Flink源码阅读之基于Flink1.10的任务提交流程

2020-05-20 本文已影响0人〇白衣卿相〇

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: <no hadoop dependency found>
2020-04-18 11:42:43,502 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint - JVM: Java HotSpot(TM) 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 2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 2020-04-18 11:42:43,503 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 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 2020-04-18 11:42:43,521 INFO org.apache.flink.configuration.GlobalConfiguration 2020-04-18 11:42:43,521 INFO org.apache.flink.configuration.GlobalConfiguration 2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration 2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration 2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration 2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration 2020-04-18 11:42:43,522 INFO org.apache.flink.configuration.GlobalConfiguration 2020-04-18 11:42:43,604 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 2020-04-18 11:42:43,604 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 2020-04-18 11:42:43,658 INFO org.apache.flink.core.fs.FileSystem 2020-04-18 11:42:43,883 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 2020-04-18 11:42:43,894 INFO org.apache.flink.runtime.security.modules.HadoopModuleFactory 2020-04-18 11:42:43,907 INFO org.apache.flink.runtime.security.modules.JaasModule 2020-04-18 11:42:43,911 INFO org.apache.flink.runtime.security.SecurityUtils 2020-04-18 11:42:43,911 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint 2020-04-18 11:42:43,950 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcServiceUtils 2020-04-18 11:42:44,489 INFO akka.event.slf4j.Slf4jLogger 2020-04-18 11:42:44,512 INFO akka.remote.Remoting 2020-04-18 11:42:44,646 INFO akka.remote.Remoting 2020-04-18 11:42:44,759 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcServiceUtils 2020-04-18 11:42:44,774 INFO org.apache.flink.configuration.Configuration 2020-04-18 11:42:44,781 INFO org.apache.flink.runtime.blob.BlobServer 2020-04-18 11:42:44,790 INFO org.apache.flink.runtime.blob.BlobServer 2020-04-18 11:42:44,802 INFO org.apache.flink.runtime.metrics.MetricRegistryImpl 2020-04-18 11:42:44,806 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcServiceUtils 2020-04-18 11:42:44,823 INFO akka.event.slf4j.Slf4jLogger 2020-04-18 11:42:44,826 INFO akka.remote.Remoting 2020-04-18 11:42:44,831 INFO akka.remote.Remoting 2020-04-18 11:42:44,839 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcServiceUtils 2020-04-18 11:42:44,844 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcService 2020-04-18 11:42:44,942 INFO org.apache.flink.runtime.dispatcher.FileArchivedExe 2020-04-18 11:42:44,984 INFO org.apache.flink.configuration.Configuration 2020-04-18 11:42:44,986 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint 2020-04-18 11:42:44,986 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint 2020-04-18 11:42:44,988 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint 2020-04-18 11:42:45,238 INFO org.apache.flink.runtime.webmonitor.WebMonitorUtils 2020-04-18 11:42:45,238 INFO org.apache.flink.runtime.webmonitor.WebMonitorUtils 2020-04-18 11:42:45,421 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint 2020-04-18 11:42:45,422 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint 2020-04-18 11:42:45,422 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint 2020-04-18 11:42:45,433 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcService 2020-04-18 11:42:45,458 INFO org.apache.flink.runtime.dispatcher.runner.SessionD 2020-04-18 11:42:45,459 INFO org.apache.flink.runtime.dispatcher.runner.SessionD 2020-04-18 11:42:45,459 INFO org.apache.flink.runtime.dispatcher.runner.SessionD 2020-04-18 11:42:45,462 INFO org.apache.flink.runtime.resourcemanager.Standalone 2020-04-18 11:42:45,465 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcService 2020-04-18 11:42:45,466 INFO org.apache.flink.runtime.resourcemanager.slotmanage 2020-04-18 11:42:45,858 INFO org.apache.flink.runtime.resourcemanager.Standalone 2020-04-18 11:58:50,389 INFO org.apache.flink.runtime.dispatcher.StandaloneDispatcher 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 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 2020-04-18 11:58:50,420 INFO org.apache.flink.runtime.jobmaster.JobMaster 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 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 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 2020-04-18 11:58:50,499 INFO org.apache.flink.runtime.jobmaster.JobMaster 2020-04-18 11:58:50,512 INFO org.apache.flink.runtime.executiongraph.failover.fl 2020-04-18 11:58:50,512 INFO org.apache.flink.runtime.executiongraph.failover.fl 2020-04-18 11:58:50,512 INFO org.apache.flink.runtime.jobmaster.JobMaster 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 FROM user_behavior
