Flink Yarn Per Job - Yarn应用

程序入口类main方法

1）flink-1.12.0\flink-clients\…\CliFrontend.java

/**
 * Submits the job based on the arguments.
 */
public static void main(final String[] args) {
  EnvironmentInformation.logEnvironmentInfo(LOG, "Command Line Client", args);

  // 1. find the configuration directory
  /*TODO 获取flink的conf目录的路径*/
  final String configurationDirectory = getConfigurationDirectoryFromEnv();

  // 2. load the global configuration
  /*TODO 根据conf路径，加载配置*/
  final Configuration configuration = GlobalConfiguration.loadConfiguration(configurationDirectory);

  // 3. load the custom command lines
  /*TODO 封装命令行接口：按顺序Generic、Yarn、Default*/
  final List<CustomCommandLine> customCommandLines = loadCustomCommandLines(
    configuration,
    configurationDirectory);

  try {
    final CliFrontend cli = new CliFrontend(
      configuration,
      customCommandLines);

    SecurityUtils.install(new SecurityConfiguration(cli.configuration));
    int retCode = SecurityUtils.getInstalledContext()
        .runSecured(() -> cli.parseAndRun(args));
    System.exit(retCode);
  }
  catch (Throwable t) {
    final Throwable strippedThrowable = ExceptionUtils.stripException(t, UndeclaredThrowableException.class);
    LOG.error("Fatal error while running command line interface.", strippedThrowable);
    strippedThrowable.printStackTrace();
    System.exit(31);
  }
}

2）获取flink的conf目录的路径final String configurationDirectory = getConfigurationDirectoryFromEnv();

3）根据conf路径，加载配置

final Configuration configuration = 
GlobalConfiguration.loadConfiguration(configurationDirectory);

flink-1.12.0\flink-core\…\configuration\GlobalConfiguration.java

4）封装命令行

public static List<CustomCommandLine> loadCustomCommandLines(Configuration configuration, String configurationDirectory) {
  List<CustomCommandLine> customCommandLines = new ArrayList<>();
  customCommandLines.add(new GenericCLI(configuration, configurationDirectory));

  //  Command line interface of the YARN session, with a special initialization here
  //  to prefix all options with y/yarn.
  final String flinkYarnSessionCLI = "org.apache.flink.yarn.cli.FlinkYarnSessionCli";
  try {
    customCommandLines.add(
      loadCustomCommandLine(flinkYarnSessionCLI,
        configuration,
        configurationDirectory,
        "y",
        "yarn"));
  } catch (NoClassDefFoundError | Exception e) {
    final String errorYarnSessionCLI = "org.apache.flink.yarn.cli.FallbackYarnSessionCli";
    try {
      LOG.info("Loading FallbackYarnSessionCli");
      customCommandLines.add(
          loadCustomCommandLine(errorYarnSessionCLI, configuration));
    } catch (Exception exception) {
      LOG.warn("Could not load CLI class {}.", flinkYarnSessionCLI, e);
    }
  }

  //  Tips: DefaultCLI must be added at last, because getActiveCustomCommandLine(..) will get the
  //        active CustomCommandLine in order and DefaultCLI isActive always return true.
  customCommandLines.add(new DefaultCLI());

  return customCommandLines;
}

依次是：Generic、Yarn、Default

**5）解析命令行参数
**

解析命令行参数并启动所有请求操作

flink-1.12.0\flink-clients\…\client\cli\CliFrontend.java

/**
 * Parses the command line arguments and starts the requested action.
 *
 * @param args command line arguments of the client.
 * @return The return code of the program
 */
public int parseAndRun(String[] args) {

  // check for action
  if (args.length < 1) {
    CliFrontendParser.printHelp(customCommandLines);
    System.out.println("Please specify an action.");
    return 1;
  }

  // get action
  String action = args[0];

