C# (CSharp) Amazon.ElasticMapReduce.Model Namespace

AddInstanceGroups adds an instance group to a running cluster.

Output from an AddInstanceGroups call.

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, see Add More than 256 Steps to a Job Flow in the Amazon EMR Developer's Guide.

A step specifies the location of a JAR file stored either on the master node of the job flow or in Amazon S3. Each step is performed by the main function of the main class of the JAR file. The main class can be specified either in the manifest of the JAR or by using the MainFunction parameter of the step.

Amazon EMR executes each step in the order listed. For a step to be considered complete, the main function must exit with a zero exit code and all Hadoop jobs started while the step was running must have completed and run successfully.

You can only add steps to a job flow that is in one of the following states: STARTING, BOOTSTRAPPING, RUNNING, or WAITING.

The output for the AddJobFlowSteps operation.

Adds tags to an Amazon EMR resource. Tags make it easier to associate clusters in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tagging Amazon EMR Resources .

• "mapr-m3" - launch the job flow using MapR M3 Edition.

• "mapr-m5" - launch the job flow using MapR M5 Edition.

• "mapr" with the user arguments specifying "--edition,m3" or "--edition,m5" - launch the job flow using MapR M3 or M5 Edition, respectively.

Configuration of a bootstrap action.

Reports the configuration of a bootstrap action in a job flow.

The reason that the cluster changed to its current state.

The detailed status of the cluster.

Represents the timeline of the cluster's lifecycle.

An entity describing an executable that runs on a cluster.

Specifies a hardware and software configuration of the EMR cluster. This includes configurations for applications and software bundled with Amazon EMR. The Configuration object is a JSON object which is defined by a classification and a set of properties. Configurations can be nested, so a configuration may have its own Configuration objects listed.

DescribeJobFlows returns a list of job flows that match all of the supplied parameters. The parameters can include a list of job flow IDs, job flow states, and restrictions on job flow creation date and time.

Regardless of supplied parameters, only job flows created within the last two months are returned.

If no parameters are supplied, then job flows matching either of the following criteria are returned:

• Job flows created and completed in the last two weeks
• Job flows created within the last two months that are in one of the following states: RUNNING , WAITING , SHUTTING_DOWN , STARTING

Amazon Elastic MapReduce can return a maximum of 512 job flow descriptions.

Provides more detail about the cluster step.

This output contains the description of the cluster step.

A cluster step consisting of a JAR file whose main function will be executed. The main function submits a job for Hadoop to execute and waits for the job to finish or fail.

Configuration defining a new instance group.

Detailed information about an instance group.

The status change reason details for the instance group.

The details of the instance group status.

The timeline of the instance group lifecycle.

The details of the status change reason for the instance.

The instance status details.

The timeline of the instance lifecycle.

Describes the status of the job flow.

A key value pair.

This output contains the bootstrap actions detail.

Provides all available details about the instance groups in a cluster.

Provides a list of steps for the cluster.

ModifyInstanceGroups modifies the number of nodes and configuration settings of an instance group. The input parameters include the new target instance count for the group and the instance group ID. The call will either succeed or fail atomically.

The following example removes the stack tag with value Prod from a cluster:

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 TRUE , the job flow will transition to the WAITING state rather than shutting down once the steps have completed.

For additional protection, you can set the JobFlowInstancesDetail TerminationProtected parameter to TRUE 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.

A maximum of 256 steps are allowed in each job flow.

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 Add More than 256 Steps to a Job Flow in the Amazon Elastic MapReduce Developer's Guide .

For long running job flows, we recommend that you periodically store your results.

Configuration of the script to run during a bootstrap action.

SetTerminationProtection is used to prevent accidental termination of a job flow and to ensure that in the event of an error, the instances will persist so you can recover any data stored in their ephemeral instance storage.

To terminate a job flow that has been locked by setting SetTerminationProtection to true, you must first unlock the job flow by a subsequent call to SetTerminationProtection in which you set the value to false.

For more information, seeProtecting a Job Flow from Termination in the Amazon EMR Guide.

Sets whether all AWS Identity and Access Management (IAM) users under your account can access the specifed job flows. This action works on running job flows. You can also set the visibility of a job flow when you launch it using the VisibleToAllUsers parameter of RunJobFlow. The SetVisibleToAllUsers action can be called only by an IAM user who created the job flow or the AWS account that owns the job flow.

Specification of a job flow step.

Combines the execution state and configuration of a step.

The details of the step state change reason.

The summary of the cluster step.

The timeline of the cluster step lifecycle.

A key/value pair that contains user-defined metadata that you can associate with an Amazon EMR resource. Tags make it easier to associate clusters in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tagging Amazon EMR Resources .