}// Install installs events public api in docker enginefunc (e *Events) Install(eng *engine.Engine) error {// Here you should describe public interfacejobs := map[string]engine.Handler{"events": e.Get,"log": e.Log,"subscribers_count": e.SubscribersCount,}for name, job := range jobs {if err := eng.Register(name, job); err != nil {return err}}return nil}
3.5.4. 注册版本的Handler
eng.Register(“version”,dockerVersion)的实现过程,向eng对象注册key为”version”,value为”dockerVersion”执行方法的Handler,dockerVersion的执行过程中,会向名为version的job的标准输出中写入Docker的版本,Docker API的版本,git版本,Go语言运行时版本以及操作系统等版本信息。
/builtins/builtins.go
// builtins jobs independent of any subsystemfunc dockerVersion(job *engine.Job) engine.Status {v := &engine.Env{}v.SetJson("Version", dockerversion.VERSION)v.SetJson("ApiVersion", api.APIVERSION)v.Set("GitCommit", dockerversion.GITCOMMIT)v.Set("GoVersion", runtime.Version())v.Set("Os", runtime.GOOS)v.Set("Arch", runtime.GOARCH)if kernelVersion, err := kernel.GetKernelVersion(); err == nil {v.Set("KernelVersion", kernelVersion.String())}if _, err := v.WriteTo(job.Stdout); err != nil {return job.Error(err)}return engine.StatusOK}
3.5.5. 注册registry的Handler
registry.NewService().Install(eng)的实现过程位于./docker/registry/service.go,在eng对象对外暴露的API信息中添加docker registry的信息。当registry.NewService()成功被Install安装完毕的话,则有两个调用能够被eng使用:”auth”,向公有registry进行认证;”search”,在公有registry上搜索指定的镜像。
/registry/service.go
// NewService returns a new instance of Service ready to be// installed no an engine.func NewService() *Service {return &Service{}}// Install installs registry capabilities to eng.func (s *Service) Install(eng *engine.Engine) error {eng.Register("auth", s.Auth)eng.Register("search", s.Search)return nil}
3.6. 使用goroutine加载daemon对象
执行完builtins的加载,回到mainDaemon()的执行,通过一个goroutine来加载daemon对象并开始运行。这一环节的执行,主要包含三个步骤:
- 通过init函数中初始化的daemonCfg与eng对象来创建一个daemon对象d;(守护进程)
- 通过daemon对象的Install函数,向eng对象中注册众多的Handler;
- 在Docker Daemon启动完毕之后,运行名为”acceptconnections”的job,主要工作为向init守护进程发送”READY=1”信号,以便开始正常接受请求。
/docker/daemon.go
// load the daemon in the background so we can immediately start// the http api so that connections don't fail while the daemon// is bootinggo func() {d, err := daemon.NewDaemon(daemonCfg, eng)if err != nil {log.Fatal(err)}if err := d.Install(eng); err != nil {log.Fatal(err)}// after the daemon is done setting up we can tell the api to start// accepting connectionsif err := eng.Job("acceptconnections").Run(); err != nil {log.Fatal(err)}}()
3.6.1. 创建daemon对象
/docker/daemon.go
d, err := daemon.NewDaemon(daemonCfg, eng)if err != nil {log.Fatal(err)}
daemon.NewDaemon(daemonCfg, eng)是创建daemon对象d的核心部分。主要作用为初始化Docker Daemon的基本环境,如处理config参数,验证系统支持度,配置Docker工作目录,设置与加载多种driver,创建graph环境等,验证DNS配置等。具体参考NewDaemon 。
3.6.2. 通过daemon对象为engine注册Handler
当创建完daemon对象,goroutine执行d.Install(eng)
/daemon/daemon.go
type Daemon struct {repository stringsysInitPath stringcontainers *contStoregraph *graph.Graphrepositories *graph.TagStoreidIndex *truncindex.TruncIndexsysInfo *sysinfo.SysInfovolumes *graph.Grapheng *engine.Engineconfig *ConfigcontainerGraph *graphdb.Databasedriver graphdriver.DriverexecDriver execdriver.Driver}// Install installs daemon capabilities to eng.func (daemon *Daemon) Install(eng *engine.Engine) error {// FIXME: rename "delete" to "rm" for consistency with the CLI command// FIXME: rename ContainerDestroy to ContainerRm for consistency with the CLI command// FIXME: remove ImageDelete's dependency on Daemon, then move to graph/for name, method := range map[string]engine.Handler{"attach": daemon.ContainerAttach,"build": daemon.CmdBuild,"commit": daemon.ContainerCommit,"container_changes": daemon.ContainerChanges,"container_copy": daemon.ContainerCopy,"container_inspect": daemon.ContainerInspect,"containers": daemon.Containers,"create": daemon.ContainerCreate,"delete": daemon.ContainerDestroy,"export": daemon.ContainerExport,"info": daemon.CmdInfo,"kill": daemon.ContainerKill,"logs": daemon.ContainerLogs,"pause": daemon.ContainerPause,"resize": daemon.ContainerResize,"restart": daemon.ContainerRestart,"start": daemon.ContainerStart,"stop": daemon.ContainerStop,"top": daemon.ContainerTop,"unpause": daemon.ContainerUnpause,"wait": daemon.ContainerWait,"image_delete": daemon.ImageDelete, // FIXME: see above} {if err := eng.Register(name, method); err != nil {return err}}if err := daemon.Repositories().Install(eng); err != nil {return err}// FIXME: this hack is necessary for legacy integration tests to access// the daemon object.eng.Hack_SetGlobalVar("httpapi.daemon", daemon)return nil}
以上代码的实现分为三部分:
- 向eng对象中注册众多的Handler对象;
- daemon.Repositories().Install(eng)实现了向eng对象注册多个与image相关的Handler,Install的实现位于./docker/graph/service.go;
- eng.Hack_SetGlobalVar(“httpapi.daemon”, daemon)实现向eng对象中map类型的hack对象中添加一条记录,key为”httpapi.daemon”,value为daemon。
3.6.3. 运行acceptconnections的job
/docker/daemon.go
if err := eng.Job("acceptconnections").Run(); err != nil {log.Fatal(err)}
在goroutine内部最后运行名为”acceptconnections”的job,主要作用是通知init守护进程,Docker Daemon可以开始接受请求了。
首先执行eng.Job(“acceptconnections”),返回一个Job,随后再执行eng.Job(“acceptconnections”).Run(),也就是该执行Job的run函数。
/engine/engine.go
// Job creates a new job which can later be executed.// This function mimics `Command` from the standard os/exec package.func (eng *Engine) Job(name string, args ...string) *Job {job := &Job{Eng: eng,Name: name,Args: args,Stdin: NewInput(),Stdout: NewOutput(),Stderr: NewOutput(),env: &Env{},}if eng.Logging {job.Stderr.Add(utils.NopWriteCloser(eng.Stderr))}// Catchall is shadowed by specific Register.if handler, exists := eng.handlers[name]; exists {job.handler = handler} else if eng.catchall != nil && name != "" {// empty job names are illegal, catchall or not.job.handler = eng.catchall}return job}
- 首先创建一个类型为Job的job对象,该对象中Eng属性为函数的调用者eng,Name属性为”acceptconnections”,没有参数传入。
- 另外在eng对象所有的handlers属性中寻找键为”acceptconnections”记录的值,由于在加载builtins操作中的remote(eng)中已经向eng注册过这样的一条记录,key为”acceptconnections”,value为apiserver.AcceptConnections。
- 因此job对象的handler为apiserver.AcceptConnections。
- 最后返回已经初始化完毕的对象job。
创建完job对象之后,随即执行该job对象的run()函数。
/engine/job.go
// A job is the fundamental unit of work in the docker engine.// Everything docker can do should eventually be exposed as a job.// For example: execute a process in a container, create a new container,// download an archive from the internet, serve the http api, etc.//// The job API is designed after unix processes: a job has a name, arguments,// environment variables, standard streams for input, output and error, and// an exit status which can indicate success (0) or error (anything else).//// One slight variation is that jobs report their status as a string. The// string "0" indicates success, and any other strings indicates an error.// This allows for richer error reporting.//type Job struct {Eng *EngineName stringArgs []stringenv *EnvStdout *OutputStderr *OutputStdin *Inputhandler Handlerstatus Statusend time.Time}type Status intconst (StatusOK Status = 0StatusErr Status = 1StatusNotFound Status = 127)// Run executes the job and blocks until the job completes.