Google Cloud Apache Spark용 서버리스 문서
Apache Spark용 서버리스를 사용하여 자체 클러스터를 프로비저닝 및 관리하지 않고 Spark 일괄 워크로드를 실행합니다. 워크로드 매개변수를 지정한 후 Apache Spark용 서버리스 서비스에 워크로드를 제출합니다. 이 서비스는 관리되는 컴퓨팅 인프라에서 워크로드를 실행하여 필요에 따라 리소스를 자동 확장합니다.
Apache Spark용 서버리스 요금은 워크로드가 실행될 때만 적용됩니다.
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AI API, VM, 데이터 웨어하우스 등 일반적인 사용 사례에 20개가 넘는 무료 제품을 사용할 수 있습니다.
학습
교육 및 튜토리얼
Apache Spark용 서버리스 빠른 시작 대화형 튜토리얼
Apache Spark용 서버리스를 시작하기 위한 대화형 튜토리얼입니다.
사용 사례
사용 사례
GitHub의 Dataproc 템플릿
Apache Spark용 서버리스의 즉시 사용 가능한 구성 기반 Spark 템플릿입니다.
사용 사례
사용 사례
GitHub의 Apache Spark용 서버리스 실습
일반적인 사용 사례에 따라 빌드된 Apache Spark용 서버리스 실습입니다.
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2025-09-04(UTC)
[[["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: 2025-09-04(UTC)"],[[["\u003cp\u003eDataproc Serverless allows you to run Spark batch workloads without the need to provision or manage your own clusters.\u003c/p\u003e\n"],["\u003cp\u003eThe service runs workloads on managed infrastructure, automatically scaling resources as needed.\u003c/p\u003e\n"],["\u003cp\u003eYou are only charged for the time your workload is actively executing with Dataproc Serverless.\u003c/p\u003e\n"],["\u003cp\u003eDataproc Serverless offers a variety of resources, including guides, REST/RPC APIs, pricing details, and release notes to facilitate your work.\u003c/p\u003e\n"]]],[],null,["# Google Cloud Serverless for Apache Spark documentation\n======================================================\n\n[Read product documentation](/dataproc-serverless/docs/overview) [Dataproc](/dataproc/docs \"View this page for Dataproc\") \\| Serverless for Apache Spark \\| [Dataproc Metastore](/dataproc-metastore/docs \"View this page for Dataproc Metastore\")\n\n\nUse Serverless for Apache Spark to run Spark batch workloads without provisioning\nand managing your own cluster. Specify workload parameters, and then submit the\nworkload to the Serverless for Apache Spark service. The service will run the\nworkload on a managed compute infrastructure, autoscaling resources as needed.\nServerless for Apache Spark charges apply only to the time when the workload is\nexecuting.\n[Learn more](/dataproc-serverless/docs/overview)\n[Get started for free](https://console.cloud.google.com/freetrial) \n\n#### Start your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\n#### Keep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nDocumentation resources\n-----------------------\n\nFind quickstarts and guides, review key references, and get help with common issues. \nformat_list_numbered\n\n### Guides\n\n-\n\n [What is Serverless for Apache Spark?](/dataproc-serverless/docs/overview)\n\n-\n\n [Run an Apache Spark batch workload](/dataproc-serverless/docs/quickstarts/spark-batch)\n\n-\n\n [Use the BigQuery connector with Serverless for Apache Spark](/dataproc-serverless/docs/guides/bigquery-connector-spark-example)\n\n-\n\n [Use custom containers with Serverless for Apache Spark](/dataproc-serverless/docs/guides/custom-containers)\n\nfind_in_page\n\n### Reference\n\n-\n\n [REST API](/dataproc-serverless/docs/reference/rest/v1/projects.locations.batches)\n\n-\n\n [RPC API](/dataproc-serverless/docs/reference/rpc#google.cloud.dataproc.v1.batchcontroller)\n\n-\n\n [Serverless for Apache Spark \\& Cloud SDK](/dataproc-serverless/docs/gcloud)\n\ninfo\n\n### Resources\n\n-\n\n [Serverless for Apache Spark Pricing](/dataproc-serverless/pricing)\n\n-\n\n [Serverless for Apache Spark Quotas](/dataproc-serverless/quotas)\n\n-\n\n [Release notes](/dataproc-serverless/docs/release-notes)\n\n-\n\n [Get support](/dataproc-serverless/docs/support/getting-support)\n\n- \n\nRelated resources\n-----------------\n\nTraining and tutorials \nUse cases \nExplore self-paced training, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services. Training \nTraining and tutorials\n\n### Serverless for Apache Spark Quickstart Interactive Tutorial\n\n\nInteractive tutorial for getting started with Serverless for Apache Spark.\n\n\n[Learn more](https://console.cloud.google.com/?walkthrough_id=dataproc--dataproc_serverless_quickstart) \nUse case \nUse cases\n\n### Dataproc Templates on GitHub\n\n\nServerless for Apache Spark ready-to-use, config-driven Spark templates.\n\n\n[Learn more](https://github.com/GoogleCloudPlatform/dataproc-templates/blob/main/README.md) \nUse case \nUse cases\n\n### Serverless for Apache Spark Labs on GitHub\n\n\nServerless for Apache Spark hands-on labs built around common use cases.\n\n\n[Learn more](https://github.com/GoogleCloudPlatform/serverless-spark-workshop)"]]
