上一期指路
第四期
上一期已经分析了作业图生成，这一期主要分析上传jar包和配置、封装参数以及启动命令并把应用提交给yarn集群中的rm，然后会在nm上启动ApplicationMaster以及YarnJobClusterEntrypoint。
从上一期分析的这个图开始，生成作业图已经分析完了，接下来主要看部署集群
1.YarnClusterDescriptor#deployJobCluster
public ClusterClientProvider<ApplicationId> deployJobCluster(
ClusterSpecification clusterSpecification,
JobGraph jobGraph,
boolean detached) throws ClusterDeploymentException {
try {
return deployInternal(
clusterSpecification,
"Flink per-job cluster",
getYarnJobClusterEntrypoint(),
jobGraph,
detached);
} catch (Exception e) {
throw new ClusterDeploymentException("Could not deploy Yarn job cluster.", e);
}
}2.YarnClusterDescriptor#deployInternal
private ClusterClientProvider<ApplicationId> deployInternal(
ClusterSpecification clusterSpecification,
String applicationName,
String yarnClusterEntrypoint,
@Nullable JobGraph jobGraph,
boolean detached) throws Exception {
final UserGroupInformation currentUser = UserGroupInformation.getCurrentUser();
if (HadoopUtils.isKerberosSecurityEnabled(currentUser)) {
boolean useTicketCache = flinkConfiguration.getBoolean(SecurityOptions.KERBEROS_LOGIN_USETICKETCACHE);
if (!HadoopUtils.areKerberosCredentialsValid(currentUser, useTicketCache)) {
throw new RuntimeException("Hadoop security with Kerberos is enabled but the login user " +
"does not have Kerberos credentials or delegation tokens!");
}
}
isReadyForDeployment(clusterSpecification);
// ------------------ Check if the specified queue exists --------------------
checkYarnQueues(yarnClient);
// ------------------ Check if the YARN ClusterClient has the requested resources --------------
// Create application via yarnClient
final YarnClientApplication yarnApplication = yarnClient.createApplication();
final GetNewApplicationResponse appResponse = yarnApplication.getNewApplicationResponse();
Resource maxRes = appResponse.getMaximumResourceCapability();
final ClusterResourceDescription freeClusterMem;
try {
freeClusterMem = getCurrentFreeClusterResources(yarnClient);
} catch (YarnException | IOException e) {
failSessionDuringDeployment(yarnClient, yarnApplication);
throw new YarnDeploymentException("Could not retrieve information about free cluster resources.", e);
}
final int yarnMinAllocationMB = yarnConfiguration.getInt(
YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB,
YarnConfiguration.DEFAULT_RM_SCHEDULER_MINIMUM_ALLOCATION_MB);
if (yarnMinAllocationMB <= 0) {
throw new YarnDeploymentException("The minimum allocation memory "
+ "(" + yarnMinAllocationMB + " MB) configured via '" + YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB
+ "' should be greater than 0.");
}
final ClusterSpecification validClusterSpecification;
try {
validClusterSpecification = validateClusterResources(
clusterSpecification,
yarnMinAllocationMB,
maxRes,
freeClusterMem);
} catch (YarnDeploymentException yde) {
failSessionDuringDeployment(yarnClient, yarnApplication);
throw yde;
}
LOG.info("Cluster specification: {}", validClusterSpecification);
final ClusterEntrypoint.ExecutionMode executionMode = detached ?
ClusterEntrypoint.ExecutionMode.DETACHED
: ClusterEntrypoint.ExecutionMode.NORMAL;
flinkConfiguration.setString(ClusterEntrypoint.EXECUTION_MODE, executionMode.toString());
ApplicationReport report = startAppMaster(
flinkConfiguration,
applicationName,
yarnClusterEntrypoint,
jobGraph,
yarnClient,
yarnApplication,
validClusterSpecification);
// print the application id for user to cancel themselves.
