Mengonfigurasi klaster Amazon EMR di subnet privat

Contoh ini mencakup konfigurasi yang meluncurkan klaster ke subnet privat di VPC. Untuk informasi selengkapnya, lihat Peluncuran Klaster Amazon EMR ke VPC di Panduan Pengelolaan Amazon EMR. Konfigurasi ini opsional. Anda dapat menggunakannya dalam setiap alur yang menggunakan objek EmrCluster.

Untuk meluncurkan klaster Amazon EMR di subnet privat, tentukan SubnetId, emrManagedMasterSecurityGroupId, emrManagedSlaveSecurityGroupId, dan serviceAccessSecurityGroupId di konfigurasi EmrCluster Anda.

{
  "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"
  }
}