[[["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):2025-04-03。"],[[["Streaming pipeline stragglers are work items that significantly delay watermark advancement and process for a notably longer duration than other items in the same stage, leading to increased job latency."],["The Google Cloud console allows viewing of detected streaming stragglers through the stage progress view or the stage workflow view after a Dataflow job has started."],["Troubleshooting streaming stragglers involves checking for issues with Dataflow insights, reviewing worker logs for the relevant stage, and investigating potential causes like bugs in `DoFn` code, slow external service calls, quota limits, or large read/write operations on persistent state."],["The Side info panel in the console can help identify the slowest steps in a stage, potentially revealing the cause of a straggler, and these steps can be used to find the relevant worker logs for the issue."],["After identifying the root cause of a straggler, you should update your pipeline code to resolve the issue, and then monitor the job's performance for improvement."]]],[]]