EMR Serverless Releases 7.1.0 und höher bieten Unterstützung für Job-Resiliency, sodass fehlgeschlagene Jobs automatisch ohne manuelles Eingreifen Ihrerseits wiederholt werden. Ein weiterer Vorteil der Job-
Serverless-EMR-Jobs von Airflow einreichen PDF Der Amazon-Anbieter in Apache Airflow bietet EMR-Serverless-Operatoren. Weitere Informationen zu Operatoren finden Sie unter Amazon EMR Serverless Operators in der Apache Airflow-Dokumentation.
October 23, 2024 Next topic: View jobs in the console Previous topic: Run Spark SQL scripts Need help? Did this page help you? Yes No
This section includes detailed setup steps to get your environment ready to run Spark jobs and then provides step-by-step instructions for submitting a job run with specified parameters. Topics Setting up Amazon EMR on EKS Submit a job run with StartJobRun Using job submitter classification Using...
您有多種方式可以在 Amazon EMR 上與 Flink 互動,例如:透過主控台、ResourceManager 追蹤 UI 上的 Flink 介面,或在命令列。您可以使用其中任何方式將 JAR 檔案提交至 Flink 應用程式。一旦提交 JAR 檔案,它就會變成由 Flink JobManager 管理的作業。JobManager 位於託管 Flink 作業階段 Application Master 常駐程式...
When you submit a job run to an Amazon EMR Serverless job queue, the job run enters theSUBMITTEDstate. A job state's passes fromSUBMITTEDthroughRUNNINGuntil it reachesFAILED,SUCCESS, orCANCELLING. Job runs can have the following states: ...
您可以在type參數設定為 的應用程式上執行 Spark 任務SPARK。任務必須與與 Amazon EMR 發行版本相容的 Spark 版本相容。例如,當您使用 Amazon EMR 6.6.0 版執行任務時,您的任務必須與 Apache Spark 3.2.0 相容。如需每個版本之應用程式版本的相關資訊,請參閱Amazon EMR Serverless 發行版本。
{ "jobsubmitter.logging.image": "YOUR_ECR_IMAGE_URL", "jobsubmitter.logging.request.memory": "200Mi", "jobsubmitter.logging.request.cores": "0.5" } } ], "monitoringConfiguration": { "cloudWatchMonitoringConfiguration": { "logGroupName": "/emr-containers/jobs", "logStreamNamePrefix": "...
EMR Serverless helps you avoid over- or under-provisioning resources for your data processing jobs. EMR Serverless automatically determines the resources that the application needs, gets these resources to process your jobs, and releases the resources when the jobs finish. For use cases where ...
Focus mode Job run data is avilable to view, so you can monitor each job as it passes through the states. To view jobs in the Amazon EMR console, perform the following steps. In the Amazon EMR console lefthand menu, under Amazon EMR on EKS, chooseVirtual clusters. ...