Flink源码阅读之基于Flink1.10的任务提交流程
Flink在1.10版本对整个作业提交流程有了较大改动，详情请见FLIP-73。本文基于1.10对作业提交的关键流程进行分析，不深究。
入口： 依旧是main函数最后env.execute();
public JobExecutionResult execute(String jobName) throws Exception {
Preconditions.checkNotNull(jobName, "Streaming Job name should not be null.");
return execute(getStreamGraph(jobName));//构造streamGraph
}
public JobExecutionResult execute(StreamGraph streamGraph) throws Exception {
final JobClient jobClient = executeAsync(streamGraph);//异步执行，返回JobClient对象
//......省略部分代码
}
根据execution.target配置获取对应PipelineExecutorFactory
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.");
final PipelineExecutorFactory executorFactory =
executorServiceLoader.getExecutorFactory(configuration);
checkNotNull(
executorFactory,
"Cannot find compatible factory for specified execution.target (=%s)",
configuration.get(DeploymentOptions.TARGET));
CompletableFuture<JobClient> jobClientFuture = executorFactory
.getExecutor(configuration)//PipelineExecutor
.execute(streamGraph, configuration);
//......
}
PipelineExecutor接口有多种实现，以LocalExecutor为例，Pipeline是一个空接口为了把 StreamGraph(stream 程序) 和 Plan (batch 程序)抽象到一起。
public CompletableFuture<JobClient> execute(Pipeline pipeline, Configuration configuration) throws Exception {
checkNotNull(pipeline);
checkNotNull(configuration);
// we only support attached execution with the local executor.
checkState(configuration.getBoolean(DeploymentOptions.ATTACHED));
final JobGraph jobGraph = getJobGraph(pipeline, configuration);//根据streamGraph生成jobGraph
final MiniCluster miniCluster = startMiniCluster(jobGraph, configuration);//启动MiniCluster （这个启动过程比较复杂，包括启动rpcservice、haservice、taskmanager、resourcemanager等）
final MiniClusterClient clusterClient = new MiniClusterClient(configuration, miniCluster);
CompletableFuture<JobID> jobIdFuture = clusterClient.submitJob(jobGraph);//通过MiniClusterClient提交job
jobIdFuture
.thenCompose(clusterClient::requestJobResult)
.thenAccept((jobResult) -> clusterClient.shutDownCluster());
return jobIdFuture.thenApply(jobID ->
new ClusterClientJobClientAdapter<>(() -> clusterClient, jobID));
}
通过RPC方式提交jobGraph
public CompletableFuture<JobSubmissionResult> submitJob(JobGraph jobGraph) {
//......
final CompletableFuture<Acknowledge> acknowledgeCompletableFuture = jarUploadFuture
.thenCombine(
dispatcherGatewayFuture,
(Void ack, DispatcherGateway dispatcherGateway) -> dispatcherGateway.submitJob(jobGraph, rpcTimeout))
.thenCompose(Function.identity());
//......
}
public CompletableFuture<Acknowledge> submitJob(JobGraph jobGraph, Time timeout) {
//......
return internalSubmitJob(jobGraph);
//.......
}
private CompletableFuture<Acknowledge> internalSubmitJob(JobGraph jobGraph) {
final CompletableFuture<Acknowledge> persistAndRunFuture = waitForTerminatingJobManager(jobGraph.getJobID(), jobGraph, this::persistAndRunJob)
.thenApply(ignored -> Acknowledge.get());
//......
}
private CompletableFuture<Void> persistAndRunJob(JobGraph jobGraph) throws Exception {
jobGraphWriter.putJobGraph(jobGraph);
final CompletableFuture<Void> runJobFuture = runJob(jobGraph);//run job
}
创建JobManagerRunner
private CompletableFuture<Void> runJob(JobGraph jobGraph) {
Preconditions.checkState(!jobManagerRunnerFutures.containsKey(jobGraph.getJobID()));
//创建JobManagerRunner
final CompletableFuture<JobManagerRunner> jobManagerRunnerFuture = createJobManagerRunner(jobGraph);
jobManagerRunnerFutures.put(jobGraph.getJobID(), jobManagerRunnerFuture);
return jobManagerRunnerFuture
.thenApply(FunctionUtils.uncheckedFunction(this::startJobManagerRunner))
.thenApply(FunctionUtils.nullFn())
.whenCompleteAsync(
(ignored, throwable) -> {
if (throwable != null) {
jobManagerRunnerFutures.remove(jobGraph.getJobID());
}
},
getMainThreadExecutor());
}
private JobManagerRunner startJobManagerRunner(JobManagerRunner jobManagerRunner) throws Exception {
//......
jobManagerRunner.start();
//......