if (detached) {
final ApplicationId yarnApplicationId = report.getApplicationId();
logDetachedClusterInformation(yarnApplicationId, LOG);
}
setClusterEntrypointInfoToConfig(report);
return () -> {
try {
return new RestClusterClient<>(flinkConfiguration, report.getApplicationId());
} catch (Exception e) {
throw new RuntimeException("Error while creating RestClusterClient.", e);
}
};
}
其中对于响应信息的格式如下：
我们详细去看
startAppMaster这一步
3.YarnClusterDescriptor#startAppMaster
private ApplicationReport startAppMaster(
Configuration configuration,
String applicationName,
String yarnClusterEntrypoint,
JobGraph jobGraph,
YarnClient yarnClient,
YarnClientApplication yarnApplication,
ClusterSpecification clusterSpecification) throws Exception {
// ------------------ Initialize the file systems -------------------------
org.apache.flink.core.fs.FileSystem.initialize(
configuration,
PluginUtils.createPluginManagerFromRootFolder(configuration));
final FileSystem fs = FileSystem.get(yarnConfiguration);
// hard coded check for the GoogleHDFS client because its not overriding the getScheme() method.
if (!fs.getClass().getSimpleName().equals("GoogleHadoopFileSystem") &&
fs.getScheme().startsWith("file")) {
LOG.warn("The file system scheme is '" + fs.getScheme() + "'. This indicates that the "
+ "specified Hadoop configuration path is wrong and the system is using the default Hadoop configuration values."
+ "The Flink YARN client needs to store its files in a distributed file system");
}
ApplicationSubmissionContext appContext = yarnApplication.getApplicationSubmissionContext();
final List<Path> providedLibDirs = Utils.getQualifiedRemoteSharedPaths(configuration, yarnConfiguration);
final YarnApplicationFileUploader fileUploader = YarnApplicationFileUploader.from(
fs,
getStagingDir(fs),
providedLibDirs,
appContext.getApplicationId(),
getFileReplication());
// The files need to be shipped and added to classpath.
Set<File> systemShipFiles = new HashSet<>(shipFiles.size());
for (File file : shipFiles) {
systemShipFiles.add(file.getAbsoluteFile());
}
final String logConfigFilePath = configuration.getString(YarnConfigOptionsInternal.APPLICATION_LOG_CONFIG_FILE);
if (logConfigFilePath != null) {
systemShipFiles.add(new File(logConfigFilePath));
}
// Set-up ApplicationSubmissionContext for the application
final ApplicationId appId = appContext.getApplicationId();
// ------------------ Add Zookeeper namespace to local flinkConfiguraton ------
String zkNamespace = getZookeeperNamespace();
// no user specified cli argument for namespace?
if (zkNamespace == null || zkNamespace.isEmpty()) {
// namespace defined in config? else use applicationId as default.
zkNamespace = configuration.getString(HighAvailabilityOptions.HA_CLUSTER_ID, String.valueOf(appId));
setZookeeperNamespace(zkNamespace);
}
configuration.setString(HighAvailabilityOptions.HA_CLUSTER_ID, zkNamespace);
if (HighAvailabilityMode.isHighAvailabilityModeActivated(configuration)) {
// activate re-execution of failed applications
appContext.setMaxAppAttempts(
configuration.getInteger(
YarnConfigOptions.APPLICATION_ATTEMPTS.key(),
YarnConfiguration.DEFAULT_RM_AM_MAX_ATTEMPTS));
activateHighAvailabilitySupport(appContext);
} else {
// set number of application retries to 1 in the default case
appContext.setMaxAppAttempts(
configuration.getInteger(
YarnConfigOptions.APPLICATION_ATTEMPTS.key(),
1));
}
final Set<Path> userJarFiles = new HashSet<>();
if (jobGraph != null) {
userJarFiles.addAll(jobGraph.getUserJars().stream().map(f -> f.toUri()).map(Path::new).collect(Collectors.toSet()));
}
final List<URI> jarUrls = ConfigUtils.decodeListFromConfig(configuration, PipelineOptions.JARS, URI::create);
if (jarUrls != null && YarnApplicationClusterEntryPoint.class.getName().equals(yarnClusterEntrypoint)) {
userJarFiles.addAll(jarUrls.stream().map(Path::new).collect(Collectors.toSet()));
}
// only for per job mode
if (jobGraph != null) {
for (Map.Entry<String, DistributedCache.DistributedCacheEntry> entry : jobGraph.getUserArtifacts().entrySet()) {
// only upload local files
if (!Utils.isRemotePath(entry.getValue().filePath)) {
Path localPath = new Path(entry.getValue().filePath);
Tuple2<Path, Long> remoteFileInfo =
fileUploader.uploadLocalFileToRemote(localPath, entry.getKey());
jobGraph.setUserArtifactRemotePath(entry.getKey(), remoteFileInfo.f0.toString());
}
}
jobGraph.writeUserArtifactEntriesToConfiguration();
}
if (providedLibDirs == null || providedLibDirs.isEmpty()) {
addLibFoldersToShipFiles(systemShipFiles);
}
// Register all files in provided lib dirs as local resources with public visibility
// and upload the remaining dependencies as local resources with APPLICATION visibility.
