This is an automated email from the ASF dual-hosted git repository.

davidradl pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/flink.git


The following commit(s) were added to refs/heads/master by this push:
     new 325e6344be0 [hotfix][docs] Fix inaccurate description of slot sharing 
benefit (#28109)
325e6344be0 is described below

commit 325e6344be0650383667476639ee01898b55cfc5
Author: Huanglin Shen <[email protected]>
AuthorDate: Tue May 5 16:54:55 2026 +0800

    [hotfix][docs] Fix inaccurate description of slot sharing benefit (#28109)
---
 docs/content.zh/docs/concepts/flink-architecture.md | 2 +-
 docs/content/docs/concepts/flink-architecture.md    | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/content.zh/docs/concepts/flink-architecture.md 
b/docs/content.zh/docs/concepts/flink-architecture.md
index f1889501894..6d519b9a345 100644
--- a/docs/content.zh/docs/concepts/flink-architecture.md
+++ b/docs/content.zh/docs/concepts/flink-architecture.md
@@ -87,7 +87,7 @@ _JobManager_ 具有许多与协调 Flink 应用程序的分布式执行有关的
 
 默认情况下,Flink 允许 subtask 共享 slot,即便它们是不同的 task 的 subtask,只要是来自于同一作业即可。结果就是一个 
slot 可以持有整个作业管道。允许 *slot 共享*有两个主要优点:
 
-  - Flink 集群所需的 task slot 和作业中使用的最大并行度恰好一样。无需计算程序总共包含多少个 task(具有不同并行度)。
+  - 一个 Flink 作业所需的 task slot 和该作业中使用的最大并行度恰好一样。无需计算程序总共包含多少个 task(具有不同并行度)。
 
   - 容易获得更好的资源利用。如果没有 slot 共享,非密集 subtask(*source/map()*)将阻塞和密集型 
subtask(*window*) 一样多的资源。通过 slot 共享,我们示例中的基本并行度从 2 增加到 6,可以充分利用分配的资源,同时确保繁重的 
subtask 在 TaskManager 之间公平分配。
 
diff --git a/docs/content/docs/concepts/flink-architecture.md 
b/docs/content/docs/concepts/flink-architecture.md
index 9531d0dfafd..5932e6755b2 100644
--- a/docs/content/docs/concepts/flink-architecture.md
+++ b/docs/content/docs/concepts/flink-architecture.md
@@ -143,7 +143,7 @@ different tasks, so long as they are from the same job. The 
result is that one
 slot may hold an entire pipeline of the job. Allowing this *slot sharing* has
 two main benefits:
 
-  - A Flink cluster needs exactly as many task slots as the highest parallelism
+  - A Flink job needs exactly as many task slots as the highest parallelism
     used in the job.  No need to calculate how many tasks (with varying
     parallelism) a program contains in total.
 

Reply via email to