  // remove action from parameters
  final String[] params = Arrays.copyOfRange(args, 1, args.length);

  try {
    // do action
    switch (action) {
      case ACTION_RUN:
        run(params);
        return 0;
      case ACTION_RUN_APPLICATION:
        runApplication(params);
        return 0;
      case ACTION_LIST:
        list(params);
        return 0;
      case ACTION_INFO:
        info(params);
        return 0;
      case ACTION_CANCEL:
        cancel(params);
        return 0;
      case ACTION_STOP:
        stop(params);
        return 0;
      case ACTION_SAVEPOINT:
        savepoint(params);
        return 0;
      case "-h":
      case "--help":
        CliFrontendParser.printHelp(customCommandLines);
        return 0;
      case "-v":
      case "--version":
        String version = EnvironmentInformation.getVersion();
        String commitID = EnvironmentInformation.getRevisionInformation().commitId;
        System.out.print("Version: " + version);
        System.out.println(commitID.equals(EnvironmentInformation.UNKNOWN) ? "" : ", Commit ID: " + commitID);
        return 0;
      default:
        System.out.printf("\"%s\" is not a valid action.\n", action);
        System.out.println();
        System.out.println("Valid actions are \"run\", \"list\", \"info\", \"savepoint\", \"stop\", or \"cancel\".");
        System.out.println();
        System.out.println("Specify the version option (-v or --version) to print Flink version.");
        System.out.println();
        System.out.println("Specify the help option (-h or --help) to get help on the command.");
        return 1;
    }
  } 
  } catch (Exception e) {
    return handleError(e);
  }
}

另外：

flink -h|-help：flink帮助命令

flink -v|–version：flink查看版本

执行run操作

flink-1.12.0\flink-clients\…\client\cli\CliFrontend.java

  /**
   * Executions the run action.
   *
   * @param args Command line arguments for the run action.
   */
  protected void run(String[] args) throws Exception {
    LOG.info("Running 'run' command.");

    /*TODO 获取run动作，默认的配置项*/
    final Options commandOptions = CliFrontendParser.getRunCommandOptions();

    /*TODO 根据用户指定的配置项，进行解析*/
    final CommandLine commandLine = getCommandLine(commandOptions, args, true);

    // evaluate help flag
    if (commandLine.hasOption(HELP_OPTION.getOpt())) {
      CliFrontendParser.printHelpForRun(customCommandLines);
      return;
    }

    /*TODO 根据之前添加的顺序，挨个判断是否active：Generic、Yarn、Default*/
    final CustomCommandLine activeCommandLine =
        validateAndGetActiveCommandLine(checkNotNull(commandLine));

    final ProgramOptions programOptions = ProgramOptions.create(commandLine);

    /*TODO 获取 用户的jar包和其他依赖*/
    final List<URL> jobJars = getJobJarAndDependencies(programOptions);

    /*TODO 获取有效配置：HA的id、Target（session、per-job）、JobManager内存、TaskManager内存、每个TM的slot数...*/
    final Configuration effectiveConfiguration = getEffectiveConfiguration(
        activeCommandLine, commandLine, programOptions, jobJars);

    LOG.debug("Effective executor configuration: {}", effectiveConfiguration);

    final PackagedProgram program = getPackagedProgram(programOptions, effectiveConfiguration);

    try {
      /*TODO 执行程序*/
      executeProgram(effectiveConfiguration, program);
    } finally {
      program.deleteExtractedLibraries();
    }
  }

1）获取run动作，默认的配置项

final Options commandOptions = CliFrontendParser.getRunCommandOptions();

flink-1.12.0\flink-clients\…\client\cli\CliFrontendParser.java

public static Options getRunCommandOptions() {
  Options options = buildGeneralOptions(new Options());
  options = getProgramSpecificOptions(options);
  options.addOption(SAVEPOINT_PATH_OPTION);
  return options.addOption(SAVEPOINT_ALLOW_NON_RESTORED_OPTION);
}

flink-1.12.0\flink-clients\…\client\cli\CliFrontendParser.java

private static Options buildGeneralOptions(Options options) {
  options.addOption(HELP_OPTION);
  // backwards compatibility: ignore verbose flag (-v)
  options.addOption(new Option("v", "verbose", false, "This option is deprecated."));
  return options;
}