final List<String> systemClassPaths = fileUploader.registerProvidedLocalResources();
final List<String> uploadedDependencies = fileUploader.registerMultipleLocalResources(
systemShipFiles.stream().map(e -> new Path(e.toURI())).collect(Collectors.toSet()),
Path.CUR_DIR,
LocalResourceType.FILE);
systemClassPaths.addAll(uploadedDependencies);
// upload and register ship-only files
// Plugin files only need to be shipped and should not be added to classpath.
if (providedLibDirs == null || providedLibDirs.isEmpty()) {
Set<File> shipOnlyFiles = new HashSet<>();
addPluginsFoldersToShipFiles(shipOnlyFiles);
fileUploader.registerMultipleLocalResources(
shipOnlyFiles.stream().map(e -> new Path(e.toURI())).collect(Collectors.toSet()),
Path.CUR_DIR,
LocalResourceType.FILE);
}
if (!shipArchives.isEmpty()) {
fileUploader.registerMultipleLocalResources(
shipArchives.stream().map(e -> new Path(e.toURI())).collect(Collectors.toSet()),
Path.CUR_DIR,
LocalResourceType.ARCHIVE);
}
// Upload and register user jars
final List<String> userClassPaths = fileUploader.registerMultipleLocalResources(
userJarFiles,
userJarInclusion == YarnConfigOptions.UserJarInclusion.DISABLED
? ConfigConstants.DEFAULT_FLINK_USR_LIB_DIR
: Path.CUR_DIR,
LocalResourceType.FILE);
if (userJarInclusion == YarnConfigOptions.UserJarInclusion.ORDER) {
systemClassPaths.addAll(userClassPaths);
}
// normalize classpath by sorting
Collections.sort(systemClassPaths);
Collections.sort(userClassPaths);
// classpath assembler
StringBuilder classPathBuilder = new StringBuilder();
if (userJarInclusion == YarnConfigOptions.UserJarInclusion.FIRST) {
for (String userClassPath : userClassPaths) {
classPathBuilder.append(userClassPath).append(File.pathSeparator);
}
}
for (String classPath : systemClassPaths) {
classPathBuilder.append(classPath).append(File.pathSeparator);
}
// Setup jar for ApplicationMaster
final YarnLocalResourceDescriptor localResourceDescFlinkJar = fileUploader.uploadFlinkDist(flinkJarPath);
classPathBuilder.append(localResourceDescFlinkJar.getResourceKey()).append(File.pathSeparator);
// write job graph to tmp file and add it to local resource
// TODO: server use user main method to generate job graph
if (jobGraph != null) {
File tmpJobGraphFile = null;
try {
tmpJobGraphFile = File.createTempFile(appId.toString(), null);
try (FileOutputStream output = new FileOutputStream(tmpJobGraphFile);
ObjectOutputStream obOutput = new ObjectOutputStream(output)) {
obOutput.writeObject(jobGraph);
}
final String jobGraphFilename = "job.graph";
configuration.setString(JOB_GRAPH_FILE_PATH, jobGraphFilename);
fileUploader.registerSingleLocalResource(
jobGraphFilename,
new Path(tmpJobGraphFile.toURI()),
"",
LocalResourceType.FILE,
true,
false);
classPathBuilder.append(jobGraphFilename).append(File.pathSeparator);
} catch (Exception e) {
LOG.warn("Add job graph to local resource fail.");
throw e;
} finally {
if (tmpJobGraphFile != null && !tmpJobGraphFile.delete()) {
