TisonKun commented on a change in pull request #9299: [FLINK-13405][docs-zh]
Translate "Basic API Concepts" page into Chinese
URL: https://github.com/apache/flink/pull/9299#discussion_r316477628
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File path: docs/dev/api_concepts.zh.md
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@@ -24,68 +24,46 @@ specific language governing permissions and limitations
under the License.
-->
-Flink programs are regular programs that implement transformations on
distributed collections
-(e.g., filtering, mapping, updating state, joining, grouping, defining
windows, aggregating).
-Collections are initially created from sources (e.g., by reading from files,
kafka topics, or from local, in-memory
-collections). Results are returned via sinks, which may for example write the
data to
-(distributed) files, or to standard output (for example, the command line
terminal).
-Flink programs run in a variety of contexts, standalone, or embedded in other
programs.
-The execution can happen in a local JVM, or on clusters of many machines.
-
-Depending on the type of data sources, i.e. bounded or unbounded sources, you
would either
-write a batch program or a streaming program where the DataSet API is used for
batch
-and the DataStream API is used for streaming. This guide will introduce the
basic concepts
-that are common to both APIs but please see our
-[Streaming Guide]({{ site.baseurl }}/dev/datastream_api.html) and
-[Batch Guide]({{ site.baseurl }}/dev/batch/index.html) for concrete
information about
-writing programs with each API.
-
-**NOTE:** When showing actual examples of how the APIs can be used we will use
-`StreamingExecutionEnvironment` and the `DataStream` API. The concepts are
exactly the same
-in the `DataSet` API, just replace by `ExecutionEnvironment` and `DataSet`.
+Flink
程序是实现了分布式集合转换（例如过滤、映射、更新状态、join、分组、定义窗口、聚合）的规范化程序。集合初始创建自数据源（例如读取文件、kafka
主题，或本地内存中的集合）。结果通过 sink 返回，例如，它可以将数据写入（分布式）文件，或标准输出（例如命令行终端）。Flink
程序可以在多种环境中运行，独立运行或嵌入到其他程序中。可以在本地 JVM 中执行，也可以在多台机器的集群上执行。
Review comment:
社区有过一次讨论[1]，建议都不翻译。
[1]
https://lists.apache.org/x/thread.html/8a041adc57c36b2228cdc7394a0442db61a39e82c382e598f8842805@%3Cuser-zh.flink.apache.org%3E
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