AWS 数据管道无法通过无服务器 yaml 模板创建

Question

I was creating data pipeline for dynamo db export to s3. The template given for serverless yaml is not working on "PAY_PER_REQUEST" billing mode

Created one using aws console itr worked fine, exported its definition, tried to create using same definition in serverless but it is giving me following error

ServerlessError: An error occurred: UrlReportDataPipeline - Pipeline Definition failed to validate because of following Errors: [{ObjectId = 'TableBackupActivity', errors = [Object references invalid id: 's3://dynamodb-dpl-#{myDDBRegion}/emr-ddb-storage-handler/4.11.0/emr-dynamodb-tools-4.11.0-SNAPSHOT-jar-with-dependencies.jar,org.apache.hadoop.dynamodb.tools.DynamoDBExport,#{output.directoryPath},#{input.tableName},#{input.readThroughputPercent}']}] and Warnings: [].

谁能帮我解决这个问题。使用控制台创建的管道与 table 备份 activity.

中相同的步骤值完美配合

管道模板粘贴在下方

UrlReportDataPipeline:
      Type: AWS::DataPipeline::Pipeline
      Properties: 
        Name: ***pipeline name****
        Activate: true
        ParameterObjects: 
          - Id: "myDDBReadThroughputRatio"
            Attributes: 
              - Key: "description"
                StringValue: "DynamoDB read throughput ratio"
              - Key: "type"
                StringValue: "Double"
              - Key: "default"
                StringValue: "0.9"
          - Id: "myOutputS3Loc"
            Attributes: 
              - Key: "description"
                StringValue: "S3 output bucket"
              - Key: "type"
                StringValue: "AWS::S3::ObjectKey"
              - Key: "default"
                StringValue: 
                  !Join [ "", [ "s3://", Ref: "UrlReportBucket" ] ]
          - Id: "myDDBTableName"
            Attributes: 
              - Key: "description"
                StringValue: "DynamoDB Table Name"
              - Key: "type"
                StringValue: "String"
          - Id: "myDDBRegion"
            Attributes:
              - Key: "description"
                StringValue: "DynamoDB region"
        ParameterValues: 
          - Id: "myDDBTableName"
            StringValue: 
              Ref: "UrlReport"
          - Id: "myDDBRegion"
            StringValue: "eu-west-1"
        PipelineObjects: 
          - Id: "S3BackupLocation"
            Name: "Copy data to this S3 location"
            Fields: 
              - Key: "type"
                StringValue: "S3DataNode"
              - Key: "dataFormat"
                RefValue: "DDBExportFormat"
              - Key: "directoryPath"
                StringValue: "#{myOutputS3Loc}/#{format(@scheduledStartTime, 'YYYY-MM-dd-HH-mm-ss')}"
          - Id: "DDBSourceTable"
            Name: "DDBSourceTable"
            Fields: 
              - Key: "tableName"
                StringValue: "#{myDDBTableName}"
              - Key: "type"
                StringValue: "DynamoDBDataNode"
              - Key: "dataFormat"
                RefValue: "DDBExportFormat"
              - Key: "readThroughputPercent"
                StringValue: "#{myDDBReadThroughputRatio}"
          - Id: "DDBExportFormat"
            Name: "DDBExportFormat"
            Fields: 
              - Key: "type"
                StringValue: "DynamoDBExportDataFormat"
          - Id: "TableBackupActivity"
            Name: "TableBackupActivity"
            Fields: 
              - Key: "resizeClusterBeforeRunning"
                StringValue: "true"
              - Key: "type"
                StringValue: "EmrActivity"
              - Key: "input"
                RefValue: "DDBSourceTable"
              - Key: "runsOn"
                RefValue: "EmrClusterForBackup"
              - Key: "output"
                RefValue: "S3BackupLocation"
              - Key: "step"
                RefValue: "s3://dynamodb-dpl-#{myDDBRegion}/emr-ddb-storage-handler/4.11.0/emr-dynamodb-tools-4.11.0-SNAPSHOT-jar-with-dependencies.jar,org.apache.hadoop.dynamodb.tools.DynamoDBExport,#{output.directoryPath},#{input.tableName},#{input.readThroughputPercent}"
          - Id: "DefaultSchedule"
            Name: "Every 1 day"
            Fields: 
              - Key: "occurrences"
                StringValue: "1"
              - Key: "startDateTime"
                StringValue: "2020-09-17T1:00:00"
              - Key: "type"
                StringValue: "Schedule"
              - Key: "period"
                StringValue: "1 Day"
          - Id: "Default"
            Name: "Default"
            Fields: 
              - Key: "type"
                StringValue: "Default"
              - Key: "scheduleType"
                StringValue: "cron"
              - Key: "failureAndRerunMode"
                StringValue: "CASCADE"
              - Key: "role"
                StringValue: "DatapipelineDefaultRole"
              - Key: "resourceRole"
                StringValue: "DatapipelineDefaultResourceRole"
              - Key: "schedule"
                RefValue: "DefaultSchedule"
          - Id: "EmrClusterForBackup"
            Name: "EmrClusterForBackup"
            Fields: 
              - Key: "terminateAfter"
                StringValue: "2 Hours"
              - Key: "masterInstanceType"
                StringValue: "m3.xlarge"
              - Key: "coreInstanceType"
                StringValue: "m3.xlarge"
              - Key: "coreInstanceCount"
                StringValue: "1"
              - Key: "type"
                StringValue: "EmrCluster"
              - Key: "releaseLabel"
                StringValue: "emr-5.23.0"
              - Key: "region"
                StringValue: "#{myDDBRegion}"