private static Options getProgramSpecificOptions(Options options) {
  options.addOption(JAR_OPTION);
  options.addOption(CLASS_OPTION);
  options.addOption(CLASSPATH_OPTION);
  options.addOption(PARALLELISM_OPTION);
  options.addOption(ARGS_OPTION);
  options.addOption(DETACHED_OPTION);
  options.addOption(SHUTDOWN_IF_ATTACHED_OPTION);
  options.addOption(YARN_DETACHED_OPTION);
  options.addOption(PY_OPTION);
  options.addOption(PYFILES_OPTION);
  options.addOption(PYMODULE_OPTION);
  options.addOption(PYREQUIREMENTS_OPTION);
  options.addOption(PYARCHIVE_OPTION);
  options.addOption(PYEXEC_OPTION);
  return options;
}

flink-1.12.0\flink-clients\…\client\cli\CliFrontendParser.java

参数简写和长写法

public class CliFrontendParser {

  static final Option HELP_OPTION = new Option("h", "help", false,
      "Show the help message for the CLI Frontend or the action.");

  static final Option JAR_OPTION = new Option("j", "jarfile", true, "Flink program JAR file.");

  static final Option CLASS_OPTION = new Option("c", "class", true,
      "Class with the program entry point (\"main()\" method). Only needed if the " +
      "JAR file does not specify the class in its manifest.");

  static final Option CLASSPATH_OPTION = new Option("C", "classpath", true, "Adds a URL to each user code " +
      "classloader  on all nodes in the cluster. The paths must specify a protocol (e.g. file://) and be " +
          "accessible on all nodes (e.g. by means of a NFS share). You can use this option multiple " +
          "times for specifying more than one URL. The protocol must be supported by the " +
          "{@link java.net.URLClassLoader}.");

  public static final Option PARALLELISM_OPTION = new Option("p", "parallelism", true,
      "The parallelism with which to run the program. Optional flag to override the default value " +
      "specified in the configuration.");
  public static final Option DETACHED_OPTION = new Option("d", "detached", false, "If present, runs " +
      "the job in detached mode");

  public static final Option SHUTDOWN_IF_ATTACHED_OPTION = new Option(
    "sae", "shutdownOnAttachedExit", false,
    "If the job is submitted in attached mode, perform a best-effort cluster shutdown " +
      "when the CLI is terminated abruptly, e.g., in response to a user interrupt, such as typing Ctrl + C.");


  public static final Option ARGS_OPTION = new Option("a", "arguments", true,
      "Program arguments. Arguments can also be added without -a, simply as trailing parameters.");

  public static final Option ADDRESS_OPTION = new Option("m", "jobmanager", true,
      "Address of the JobManager to which to connect. " +
      "Use this flag to connect to a different JobManager than the one specified in the configuration.");

  public static final Option SAVEPOINT_PATH_OPTION = new Option("s", "fromSavepoint", true,
      "Path to a savepoint to restore the job from (for example hdfs:///flink/savepoint-1537).");

  public static final Option SAVEPOINT_ALLOW_NON_RESTORED_OPTION = new Option("n", "allowNonRestoredState", false,
      "Allow to skip savepoint state that cannot be restored. " +
          "You need to allow this if you removed an operator from your " +
          "program that was part of the program when the savepoint was triggered.");

  static final Option SAVEPOINT_DISPOSE_OPTION = new Option("d", "dispose", true,
      "Path of savepoint to dispose.");

  // list specific options
  static final Option RUNNING_OPTION = new Option("r", "running", false,
      "Show only running programs and their JobIDs");

  static final Option SCHEDULED_OPTION = new Option("s", "scheduled", false,
      "Show only scheduled programs and their JobIDs");

  static final Option ALL_OPTION = new Option("a", "all", false,
    "Show all programs and their JobIDs");

  static final Option ZOOKEEPER_NAMESPACE_OPTION = new Option("z", "zookeeperNamespace", true,
      "Namespace to create the Zookeeper sub-paths for high availability mode");

  static final Option CANCEL_WITH_SAVEPOINT_OPTION = new Option(
      "s", "withSavepoint", true, "**DEPRECATION WARNING**: " +
      "Cancelling a job with savepoint is deprecated. Use \"stop\" instead. \n Trigger" +
      " savepoint and cancel job. The target directory is optional. If no directory is " +
      "specified, the configured default directory (" +
      CheckpointingOptions.SAVEPOINT_DIRECTORY.key() + ") is used.");

  ...

