[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-08-21。"],[[["\u003cp\u003eSingle node Dataproc clusters utilize a single node as both the master and worker, simplifying cluster management for certain use cases.\u003c/p\u003e\n"],["\u003cp\u003eThese clusters are useful for tasks like testing new Spark/Hadoop versions, creating proof-of-concept demos, lightweight data science, small-scale data processing, and educational purposes.\u003c/p\u003e\n"],["\u003cp\u003eWhile most Dataproc features apply, single node clusters lack high-availability and do not support preemptible VMs or scaling to multi-node setups.\u003c/p\u003e\n"],["\u003cp\u003eSingle node clusters can be created using the \u003ccode\u003egcloud\u003c/code\u003e command-line tool with the \u003ccode\u003e--single-node\u003c/code\u003e flag, the Dataproc REST API with specific configurations, or the Google Cloud console by choosing the "Single Node" cluster type.\u003c/p\u003e\n"],["\u003cp\u003eSingle node clusters are not suitable for large-scale data processing, as they are limited by the resources of a single node.\u003c/p\u003e\n"]]],[],null,[]]