Konfigurasikan EMR kluster Amazon di subnet pribadi - AWS Data Pipeline

AWS Data Pipeline tidak lagi tersedia untuk pelanggan baru. Pelanggan yang sudah ada dari AWS Data Pipeline dapat terus menggunakan layanan seperti biasa. Pelajari selengkapnya

Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.

Konfigurasikan EMR kluster Amazon di subnet pribadi

Contoh ini mencakup konfigurasi yang meluncurkan cluster ke subnet pribadi di file. VPC Untuk informasi selengkapnya, lihat Meluncurkan EMR Cluster Amazon ke VPC dalam Panduan EMR Manajemen Amazon. Konfigurasi ini opsional. Anda dapat menggunakannya dalam setiap alur yang menggunakan objek EmrCluster.

Untuk meluncurkan EMR klaster Amazon di subnet pribadi, tentukan,SubnetId, emrManagedMasterSecurityGroupIdemrManagedSlaveSecurityGroupId, dan serviceAccessSecurityGroupId dalam EmrCluster konfigurasi 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" } }