  }

2）根据用户指定的配置项，进行解析

final CommandLine commandLine = getCommandLine(commandOptions, args, true);

.m2\repository\commons-cli\commons-cli\1.3.1\commons-cli-1.3.1.jar!\org\apache\commons\cli\DefaultParser.class

public CommandLine parse(Options options, String[] arguments, Properties properties, boolean stopAtNonOption) throws ParseException {
    this.options = options;
    this.stopAtNonOption = stopAtNonOption;
    this.skipParsing = false;
    this.currentOption = null;
    this.expectedOpts = new ArrayList(options.getRequiredOptions());
    Iterator var5 = options.getOptionGroups().iterator();

    while(var5.hasNext()) {
        OptionGroup group = (OptionGroup)var5.next();
        group.setSelected((Option)null);
    }

    this.cmd = new CommandLine();
    if (arguments != null) {
        String[] var9 = arguments;
        int var10 = arguments.length;

        for(int var7 = 0; var7 < var10; ++var7) {
            String argument = var9[var7];
            // TODO: 
            this.handleToken(argument);
        }
    }

    this.checkRequiredArgs();
    this.handleProperties(properties);
    this.checkRequiredOptions();
    return this.cmd;
}

.m2\repository\commons-cli\commons-cli\1.3.1\commons-cli-1.3.1.jar!\org\apache\commons\cli\DefaultParser.class

private void handleToken(String token) throws ParseException {
    this.currentToken = token;
    if (this.skipParsing) {
        this.cmd.addArg(token);
    } else if ("--".equals(token)) {
        this.skipParsing = true;
    } else if (this.currentOption != null && this.currentOption.acceptsArg() && this.isArgument(token)) {
        this.currentOption.addValueForProcessing(Util.stripLeadingAndTrailingQuotes(token));
    } else if (token.startsWith("--")) {
        this.handleLongOption(token);
    } else if (token.startsWith("-") && !"-".equals(token)) {
        this.handleShortAndLongOption(token);
    } else {
        this.handleUnknownToken(token);
    }

    if (this.currentOption != null && !this.currentOption.acceptsArg()) {
        this.currentOption = null;
    }
}

匹配 一个“-” 的参数或者 两个“–”的参数

选择哪种客户端

1） 【程序入口类main方法】第四步 依次添加了： Generic、Yarn、Default 三种命令行客户端

2）根据之前添加的顺序，挨个判断是否active：Generic、Yarn、Default

flink-1.12.0\flink-clients\…\client\cli\CliFrontendParser.java

/**
 * Gets the custom command-line for the arguments.
 * @param commandLine The input to the command-line.
 * @return custom command-line which is active (may only be one at a time)
 */
public CustomCommandLine validateAndGetActiveCommandLine(CommandLine commandLine) {
  LOG.debug("Custom commandlines: {}", customCommandLines);
  for (CustomCommandLine cli : customCommandLines) {
    LOG.debug("Checking custom commandline {}, isActive: {}", cli, cli.isActive(commandLine));
    // 找到激活的
    if (cli.isActive(commandLine)) {
      return cli;
    }
  }
  throw new IllegalStateException("No valid command-line found.");
}

在 FlinkYarnSessionCli 为 active 时优先返回 FlinkYarnSessionCli。

对于 DefaultCli，它的 isActive 方法总是返回 true。

flink-1.12.0\flink-yarn\…\yarn\cli\AbstractYarnCli.java

@Override
public boolean isActive(CommandLine commandLine) {
  final String jobManagerOption = commandLine.getOptionValue(addressOption.getOpt(), null);
  // TODO ID是固定的字符串 "yarn-cluster"
  final boolean yarnJobManager = ID.equals(jobManagerOption);
  // TODO 判断是否存在 Yarn Session对应的 AppID
  final boolean hasYarnAppId = commandLine.hasOption(applicationId.getOpt())
    || configuration.getOptional(YarnConfigOptions.APPLICATION_ID).isPresent();
  final boolean hasYarnExecutor = YarnSessionClusterExecutor.NAME.equalsIgnoreCase(configuration.get(DeploymentOptions.TARGET))
    || YarnJobClusterExecutor.NAME.equalsIgnoreCase(configuration.get(DeploymentOptions.TARGET));
  // TODO -m yarn-cluster || yarn有appID，或者命令行指定了 || 执行器是yarn的*/
  return hasYarnExecutor || yarnJobManager || hasYarnAppId;
}

