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： ``` -- This is an automated message from the Apache Git Service. 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