WHERE behavior = 'buy'
GROUP BY TUMBLE(ts, INTERVAL '1' HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae) 2020-04-18 11:58:50,517 INFO org.apache.flink.runtime.jobmaster.JobMaster FROM user_behavior
WHERE behavior = 'buy'
GROUP BY TUMBLE(ts, INTERVAL '1' HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae) 2020-04-18 11:58:50,519 INFO org.apache.flink.runtime.jobmaster.JobMaster 2020-04-18 11:58:50,520 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph FROM user_behavior
WHERE behavior = 'buy'
GROUP BY TUMBLE(ts, INTERVAL '1' HOUR) (eb9e2c44fdcd2f6719188f515ddad7ae) 2020-04-18 11:58:50,529 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph 2020-04-18 11:58:50,529 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph 2020-04-18 11:58:50,649 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph 2020-04-18 11:58:50,785 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - -Dlogback.configurationFile=file:/Users/xxxxxx/Desktop/software/flink-1.10.0/conf/logback.xml
- Program Arguments:
- --configDir
- /Users/xxxxxx/Desktop/software/flink-1.10.0/conf
- --executionMode
- cluster
- 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:::
- --------------------------------------------------------------------------------
- Registered UNIX signal handlers for [TERM, HUP, INT]
- Loading configuration property: jobmanager.rpc.address, localhost
- Loading configuration property: jobmanager.rpc.port, 6123
- Loading configuration property: jobmanager.heap.size, 1024m
- Loading configuration property: taskmanager.memory.process.size, 1568m
- Loading configuration property: taskmanager.numberOfTaskSlots, 10
- Loading configuration property: parallelism.default, 1
- Loading configuration property: jobmanager.execution.failover-strategy, region
- Starting StandaloneSessionClusterEntrypoint.
- Install default filesystem.
- Hadoop is not in the classpath/dependencies. The extended set of supported File Systems via Hadoop is not available.
- Install security context.
- Cannot create Hadoop Security Module because Hadoop cannot be found in the Classpath.
- Jaas file will be created as /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/jaas-8583684339714096047.conf.
- Cannot install HadoopSecurityContext because Hadoop cannot be found in the Classpath.
- Initializing cluster services.
- Trying to start actor system at localhost:6123
- Slf4jLogger started
- Starting remoting
- Remoting started; listening on addresses :[akka.tcp://flink@localhost:6123]
- Actor system started at akka.tcp://flink@localhost:6123
- Config uses fallback configuration key 'jobmanager.rpc.address' instead of key 'rest.address'
- Created BLOB server storage directory /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/blobStore-974c4b61-96f4-4dea-8e45-82b74478dc6a
- Started BLOB server at 0.0.0.0:49811 - max concurrent requests: 50 - max backlog: 1000
- No metrics reporter configured, no metrics will be exposed/reported.
- Trying to start actor system at localhost:0
- Slf4jLogger started
- Starting remoting
- Remoting started; listening on addresses :[akka.tcp://flink-metrics@localhost:49812]
- Actor system started at akka.tcp://flink-metrics@localhost:49812
- Starting RPC endpoint for org.apache.flink.runtime.metrics.dump.MetricQueryService at akka://flink-metrics/user/MetricQueryService .
cutionGraphStore - Initializing FileArchivedExecutionGraphStore: Storage directory /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/executionGraphStore-5064e3ab-a7a4-407f-8897-3fe5b48bb58f, expiration time 3600000, maximum cache size 52428800 bytes.
- Config uses fallback configuration key 'jobmanager.rpc.address' instead of key 'rest.address'
- Upload directory /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/flink-web-1d80c9c1-129b-4f01-a285-e18924776063/flink-web-upload does not exist.
- Created directory /var/folders/2r/lpp1j14x5vx4_fj6n2qdht2w0000gn/T/flink-web-1d80c9c1-129b-4f01-a285-e18924776063/flink-web-upload for file uploads.