LOG.warn("Fail to delete temporary file {}.", tmpJobGraphFile.toPath());
}
}
}
// Upload the flink configuration
// write out configuration file
File tmpConfigurationFile = null;
try {
tmpConfigurationFile = File.createTempFile(appId + "-flink-conf.yaml", null);
BootstrapTools.writeConfiguration(configuration, tmpConfigurationFile);
String flinkConfigKey = "flink-conf.yaml";
fileUploader.registerSingleLocalResource(
flinkConfigKey,
new Path(tmpConfigurationFile.getAbsolutePath()),
"",
LocalResourceType.FILE,
true,
true);
classPathBuilder.append("flink-conf.yaml").append(File.pathSeparator);
} finally {
if (tmpConfigurationFile != null && !tmpConfigurationFile.delete()) {
LOG.warn("Fail to delete temporary file {}.", tmpConfigurationFile.toPath());
}
}
if (userJarInclusion == YarnConfigOptions.UserJarInclusion.LAST) {
for (String userClassPath : userClassPaths) {
classPathBuilder.append(userClassPath).append(File.pathSeparator);
}
}
//To support Yarn Secure Integration Test Scenario
//In Integration test setup, the Yarn containers created by YarnMiniCluster does not have the Yarn site XML
//and KRB5 configuration files. We are adding these files as container local resources for the container
//applications (JM/TMs) to have proper secure cluster setup
Path remoteYarnSiteXmlPath = null;
if (System.getenv("IN_TESTS") != null) {
File f = new File(System.getenv("YARN_CONF_DIR"), Utils.YARN_SITE_FILE_NAME);
LOG.info("Adding Yarn configuration {} to the AM container local resource bucket", f.getAbsolutePath());
Path yarnSitePath = new Path(f.getAbsolutePath());
remoteYarnSiteXmlPath = fileUploader.registerSingleLocalResource(
Utils.YARN_SITE_FILE_NAME,
yarnSitePath,
"",
LocalResourceType.FILE,
false,
false).getPath();
if (System.getProperty("java.security.krb5.conf") != null) {
configuration.set(SecurityOptions.KERBEROS_KRB5_PATH, System.getProperty("java.security.krb5.conf"));
}
}
Path remoteKrb5Path = null;
boolean hasKrb5 = false;
String krb5Config = configuration.get(SecurityOptions.KERBEROS_KRB5_PATH);
if (!StringUtils.isNullOrWhitespaceOnly(krb5Config)) {
final File krb5 = new File(krb5Config);
LOG.info("Adding KRB5 configuration {} to the AM container local resource bucket", krb5.getAbsolutePath());
final Path krb5ConfPath = new Path(krb5.getAbsolutePath());
remoteKrb5Path = fileUploader.registerSingleLocalResource(
Utils.KRB5_FILE_NAME,
krb5ConfPath,
"",
LocalResourceType.FILE,
false,
false).getPath();
hasKrb5 = true;
}
Path remotePathKeytab = null;
String localizedKeytabPath = null;
String keytab = configuration.getString(SecurityOptions.KERBEROS_LOGIN_KEYTAB);
if (keytab != null) {
boolean localizeKeytab = flinkConfiguration.getBoolean(YarnConfigOptions.SHIP_LOCAL_KEYTAB);
localizedKeytabPath = flinkConfiguration.getString(YarnConfigOptions.LOCALIZED_KEYTAB_PATH);
if (localizeKeytab) {
// Localize the keytab to YARN containers via local resource.