Answer 1

Step 有一个指向多个资源的 refValue，而且它们看起来也被指定为一个字符串。根据无服务器文档，refValue 是

您指定为同一管道定义中另一个对象的标识符的字段值。

如果您查看使用 S3BackupLocation 的位置，它会在 PipelineObjects 下创建，然后使用其 Id 进行引用。

对于步骤，您使用字符串作为其值的 refValue，该字符串随后带有逗号，因此它看起来像是在指定多个对象。

我不确定要执行哪一步，但如果您想使用 refValue，请在模板中的其他位置创建它并在此处使用它的 ID？

也可以尝试在此处使用字符串值而不是引用值

Answer 2

Guys I solved it with AWS support team. As of Today, following is the yaml code which creates a data-pipleine on on-demand pay-per-request dynamodb tables

You can also convert this to json if you want

    UrlReportBucket:
      Type: AWS::S3::Bucket
      Properties:
        BucketName: ***bucketname***

    UrlReportDataPipeline:
      Type: AWS::DataPipeline::Pipeline
      Properties: 
        Name: ***pipelinename***
        Activate: true
        ParameterObjects: 
          - Id: "myDDBReadThroughputRatio"
            Attributes: 
              - Key: "description"
                StringValue: "DynamoDB read throughput ratio"
              - Key: "type"
                StringValue: "Double"
              - Key: "default"
                StringValue: "0.9"
          - Id: "myOutputS3Loc"
            Attributes: 
              - Key: "description"
                StringValue: "S3 output bucket"
              - Key: "type"
                StringValue: "AWS::S3::ObjectKey"
              - Key: "default"
                StringValue: 
                  !Join [ "", [ "s3://", Ref: "UrlReportBucket" ] ]
          - Id: "myDDBTableName"
            Attributes: 
              - Key: "description"
                StringValue: "DynamoDB Table Name"
              - Key: "type"
                StringValue: "String"
          - Id: "myDDBRegion"
            Attributes:
              - Key: "description"
                StringValue: "DynamoDB region"
        ParameterValues: 
          - Id: "myDDBTableName"
            StringValue: 
              Ref: "UrlReport"
          - Id: "myDDBRegion"
            StringValue: "eu-west-1"
        PipelineObjects: 
          - Id: "S3BackupLocation"
            Name: "Copy data to this S3 location"
            Fields: 
              - Key: "type"
                StringValue: "S3DataNode"
              - Key: "dataFormat"
                RefValue: "DDBExportFormat"
              - Key: "directoryPath"
                StringValue: "#{myOutputS3Loc}/#{format(@scheduledStartTime, 'YYYY-MM-dd-HH-mm-ss')}"
          - Id: "DDBSourceTable"
            Name: "DDBSourceTable"
            Fields: 
              - Key: "tableName"
                StringValue: "#{myDDBTableName}"
              - Key: "type"
                StringValue: "DynamoDBDataNode"
              - Key: "dataFormat"
                RefValue: "DDBExportFormat"
              - Key: "readThroughputPercent"
                StringValue: "#{myDDBReadThroughputRatio}"
          - Id: "DDBExportFormat"
            Name: "DDBExportFormat"
            Fields: 
              - Key: "type"
                StringValue: "DynamoDBExportDataFormat"
          - Id: "TableBackupActivity"
            Name: "TableBackupActivity"
            Fields: 
              - Key: "resizeClusterBeforeRunning"
                StringValue: "true"
              - Key: "type"
                StringValue: "EmrActivity"
              - Key: "input"
                RefValue: "DDBSourceTable"
              - Key: "runsOn"
                RefValue: "EmrClusterForBackup"
              - Key: "output"
                RefValue: "S3BackupLocation"
              - Key: "step"
                StringValue: "s3://dynamodb-dpl-#{myDDBRegion}/emr-ddb-storage-handler/4.11.0/emr-dynamodb-tools-4.11.0-SNAPSHOT-jar-with-dependencies.jar,org.apache.hadoop.dynamodb.tools.DynamoDBExport,#{output.directoryPath},#{myDDBTableName},#{myDDBReadThroughputRatio}"
          - Id: "DefaultSchedule"
            Name: "Every 1 day"
            Fields: 
              - Key: "occurrences"
                StringValue: "1"
              - Key: "startDateTime"
                StringValue: "2020-09-23T1:00:00"
              - Key: "type"
                StringValue: "Schedule"
              - Key: "period"
                StringValue: "1 Day"
          - Id: "Default"
            Name: "Default"
            Fields: 
              - Key: "type"
                StringValue: "Default"
              - Key: "scheduleType"
                StringValue: "cron"
              - Key: "failureAndRerunMode"
                StringValue: "CASCADE"
              - Key: "role"
                StringValue: "DatapipelineDefaultRole"
              - Key: "resourceRole"
                StringValue: "DatapipelineDefaultResourceRole"
              - Key: "schedule"
                RefValue: "DefaultSchedule"
          - Id: "EmrClusterForBackup"
            Name: "EmrClusterForBackup"
            Fields: 
              - Key: "terminateAfter"
                StringValue: "2 Hours"
              - Key: "masterInstanceType"
                StringValue: "m3.xlarge"
              - Key: "coreInstanceType"
                StringValue: "m3.xlarge"
              - Key: "coreInstanceCount"
                StringValue: "1"
              - Key: "type"
                StringValue: "EmrCluster"
              - Key: "releaseLabel"
                StringValue: "emr-5.23.0"
              - Key: "region"
                StringValue: "#{myDDBRegion}"

AWS 数据管道无法通过无服务器 yaml 模板创建

AWS data pipeline unable to create through serverless yaml template

amazon-web-services

amazon-data-pipeline

serverless

aws-data-pipeline