[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-08-19 (UTC)"],[[["\u003cp\u003eDataproc Serverless LTS runtime versions are supported for 30 months, while non-LTS versions are supported for 12 months.\u003c/p\u003e\n"],["\u003cp\u003eAll Dataproc Serverless runtime versions remain available for two years following their end-of-support date.\u003c/p\u003e\n"],["\u003cp\u003eThe current default Dataproc Serverless runtime version can be found in the "Supported Dataproc Serverless for Spark runtime versions" section.\u003c/p\u003e\n"],["\u003cp\u003eYou can select a different Dataproc Serverless runtime version when submitting a batch workload using the Google Cloud console, gcloud CLI, or the Dataproc API.\u003c/p\u003e\n"],["\u003cp\u003eDataproc Serverless for Spark runtime versions \u003ccode\u003e1.2\u003c/code\u003e and \u003ccode\u003e2.1+\u003c/code\u003e do not offer subminor version pinning.\u003c/p\u003e\n"]]],[],null,[]]