LOG.info("Adding keytab {} to the AM container local resource bucket", keytab);
remotePathKeytab = fileUploader.registerSingleLocalResource(
localizedKeytabPath,
new Path(keytab),
"",
LocalResourceType.FILE,
false,
false).getPath();
} else {
// // Assume Keytab is pre-installed in the container.
localizedKeytabPath = flinkConfiguration.getString(YarnConfigOptions.LOCALIZED_KEYTAB_PATH);
}
}
final JobManagerProcessSpec processSpec = JobManagerProcessUtils.processSpecFromConfigWithNewOptionToInterpretLegacyHeap(
flinkConfiguration,
JobManagerOptions.TOTAL_PROCESS_MEMORY);
final ContainerLaunchContext amContainer = setupApplicationMasterContainer(
yarnClusterEntrypoint,
hasKrb5,
processSpec);
// setup security tokens
if (UserGroupInformation.isSecurityEnabled()) {
// set HDFS delegation tokens when security is enabled
LOG.info("Adding delegation token to the AM container.");
List<Path> yarnAccessList = ConfigUtils.decodeListFromConfig(configuration, YarnConfigOptions.YARN_ACCESS, Path::new);
Utils.setTokensFor(amContainer,
ListUtils.union(yarnAccessList, fileUploader.getRemotePaths()), yarnConfiguration
);
}
amContainer.setLocalResources(fileUploader.getRegisteredLocalResources());
fileUploader.close();
// Setup CLASSPATH and environment variables for ApplicationMaster
final Map<String, String> appMasterEnv = new HashMap<>();
// set user specified app master environment variables
appMasterEnv.putAll(
ConfigurationUtils.getPrefixedKeyValuePairs(ResourceManagerOptions.CONTAINERIZED_MASTER_ENV_PREFIX, configuration));
// set Flink app class path
appMasterEnv.put(YarnConfigKeys.ENV_FLINK_CLASSPATH, classPathBuilder.toString());
// set Flink on YARN internal configuration values
appMasterEnv.put(YarnConfigKeys.FLINK_DIST_JAR, localResourceDescFlinkJar.toString());
appMasterEnv.put(YarnConfigKeys.ENV_APP_ID, appId.toString());
appMasterEnv.put(YarnConfigKeys.ENV_CLIENT_HOME_DIR, fileUploader.getHomeDir().toString());
appMasterEnv.put(YarnConfigKeys.ENV_CLIENT_SHIP_FILES, encodeYarnLocalResourceDescriptorListToString(fileUploader.getEnvShipResourceList()));
appMasterEnv.put(YarnConfigKeys.ENV_ZOOKEEPER_NAMESPACE, getZookeeperNamespace());
appMasterEnv.put(YarnConfigKeys.FLINK_YARN_FILES, fileUploader.getApplicationDir().toUri().toString());
// https://github.com/apache/hadoop/blob/trunk/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/YarnApplicationSecurity.md#identity-on-an-insecure-cluster-hadoop_user_name
appMasterEnv.put(YarnConfigKeys.ENV_HADOOP_USER_NAME, UserGroupInformation.getCurrentUser().getUserName());
if (localizedKeytabPath != null) {
appMasterEnv.put(YarnConfigKeys.LOCAL_KEYTAB_PATH, localizedKeytabPath);
String principal = configuration.getString(SecurityOptions.KERBEROS_LOGIN_PRINCIPAL);
appMasterEnv.put(YarnConfigKeys.KEYTAB_PRINCIPAL, principal);
if (remotePathKeytab != null) {
appMasterEnv.put(YarnConfigKeys.REMOTE_KEYTAB_PATH, remotePathKeytab.toString());
}
}
//To support Yarn Secure Integration Test Scenario
if (remoteYarnSiteXmlPath != null) {
appMasterEnv.put(YarnConfigKeys.ENV_YARN_SITE_XML_PATH, remoteYarnSiteXmlPath.toString());
}
if (remoteKrb5Path != null) {
appMasterEnv.put(YarnConfigKeys.ENV_KRB5_PATH, remoteKrb5Path.toString());
}
// set classpath from YARN configuration
Utils.setupYarnClassPath(yarnConfiguration, appMasterEnv);
amContainer.setEnvironment(appMasterEnv);
// Set up resource type requirements for ApplicationMaster
Resource capability = Records.newRecord(Resource.class);
capability.setMemory(clusterSpecification.getMasterMemoryMB());
capability.setVirtualCores(flinkConfiguration.getInteger(YarnConfigOptions.APP_MASTER_VCORES));
final String customApplicationName = customName != null ? customName : applicationName;
appContext.setApplicationName(customApplicationName);
appContext.setApplicationType(applicationType != null ? applicationType : "Apache Flink");
appContext.setAMContainerSpec(amContainer);
appContext.setResource(capability);
// Set priority for application
int priorityNum = flinkConfiguration.getInteger(YarnConfigOptions.APPLICATION_PRIORITY);
if (priorityNum >= 0) {
Priority priority = Priority.newInstance(priorityNum);
appContext.setPriority(priority);
}
if (yarnQueue != null) {
appContext.setQueue(yarnQueue);
}
setApplicationNodeLabel(appContext);
setApplicationTags(appContext);
// add a hook to clean up in case deployment fails
Thread deploymentFailureHook = new DeploymentFailureHook(yarnApplication, fileUploader.getApplicationDir());
