정렬
컬렉션을 사용해 정리하기
내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요.
PySpark 정렬 작업 예시입니다.
코드 샘플
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.
[[["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"]],[],[[["\u003cp\u003eThis webpage provides an example of a PySpark sort job using the Dataproc service.\u003c/p\u003e\n"],["\u003cp\u003eThe code sample demonstrates how to use PySpark to create an RDD, sort a list of strings, and then print the sorted list.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication to Dataproc requires setting up Application Default Credentials, as detailed in the provided link.\u003c/p\u003e\n"],["\u003cp\u003eThe page also links to further documentation for the Dataproc Python API and the Dataproc quickstart using client libraries.\u003c/p\u003e\n"]]],[],null,["An example PySpark sort job.\n\nCode sample \n\nPython\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Dataproc quickstart using\nclient libraries](/dataproc/docs/quickstarts/quickstart-lib).\n\n\nFor more information, see the\n[Dataproc Python API\nreference documentation](/python/docs/reference/dataproc/latest).\n\n\nTo authenticate to Dataproc, 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 import pyspark\n\n sc = pyspark.SparkContext()\n rdd = sc.parallelize([\"Hello,\", \"world!\", \"dog\", \"elephant\", \"panther\"])\n words = sorted(rdd.collect())\n print(words)\n\nWhat's next\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=dataproc)."]]