}
启动的 JobManagerRunner 会竞争 leader ，一旦被选举为 leader，就会启动一个 JobMaster。
@Override
public void start() throws Exception {
try {
leaderElectionService.start(this);
} catch (Exception e) {
log.error("Could not start the JobManager because the leader election service did not start.", e);
throw new Exception("Could not start the leader election service.", e);
}
}
public void start(LeaderContender contender) throws Exception {
checkNotNull(contender);
addContender(this, contender);//参与leader竞争
}
/**
* Callback from leader contenders when they start their service.
*/
private void addContender(EmbeddedLeaderElectionService service, LeaderContender contender) {
//......
if (!allLeaderContenders.add(service)) {//添加到竞争者集合
throw new IllegalStateException("leader election service was added to this service multiple times");
}
//一旦竞争leader成功，则更新leader
updateLeader().whenComplete((aVoid, throwable) -> {
if (throwable != null) {
fatalError(throwable);
}
});
//.......
}
private CompletableFuture<Void> updateLeader() {
//.......
if (allLeaderContenders.isEmpty()) {
// no new leader available, tell everyone that there is no leader currently
return notifyAllListeners(null, null);
}
else {//上面已经添加了一个竞争者，走else逻辑
// propose a leader and ask it
final UUID leaderSessionId = UUID.randomUUID();//生成leaderSessionId
EmbeddedLeaderElectionService leaderService = allLeaderContenders.iterator().next();
currentLeaderSessionId = leaderSessionId;
currentLeaderProposed = leaderService;
currentLeaderProposed.isLeader = true;
LOG.info("Proposing leadership to contender {}", leaderService.contender.getDescription());
return execute(new GrantLeadershipCall(leaderService.contender, leaderSessionId, LOG));//启动一个线程
}
}
private static class GrantLeadershipCall implements Runnable {
public void run() {
try {
contender.grantLeadership(leaderSessionId);
}
catch (Throwable t) {
logger.warn("Error granting leadership to contender", t);
contender.handleError(t instanceof Exception ? (Exception) t : new Exception(t));
}
}
}
public void grantLeadership(final UUID leaderSessionID) {
synchronized (lock) {
if (shutdown) {
log.info("JobManagerRunner already shutdown.");
return;
}
leadershipOperation = leadershipOperation.thenCompose(
(ignored) -> {
synchronized (lock) {
return verifyJobSchedulingStatusAndStartJobManager(leaderSessionID);//启动jobManager
}
});
handleException(leadershipOperation, "Could not start the job manager.");
}
}
private CompletableFuture<Void> verifyJobSchedulingStatusAndStartJobManager(UUID leaderSessionId) {
final CompletableFuture<JobSchedulingStatus> jobSchedulingStatusFuture = getJobSchedulingStatus();
return jobSchedulingStatusFuture.thenCompose(
jobSchedulingStatus -> {
if (jobSchedulingStatus == JobSchedulingStatus.DONE) {
return jobAlreadyDone();
} else {
return startJobMaster(leaderSessionId);
}
});
}
private CompletionStage<Void> startJobMaster(UUID leaderSessionId) {
log.info("JobManager runner for job {} ({}) was granted leadership with session id {} at {}.",
jobGraph.getName(), jobGraph.getJobID(), leaderSessionId, jobMasterService.getAddress());
try {
runningJobsRegistry.setJobRunning(jobGraph.getJobID());
} catch (IOException e) {
return FutureUtils.completedExceptionally(
new FlinkException(
String.format("Failed to set the job %s to running in the running jobs registry.", jobGraph.getJobID()),
e));
}
final CompletableFuture<Acknowledge> startFuture;
try {
startFuture = jobMasterService.start(new JobMasterId(leaderSessionId));//启动 JobMaster
} catch (Exception e) {
return FutureUtils.completedExceptionally(new FlinkException("Failed to start the JobMaster.", e));
}
final CompletableFuture<JobMasterGateway> currentLeaderGatewayFuture = leaderGatewayFuture;
return startFuture.thenAcceptAsync(
(Acknowledge ack) -> confirmLeaderSessionIdIfStillLeader(
leaderSessionId,
jobMasterService.getAddress(),
currentLeaderGatewayFuture),
executor);
}
JobMaster启动之后会和ResourceManager通信
public CompletableFuture<Acknowledge> start(final JobMasterId newJobMasterId) throws Exception {
// make sure we receive RPC and async calls
start();
return callAsyncWithoutFencing(() -> startJobExecution(newJobMasterId), RpcUtils.INF_TIMEOUT);
}
private Acknowledge startJobExecution(JobMasterId newJobMasterId) throws Exception {
//.......