- Starting rest endpoint.
- 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
- 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
- Rest endpoint listening at localhost:8081
- http://localhost:8081 was granted leadership with leaderSessionID=00000000-0000-0000-0000-000000000000
- Web frontend listening at http://localhost:8081.
- Starting RPC endpoint for org.apache.flink.runtime.resourcemanager.StandaloneResourceManager at akka://flink/user/resourcemanager .
ispatcherLeaderProcess - Start SessionDispatcherLeaderProcess.
ispatcherLeaderProcess - Recover all persisted job graphs.
ispatcherLeaderProcess - Successfully recovered 0 persisted job graphs.
ResourceManager - ResourceManager akka.tcp://flink@localhost:6123/user/resourcemanager was granted leadership with fencing token 00000000000000000000000000000000
- Starting RPC endpoint for org.apache.flink.runtime.dispatcher.StandaloneDispatcher at akka://flink/user/dispatcher .
r.SlotManagerImpl - Starting the SlotManager.
ResourceManager - Registering TaskManager with ResourceID ddf441898e05993ca96163409ecde9b3 (akka.tcp://flink@127.0.0.1:49813/user/taskmanager_0) at ResourceManager
- Received JobGraph submission eb9e2c44fdcd2f6719188f515ddad7ae (default: SELECT HOUR(TUMBLE_START(ts, INTERVAL '1' HOUR)), COUNT()
- Submitting job eb9e2c44fdcd2f6719188f515ddad7ae (default: SELECT HOUR(TUMBLE_START(ts, INTERVAL '1' HOUR)), COUNT()
- Starting RPC endpoint for org.apache.flink.runtime.jobmaster.JobMaster at akka://flink/user/jobmanager_0 .
- Initializing job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL '1' HOUR)), COUNT()
- Using restart back off time strategy NoRestartBackoffTimeStrategy for default: SELECT HOUR(TUMBLE_START(ts, INTERVAL '1' HOUR)), COUNT()
- Running initialization on master for job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL '1' HOUR)), COUNT()
- Successfully ran initialization on master in 0 ms.
- 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)
ip1.RestartPipelinedRegionStrategy - Start building failover regions.
ip1.RestartPipelinedRegionStrategy - Created 1 failover regions.
- Using failover strategy org.apache.flink.runtime.executiongraph.failover.flip1.RestartPipelinedRegionStrategy@7c9f4190 for default: SELECT HOUR(TUMBLE_START(ts, INTERVAL '1' HOUR)), COUNT()
- JobManager runner for job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL '1' HOUR)), COUNT()
was granted leadership with session id 00000000-0000-0000-0000-000000000000 at akka.tcp://flink@localhost:6123/user/jobmanager_0.
- Starting execution of job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL '1' HOUR)), COUNT()
under job master id 00000000000000000000000000000000.
- Starting scheduling with scheduling strategy [org.apache.flink.runtime.scheduler.strategy.EagerSchedulingStrategy]
- Job default: SELECT HOUR(TUMBLE_START(ts, INTERVAL '1' HOUR)), COUNT()
switched from state CREATED to RUNNING.
- 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.
