Cloud Run Functions는 서버 또는 런타임 환경을 관리할 필요없이 Cloud 이벤트에 응답하는 단일 목적의 독립형 함수를 만드는 데 사용할 수 있는 가벼운 컴퓨팅 솔루션입니다. Cloud Run Functions를 사용하여 Cloud Storage의 Pub/Sub 이벤트 또는 파일 변경에 대한 응답으로 워크플로를 시작할 수 있습니다. 시간 기반 매개변수 계산이 필요한 워크플로에 Cloud Scheduler와 함께 Cloud Run Functions를 사용할 수 있습니다.
장점:
Cloud Storage 또는 Pub/Sub 이벤트의 새 파일과 같은 데이터 이벤트에 대한 응답으로 워크플로 인스턴스화 사용
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-08-26(UTC)"],[[["\u003cp\u003eDataproc Workflow Templates offer a reusable configuration for defining and executing a graph of jobs within workflows.\u003c/p\u003e\n"],["\u003cp\u003eCloud Scheduler is a managed cron job scheduler enabling time-based scheduling of workflows without the need to write any code.\u003c/p\u003e\n"],["\u003cp\u003eCloud Run functions allow for workflow instantiation in response to events like new files in Cloud Storage or Pub/Sub events, requiring minimal coding.\u003c/p\u003e\n"],["\u003cp\u003eCloud Composer is a managed Apache Airflow service that supports both time- and event-based scheduling, offering dynamic workflow generation and integration across various Google Cloud products.\u003c/p\u003e\n"]]],[],null,["This section describes Google Cloud options you can use to schedule\nworkflows.\n\nDataproc Workflow Templates\n\nDataproc [Workflow templates](/dataproc/docs/concepts/workflows/overview)\nprovide a flexible and easy-to-use mechanism for managing and executing workflows. A Workflow Template is a reusable workflow configuration. It defines a graph of jobs with information on where to run those jobs.\n\nCloud Scheduler\n\nCloud Scheduler is a fully managed enterprise-grade cron job scheduler.\nIt allows you to schedule virtually any job, including batch, big data jobs,\nand Cloud infrastructure operations. It provides simple time-based\nscheduling, for example, daily or hourly, without requiring you to write code.\n\n**Advantages:**\n\n- Enables time-based instantiation of workflow templates based on familiar\n cron expressions\n\n- No code to write\n\nTutorial: [Workflow using Cloud Scheduler](/dataproc/docs/tutorials/workflow-scheduler)\n\nCloud Functions\n\nCloud Run functions is a lightweight compute solution you can use to create\nsingle-purpose, stand-alone functions that respond to Cloud events without\nthe need to manage a server or runtime environment. You can use\nCloud Run functions to launch Workflows in response to Pub/Sub\nevents or file changes in Cloud Storage. You can use Cloud Run functions\nwith Cloud Scheduler for workflows that require the calculation of\ntime-based parameters.\n\n**Advantages:**\n\n- Enables workflow instantiation in response to data events, such as new files in\n Cloud Storage or Pub/Sub events.\n\n- Minimal coding required using Dataproc\n [Go](https://github.com/googleapis/google-cloud-go),\n [Node.js](https://github.com/googleapis/google-cloud-node), or\n [Python](https://github.com/googleapis/google-cloud-python)\n client libraries\n\n- Dynamically generate workflows and workflow parameters\n\nTutorial: [Workflow using Cloud Run functions](/dataproc/docs/tutorials/workflow-function)\n\nCloud Composer\n\nCloud Composer is a managed Apache Airflow service you can use\nto create, schedule, monitor, and manage workflows.\n\n**Advantages:**\n\n- Supports time- and event-based scheduling\n\n- Simplified calls to Dataproc using Operators\n\n- Dynamically generate workflows and workflow parameters\n\n- Build data flows that span multiple Google Cloud products\n\nTutorial: [Workflow using Cloud Composer](/dataproc/docs/tutorials/workflow-composer)"]]