Runtime.getRuntime().addShutdownHook(deploymentFailureHook);
LOG.info("Submitting application master " + appId);
yarnClient.submitApplication(appContext);
LOG.info("Waiting for the cluster to be allocated");
final long startTime = System.currentTimeMillis();
ApplicationReport report;
YarnApplicationState lastAppState = YarnApplicationState.NEW;
loop: while (true) {
try {
report = yarnClient.getApplicationReport(appId);
} catch (IOException e) {
throw new YarnDeploymentException("Failed to deploy the cluster.", e);
}
YarnApplicationState appState = report.getYarnApplicationState();
LOG.debug("Application State: {}", appState);
switch(appState) {
case FAILED:
case KILLED:
throw new YarnDeploymentException("The YARN application unexpectedly switched to state "
+ appState + " during deployment. \n" +
"Diagnostics from YARN: " + report.getDiagnostics() + "\n" +
"If log aggregation is enabled on your cluster, use this command to further investigate the issue:\n" +
"yarn logs -applicationId " + appId);
//break ..
case RUNNING:
LOG.info("YARN application has been deployed successfully.");
break loop;
case FINISHED:
LOG.info("YARN application has been finished successfully.");
break loop;
default:
if (appState != lastAppState) {
LOG.info("Deploying cluster, current state " + appState);
}
if (System.currentTimeMillis() - startTime > 60000) {
LOG.info("Deployment took more than 60 seconds. Please check if the requested resources are available in the YARN cluster");
}
}
lastAppState = appState;
Thread.sleep(250);
}
// since deployment was successful, remove the hook
ShutdownHookUtil.removeShutdownHook(deploymentFailureHook, getClass().getSimpleName(), LOG);
return report;
}我们需要在详细分析一下④和⑧，先看④，点击进入
4.YarnClusterDescriptor#setupApplicationMasterContainer
ContainerLaunchContext setupApplicationMasterContainer(
String yarnClusterEntrypoint,
boolean hasKrb5,
JobManagerProcessSpec processSpec) {
// ------------------ Prepare Application Master Container ------------------------------
// respect custom JVM options in the YAML file
String javaOpts = flinkConfiguration.getString(CoreOptions.FLINK_JVM_OPTIONS);
if (flinkConfiguration.getString(CoreOptions.FLINK_JM_JVM_OPTIONS).length() > 0) {
javaOpts += " " + flinkConfiguration.getString(CoreOptions.FLINK_JM_JVM_OPTIONS);
}
//krb5.conf file will be available as local resource in JM/TM container
if (hasKrb5) {
javaOpts += " -Djava.security.krb5.conf=krb5.conf";
}
// Set up the container launch context for the application master
ContainerLaunchContext amContainer = Records.newRecord(ContainerLaunchContext.class);
final Map<String, String> startCommandValues = new HashMap<>();
startCommandValues.put("java", "$JAVA_HOME/bin/java");
String jvmHeapMem = JobManagerProcessUtils.generateJvmParametersStr(processSpec, flinkConfiguration);
startCommandValues.put("jvmmem", jvmHeapMem);
startCommandValues.put("jvmopts", javaOpts);
startCommandValues.put("logging", YarnLogConfigUtil.getLoggingYarnCommand(flinkConfiguration));
startCommandValues.put("class", yarnClusterEntrypoint);
startCommandValues.put("redirects",
"1> " + ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/jobmanager.out " +
"2> " + ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/jobmanager.err");
String dynamicParameterListStr = JobManagerProcessUtils.generateDynamicConfigsStr(processSpec);
startCommandValues.put("args", dynamicParameterListStr);
final String commandTemplate = flinkConfiguration
.getString(ConfigConstants.YARN_CONTAINER_START_COMMAND_TEMPLATE,
ConfigConstants.DEFAULT_YARN_CONTAINER_START_COMMAND_TEMPLATE);
final String amCommand =
BootstrapTools.getStartCommand(commandTemplate, startCommandValues);
amContainer.setCommands(Collections.singletonList(amCommand));
LOG.debug("Application Master start command: " + amCommand);
return amContainer;
}再看⑧
5.YarnClientImpl#submitApplication
public ApplicationId
submitApplication(ApplicationSubmissionContext appContext)
throws YarnException, IOException {
ApplicationId applicationId = appContext.getApplicationId();
if (applicationId == null) {
throw new ApplicationIdNotProvidedException(
"ApplicationId is not provided in ApplicationSubmissionContext");
}
SubmitApplicationRequest request =
Records.newRecord(SubmitApplicationRequest.class);
request.setApplicationSubmissionContext(appContext);
//TODO: YARN-1763:Handle RM failovers during the submitApplication call.
