Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.
全量同步完成后,系统自动对齐启动点位(Checkpoint),开启基于 Binlog 或 Kafka 消息流的增量同步任务,实现实时数据追加。支持动态扩缩容与资源调度,适应业务高峰期负载变化,保障低延迟、高可用的数据同步链路。
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