startJobMasterServices();
resetAndStartScheduler();//这里开始正式的任务调度过程了
//......
}
private void startJobMasterServices() throws Exception {
startHeartbeatServices();
// start the slot pool make sure the slot pool now accepts messages for this leader
slotPool.start(getFencingToken(), getAddress(), getMainThreadExecutor());
scheduler.start(getMainThreadExecutor());
//TODO: Remove once the ZooKeeperLeaderRetrieval returns the stored address upon start
// try to reconnect to previously known leader
reconnectToResourceManager(new FlinkException("Starting JobMaster component."));//和ResourceManager建立连接
// job is ready to go, try to establish connection with resource manager
// - activate leader retrieval for the resource manager
// - on notification of the leader, the connection will be established and
// the slot pool will start requesting slots
resourceManagerLeaderRetriever.start(new ResourceManagerLeaderListener());
}
之后就是任务的调度过程了，下次再说。
总结： 本文主要分析了flink job提交的流程。从streamgraph、jobgraph生成，启动MiniCluster，通过RPC把jobGraph提交给Dispacher，然后启动jobMaster竞争leader并和ResourceManager建立通信。
附上一段FlinkSQL任务的日志，可以看到任务提交的大概流程
2020-04-18 11:42:43,500 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - --------------------------------------------------------------------------------
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Starting StandaloneSessionClusterEntrypoint (Version: 1.10.0, Rev:aa4eb8f, Date:07.02.2020 @ 19:18:19 CET)
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - OS current user: xxxxxx
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Current Hadoop/Kerberos user:
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - JVM: Java HotSpot™ 64-Bit Server VM - Oracle Corporation - 1.8/25.241-b07
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Maximum heap size: 981 MiBytes
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - JAVA_OME: (not set)
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - No HadHoop Dependency available
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - JVM Options:
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - -Xms1024m
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - -Xmx1024m
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - -Dlog.file=/Users/xxxxxx/Desktop/software/flink-1.10.0/log/flink-xxxxxx-standalonesession-0-xxxxxxdeMacBook-Pro.local.log
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - -Dlog4j.configuration=file:/Users/xxxxxx/Desktop/software/flink-1.10.0/conf/log4j.properties
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - -Dlogback.configurationFile=file:/Users/xxxxxx/Desktop/software/flink-1.10.0/conf/logback.xml
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Program Arguments:
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - --configDir
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - /Users/xxxxxx/Desktop/software/flink-1.10.0/conf
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - --executionMode
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - cluster
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Classpath: /Users/xxxxxx/Desktop/software/flink-1.10.0/lib/flink-jdbc_2.11-1.10.0.jar:/Users/xxxxxx/Desktop/software/flink-1.10.0/lib/flink-json-1.10.0.jar:/Users/xxxxxx/Desktop/software/flink-1.10.0/lib/flink-sql-connector-elasticsearch6_2.11-1.10.0.jar:/Users/xxxxxx/Desktop/software/flink-1.10.0/lib/flink-sql-connector-kafka_2.11-1.10.0.jar:/Users/xxxxxx/Desktop/software/flink-1.10.0/lib/flink-table-blink_2.11-1.10.0.jar:/Users/xxxxxx/Desktop/software/flink-1.10.0/lib/flink-table_2.11-1.10.0.jar:/Users/xxxxxx/Desktop/software/flink-1.10.0/lib/log4j-1.2.17.jar:/Users/xxxxxx/Desktop/software/flink-1.10.0/lib/mysql-connector-java-5.1.48.jar:/Users/xxxxxx/Desktop/software/flink-1.10.0/lib/slf4j-log4j12-1.7.15.jar:/Users/xxxxxx/Desktop/software/flink-1.10.0/lib/flink-dist_2.11-1.10.0.jar:::