- GroupWindowAggregate(window=[TumblingGroupWindow('w $, ts, 3600000)], properties=[w$ start, w $end, w$ rowtime, w $proctime], select=[COUNT(*) AS EXPR$ 1, start('w $) AS w$ start, end('w $) AS w$ end, rowtime('w $) AS w$ rowtime, proctime('w $) AS w$ proctime]) -> Calc(select=[(FLAG(HOUR) EXTRACT w $start) AS EXPR$ 0, EXPR $1]) -> SinkConversionToTuple2 -> Sink: SQL Client Stream Collect Sink (1/1) (97aad4ff05ca3033f5ef08084ee4abc9) switched from CREATED to SCHEDULED. 2020-04-18 11:58:50,544 INFO org.apache.flink.runtime.jobmaster.slotpool.SlotPoolImpl - Cannot serve slot request, no ResourceManager connected. Adding as pending request [SlotRequestId{3ca529d11130e8e5e99fb8e4632c4892}] 2020-04-18 11:58:50,552 INFO org.apache.flink.runtime.jobmaster.JobMaster - Connecting to ResourceManager akka.tcp://flink@localhost:6123/user/resourcemanager(00000000000000000000000000000000) 2020-04-18 11:58:50,555 INFO org.apache.flink.runtime.jobmaster.JobMaster - Resolved ResourceManager address, beginning registration 2020-04-18 11:58:50,555 INFO org.apache.flink.runtime.jobmaster.JobMaster - Registration at ResourceManager attempt 1 (timeout=100ms) 2020-04-18 11:58:50,557 INFO org.apache.flink.runtime.resourcemanager.StandaloneResourceManager - Registering job manager 00000000000000000000000000000000@akka.tcp://flink@localhost:6123/user/jobmanager_0 for job eb9e2c44fdcd2f6719188f515ddad7ae. 2020-04-18 11:58:50,562 INFO org.apache.flink.runtime.resourcemanager.StandaloneResourceManager - Registered job manager 00000000000000000000000000000000@akka.tcp://flink@localhost:6123/user/jobmanager_0 for job eb9e2c44fdcd2f6719188f515ddad7ae. 2020-04-18 11:58:50,563 INFO org.apache.flink.runtime.jobmaster.JobMaster - JobManager successfully registered at ResourceManager, leader id: 00000000000000000000000000000000. 2020-04-18 11:58:50,564 INFO org.apache.flink.runtime.jobmaster.slotpool.SlotPoolImpl - Requesting new slot [SlotRequestId{3ca529d11130e8e5e99fb8e4632c4892}] and profile ResourceProfile{UNKNOWN} from resource manager. 2020-04-18 11:58:50,565 INFO org.apache.flink.runtime.resourcemanager.StandaloneResourceManager - Request slot with profile ResourceProfile{UNKNOWN} for job eb9e2c44fdcd2f6719188f515ddad7ae with allocation id 078993c8cd47de2cbf09fa5387b73df7. 2020-04-18 11:58:50,645 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 SCHEDULED to DEPLOYING. 2020-04-18 11:58:50,645 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - Deploying 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) (attempt #0) to ddf441898e05993ca96163409ecde9b3 @ localhost (dataPort=49815) 2020-04-18 11:58:50,649 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - GroupWindowAggregate(window=[TumblingGroupWindow('w$ , ts, 3600000)], properties=[w $start, w$ end, w $rowtime, w$ proctime], select=[COUNT() AS EXPR $1, start('w$ ) AS w $start, end('w$ ) AS w $end, rowtime('w$ ) AS w $rowtime, proctime('w$ ) AS w $proctime]) -> Calc(select=[(FLAG(HOUR) EXTRACT w$ start) AS EXPR $0, EXPR$ 1]) -> SinkConversionToTuple2 -> Sink: SQL Client Stream Collect Sink (1/1) (97aad4ff05ca3033f5ef08084ee4abc9) switched from SCHEDULED to DEPLOYING.
- Deploying GroupWindowAggregate(window=[TumblingGroupWindow('w $, ts, 3600000)], properties=[w$ start, w $end, w$ rowtime, w $proctime], select=[COUNT(*) AS EXPR$ 1, start('w $) AS w$ start, end('w $) AS w$ end, rowtime('w $) AS w$ rowtime, proctime('w $) AS w$ proctime]) -> Calc(select=[(FLAG(HOUR) EXTRACT w $start) AS EXPR$ 0, EXPR $1]) -> SinkConversionToTuple2 -> Sink: SQL Client Stream Collect Sink (1/1) (attempt #0) to ddf441898e05993ca96163409ecde9b3 @ localhost (dataPort=49815) 2020-04-18 11:58:50,784 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - GroupWindowAggregate(window=[TumblingGroupWindow('w$ , ts, 3600000)], properties=[w $start, w$ end, w $rowtime, w$ proctime], select=[COUNT(*) AS EXPR $1, start('w$ ) AS w $start, end('w$ ) AS w $end, rowtime('w$ ) AS w $rowtime, proctime('w$ ) AS w $proctime]) -> Calc(select=[(FLAG(HOUR) EXTRACT w$ start) AS EXPR $0, EXPR$ 1]) -> SinkConversionToTuple2 -> Sink: SQL Client Stream Collect Sink (1/1) (97aad4ff05ca3033f5ef08084ee4abc9) switched from DEPLOYING to RUNNING.
- 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.

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