[[["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):2025-04-02。"],[[["Cloud Data Fusion uses plugins, which are customizable modules, to extend its capabilities in managing and moving data through a pipeline."],["Plugins in Cloud Data Fusion are categorized into types such as Sources, Transformations, Analytics, Sinks, Conditions and Actions, and Error Handlers and Alerts, each serving a distinct purpose in data processing."],["Source plugins connect to various data origins, Transformation plugins alter ingested data, Analytics plugins perform aggregations and analysis, and Sink plugins write processed data to its destination."],["Condition and action plugins allow scheduling of non-data manipulation actions within workflows, while error handler plugins catch and manage errors that occur within the pipeline, allowing for more detailed analysis of them."]]],[]]