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Posted to issues@flink.apache.org by "Vincent-Woo (via GitHub)" <gi...@apache.org> on 2024/04/06 07:43:02 UTC
[PR] [FLINK-34738][cdc][docs-zh] "Deployment - YARN" Page for Flink CDC Chinese Documentation [flink-cdc]
Vincent-Woo opened a new pull request, #3205:
URL: https://github.com/apache/flink-cdc/pull/3205
## What is the purpose of the change
Translate "Deployment - YARN" page into Chinese.
The page url is https://nightlies.apache.org/flink/flink-cdc-docs-release-3.0/zh/docs/deployment/yarn/
The markdown file is located in `flink-cdc/docs/content.zh/docs/deployment/yarn.md`
## Brief change log
- Translate `flink-cdc/docs/content.zh/docs/deployment/yarn.md`, that mainly introduces submitting a Flink CDC job on Yarn.
## Verifying this change
This change is a trivial rework / code cleanup without any test coverage.
## Documentation
- Does this pull request introduce a new feature? **no**
- If yes, how is the feature documented? **not applicable**
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Re: [PR] [FLINK-34738][cdc][docs-zh] "Deployment - YARN" Page for Flink CDC Chinese Documentation [flink-cdc]
Posted by "Vincent-Woo (via GitHub)" <gi...@apache.org>.
Vincent-Woo commented on PR #3205:
URL: https://github.com/apache/flink-cdc/pull/3205#issuecomment-2378400832
> @Vincent-Woo Thanks for your contributions. I left some comments.
@GOODBOY008 Thanks for the guidance, I made some changes, PTAL
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Re: [PR] [FLINK-34738][cdc][docs-zh] "Deployment - YARN" Page for Flink CDC Chinese Documentation [flink-cdc]
Posted by "Vincent-Woo (via GitHub)" <gi...@apache.org>.
Vincent-Woo commented on PR #3205:
URL: https://github.com/apache/flink-cdc/pull/3205#issuecomment-2049708639
@leonardBang @PatrickRen @lvyanquan @loserwang1024 Excuse me, do you have time to take a look at this?
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Re: [PR] [FLINK-34738][cdc][docs-zh] "Deployment - YARN" Page for Flink CDC Chinese Documentation [flink-cdc]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #3205:
URL: https://github.com/apache/flink-cdc/pull/3205#issuecomment-2232036913
This pull request has been automatically marked as stale because it has not had recent activity for 60 days. It will be closed in 30 days if no further activity occurs.
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Re: [PR] [FLINK-34738][cdc][docs-zh] "Deployment - YARN" Page for Flink CDC Chinese Documentation [flink-cdc]
Posted by "GOODBOY008 (via GitHub)" <gi...@apache.org>.
GOODBOY008 merged PR #3205:
URL: https://github.com/apache/flink-cdc/pull/3205
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Re: [PR] [FLINK-34738][cdc][docs-zh] "Deployment - YARN" Page for Flink CDC Chinese Documentation [flink-cdc]
Posted by "GOODBOY008 (via GitHub)" <gi...@apache.org>.
GOODBOY008 commented on code in PR #3205:
URL: https://github.com/apache/flink-cdc/pull/3205#discussion_r1730237337
##########
docs/content.zh/docs/deployment/yarn.md:
##########
@@ -24,44 +24,44 @@ specific language governing permissions and limitations
under the License.
-->
-# Introduction
+# 介绍
-[Apache Hadoop YARN](https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html) is a resource provider popular with many data processing frameworks.
-Flink services are submitted to YARN's ResourceManager, which spawns containers on machines managed by YARN NodeManagers. Flink deploys its JobManager and TaskManager instances into such containers.
+[Apache Hadoop YARN](https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html) 是众多数据处理框架所青睐的资源提供者。
+Flink 服务被提交至 YARN 的 ResourceManager，后者会在由 YARN NodeManager 管理的机器上生成 container。Flink 将其 JobManager 和 TaskManager 实例部署到这些 container 中。
-Flink can dynamically allocate and de-allocate TaskManager resources depending on the number of processing slots required by the job(s) running on the JobManager.
+Flink 可以根据在 JobManager 上运行的作业处理所需的 slot 数量，动态分配和释放 TaskManager 资源。
-## Preparation
+## 准备工作
-This *Getting Started* section assumes a functional YARN environment, starting from version 2.10.2. YARN environments are provided most conveniently through services such as Amazon EMR, Google Cloud DataProc or products like Cloudera. [Manually setting up a YARN environment locally](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html) or [on a cluster](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/ClusterSetup.html) is not recommended for following through this *Getting Started* tutorial.
