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[FLINK-19477][docs-zh][python] Translate page "python_table_api_connectors" into Chinese #13528

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wangxlong wants to merge 2 commits into apache:master from wangxlong:python_translate_python_table_api_connectors

Contributor

wangxlong commented Oct 1, 2020

What is the purpose of the change

Translate page "python_table_api_connectors" into Chinese

Brief change log

Translate page "python_table_api_connectors" into Chinese

Verifying this change

This change is a trivial rework / code cleanup without any test coverage.

Does this pull request potentially affect one of the following parts:

Dependencies (does it add or upgrade a dependency): (no)
The public API, i.e., is any changed class annotated with @Public(Evolving): (no)
The serializers: (no)
The runtime per-record code paths (performance sensitive): (no )
Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Kubernetes/Yarn/Mesos, ZooKeeper: (no)
The S3 file system connector: (no)

Documentation

Does this pull request introduce a new feature? (no)
If yes, how is the feature documented? (not applicable / docs / JavaDocs / not documented)


          [FLINK-19477][docs-zh][python] Translate page "python_table_api_conne…

6c34d14

…ctors" into Chinese

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flinkbot commented Oct 1, 2020

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rmetzger added the review=description? label

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flinkbot commented Oct 1, 2020 •

edited

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0413306 Azure: SUCCESS

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rmetzger added component=API/Python component=chinese-translation labels

Contributor Author

wangxlong commented Oct 11, 2020

Hi @dianfu CC in your free time, Thank you~

dianfu reviewed

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Contributor

dianfu left a comment

@wangxlong Thanks for the work! Have left a few comments.

docs/dev/python/user-guide/table/python_table_api_connectors.zh.md Outdated

    
            @@ -23,26 +23,26 @@ under the License.
          
              -->

              This page describes how to use connectors in PyFlink and highlights the details to be aware of when using Flink connectors in Python programs.

              这篇描述了如何在 PyFlink 中使用连接器，并强调了在 Python 程序中使用 Flink 连接器时需要注意的细节。

Contributor

dianfu Oct 12, 2020

Suggested change

      
            这篇描述了如何在 PyFlink 中使用连接器，并强调了在 Python 程序中使用 Flink 连接器时需要注意的细节。
          
            本篇描述了如何在 PyFlink 中使用连接器，并着重介绍了在 Python 程序中使用 Flink 连接器时需要注意的细节。

docs/dev/python/user-guide/table/python_table_api_connectors.zh.md Outdated

    
              Since Flink is a Java/Scala-based project, for both connectors and formats, implementations are available as jars that need to be specified as job [dependencies]({{ site.baseurl }}/zh/dev/python/user-guide/table/dependency_management.html).

              由于 Flink 是一个基于 Java/Scala-based 的项目，对于连接器和格式的实现可以作为 jar 包使用，将其指定为作业的 [依赖]({{ site.baseurl }}/zh/dev/python/user-guide/table/dependency_management.html)。

Contributor

dianfu Oct 12, 2020

Suggested change

      
            由于 Flink 是一个基于 Java/Scala-based 的项目，对于连接器和格式的实现可以作为 jar 包使用，将其指定为作业的 [依赖]({{ site.baseurl }}/zh/dev/python/user-guide/table/dependency_management.html)。
          
            由于 Flink 是一个基于 Java/Scala-based 的项目，连接器和格式的实现是作为 jar 包存在的，需要将其指定为作业的 [依赖]({{ site.baseurl }}/zh/dev/python/user-guide/table/dependency_management.html)。

docs/dev/python/user-guide/table/python_table_api_connectors.zh.md Outdated

    
              In PyFink's Table API, DDL is the recommended way to define sources and sinks, executed via the `execute_sql()` method on the `TableEnvironment`. This makes the table available for use by the application.

              在 PyFink Table API 中，DDL 是定义 sources 和 sinks 推荐的方式，通过执行在 `TableEnvironment` 中的  `execute_sql()` 方法。这样使得在应用程序可以使用这张表。

Contributor

dianfu Oct 12, 2020

Suggested change

      
            在 PyFink Table API 中，DDL 是定义 sources 和 sinks 推荐的方式，通过执行在 `TableEnvironment` 中的  `execute_sql()` 方法。这样使得在应用程序可以使用这张表。
          
            在 PyFink Table API 中，DDL 是定义 sources 和 sinks 比较推荐的方式，这可以通过 `TableEnvironment` 中的  `execute_sql()` 方法来完成。然后就可以在作业中使用这张表了。

docs/dev/python/user-guide/table/python_table_api_connectors.zh.md Outdated

    
              Some data sources and sinks are built into Flink and are available out-of-the-box. These predefined data sources include reading from Pandas DataFrame, or ingesting data from collections. The predefined data sinks support writing to Pandas DataFrame.