是否指定为 per-job 模式，即指定”-m yarn-cluster”; ID = “yarn-cluster”

是否存在 flink 在 yarn 的 appID，即 yarn-session 模式是否启动

executor 的名字为 “yarn-session” 或 “yarn-per-job”

获取有效配置

1）获取有效配置：HA的id、Target（session、per-job）、JobManager内存、TaskManager内存、每个TM的slot数

final Configuration effectiveConfiguration = getEffectiveConfiguration(
    activeCommandLine, commandLine, programOptions, jobJars);

flink-1.12.0\flink-clients\…\client\cli\CliFrontend.java

private <T> Configuration getEffectiveConfiguration(
    final CustomCommandLine activeCustomCommandLine,
    final CommandLine commandLine) throws FlinkException {

  final Configuration effectiveConfiguration = new Configuration(configuration);

  final Configuration commandLineConfiguration =
      checkNotNull(activeCustomCommandLine).toConfiguration(commandLine);

  effectiveConfiguration.addAll(commandLineConfiguration);

  return effectiveConfiguration;
}

flink-1.12.0\flink-yarn\…\yarn\cli\FlinkYarnSessionCli.java

@Override
public Configuration toConfiguration(CommandLine commandLine) throws FlinkException {
  // we ignore the addressOption because it can only contain "yarn-cluster"
  final Configuration effectiveConfiguration = new Configuration();

  applyDescriptorOptionToConfig(commandLine, effectiveConfiguration);

  final ApplicationId applicationId = getApplicationId(commandLine);
  // 1.0 检查zkns
  if (applicationId != null) {
    final String zooKeeperNamespace;
    if (commandLine.hasOption(zookeeperNamespace.getOpt())){
      zooKeeperNamespace = commandLine.getOptionValue(zookeeperNamespace.getOpt());
    } else {
      zooKeeperNamespace = effectiveConfiguration.getString(HA_CLUSTER_ID, applicationId.toString());
    }
    // 1.1 设置 HA_CLUSTER_ID
    effectiveConfiguration.setString(HA_CLUSTER_ID, zooKeeperNamespace);
    // 1.2 设置 APPLICATION_ID
    effectiveConfiguration.setString(YarnConfigOptions.APPLICATION_ID, ConverterUtils.toString(applicationId));
    // 1.3 设置 TARGET  
    //TARGET 就是 execution.target，目标执行器
    //决定后面什么类型的执行器提交任务：yarn-session、yarn-per-job
    effectiveConfiguration.setString(DeploymentOptions.TARGET, YarnSessionClusterExecutor.NAME);
  } else {
    effectiveConfiguration.setString(DeploymentOptions.TARGET, YarnJobClusterExecutor.NAME);
  }
 
  if (commandLine.hasOption(jmMemory.getOpt())) {
    String jmMemoryVal = commandLine.getOptionValue(jmMemory.getOpt());
    if (!MemorySize.MemoryUnit.hasUnit(jmMemoryVal)) {
      jmMemoryVal += "m";
    }
    // 2.0 设置JM内存
    effectiveConfiguration.set(JobManagerOptions.TOTAL_PROCESS_MEMORY, MemorySize.parse(jmMemoryVal));
  }

  if (commandLine.hasOption(tmMemory.getOpt())) {
    String tmMemoryVal = commandLine.getOptionValue(tmMemory.getOpt());
    if (!MemorySize.MemoryUnit.hasUnit(tmMemoryVal)) {
      tmMemoryVal += "m";
    }
    // 3.0 设置TM内存
    effectiveConfiguration.set(TaskManagerOptions.TOTAL_PROCESS_MEMORY, MemorySize.parse(tmMemoryVal));
  }