+此“入门指南”部分假定从 2.10.2 版本起具备功能可用的 YARN 环境。YARN 环境可以通过像亚马逊 EMR、谷歌云 DataProc 等服务或 Cloudera 等产品来搭建。不建议在[本地](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html)或[集群](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/ClusterSetup.html)上手动设置 YARN 环境来完成本入门教程。
-- Make sure your YARN cluster is ready for accepting Flink applications by running `yarn top`. It should show no error messages.
-- Download a recent Flink distribution from the [download page](https://flink.apache.org/downloads/) and unpack it.
-- **Important** Make sure that the `HADOOP_CLASSPATH` environment variable is set up (it can be checked by running `echo $HADOOP_CLASSPATH`). If not, set it up using
+- 通过运行 `yarn top` 无错误信息显示以确保你的 YARN 集群准备好接受 Flink 应用程序的提交。
+- 从[下载页面](https://flink.apache.org/downloads/)下载最新的 Flink 发行版并解压缩。
+- 一定要确保设置了 `HADOOP_CLASSPATH` 环境变量（可以通过运行 `echo $HADOOP_CLASSPATH` 来检查）。如果没有，请使用以下方式进行设置。
```bash
export HADOOP_CLASSPATH=`hadoop classpath`
```
-## Session Mode
+## Session 模式
-Flink runs on all UNIX-like environments, i.e. Linux, Mac OS X, and Cygwin (for Windows).
-You can refer [overview]({{< ref "docs/connectors/pipeline-connectors/overview" >}}) to check supported versions and download [the binary release](https://flink.apache.org/downloads/) of Flink,
-then extract the archive:
+Flink 在所有类 UNIX 的环境中运行，即在 Linux、Mac OS X 以及（针对 Windows 的）Cygwin 上运行。
+您可以参考[概览]({{< ref "docs/connectors/pipeline-connectors/overview" >}})来检查支持的版本并下载[Flink二进制版本](https://flink.apache.org/downloads/)，
Review Comment:
```suggestion
你可以参考[概览]({{< ref "docs/connectors/pipeline-connectors/overview" >}})来检查支持的版本并下载[Flink二进制版本](https://flink.apache.org/downloads/)，
```
##########
docs/content.zh/docs/deployment/yarn.md:
##########
@@ -24,44 +24,44 @@ specific language governing permissions and limitations
under the License.
-->
-# Introduction
+# 介绍
-[Apache Hadoop YARN](https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html) is a resource provider popular with many data processing frameworks.
-Flink services are submitted to YARN's ResourceManager, which spawns containers on machines managed by YARN NodeManagers. Flink deploys its JobManager and TaskManager instances into such containers.
+[Apache Hadoop YARN](https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html) 是众多数据处理框架所青睐的资源提供者。
+Flink 服务被提交至 YARN 的 ResourceManager，后者会在由 YARN NodeManager 管理的机器上生成 container。Flink 将其 JobManager 和 TaskManager 实例部署到这些 container 中。
-Flink can dynamically allocate and de-allocate TaskManager resources depending on the number of processing slots required by the job(s) running on the JobManager.
+Flink 可以根据在 JobManager 上运行的作业处理所需的 slot 数量，动态分配和释放 TaskManager 资源。
-## Preparation
+## 准备工作
-This *Getting Started* section assumes a functional YARN environment, starting from version 2.10.2. YARN environments are provided most conveniently through services such as Amazon EMR, Google Cloud DataProc or products like Cloudera. [Manually setting up a YARN environment locally](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html) or [on a cluster](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/ClusterSetup.html) is not recommended for following through this *Getting Started* tutorial.
+此“入门指南”部分假定从 2.10.2 版本起具备功能可用的 YARN 环境。YARN 环境可以通过像亚马逊 EMR、谷歌云 DataProc 等服务或 Cloudera 等产品来搭建。不建议在[本地](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html)或[集群](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/ClusterSetup.html)上手动设置 YARN 环境来完成本入门教程。
-- Make sure your YARN cluster is ready for accepting Flink applications by running `yarn top`. It should show no error messages.
-- Download a recent Flink distribution from the [download page](https://flink.apache.org/downloads/) and unpack it.