              有些 sources 和 sinks 被内置在 Flink 中，并且可以直接使用。这些内置的 sources 包括可以从 Pandas DataFrame 读数据，或者从 collections 消费数据。内置的 sinks 支持将数据写到 Pandas DataFrame 中。

Contributor

dianfu Oct 12, 2020

Suggested change

      
            有些 sources 和 sinks 被内置在 Flink 中，并且可以直接使用。这些内置的 sources 包括可以从 Pandas DataFrame 读数据，或者从 collections 消费数据。内置的 sinks 支持将数据写到 Pandas DataFrame 中。
          
            有些 sources 和 sinks 被内置在 Flink 中，可以直接使用。这些内置的 sources 包括可以从 Pandas DataFrame 读取数据，或者从 collections 中消费数据。内置的 sinks 包括将数据写到 Pandas DataFrame 中。

docs/dev/python/user-guide/table/python_table_api_connectors.zh.md Outdated

    
              PyFlink Tables support conversion to and from Pandas DataFrame.

              PyFlink 表支持和 Pandas DataFrame 之间转换数据。

Contributor

dianfu Oct 12, 2020

Suggested change

      
            PyFlink 表支持和 Pandas DataFrame 之间转换数据。
          
            PyFlink 表支持与 Pandas DataFrame 之间互相转换。

docs/dev/python/user-guide/table/python_table_api_connectors.zh.md Outdated

               table_env.from_elements([(1, 'Hi'), (2, 'Hello')], ['a', 'b'])
-              # use the second parameter to specify a custom table schema
+              # 使用第二个参数指定自定义表模式

Contributor

dianfu Oct 12, 2020

Suggested change

      
            # 使用第二个参数指定自定义表模式
          
            # 使用第二个参数指定自定义表结构

docs/dev/python/user-guide/table/python_table_api_connectors.zh.md Outdated

    
              In some cases, you may want to define custom sources and sinks. Currently, sources and sinks must be implemented in Java/Scala, but you can define a `TableFactory` to support their use via DDL. More details can be found in the [Java/Scala documentation]({{ site.baseurl }}/zh/dev/table/sourceSinks.html).

              在某些情况下，你可能想要自定义 sources 和 sinks。目前，sources 和 sinks 必须使用 Java/Scala 实现，但是你可以通过DDL定义一个 `TableFactory` 来使用它们。更多详情，可查阅 [Java/Scala 文档]({{ site.baseurl }}/zh/dev/table/sourceSinks.html)。

Contributor

dianfu Oct 12, 2020

Suggested change

      
            在某些情况下，你可能想要自定义 sources 和 sinks。目前，sources 和 sinks 必须使用 Java/Scala 实现，但是你可以通过DDL定义一个 `TableFactory` 来使用它们。更多详情，可查阅 [Java/Scala 文档]({{ site.baseurl }}/zh/dev/table/sourceSinks.html)。
          
            在某些情况下，你可能想要自定义 sources 和 sinks。目前，sources 和 sinks 必须使用 Java/Scala 实现，但是你可以定义一个 `TableFactory` ，然后通过 DDL 来使用它们。更多详情，可查阅 [Java/Scala 文档]({{ site.baseurl }}/zh/dev/table/sourceSinks.html)。

dianfu reviewed

View reviewed changes

docs/dev/python/user-guide/table/python_table_api_connectors.zh.md Outdated


		## Download connector and format jars
		## 下载连接器和格式 jar 包

Contributor

dianfu Oct 12, 2020

Suggested change

      
            ## 下载连接器和格式 jar 包
          
            ## 下载连接器（connector）和格式（format） jar 包


          [FLINK-19477][docs-zh][python] Fix reivew comments

Contributor Author

wangxlong commented Oct 12, 2020

@dianfu Updated~

dianfu self-assigned this

dianfu closed this in

f77fe23

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