libenchao commented on a change in pull request #10822:
[FLINK-15081][docs-zh]Translate "Concepts & Common API" page of Table…
URL: https://github.com/apache/flink/pull/10822#discussion_r382627502
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File path: docs/dev/table/common.zh.md
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@@ -123,30 +123,29 @@ table_env.execute("python_job")
</div>
</div>
-**Note:** Table API and SQL queries can be easily integrated with and embedded
into DataStream or DataSet programs. Have a look at the [Integration with
DataStream and DataSet API](#integration-with-datastream-and-dataset-api)
section to learn how DataStreams and DataSets can be converted into Tables and
vice versa.
+**注释：** Table API 和 SQL 查询可以很容易地集成并嵌入到流处理或批处理程序中。 请参阅[与 DataStream 和 DataSet
API 结合](#integration-with-datastream-and-dataset-api) 章节了解如何将数据流和数据集与表之间的相互转化。
{% top %}
-Create a TableEnvironment
+创建 TableEnvironment
-------------------------
-The `TableEnvironment` is a central concept of the Table API and SQL
integration. It is responsible for:
+`TableEnvironment` 是 Table API 和 SQL 的核心概念。它负责:
-* Registering a `Table` in the internal catalog
-* Registering catalogs
-* Loading pluggable modules
-* Executing SQL queries
-* Registering a user-defined (scalar, table, or aggregation) function
-* Converting a `DataStream` or `DataSet` into a `Table`
-* Holding a reference to an `ExecutionEnvironment` or
`StreamExecutionEnvironment`
+* 在内部的 catalog 中注册`表`
+* 注册外部的 catalog
+* 执行 SQL 查询
+* 注册自定义函数 （scalar、table 或 aggregation）
+* 将`流数据集`或`批数据集`转换成`表`
+* 引用 `ExecutionEnvironment` 或 `StreamExecutionEnvironment`
-A `Table` is always bound to a specific `TableEnvironment`. It is not possible
to combine tables of different TableEnvironments in the same query, e.g., to
join or union them.
+`表`总是与确定的 `TableEnvironment` 绑定。不能在同一条查询中使用不同 TableEnvironment 中的表，例如，对它们进行
join 或 union 操作。
-A `TableEnvironment` is created by calling the static
`BatchTableEnvironment.create()` or `StreamTableEnvironment.create()` method
with a `StreamExecutionEnvironment` or an `ExecutionEnvironment` and an
optional `TableConfig`. The `TableConfig` can be used to configure the
`TableEnvironment` or to customize the query optimization and translation
process (see [Query Optimization](#query-optimization)).
+`TableEnvironment` 可以通过静态方法 `BatchTableEnvironment.create()` 或者
`StreamTableEnvironment.create()` 在 `StreamExecutionEnvironment` 或者
`ExecutionEnvironment` 中创建，`TableConfig`
是可选项。`TableConfig`可用于配置`TableEnvironment`或自定义查询优化和转换过程(参见
[查询优化](#query-optimization))。
Review comment:
`custom` can be translated like `定制` ?
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