-- **Important** Make sure that the `HADOOP_CLASSPATH` environment variable is set up (it can be checked by running `echo $HADOOP_CLASSPATH`). If not, set it up using
+- 通过运行 `yarn top` 无错误信息显示以确保你的 YARN 集群准备好接受 Flink 应用程序的提交。
+- 从[下载页面](https://flink.apache.org/downloads/)下载最新的 Flink 发行版并解压缩。
+- 一定要确保设置了 `HADOOP_CLASSPATH` 环境变量（可以通过运行 `echo $HADOOP_CLASSPATH` 来检查）。如果没有，请使用以下方式进行设置。
Review Comment:
```suggestion
- 一定要确保设置了 `HADOOP_CLASSPATH` 环境变量（可以通过运行 `echo $HADOOP_CLASSPATH` 来检查）。如果没有，请使用以下命令进行设置。
```
##########
docs/content.zh/docs/deployment/yarn.md:
##########
@@ -24,44 +24,44 @@ specific language governing permissions and limitations
under the License.
-->
-# Introduction
+# 介绍
-[Apache Hadoop YARN](https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html) is a resource provider popular with many data processing frameworks.
-Flink services are submitted to YARN's ResourceManager, which spawns containers on machines managed by YARN NodeManagers. Flink deploys its JobManager and TaskManager instances into such containers.
+[Apache Hadoop YARN](https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html) 是众多数据处理框架所青睐的资源提供者。
+Flink 服务被提交至 YARN 的 ResourceManager，后者会在由 YARN NodeManager 管理的机器上生成 container。Flink 将其 JobManager 和 TaskManager 实例部署到这些 container 中。
-Flink can dynamically allocate and de-allocate TaskManager resources depending on the number of processing slots required by the job(s) running on the JobManager.
+Flink 可以根据在 JobManager 上运行的作业处理所需的 slot 数量，动态分配和释放 TaskManager 资源。
-## Preparation
+## 准备工作
-This *Getting Started* section assumes a functional YARN environment, starting from version 2.10.2. YARN environments are provided most conveniently through services such as Amazon EMR, Google Cloud DataProc or products like Cloudera. [Manually setting up a YARN environment locally](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html) or [on a cluster](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/ClusterSetup.html) is not recommended for following through this *Getting Started* tutorial.
+此“入门指南”部分假定从 2.10.2 版本起具备功能可用的 YARN 环境。YARN 环境可以通过像亚马逊 EMR、谷歌云 DataProc 等服务或 Cloudera 等产品来搭建。不建议在[本地](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.html)或[集群](https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/ClusterSetup.html)上手动设置 YARN 环境来完成本入门教程。
-- Make sure your YARN cluster is ready for accepting Flink applications by running `yarn top`. It should show no error messages.
-- Download a recent Flink distribution from the [download page](https://flink.apache.org/downloads/) and unpack it.
-- **Important** Make sure that the `HADOOP_CLASSPATH` environment variable is set up (it can be checked by running `echo $HADOOP_CLASSPATH`). If not, set it up using
+- 通过运行 `yarn top` 无错误信息显示以确保你的 YARN 集群准备好接受 Flink 应用程序的提交。
+- 从[下载页面](https://flink.apache.org/downloads/)下载最新的 Flink 发行版并解压缩。
+- 一定要确保设置了 `HADOOP_CLASSPATH` 环境变量（可以通过运行 `echo $HADOOP_CLASSPATH` 来检查）。如果没有，请使用以下方式进行设置。
```bash
export HADOOP_CLASSPATH=`hadoop classpath`
```
-## Session Mode
+## Session 模式
-Flink runs on all UNIX-like environments, i.e. Linux, Mac OS X, and Cygwin (for Windows).
-You can refer [overview]({{< ref "docs/connectors/pipeline-connectors/overview" >}}) to check supported versions and download [the binary release](https://flink.apache.org/downloads/) of Flink,
-then extract the archive:
+Flink 在所有类 UNIX 的环境中运行，即在 Linux、Mac OS X 以及（针对 Windows 的）Cygwin 上运行。
+您可以参考[概览]({{< ref "docs/connectors/pipeline-connectors/overview" >}})来检查支持的版本并下载[Flink二进制版本](https://flink.apache.org/downloads/)，
+然后提取该归档文件：
Review Comment:
```suggestion
然后解压文件：
```
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