Dcos: fix flink doc typo (#41)

Signed-off-by: xingcan-ltc <[email protected]>

Author: xingcan-hu

catalog/flink/apps/streampark.app/README.md

@@ -67,7 +67,7 @@ INSERT INTO print_table select f_sequence,f_random,f_random_str from datagen;
 
 #### 运行作业
 - 在作业管理页面，点击`datagen-print`作业的`发布作业`按钮，稍等片刻，发布状态变为`Done` `Success`
-- 点击`datagen-print`作业的`启动作业`按钮，关闭弹窗中的`from savepoin`, 点击`应用`, 作业将提交到Flink session集群运行, 运行状态依次变为`Starting` `Running` `Finished`
+- 点击`datagen-print`作业的`启动作业`按钮，关闭弹窗中的`from savepoint`, 点击`应用`, 作业将提交到Flink session集群运行, 运行状态依次变为`Starting` `Running` `Finished`
 
 
 

catalog/flink/apps/streampark.app/i18n/en/README.md

@@ -66,5 +66,5 @@ After the addition is successful, it will jump to the job management page
 
 #### Run the job
 - In the job management page, click the `Release Application` button of the `datagen-print` job, wait for a moment, the publish status becomes `Done` `Success`
-- Click the `Start Application` button of the `datagen-print` job, close the `from savepoin` in the pop-up window, click `Apply`, the job will be submitted to the Flink session cluster for running, and the running status will change to `Starting` `Running` `Finished` in turn
+- Click the `Start Application` button of the `datagen-print` job, close the `from savepoint` in the pop-up window, click `Apply`, the job will be submitted to the Flink session cluster for running, and the running status will change to `Starting` `Running` `Finished` in turn
 

docs/en/catalog-overview/Flink/developer-guide.md

@@ -144,7 +144,7 @@ Two methods are introduced for submitting applications: one is through the Flink
 Enter the flink session cluster container :
 ```shell
 # Change the pod according to the actual situation
-kubuectl exec -it flink-session-cluster-xxxxx -n kdp-data -- bash
+kubectl exec -it flink-session-cluster-xxxxx -n kdp-data -- bash
 ```
 
 Execute the following command in the flink session cluster container:

docs/zh/catalog-overview/Flink/developer-guide.md

@@ -143,7 +143,7 @@ public class SocketWindowWordCount {
 进入flink session cluster容器
 ```shell
 # pod 根据实际情况替换
-kubuectl exec -it flink-session-cluster-xxxxx -n kdp-data -- bash
+kubectl exec -it flink-session-cluster-xxxxx -n kdp-data -- bash
 ```
 
 在容器中执行以下命令：
@@ -334,5 +334,5 @@ group by
 运行作业
 
 - 在作业管理页面，点击该作业的`发布作业`按钮，稍等片刻，发布状态变为`Done` `Success`
-- 点击该作业的`启动作业`按钮，关闭弹窗中的`from savepoin`, 点击`应用`, 作业将提交到Flink session集群运行, 运行状态依次变为`Starting` `Running` 
+- 点击该作业的`启动作业`按钮，关闭弹窗中的`from savepoint`, 点击`应用`, 作业将提交到Flink session集群运行, 运行状态依次变为`Starting` `Running` 
 - 最后不需要运行时，作业的`停止作业`按钮，停止作业。

docs/zh/user-tutorials/import-from-rdbms-to-hive.md

@@ -48,7 +48,7 @@ Hue 安装完成之后会自动连上 hive server2，无需进行额外配置。
 kubectl get pods -n kdp-data -l app=flink-session-cluster -l component=jobmanager -o name
 # 进入 flink-session-cluster 容器
 # flink-session-cluster-xxxxx 替换成 pod 真实名称
-kubuectl exec -it flink-session-cluster-xxxxx -n kdp-data -- bash
+kubectl exec -it flink-session-cluster-xxxxx -n kdp-data -- bash
 # 启动 Flink SQL
 ./bin/sql-client.sh
 ```