  if (commandLine.hasOption(slots.getOpt())) {
   // 4.0 设置slot
    effectiveConfiguration.setInteger(TaskManagerOptions.NUM_TASK_SLOTS, Integer.parseInt(commandLine.getOptionValue(slots.getOpt())));
  }

  dynamicPropertiesEncoded = encodeDynamicProperties(commandLine);
  if (!dynamicPropertiesEncoded.isEmpty()) {
    Map<String, String> dynProperties = getDynamicProperties(dynamicPropertiesEncoded);
    for (Map.Entry<String, String> dynProperty : dynProperties.entrySet()) {
      effectiveConfiguration.setString(dynProperty.getKey(), dynProperty.getValue());
    }
  }

  if (isYarnPropertiesFileMode(commandLine)) {
    return applyYarnProperties(effectiveConfiguration);
  } else {
    return effectiveConfiguration;
  }
}

1.0、 检查zkns

1.1 设置 HA_CLUSTER_ID

1.2 设置 APPLICATION_ID

1.3 设置 TARGET：TARGET 就是 execution.target，目标执行器。决定后面什么类型的执行器提交任务：yarn-session、yarn-per-job

2.0、 设置JM内存

3.0、 设置TM内存

4.0、 设置slot

调用用户的main方法

executeProgram(effectiveConfiguration, program)

flink-1.12.0\flink-clients\…\client\ClientUtils.java

public static void executeProgram(
    PipelineExecutorServiceLoader executorServiceLoader,
    Configuration configuration,
    PackagedProgram program,
    boolean enforceSingleJobExecution,
    boolean suppressSysout) throws ProgramInvocationException {
  checkNotNull(executorServiceLoader);
  final ClassLoader userCodeClassLoader = program.getUserCodeClassLoader();
  final ClassLoader contextClassLoader = Thread.currentThread().getContextClassLoader();
  try {
    // 设置当前的 classloader 为用户代码的 classloader
    Thread.currentThread().setContextClassLoader(userCodeClassLoader);

    LOG.info("Starting program (detached: {})", !configuration.getBoolean(DeploymentOptions.ATTACHED));

    /*TODO 配置环境的上下文，用户代码里的 getExecutionEnvironment就会拿到这些环境信息*/
    ContextEnvironment.setAsContext(
      executorServiceLoader,
      configuration,
      userCodeClassLoader,
      enforceSingleJobExecution,
      suppressSysout);

    StreamContextEnvironment.setAsContext(
      executorServiceLoader,
      configuration,
      userCodeClassLoader,
      enforceSingleJobExecution,
      suppressSysout);

    try {
     // 主要 执行用户main方法
      program.invokeInteractiveModeForExecution();
    } finally {
      ContextEnvironment.unsetAsContext();
      StreamContextEnvironment.unsetAsContext();
    }
  } finally {
    Thread.currentThread().setContextClassLoader(contextClassLoader);
  }
}

flink-1.12.0\flink-clients\…\client\program\PackagedProgram.java

public void invokeInteractiveModeForExecution() throws ProgramInvocationException {
  callMainMethod(mainClass, args);
}

flink-1.12.0\flink-clients\…\client\program\PackagedProgram.java

private static void callMainMethod(Class<?> entryClass, String[] args) throws ProgramInvocationException {
  Method mainMethod;
  if (!Modifier.isPublic(entryClass.getModifiers())) {
    throw new ProgramInvocationException("The class " + entryClass.getName() + " must be public.");
  }

  try {
    // 获取main
    mainMethod = entryClass.getMethod("main", String[].class);
  } catch (NoSuchMethodException e) {
    throw new ProgramInvocationException("The class " + entryClass.getName() + " has no main(String[]) method.");
  } catch (Throwable t) {
    throw new ProgramInvocationException("Could not look up the main(String[]) method from the class " +
      entryClass.getName() + ": " + t.getMessage(), t);
  }

  if (!Modifier.isStatic(mainMethod.getModifiers())) {
    throw new ProgramInvocationException("The class " + entryClass.getName() + " declares a non-static main method.");
  }
  if (!Modifier.isPublic(mainMethod.getModifiers())) {
    throw new ProgramInvocationException("The class " + entryClass.getName() + " declares a non-public main method.");
  }