2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - --------------------------------------------------------------------------------
2020-04-18 11:42:43,505 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Registered UNIX signal handlers for [TERM, HUP, INT]
2020-04-18 11:42:43,521 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: jobmanager.rpc.address, localhost
2020-04-18 11:42:43,521 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: jobmanager.rpc.port, 6123
2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: jobmanager.heap.size, 1024m
2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: taskmanager.memory.process.size, 1568m
2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: taskmanager.numberOfTaskSlots, 10
2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: parallelism.default, 1
2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration - Loading configuration property: jobmanager.execution.failover-strategy, region
2020-04-18 11:42:43,604 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Starting StandaloneSessionClusterEntrypoint.
2020-04-18 11:42:43,604 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Install default filesystem.
2020-04-18 11:42:43,658 INFO org.apache.flink.core.fs.FileSystem - Hadoop is not in the classpath/dependencies. The extended set of supported File Systems via Hadoop is not available.
2020-04-18 11:42:43,883 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Install security context.
2020-04-18 11:42:43,894 INFO org.apache.flink.runtime.security.modules.HadoopModuleFactory - Cannot create Hadoop Security Module because Hadoop cannot be found in the Classpath.
2020-04-18 11:42:43,907 INFO org.apache.flink.runtime.security.modules.JaasModule - Jaas file will be created as /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/jaas-8583684339714096047.conf.
2020-04-18 11:42:43,911 INFO org.apache.flink.runtime.security.SecurityUtils - Cannot install HadoopSecurityContext because Hadoop cannot be found in the Classpath.
2020-04-18 11:42:43,911 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - Initializing cluster services.
2020-04-18 11:42:43,950 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcServiceUtils - Trying to start actor system at localhost:6123
2020-04-18 11:42:44,489 INFO akka.event.slf4j.Slf4jLogger - Slf4jLogger started
2020-04-18 11:42:44,512 INFO akka.remote.Remoting - Starting remoting
2020-04-18 11:42:44,646 INFO akka.remote.Remoting - Remoting started; listening on addresses :[akka.tcp://flink@localhost:6123]
2020-04-18 11:42:44,759 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcServiceUtils - Actor system started at akka.tcp://flink@localhost:6123
2020-04-18 11:42:44,774 INFO org.apache.flink.configuration.Configuration - Config uses fallback configuration key ‘jobmanager.rpc.address’ instead of key ‘rest.address’
2020-04-18 11:42:44,781 INFO org.apache.flink.runtime.blob.BlobServer - Created BLOB server storage directory /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/blobStore-974c4b61-96f4-4dea-8e45-82b74478dc6a
2020-04-18 11:42:44,790 INFO org.apache.flink.runtime.blob.BlobServer - Started BLOB server at 0.0.0.0:49811 - max concurrent requests: 50 - max backlog: 1000
2020-04-18 11:42:44,802 INFO org.apache.flink.runtime.metrics.MetricRegistryImpl - No metrics reporter configured, no metrics will be exposed/reported.