// If the job returns a failure status, an error is returned// which includes the status.func (job *Job) Run() error {if job.Eng.IsShutdown() {return fmt.Errorf("engine is shutdown")}// FIXME: this is a temporary workaround to avoid Engine.Shutdown// waiting 5 seconds for server/api.ServeApi to complete (which it never will)// everytime the daemon is cleanly restarted.// The permanent fix is to implement Job.Stop and Job.OnStop so that// ServeApi can cooperate and terminate cleanly.if job.Name != "serveapi" {job.Eng.l.Lock()job.Eng.tasks.Add(1)job.Eng.l.Unlock()defer job.Eng.tasks.Done()}// FIXME: make this thread-safe// FIXME: implement waitif !job.end.IsZero() {return fmt.Errorf("%s: job has already completed", job.Name)}// Log beginning and end of the jobjob.Eng.Logf("+job %s", job.CallString())defer func() {job.Eng.Logf("-job %s%s", job.CallString(), job.StatusString())}()var errorMessage = bytes.NewBuffer(nil)job.Stderr.Add(errorMessage)if job.handler == nil {job.Errorf("%s: command not found", job.Name)job.status = 127} else {job.status = job.handler(job)job.end = time.Now()}// Wait for all background tasks to completeif err := job.Stdout.Close(); err != nil {return err}if err := job.Stderr.Close(); err != nil {return err}if err := job.Stdin.Close(); err != nil {return err}if job.status != 0 {return fmt.Errorf("%s", Tail(errorMessage, 1))}return nil}
Run()函数的实现位于./docker/engine/job.go,该函数执行指定的job,并在job执行完成前一直阻塞。对于名为”acceptconnections”的job对象,运行代码为job.status = job.handler(job),由于job.handler值为apiserver.AcceptConnections,故真正执行的是job.status = apiserver.AcceptConnections(job)。
进入AcceptConnections的具体实现,位于./docker/api/server/server.go,如下:
/api/server/server.go
func AcceptConnections(job *engine.Job) engine.Status {// Tell the init daemon we are accepting requestsgo systemd.SdNotify("READY=1")if activationLock != nil {close(activationLock)}return engine.StatusOK}
重点为go systemd.SdNotify(“READY=1”)的实现,位于./docker/pkg/system/sd_notify.go,主要作用是通知init守护进程Docker Daemon的启动已经全部完成,潜在的功能是使得Docker Daemon开始接受Docker Client发送来的API请求。
至此,已经完成通过goroutine来加载daemon对象并运行。
3.7. 打印Docker版本及驱动信息
显示docker的版本信息,以及ExecDriver和GraphDriver这两个驱动的具体信息
/docker/daemon.go
// TODO actually have a resolved graphdriver to show?log.Printf("docker daemon: %s %s; execdriver: %s; graphdriver: %s",dockerversion.VERSION,dockerversion.GITCOMMIT,daemonCfg.ExecDriver,daemonCfg.GraphDriver,)
3.8. serveapi的创建与运行
打印部分Docker具体信息之后,Docker Daemon立即创建并运行名为”serveapi”的job,主要作用为让Docker Daemon提供API访问服务。
/docker/daemon.go
// Serve apijob := eng.Job("serveapi", flHosts...)job.SetenvBool("Logging", true)job.SetenvBool("EnableCors", *flEnableCors)job.Setenv("Version", dockerversion.VERSION)job.Setenv("SocketGroup", *flSocketGroup)job.SetenvBool("Tls", *flTls)job.SetenvBool("TlsVerify", *flTlsVerify)job.Setenv("TlsCa", *flCa)job.Setenv("TlsCert", *flCert)job.Setenv("TlsKey", *flKey)job.SetenvBool("BufferRequests", true)if err := job.Run(); err != nil {log.Fatal(err)}
- 创建一个名为”serveapi”的job,并将flHosts的值赋给job.Args。flHost的作用主要是为Docker Daemon提供使用的协议与监听的地址。
- Docker Daemon为该job设置了众多的环境变量,如安全传输层协议的环境变量等。最后通过job.Run()运行该serveapi的job。
由于在eng中key为”serveapi”的handler,value为apiserver.ServeApi,故该job运行时,执行apiserver.ServeApi函数,位于./docker/api/server/server.go。ServeApi函数的作用主要是对于用户定义的所有支持协议,Docker Daemon均创建一个goroutine来启动相应的http.Server,分别为不同的协议服务。具体参考Docker Server。
参考:
- 《Docker源码分析》
