/// <summary>
/// <para> RunJobFlow creates and starts running a new job flow. The job flow will run the steps specified. Once the job flow completes, the
/// cluster is stopped and the HDFS partition is lost. To prevent loss of data, configure the last step of the job flow to store results in
/// Amazon S3. If the JobFlowInstancesConfig <c>KeepJobFlowAliveWhenNoSteps</c> parameter is set to <c>TRUE</c> , the job flow will transition
/// to the WAITING state rather than shutting down once the steps have completed. </para> <para>For additional protection, you can set the
/// JobFlowInstancesConfig <c>TerminationProtected</c> parameter to <c>TRUE</c> to lock the job flow and prevent it from being terminated by API
/// call, user intervention, or in the event of a job flow error.</para> <para>A maximum of 256 steps are allowed in each job flow.</para>
/// <para>If your job flow is long-running (such as a Hive data warehouse) or complex, you may require more than 256 steps to process your data.
/// You can bypass the 256-step limitation in various ways, including using the SSH shell to connect to the master node and submitting queries
/// directly to the software running on the master node, such as Hive and Hadoop. For more information on how to do this, go to <a href="http://docs.aws.amazon.com/ElasticMapReduce/latest/DeveloperGuide/AddMoreThan256Steps.html">Add More than 256 Steps to a Job Flow</a>
/// in the <i>Amazon Elastic MapReduce Developer's Guide</i> .</para> <para>For long running job flows, we recommend that you periodically store
/// your results.</para>
/// </summary>
///
/// <param name="runJobFlowRequest">Container for the necessary parameters to execute the RunJobFlow service method on
/// AmazonElasticMapReduce.</param>
///
/// <returns>The response from the RunJobFlow service method, as returned by AmazonElasticMapReduce.</returns>
///
/// <exception cref="T:Amazon.ElasticMapReduce.Model.InternalServerErrorException" />
/// <param name="cancellationToken">
/// A cancellation token that can be used by other objects or threads to receive notice of cancellation.
/// </param>
public Task <RunJobFlowResponse> RunJobFlowAsync(RunJobFlowRequest runJobFlowRequest, CancellationToken cancellationToken = default(CancellationToken))
{
var marshaller = new RunJobFlowRequestMarshaller();
var unmarshaller = RunJobFlowResponseUnmarshaller.GetInstance();
return(Invoke <IRequest, RunJobFlowRequest, RunJobFlowResponse>(runJobFlowRequest, marshaller, unmarshaller, signer, cancellationToken));
}
IAsyncResult invokeRunJobFlow(RunJobFlowRequest runJobFlowRequest, AsyncCallback callback, object state, bool synchronized)
{
IRequest irequest = new RunJobFlowRequestMarshaller().Marshall(runJobFlowRequest);
var unmarshaller = RunJobFlowResponseUnmarshaller.GetInstance();
AsyncResult result = new AsyncResult(irequest, callback, state, synchronized, signer, unmarshaller);
Invoke(result);
return(result);
}
/// <summary>
/// <para> RunJobFlow creates and starts running a new job flow. The job
/// flow will run the steps specified. Once the job flow completes, the
/// cluster is stopped and the HDFS partition is lost. To prevent loss of
/// data, configure the last step of the job flow to store results in
/// Amazon S3. If the JobFlowInstancesDetail : KeepJobFlowAliveWhenNoSteps
/// parameter is set to <c>TRUE</c> , the job flow will transition to the
/// WAITING state rather than shutting down once the steps have completed.
/// </para> <para>A maximum of 256 steps are allowed in each job
/// flow.</para> <para>For long running job flows, we recommended that you
/// periodically store your results.</para>
/// </summary>
///
/// <param name="runJobFlowRequest">Container for the necessary parameters
/// to execute the RunJobFlow service method on
/// AmazonElasticMapReduce.</param>
///
/// <returns>The response from the RunJobFlow service method, as returned
/// by AmazonElasticMapReduce.</returns>
///
/// <exception cref="InternalServerErrorException"/>
public RunJobFlowResponse RunJobFlow(RunJobFlowRequest runJobFlowRequest)
{
IRequest <RunJobFlowRequest> request = new RunJobFlowRequestMarshaller().Marshall(runJobFlowRequest);
RunJobFlowResponse response = Invoke <RunJobFlowRequest, RunJobFlowResponse> (request, this.signer, RunJobFlowResponseUnmarshaller.GetInstance());
return(response);
}