Google Cloud Serverless for Apache Spark 文档
使用 Serverless for Apache Spark 运行 Spark 批处理工作负载，而无需预配和管理您自己的集群。指定工作负载参数，然后将工作负载提交到 Serverless for Apache Spark 服务。该服务将在托管式计算基础架构上运行工作负载，并根据需要自动扩缩资源。Serverless for Apache Spark 仅在执行工作负载时产生费用。了解详情
获享 $300 免费赠金开始概念验证
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体验 Gemini 2.0 Flash Thinking
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免费使用热门产品（包括 AI API 和 BigQuery）的每月用量
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不会自动收费，无需承诺
继续探索 20 多种提供“始终免费”用量的产品
使用适用于常见应用场景（包括 AI API、虚拟机、数据仓库等）的 20 多种免费产品。
培训
培训和教程
Serverless for Apache Spark 快速入门互动式教程
有关如何开始使用 Serverless for Apache Spark 的互动式教程。
使用场景
使用场景
GitHub 上的 Dataproc 模板
Serverless for Apache Spark 现成可用的配置驱动型 Spark 模板。
使用场景
使用场景
GitHub 上的 Serverless for Apache Spark 实验
围绕常见应用场景构建的 Apache Spark 无服务器实践实验。
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2025-08-25。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-25。"],[[["\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)"]]
