Java 8 已停止支援，並將於 2026 年 1 月 31 日
淘汰。淘汰後，您將無法部署 Java 8 應用程式，即使貴機構先前使用機構政策重新啟用舊版執行階段的部署作業也一樣。現有的 Java 8 應用程式在
淘汰日期後，仍會繼續執行並接收流量。建議您
改用最新支援的 Java 版本。
App Engine 適用的 MapReduce
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
重要事項：Google 已將 Java 和 Python MapReduce 程式庫的相關支援與未來的開發作業轉移至開放原始碼社群。原始碼和說明文件可在 GitHub 上取得
MapReduce 是透過平行且分散的方式處理大量資料的程式設計模型，適用於無法在單一要求範圍內處理長時間執行的大量工作；這類工作包括：
- 分析應用程式記錄
- 匯總外部來源的相關資料
- 轉換資料格式
- 匯出資料進行外部分析
App Engine MapReduce 是由社群維護的開放原始碼程式庫，以 App Engine 服務 (包括 Datastore 和工作佇列) 為建構基礎。您可以在 GitHub 取得這個程式庫：
說明文件所在位置
點選上方連結的 GitHub 專案 Wiki 圖示即可存取 Mapreduce 的說明文件。不過，為了方便您查閱，您也可以透過下列連結存取 Java 和 Python MapReduce 的說明文件：
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\u003eGoogle has transitioned the Java and Python MapReduce libraries to open-source, with the source code and documentation now available on GitHub.\u003c/p\u003e\n"],["\u003cp\u003eMapReduce is a programming model designed for processing large datasets in parallel, making it useful for long-running jobs like log analysis and data transformation.\u003c/p\u003e\n"],["\u003cp\u003eApp Engine MapReduce is a community-maintained, open-source library built on App Engine services like Datastore and Task Queues.\u003c/p\u003e\n"],["\u003cp\u003eThe MapReduce library's documentation for both Java and Python is accessible via the GitHub wiki, at the link provided for your convenience.\u003c/p\u003e\n"]]],[],null,["# MapReduce for App Engine\n\n**Important:**\nGoogle has transitioned support and further development of the\nJava and Python MapReduce libraries to\nthe open source community.\nThe source code and documentation are\navailable on [GitHub](https://github.com/GoogleCloudPlatform/appengine-mapreduce/wiki)\n\nMapReduce is a programming model for processing large amounts of data in a\nparallel and distributed fashion. It is useful for large, long-running jobs\nthat cannot be handled within the scope of a single request, tasks like:\n\n- Analyzing application logs\n- Aggregating related data from external sources\n- Transforming data from one format to another\n- Exporting data for external analysis\n\nApp Engine MapReduce is a community-maintained, open source library that is\nbuilt on top of App Engine services, including Datastore and Task Queues.\nThe library is available on GitHub at these locations:\n\n- [Java](https://github.com/GoogleCloudPlatform/appengine-mapreduce/tree/master/java) source project.\n\n- [Python](https://github.com/GoogleCloudPlatform/appengine-mapreduce/tree/master/python) source project.\n\nWhere to find documentation\n---------------------------\n\nThe documentation for Mapreduce is available by clicking the wiki icon for the GitHub projects\nlinked above. However, for your convenience, you can also access the\ndocumentation for both Java and Python MapReduce at the following link:\n\n- [Java and Python MapReduce Documentation](https://github.com/GoogleCloudPlatform/appengine-mapreduce/wiki)"]]
