jjiey commented on a change in pull request #14437:
URL: https://github.com/apache/flink/pull/14437#discussion_r549238266
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File path: docs/dev/table/sql/gettingStarted.zh.md
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@@ -129,11 +128,11 @@ FROM employee_information
GROUP BY dep_id;
{% endhighlight %}
-Such queries are considered _stateful_. Flink's advanced fault-tolerance
mechanism will maintain internal state and consistency, so queries always
return the correct result, even in the face of hardware failure.
+这样的查询被认为是 _有状态的_。Flink 的高级容错机制将维持内部状态和一致性，因此即使遇到硬件故障，查询也始终返回正确结果。
-## Sink Tables
+## Sink 表
-When running this query, the SQL client provides output in real-time but in a
read-only fashion. Storing results - to power a report or dashboard - requires
writing out to another table. This can be achieved using an `INSERT INTO`
statement. The table referenced in this clause is known as a sink table. An
`INSERT INTO` statement will be submitted as a detached query to the Flink
cluster.
+当运行此查询时，SQL 客户端实时但是以只读方式提供输出。存储结果（为报表或仪表板提供数据来源）需要写到另一个表。这可以使用 `INSERT INTO`
语句来实现。本节中引用的表称为 sink 表。`INSERT INTO` 语句将作为一个独立查询被提交到 Flink 集群中。
Review comment:
“作为报表或仪表板提供数据来源” -> "作为报表或仪表板的数据来源" 理解您的意思了，这里“提供”改为“的”应该更通顺一些。
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