2020-04-18 11:42:44,806 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcServiceUtils - Trying to start actor system at localhost:0
2020-04-18 11:42:44,823 INFO akka.event.slf4j.Slf4jLogger - Slf4jLogger started
2020-04-18 11:42:44,826 INFO akka.remote.Remoting - Starting remoting
2020-04-18 11:42:44,831 INFO akka.remote.Remoting - Remoting started; listening on addresses :[akka.tcp://flink-metrics@localhost:49812]
2020-04-18 11:42:44,839 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcServiceUtils - Actor system started at akka.tcp://flink-metrics@localhost:49812
2020-04-18 11:42:44,844 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcService - Starting RPC endpoint for org.apache.flink.runtime.metrics.dump.MetricQueryService at akka://flink-metrics/user/MetricQueryService .
2020-04-18 11:42:44,942 INFO org.apache.flink.runtime.dispatcher.FileArchivedExecutionGraphStore - Initializing FileArchivedExecutionGraphStore: Storage directory /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/executionGraphStore-5064e3ab-a7a4-407f-8897-3fe5b48bb58f, expiration time 3600000, maximum cache size 52428800 bytes.
2020-04-18 11:42:44,984 INFO org.apache.flink.configuration.Configuration - Config uses fallback configuration key ‘jobmanager.rpc.address’ instead of key ‘rest.address’
2020-04-18 11:42:44,986 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint - Upload directory /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/flink-web-1d80c9c1-129b-4f01-a285-e18924776063/flink-web-upload does not exist.
2020-04-18 11:42:44,986 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint - Created directory /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/flink-web-1d80c9c1-129b-4f01-a285-e18924776063/flink-web-upload for file uploads.
2020-04-18 11:42:44,988 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint - Starting rest endpoint.
2020-04-18 11:42:45,238 INFO org.apache.flink.runtime.webmonitor.WebMonitorUtils - Determined location of main cluster component log file: /Users/xxxxxx/Desktop/software/flink-1.10.0/log/flink-xxxxxx-standalonesession-0-xxxxxxdeMacBook-Pro.local.log
2020-04-18 11:42:45,238 INFO org.apache.flink.runtime.webmonitor.WebMonitorUtils - Determined location of main cluster component stdout file: /Users/xxxxxx/Desktop/software/flink-1.10.0/log/flink-xxxxxx-standalonesession-0-xxxxxxdeMacBook-Pro.local.out
2020-04-18 11:42:45,421 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint - Rest endpoint listening at localhost:8081
2020-04-18 11:42:45,422 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint - http://localhost:8081 was granted leadership with leaderSessionID=00000000-0000-0000-0000-000000000000
2020-04-18 11:42:45,422 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint - Web frontend listening at http://localhost:8081.
2020-04-18 11:42:45,433 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcService - Starting RPC endpoint for org.apache.flink.runtime.resourcemanager.StandaloneResourceManager at akka://flink/user/resourcemanager .
2020-04-18 11:42:45,458 INFO org.apache.flink.runtime.dispatcher.runner.SessionDispatcherLeaderProcess - Start SessionDispatcherLeaderProcess.
2020-04-18 11:42:45,459 INFO org.apache.flink.runtime.dispatcher.runner.SessionDispatcherLeaderProcess - Recover all persisted job graphs.
2020-04-18 11:42:45,459 INFO org.apache.flink.runtime.dispatcher.runner.SessionDispatcherLeaderProcess - Successfully recovered 0 persisted job graphs.
2020-04-18 11:42:45,462 INFO org.apache.flink.runtime.resourcemanager.StandaloneResourceManager - ResourceManager akka.tcp://flink@localhost:6123/user/resourcemanager was granted leadership with fencing token 00000000000000000000000000000000
2020-04-18 11:42:45,465 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcService - Starting RPC endpoint for org.apache.flink.runtime.dispatcher.StandaloneDispatcher at akka://flink/user/dispatcher .
2020-04-18 11:42:45,466 INFO org.apache.flink.runtime.resourcemanager.slotmanager.SlotManagerImpl - Starting the SlotManager.
