[[["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)：2025-03-06。"],[[["The Bigtable Beam connector (`BigtableIO`) facilitates batch and streaming operations on Bigtable data within Apache Beam pipelines, especially when used in conjunction with Dataflow."],["For migrations from HBase or applications using the HBase API, the Bigtable HBase Beam connector (`CloudBigtableIO`) should be used instead of the standard `BigtableIO`."],["The Bigtable Beam connector is a component of the Apache Beam GitHub repository, and users should refer to the `Class BigtableIO` Javadoc for detailed information."],["When using Dataflow pipelines with the connector, it is important to refer to the Apache Beam runtime support page to ensure you are using a compatible version of Java."],["Batch write flow control, when enabled, allows Bigtable to automatically rate-limit traffic and ensure the cluster has enough load to trigger autoscaling."]]],[]]
