ChengkaiYang2022 commented on code in PR #20510: URL: https://github.com/apache/flink/pull/20510#discussion_r945556067
########## 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。 -## What Will You Be Building? +## 你接下来要搭建的是什么系统？ -In this tutorial, you will learn how to build a real-time dashboard to track financial transactions by account. -The pipeline will read data from Kafka and write the results to MySQL visualized via Grafana. +在本教程中，你会学习到如何创建一个按账户追踪金融交易的实时看板。 +整条流水线为读 Kafka 中的数据并将结果写入到 MySQL 通过 Grafana 展示。 -## Prerequisites +## 准备条件 -This walkthrough assumes that you have some familiarity with Java or Scala, but you should be able to follow along even if you come from a different programming language. -It also assumes that you are familiar with basic relational concepts such as `SELECT` and `GROUP BY` clauses. +本次代码练习假定你对 Java 或者 Scala 有一定的了解，当然如果你之前使用的是其他编程语言，也应该可以继续学习。 Review Comment: Okay, using ‘我们’ is a better way. -- 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