2020-04-18 11:42:45,858 INFO org.apache.flink.runtime.resourcemanager.StandaloneResourceManager - Registering TaskManager with ResourceID ddf441898e05993ca96163409ecde9b3 (akka.tcp://[email protected]:49813/user/taskmanager_0) at ResourceManager
2020-04-18 11:58:50,389 INFO org.apache.flink.runtime.dispatcher.StandaloneDispatcher - Received JobGraph submission eb9e2c44fdcd2f6719188f515ddad7ae (default: SELECT HOUR(TUMBLE_START(ts, INTERVAL ‘1’ HOUR)), COUNT()
FROM user_behavior
WHERE behavior = ‘buy’
GROUP BY TUMBLE(ts, INTERVAL ‘1’ HOUR)).
2020-04-18 11:58:50,390 INFO org.apache.flink.runtime.dispatcher.StandaloneDispatcher - Submitting job eb9e2c44fdcd2f6719188f515ddad7ae (default: SELECT HOUR(TUMBLE_START(ts, INTERVAL ‘1’ HOUR)), COUNT()
FROM user_behavior
WHERE behavior = ‘buy’
GROUP BY TUMBLE(ts, INTERVAL ‘1’ HOUR)).
2020-04-18 11:58:50,411 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcService - Starting RPC endpoint for org.apache.flink.runtime.jobmaster.JobMaster at akka://flink/user/jobmanager_0 .
2020-04-18 11:58:50,420 INFO org.apache.flink.runtime.jobmaster.JobMaster - Initializing job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL ‘1’ HOUR)), COUNT()
FROM user_behavior
WHERE behavior = ‘buy’
GROUP BY TUMBLE(ts, INTERVAL ‘1’ HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae).
2020-04-18 11:58:50,436 INFO org.apache.flink.runtime.jobmaster.JobMaster - Using restart back off time strategy NoRestartBackoffTimeStrategy for default: SELECT HOUR(TUMBLE_START(ts, INTERVAL ‘1’ HOUR)), COUNT()
FROM user_behavior
WHERE behavior = ‘buy’
GROUP BY TUMBLE(ts, INTERVAL ‘1’ HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae).
2020-04-18 11:58:50,468 INFO org.apache.flink.runtime.jobmaster.JobMaster - Running initialization on master for job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL ‘1’ HOUR)), COUNT()
FROM user_behavior
WHERE behavior = ‘buy’
GROUP BY TUMBLE(ts, INTERVAL ‘1’ HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae).
2020-04-18 11:58:50,468 INFO org.apache.flink.runtime.jobmaster.JobMaster - Successfully ran initialization on master in 0 ms.
2020-04-18 11:58:50,499 INFO org.apache.flink.runtime.jobmaster.JobMaster - No state backend has been configured, using default (Memory / JobManager) MemoryStateBackend (data in heap memory / checkpoints to JobManager) (checkpoints: ‘null’, savepoints: ‘null’, asynchronous: TRUE, maxStateSize: 5242880)
2020-04-18 11:58:50,512 INFO org.apache.flink.runtime.executiongraph.failover.flip1.RestartPipelinedRegionStrategy - Start building failover regions.
2020-04-18 11:58:50,512 INFO org.apache.flink.runtime.executiongraph.failover.flip1.RestartPipelinedRegionStrategy - Created 1 failover regions.
2020-04-18 11:58:50,512 INFO org.apache.flink.runtime.jobmaster.JobMaster - Using failover strategy org.apache.flink.runtime.executiongraph.failover.flip1.RestartPipelinedRegionStrategy@7c9f4190 for default: SELECT HOUR(TUMBLE_START(ts, INTERVAL ‘1’ HOUR)), COUNT()
FROM user_behavior
WHERE behavior = ‘buy’
GROUP BY TUMBLE(ts, INTERVAL ‘1’ HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae).
2020-04-18 11:58:50,515 INFO org.apache.flink.runtime.jobmaster.JobManagerRunnerImpl - JobManager runner for job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL ‘1’ HOUR)), COUNT()
FROM user_behavior
WHERE behavior = ‘buy’
GROUP BY TUMBLE(ts, INTERVAL ‘1’ HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae) was granted leadership with session id 00000000-0000-0000-0000-000000000000 at akka.tcp://flink@localhost:6123/user/jobmanager_0.