rmClient.submitApplication(request);
int pollCount = 0;
long startTime = System.currentTimeMillis();
while (true) {
try {
YarnApplicationState state =
getApplicationReport(applicationId).getYarnApplicationState();
if (!state.equals(YarnApplicationState.NEW) &&
!state.equals(YarnApplicationState.NEW_SAVING)) {
LOG.info("Submitted application " + applicationId);
break;
}
long elapsedMillis = System.currentTimeMillis() - startTime;
if (enforceAsyncAPITimeout() &&
elapsedMillis >= asyncApiPollTimeoutMillis) {
throw new YarnException("Timed out while waiting for application " +
applicationId + " to be submitted successfully");
}
// Notify the client through the log every 10 poll, in case the client
// is blocked here too long.
if (++pollCount % 10 == 0) {
LOG.info("Application submission is not finished, " +
"submitted application " + applicationId +
" is still in " + state);
}
try {
Thread.sleep(submitPollIntervalMillis);
} catch (InterruptedException ie) {
LOG.error("Interrupted while waiting for application "
+ applicationId
+ " to be successfully submitted.");
}
} catch (ApplicationNotFoundException ex) {
// FailOver or RM restart happens before RMStateStore saves
// ApplicationState
LOG.info("Re-submit application " + applicationId + "with the " +
"same ApplicationSubmissionContext");
rmClient.submitApplication(request);
}
}
return applicationId;
}6.YarnJobClusterEntrypoint#main
public static void main(String[] args) {
// startup checks and logging
EnvironmentInformation.logEnvironmentInfo(LOG, YarnJobClusterEntrypoint.class.getSimpleName(), args);
SignalHandler.register(LOG);
JvmShutdownSafeguard.installAsShutdownHook(LOG);
Map<String, String> env = System.getenv();
final String workingDirectory = env.get(ApplicationConstants.Environment.PWD.key());
Preconditions.checkArgument(
workingDirectory != null,
"Working directory variable (%s) not set",
ApplicationConstants.Environment.PWD.key());
try {
YarnEntrypointUtils.logYarnEnvironmentInformation(env, LOG);
} catch (IOException e) {
LOG.warn("Could not log YARN environment information.", e);
}
final Configuration dynamicParameters = ClusterEntrypointUtils.parseParametersOrExit(
args,
new DynamicParametersConfigurationParserFactory(),
YarnJobClusterEntrypoint.class);
final Configuration configuration = YarnEntrypointUtils.loadConfiguration(workingDirectory, dynamicParameters, env);
YarnJobClusterEntrypoint yarnJobClusterEntrypoint = new YarnJobClusterEntrypoint(configuration);
ClusterEntrypoint.runClusterEntrypoint(yarnJobClusterEntrypoint);
}
从这里开始就启动了YarnJobClusterEntrypoint，更深一步的细节涉及到flink内部的rm、dispatcher和jm的启动就留到后面几期吧！
总览
这一期涉及到的源码流程图如下：
我们下期见！
