ChengkaiYang2022 commented on code in PR #20510: URL: https://github.com/apache/flink/pull/20510#discussion_r945554838
########## docs/content.zh/docs/try-flink/table_api.md: ########## @@ -28,51 +28,49 @@ under the License. # 基于 Table API 实现实时报表 -Apache Flink offers a Table API as a unified, relational API for batch and stream processing, i.e., queries are executed with the same semantics on unbounded, real-time streams or bounded, batch data sets and produce the same results. -The Table API in Flink is commonly used to ease the definition of data analytics, data pipelining, and ETL applications. +Apache Flink 提供 Table API 作为批流统一的关系型 API，例如，相同语法的查询在无界的实时流数据或者有界的批数据集上执行会得到一致的结果。 +Table API 在 Flink 中常被用于简化数据分析、数据流水线以及 ETL 应用的定义。 Review Comment: I think the key point of this line is '使用 Flink 的 Table API，（相比于核心API），可以降低编程（数据分析、构建数据流水线以及 ETL 应用）的复杂程度，（方便于用户更简单、直观地完成需求）。' But I'm not sure about how to translate (or **explain**) 'definition' in a better way. In conclusion, I agree with 'Flink 的 Table API 可以简化数据分析、构建数据流水线以及 ETL 应用的 定义。' so far. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