2020-04-18 11:58:50,517 INFO org.apache.flink.runtime.jobmaster.JobMaster - Starting execution of job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL ‘1’ HOUR)), COUNT()
FROM user_behavior
WHERE behavior = ‘buy’
GROUP BY TUMBLE(ts, INTERVAL ‘1’ HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae) under job master id 00000000000000000000000000000000.
2020-04-18 11:58:50,519 INFO org.apache.flink.runtime.jobmaster.JobMaster - Starting scheduling with scheduling strategy [org.apache.flink.runtime.scheduler.strategy.EagerSchedulingStrategy]
2020-04-18 11:58:50,520 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - Job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL ‘1’ HOUR)), COUNT()
FROM user_behavior
WHERE behavior = ‘buy’
GROUP BY TUMBLE(ts, INTERVAL ‘1’ HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae) switched from state CREATED to RUNNING.
2020-04-18 11:58:50,529 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - Source: KafkaTableSource(user_id, item_id, category_id, behavior, ts) -> SourceConversion(table=[default_catalog.default_database.user_behavior, source: [KafkaTableSource(user_id, item_id, category_id, behavior, ts)]], fields=[user_id, item_id, category_id, behavior, ts]) -> Calc(select=[user_id, item_id, category_id, behavior, ts, () AS proctime]) -> WatermarkAssigner(rowtime=[ts], watermark=[(ts - 5000:INTERVAL SECOND)]) -> Calc(select=[ts], where=[(behavior = _UTF-16LE’buy’:VARCHAR(2147483647) CHARACTER SET “UTF-16LE”)]) (1/1) (dab698f7e11df09032d07bec79d8dffd) switched from CREATED to SCHEDULED.
2020-04-18 11:58:50,529 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - GroupWindowAggregate(window=[TumblingGroupWindow('w , t s , 3600000 ) ] , p r o p e r t i e s = [ w , ts, 3600000)], properties=[w ,ts,3600000)],properties=[wstart, w e n d , w end, w end,wrowtime, w$proctime], select=[COUNT() AS EXPR 1 , s t a r t ( ′ w 1, start('w 1,start(′w) AS w s t a r t , e n d ( ′ w start, end('w start,end(′w) AS w e n d , r o w t i m e ( ′ w end, rowtime('w end,rowtime(′w) AS w r o w t i m e , p r o c t i m e ( ′ w rowtime, proctime('w rowtime,proctime(′w) AS w p r o c t i m e ] ) − > C a l c ( s e l e c t = [ ( F L A G ( H O U R ) E X T R A C T w proctime]) -> Calc(select=[(FLAG(HOUR) EXTRACT w proctime])−>Calc(select=[(FLAG(HOUR)EXTRACTwstart) AS EXPR$0, EXPRKaTeX parse error: Expected 'EOF', got '#' at position 3401: …(1/1) (attempt #̲0) to ddf441898…, ts, 3600000)], properties=[w s t a r t , w start, w start,wend, w r o w t i m e , w rowtime, w rowtime,wproctime], select=[COUNT() AS EXPR 1 , s t a r t ( ′ w 1, start('w 1,start(′w) AS w s t a r t , e n d ( ′ w start, end('w start,end(′w) AS w e n d , r o w t i m e ( ′ w end, rowtime('w end,rowtime(′w) AS w r o w t i m e , p r o c t i m e ( ′ w rowtime, proctime('w rowtime,proctime(′w) AS w p r o c t i m e ] ) − > C a l c ( s e l e c t = [ ( F L A G ( H O U R ) E X T R A C T w proctime]) -> Calc(select=[(FLAG(HOUR) EXTRACT w proctime])−>Calc(select=[(FLAG(HOUR)EXTRACTwstart) AS EXPR$0, EXPR 1 ] ) − > S i n k C o n v e r s i o n T o T u p l e 2 − > S i n k : S Q L C l i e n t S t r e a m C o l l e c t S i n k ( 1 / 1 ) ( 97 a a d 4 f f 05 c a 3033 f 5 e f 08084 e e 4 a b c 9 ) s w i t c h e d f r o m S C H E D U L E D t o D E P L O Y I N G . 