Flink提交任务的方法是什么

	public void deploy() throws JobException {
		
        ......
		try {

			......

			final TaskManagerGateway taskManagerGateway = slot.getTaskManagerGateway();

			final ComponentMainThreadExecutor jobMasterMainThreadExecutor =
				vertex.getExecutionGraph().getJobMasterMainThreadExecutor();

			
			CompletableFuture.supplyAsync(() -> taskManagerGateway.submitTask(deployment, rpcTimeout), executor)
				.thenCompose(Function.identity())
				.whenCompleteAsync(
					.....,
					jobMasterMainThreadExecutor);

		}
		catch (Throwable t) {
			......
		}
	}

	public <IN, OUT> void addOperator(
			Integer vertexID,
			@Nullable String slotSharingGroup,
			@Nullable String coLocationGroup,
			StreamOperatorFactory<OUT> operatorFactory,
			TypeInformation<IN> inTypeInfo,
			TypeInformation<OUT> outTypeInfo,
			String operatorName) {
		Class<? extends AbstractInvokable> invokableClass =
				operatorFactory.isStreamSource() ? SourceStreamTask.class : OneInputStreamTask.class;
		addOperator(vertexID, slotSharingGroup, coLocationGroup, operatorFactory, inTypeInfo,
				outTypeInfo, operatorName, invokableClass);
	}

	protected void processInput(MailboxDefaultAction.Controller controller) throws Exception {

		controller.suspendDefaultAction();

		// Against the usual contract of this method, this implementation is not step-wise but blocking instead for
		// compatibility reasons with the current source interface (source functions run as a loop, not in steps).
		sourceThread.setTaskDescription(getName());
		sourceThread.start();
		sourceThread.getCompletionFuture().whenComplete((Void ignore, Throwable sourceThreadThrowable) -> {
			if (isCanceled() && ExceptionUtils.findThrowable(sourceThreadThrowable, InterruptedException.class).isPresent()) {
				mailboxProcessor.reportThrowable(new CancelTaskException(sourceThreadThrowable));
			} else if (!isFinished && sourceThreadThrowable != null) {
				mailboxProcessor.reportThrowable(sourceThreadThrowable);
			} else {
				mailboxProcessor.allActionsCompleted();
			}
		});
	}

	public void run(final Object lockingObject,
			final StreamStatusMaintainer streamStatusMaintainer,
			final Output<StreamRecord<OUT>> collector,
			final OperatorChain<?, ?> operatorChain) throws Exception {

		final TimeCharacteristic timeCharacteristic = getOperatorConfig().getTimeCharacteristic();

		final Configuration configuration = this.getContainingTask().getEnvironment().getTaskManagerInfo().getConfiguration();
		final long latencyTrackingInterval = getExecutionConfig().isLatencyTrackingConfigured()
			? getExecutionConfig().getLatencyTrackingInterval()
			: configuration.getLong(MetricOptions.LATENCY_INTERVAL);

		LatencyMarksEmitter<OUT> latencyEmitter = null;
		if (latencyTrackingInterval > 0) {
			latencyEmitter = new LatencyMarksEmitter<>(
				getProcessingTimeService(),
				collector,
				latencyTrackingInterval,
				this.getOperatorID(),
				getRuntimeContext().getIndexOfThisSubtask());
		}

		final long watermarkInterval = getRuntimeContext().getExecutionConfig().getAutoWatermarkInterval();

		this.ctx = StreamSourceContexts.getSourceContext(
			timeCharacteristic,
			getProcessingTimeService(),
			lockingObject,
			streamStatusMaintainer,
			collector,
			watermarkInterval,
			-1);

		try {
			userFunction.run(ctx);

			// if we get here, then the user function either exited after being done (finite source)
			// or the function was canceled or stopped. For the finite source case, we should emit
			// a final watermark that indicates that we reached the end of event-time, and end inputs
			// of the operator chain
			if (!isCanceledOrStopped()) {
				// in theory, the subclasses of StreamSource may implement the BoundedOneInput interface,
				// so we still need the following call to end the input
				synchronized (lockingObject) {
					operatorChain.endHeadOperatorInput(1);
				}
			}
		} finally {
			if (latencyEmitter != null) {
				latencyEmitter.close();
			}
		}
	}

 environment.addSource(new FlinkKafkaConsumer<String>(......));

	public <OUT> DataStreamSource<OUT> addSource(SourceFunction<OUT> function, String sourceName, TypeInformation<OUT> typeInfo) {

		TypeInformation<OUT> resolvedTypeInfo = getTypeInfo(function, sourceName, SourceFunction.class, typeInfo);

		boolean isParallel = function instanceof ParallelSourceFunction;

		clean(function);

		final StreamSource<OUT, ?> sourceOperator = new StreamSource<>(function);
		return new DataStreamSource<>(this, resolvedTypeInfo, sourceOperator, isParallel, sourceName);
	}