  try {
    /*TODO 调用用户代码的main方法（通过反射）*/
    mainMethod.invoke(null, (Object) args);
  } catch (IllegalArgumentException e) {
    throw new ProgramInvocationException("Could not invoke the main method, arguments are not matching.", e);
  } catch (IllegalAccessException e) {
    throw new ProgramInvocationException("Access to the main method was denied: " + e.getMessage(), e);
  } catch (InvocationTargetException e) {
    Throwable exceptionInMethod = e.getTargetException();
    if (exceptionInMethod instanceof Error) {
      throw (Error) exceptionInMethod;
    } else if (exceptionInMethod instanceof ProgramParametrizationException) {
      throw (ProgramParametrizationException) exceptionInMethod;
    } else if (exceptionInMethod instanceof ProgramInvocationException) {
      throw (ProgramInvocationException) exceptionInMethod;
    } else {
      throw new ProgramInvocationException("The main method caused an error: " + exceptionInMethod.getMessage(), exceptionInMethod);
    }
  } catch (Throwable t) {
    throw new ProgramInvocationException("An error occurred while invoking the program's main method: " + t.getMessage(), t);
  }
}

调用执行环境main方法

flink-1.12.0\flink-streaming-java\…\streaming\api\environment\StreamExecutionEnvironment.java

public JobExecutionResult execute(String jobName) throws Exception {
  Preconditions.checkNotNull(jobName, "Streaming Job name should not be null.");

  /*TODO 获取StreamGraph，并接着执行*/
  return execute(getStreamGraph(jobName));
}

@Internal
public JobClient executeAsync(StreamGraph streamGraph) throws Exception {
  checkNotNull(streamGraph, "StreamGraph cannot be null.");
  checkNotNull(configuration.get(DeploymentOptions.TARGET), "No execution.target specified in your configuration file.");
  // 根据提交模式选择匹配的 factory
  final PipelineExecutorFactory executorFactory =
    executorServiceLoader.getExecutorFactory(configuration);

  checkNotNull(
    executorFactory,
    "Cannot find compatible factory for specified execution.target (=%s)",
    configuration.get(DeploymentOptions.TARGET));

  // 选择合适的 executor 提交任务
  CompletableFuture<JobClient> jobClientFuture = executorFactory
    .getExecutor(configuration)
    .execute(streamGraph, configuration, userClassloader);

  try {
    JobClient jobClient = jobClientFuture.get();
    jobListeners.forEach(jobListener -> jobListener.onJobSubmitted(jobClient, null));
    return jobClient;
  } catch (ExecutionException executionException) {
  
  }
}

flink-1.12.0\flink-clients\…\client\deployment\executors\AbstractSessionClusterExecutor.java

public CompletableFuture<JobClient> execute(@Nonnull final Pipeline pipeline, @Nonnull final Configuration configuration, @Nonnull final ClassLoader userCodeClassloader) throws Exception {
  // 获取JobGraph
  final JobGraph jobGraph = PipelineExecutorUtils.getJobGraph(pipeline, configuration);

  try (final ClusterDescriptor<ClusterID> clusterDescriptor = clusterClientFactory.createClusterDescriptor(configuration)) {
    final ClusterID clusterID = clusterClientFactory.getClusterId(configuration);
    checkState(clusterID != null);

    final ClusterClientProvider<ClusterID> clusterClientProvider = clusterDescriptor.retrieve(clusterID);
    ClusterClient<ClusterID> clusterClient = clusterClientProvider.getClusterClient();
    return clusterClient
        .submitJob(jobGraph)
        .thenApplyAsync(FunctionUtils.uncheckedFunction(jobId -> {
          ClientUtils.waitUntilJobInitializationFinished(
            () -> clusterClient.getJobStatus(jobId).get(),
            () -> clusterClient.requestJobResult(jobId).get(),
            userCodeClassloader);
          return jobId;
        }))
        .thenApplyAsync(jobID -> (JobClient) new ClusterClientJobClientAdapter<>(
            clusterClientProvider,
            jobID,
            userCodeClassloader))
        .whenComplete((ignored1, ignored2) -> clusterClient.close());
  }
}

Job提交流程接下篇