執行範本
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
本範例示範如何依工作名稱和範本路徑,基本執行 Dataflow 範本。
深入探索
如需包含這個程式碼範例的詳細說明文件,請參閱下列內容:
程式碼範例
Python
如要向 Dataflow 進行驗證,請設定應用程式預設憑證。
詳情請參閱「為本機開發環境設定驗證」。
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。
[[["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"]],[],[[["\u003cp\u003eThis example demonstrates the execution of a Dataflow template using its job name and template path.\u003c/p\u003e\n"],["\u003cp\u003eThe code sample requires setting up Application Default Credentials for Dataflow authentication.\u003c/p\u003e\n"],["\u003cp\u003eThe provided Python code shows how to launch a Dataflow template using the \u003ccode\u003egoogleapiclient.discovery\u003c/code\u003e library.\u003c/p\u003e\n"],["\u003cp\u003eFurther details and documentation on running classic templates can be found in the "Running classic templates" guide.\u003c/p\u003e\n"],["\u003cp\u003eYou can search and filter code samples for various Google Cloud products via the Google Cloud sample browser.\u003c/p\u003e\n"]]],[],null,["# Run a template\n\nThis sample demonstrates basic execution of a Dataflow template by job name and template path.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Running classic templates](/dataflow/docs/guides/templates/running-templates)\n\nCode sample\n-----------\n\n### Python\n\n\nTo authenticate to Dataflow, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n from googleapiclient.discovery import build\n\n # project = 'your-gcp-project'\n # job = 'unique-job-name'\n # template = 'gs://dataflow-templates/latest/Word_Count'\n # parameters = {\n # 'inputFile': 'gs://dataflow-samples/shakespeare/kinglear.txt',\n # 'output': 'gs://\u003cyour-gcs-bucket\u003e/wordcount/outputs',\n # }\n\n dataflow = build(\"dataflow\", \"v1b3\")\n request = (\n dataflow.projects()\n .templates()\n .launch(\n projectId=project,\n gcsPath=template,\n body={\n \"jobName\": job,\n \"parameters\": parameters,\n },\n )\n )\n\n response = request.execute()\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=dataflow)."]]