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Posted to commits@spark.apache.org by gu...@apache.org on 2020/02/21 01:09:45 UTC
[spark] branch branch-2.4 updated: [SPARK-30907][DOCS] Revise the
doc of spark.ui.retainedTasks
This is an automated email from the ASF dual-hosted git repository.
gurwls223 pushed a commit to branch branch-2.4
in repository https://gitbox.apache.org/repos/asf/spark.git
The following commit(s) were added to refs/heads/branch-2.4 by this push:
new 1b793ed [SPARK-30907][DOCS] Revise the doc of spark.ui.retainedTasks
1b793ed is described below
commit 1b793ed372b70446f7998e561bbf7eb9845827a9
Author: Gengliang Wang <ge...@databricks.com>
AuthorDate: Fri Feb 21 10:06:45 2020 +0900
[SPARK-30907][DOCS] Revise the doc of spark.ui.retainedTasks
### What changes were proposed in this pull request?
Revise the documentation of `spark.ui.retainedTasks` to make it clear that the configuration is for one stage.
### Why are the changes needed?
There are configurations for the limitation of UI data.
`spark.ui.retainedJobs`, `spark.ui.retainedStages` and `spark.worker.ui.retainedExecutors` are the total max number for one application, while the configuration `spark.ui.retainedTasks` is the max number for one stage.
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
None, just doc.
Closes #27660 from gengliangwang/reviseRetainTask.
Authored-by: Gengliang Wang <ge...@databricks.com>
Signed-off-by: HyukjinKwon <gu...@apache.org>
(cherry picked from commit 2a695e6d159fe49efe7601383fec4f3f172c5a97)
Signed-off-by: HyukjinKwon <gu...@apache.org>
---
docs/configuration.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/configuration.md b/docs/configuration.md
index b736d0c..1582082 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -860,7 +860,7 @@ Apart from these, the following properties are also available, and may be useful
<td><code>spark.ui.retainedTasks</code></td>
<td>100000</td>
<td>
- How many tasks the Spark UI and status APIs remember before garbage collecting.
+ How many tasks in one stage the Spark UI and status APIs remember before garbage collecting.
This is a target maximum, and fewer elements may be retained in some circumstances.
</td>
</tr>
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