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The following commit(s) were added to refs/heads/master by this push:
     new 231df6276f1 [FLINK-31378][doc] Fix dev/configuration overview.md
231df6276f1 is described below

commit 231df6276f172434e81a18ad4234557b2d1d711a
Author: Wencong Liu <[email protected]>
AuthorDate: Sun Mar 12 20:48:14 2023 +0800

    [FLINK-31378][doc] Fix dev/configuration overview.md
    
    This closes #22163
---
 docs/content.zh/docs/dev/configuration/overview.md | 2 +-
 docs/content/docs/dev/configuration/overview.md    | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/content.zh/docs/dev/configuration/overview.md 
b/docs/content.zh/docs/dev/configuration/overview.md
index 1849ca86951..fea5a49539f 100644
--- a/docs/content.zh/docs/dev/configuration/overview.md
+++ b/docs/content.zh/docs/dev/configuration/overview.md
@@ -229,7 +229,7 @@ Flink提供了两大 API:[Datastream API]({{< ref 
"docs/dev/datastream/overvie
 
 ## 运行和打包
 
-如果你想通过简单地执行主类来运行你的作业,你需要 classpath 里有 `flink-runtime`。对于 Table API 程序,你还需要 
`flink-table-runtime` 和 `flink-table-planner-loader`。
+如果你想通过简单地执行主类来运行你的作业,你需要 classpath 里包含 `flink-clients`。对于 Table API 程序,你还需要在 
classpath 中包含 `flink-table-runtime` 和 `flink-table-planner-loader`。
 
 根据经验,我们**建议**将应用程序代码及其所有必需的依赖项打包进一个 fat/uber JAR 
中。这包括打包你作业用到的连接器、格式和第三方依赖项。此规则**不适用于** Java API、DataStream Scala API 
以及前面提到的运行时模块,它们已经由 Flink 本身提供,**不应**包含在作业的 uber JAR 中。你可以把该作业 JAR 提交到已经运行的 
Flink 集群,也可以轻松将其添加到 Flink 应用程序容器镜像中,而无需修改发行版。
 
diff --git a/docs/content/docs/dev/configuration/overview.md 
b/docs/content/docs/dev/configuration/overview.md
index 297bc5b4ade..bedd5d565f4 100644
--- a/docs/content/docs/dev/configuration/overview.md
+++ b/docs/content/docs/dev/configuration/overview.md
@@ -224,7 +224,7 @@ Just include them in your build tool script/descriptor, and 
you can start develo
 
 ## Running and packaging
 
-If you want to run your job by simply executing the main class, you will need 
`flink-runtime` in your classpath.
+If you want to run your job by simply executing the main class, you will need 
`flink-clients` in your classpath.
 In case of Table API programs, you will also need `flink-table-runtime` and 
`flink-table-planner-loader`.
 
 As a rule of thumb, we **suggest** packaging the application code and all its 
required dependencies into one fat/uber JAR.

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