在私有子網路中設定 Amazon EMR 叢集

此範例包括將叢集啟動至中私有子網路的配置VPC。如需詳細資訊，請參閱 Amazon EMR管理指南VPC中的將 Amazon EMR 叢集啟動到一個。此組態為選擇性。您可以在任何使用 EmrCluster 物件的管道中使用它。

若要在私有子網路中啟動 Amazon EMR 叢集 SubnetIdemrManagedMasterSecurityGroupId，請serviceAccessSecurityGroupId在您的EmrCluster組態中指定emrManagedSlaveSecurityGroupId、、和。

{
  "objects": [
    {
      "output": {
        "ref": "S3BackupLocation"
      },
      "input": {
        "ref": "DDBSourceTable"
      },
      "maximumRetries": "2",
      "name": "TableBackupActivity",
      "step": "s3://dynamodb-emr-#{myDDBRegion}/emr-ddb-storage-handler/2.1.0/emr-ddb-2.1.0.jar,org.apache.hadoop.dynamodb.tools.DynamoDbExport,#{output.directoryPath},#{input.tableName},#{input.readThroughputPercent}",
      "id": "TableBackupActivity",
      "runsOn": {
        "ref": "EmrClusterForBackup"
      },
      "type": "EmrActivity",
      "resizeClusterBeforeRunning": "false"
    },
    {
      "readThroughputPercent": "#{myDDBReadThroughputRatio}",
      "name": "DDBSourceTable",
      "id": "DDBSourceTable",
      "type": "DynamoDBDataNode",
      "tableName": "#{myDDBTableName}"
    },
    {
      "directoryPath": "#{myOutputS3Loc}/#{format(@scheduledStartTime, 'YYYY-MM-dd-HH-mm-ss')}",
      "name": "S3BackupLocation",
      "id": "S3BackupLocation",
      "type": "S3DataNode"
    },
    {
      "name": "EmrClusterForBackup",
      "coreInstanceCount": "1",
      "taskInstanceCount": "1",
      "taskInstanceType": "m4.xlarge",
      "coreInstanceType": "m4.xlarge",
      "releaseLabel": "emr-4.7.0",
      "masterInstanceType": "m4.xlarge",
      "id": "EmrClusterForBackup",
      "subnetId": "#{mySubnetId}",
      "emrManagedMasterSecurityGroupId": "#{myMasterSecurityGroup}",
      "emrManagedSlaveSecurityGroupId": "#{mySlaveSecurityGroup}",
      "serviceAccessSecurityGroupId": "#{myServiceAccessSecurityGroup}",
      "region": "#{myDDBRegion}",
      "type": "EmrCluster",
      "keyPair": "user-key-pair"
    },
    {
      "failureAndRerunMode": "CASCADE",
      "resourceRole": "DataPipelineDefaultResourceRole",
      "role": "DataPipelineDefaultRole",
      "pipelineLogUri": "#{myPipelineLogUri}",
      "scheduleType": "ONDEMAND",
      "name": "Default",
      "id": "Default"
    }
  ],
  "parameters": [
    {
      "description": "Output S3 folder",
      "id": "myOutputS3Loc",
      "type": "AWS::S3::ObjectKey"
    },
    {
      "description": "Source DynamoDB table name",
      "id": "myDDBTableName",
      "type": "String"
    },
    {
      "default": "0.25",
      "watermark": "Enter value between 0.1-1.0",
      "description": "DynamoDB read throughput ratio",
      "id": "myDDBReadThroughputRatio",
      "type": "Double"
    },
    {
      "default": "us-east-1",
      "watermark": "us-east-1",
      "description": "Region of the DynamoDB table",
      "id": "myDDBRegion",
      "type": "String"
    }
  ],
  "values": {
     "myDDBRegion": "us-east-1",
      "myDDBTableName": "ddb_table",
      "myDDBReadThroughputRatio": "0.25",
      "myOutputS3Loc": "s3://s3_path",
      "mySubnetId": "subnet_id",
      "myServiceAccessSecurityGroup":  "service access security group",
      "mySlaveSecurityGroup": "slave security group",
      "myMasterSecurityGroup": "master security group",
      "myPipelineLogUri": "s3://s3_path"
  }
}