2020 − 04 − 1811 : 58 : 50 , 649 I N F O o r g . a p a c h e . f l i n k . r u n t i m e . e x e c u t i o n g r a p h . E x e c u t i o n G r a p h − D e p l o y i n g G r o u p W i n d o w A g g r e g a t e ( w i n d o w = [ T u m b l i n g G r o u p W i n d o w ( ′ w 1]) -> SinkConversionToTuple2 -> Sink: SQL Client Stream Collect Sink (1/1) (97aad4ff05ca3033f5ef08084ee4abc9) switched from SCHEDULED to DEPLOYING. 2020-04-18 11:58:50,649 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - Deploying GroupWindowAggregate(window=[TumblingGroupWindow('w 1])−>SinkConversionToTuple2−>Sink:SQLClientStreamCollectSink(1/1)(97aad4ff05ca3033f5ef08084ee4abc9)switchedfromSCHEDULEDtoDEPLOYING.2020−04−1811:58:50,649INFOorg.apache.flink.runtime.executiongraph.ExecutionGraph−DeployingGroupWindowAggregate(window=[TumblingGroupWindow(′w, ts, 3600000)], properties=[w s t a r t , w start, w start,wend, w r o w t i m e , w rowtime, w rowtime,wproctime], select=[COUNT() AS EXPR 1 , s t a r t ( ′ w 1, start('w 1,start(′w) AS w s t a r t , e n d ( ′ w start, end('w start,end(′w) AS w e n d , r o w t i m e ( ′ w end, rowtime('w end,rowtime(′w) AS w r o w t i m e , p r o c t i m e ( ′ w rowtime, proctime('w rowtime,proctime(′w) AS w p r o c t i m e ] ) − > C a l c ( s e l e c t = [ ( F L A G ( H O U R ) E X T R A C T w proctime]) -> Calc(select=[(FLAG(HOUR) EXTRACT w proctime])−>Calc(select=[(FLAG(HOUR)EXTRACTwstart) AS EXPR$0, EXPRKaTeX parse error: Expected 'EOF', got '#' at position 86: …(1/1) (attempt #̲0) to ddf441898…, ts, 3600000)], properties=[w s t a r t , w start, w start,wend, w r o w t i m e , w rowtime, w rowtime,wproctime], select=[COUNT(*) AS EXPR 1 , s t a r t ( ′ w 1, start('w 1,start(′w) AS w s t a r t , e n d ( ′ w start, end('w start,end(′w) AS w e n d , r o w t i m e ( ′ w end, rowtime('w end,rowtime(′w) AS w r o w t i m e , p r o c t i m e ( ′ w rowtime, proctime('w rowtime,proctime(′w) AS w p r o c t i m e ] ) − > C a l c ( s e l e c t = [ ( F L A G ( H O U R ) E X T R A C T w proctime]) -> Calc(select=[(FLAG(HOUR) EXTRACT w proctime])−>Calc(select=[(FLAG(HOUR)EXTRACTwstart) AS EXPR$0, EXPR$1]) -> SinkConversionToTuple2 -> Sink: SQL Client Stream Collect Sink (1/1) (97aad4ff05ca3033f5ef08084ee4abc9) switched from DEPLOYING to RUNNING.
2020-04-18 11:58:50,785 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - Source: KafkaTableSource(user_id, item_id, category_id, behavior, ts) -> SourceConversion(table=[default_catalog.default_database.user_behavior, source: [KafkaTableSource(user_id, item_id, category_id, behavior, ts)]], fields=[user_id, item_id, category_id, behavior, ts]) -> Calc(select=[user_id, item_id, category_id, behavior, ts, () AS proctime]) -> WatermarkAssigner(rowtime=[ts], watermark=[(ts - 5000:INTERVAL SECOND)]) -> Calc(select=[ts], where=[(behavior = _UTF-16LE’buy’:VARCHAR(2147483647) CHARACTER SET “UTF-16LE”)]) (1/1) (dab698f7e11df09032d07bec79d8dffd) switched from DEPLOYING to RUNNING.