Google Cloud Serverless for Apache Spark 說明文件
使用 Serverless for Apache Spark 執行 Spark 批次工作負載，不必佈建及管理自己的叢集。指定工作負載參數，然後將工作負載提交至 Serverless for Apache Spark 服務。這項服務會在代管運算基礎架構中執行工作負載，並視需要自動調度資源。Serverless for Apache Spark 只會在工作負載執行時收費。瞭解詳情
使用價值 $300 美元的免費抵免額，開始進行概念驗證
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取得 Gemini 2.0 Flash Thinking 的存取權
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每月免費使用 AI API 和 BigQuery 等熱門產品
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不會自動收費，也不會要求您一定要購買特定方案
繼續探索超過 20 項一律免費的產品
使用超過 20 項實用的免費產品，包括 AI API、VM 和 data warehouse 等。
訓練
訓練與教學課程
Serverless for Apache Spark 快速入門互動式教學課程
互動式教學課程，協助您開始使用 Serverless for Apache Spark。
用途
用途
GitHub 上的 Dataproc 範本
Serverless for Apache Spark 隨即可用，並提供以設定為導向的 Spark 範本。
用途
用途
GitHub 上的 Serverless for Apache Spark Labs
無伺服器 Apache Spark 實作實驗室，以常見用途為建構依據。
除非另有註明，否則本頁面中的內容是採用創用 CC 姓名標示 4.0 授權，程式碼範例則為阿帕契 2.0 授權。詳情請參閱《Google Developers 網站政策》。Java 是 Oracle 和/或其關聯企業的註冊商標。
上次更新時間：2025-09-04 (世界標準時間)。
[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-09-04 (世界標準時間)。"],[[["\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)"]]
