Skip to content

[SPARK-12805][Mesos] Fixes documentation on Mesos run modes #10740

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 1 commit into from
Closed

[SPARK-12805][Mesos] Fixes documentation on Mesos run modes #10740

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 5 additions & 7 deletions docs/running-on-mesos.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -202,7 +202,7 @@ where each application gets more or fewer machines as it ramps up and down, but
additional overhead in launching each task. This mode may be inappropriate for low-latency
requirements like interactive queries or serving web requests.

To run in coarse-grained mode, set the `spark.mesos.coarse` property to false in your
To run in fine-grained mode, set the `spark.mesos.coarse` property to false in your
[SparkConf](configuration.html#spark-properties):

{% highlight scala %}
Expand Down Expand Up @@ -266,13 +266,11 @@ See the [configuration page](configuration.html) for information on Spark config
<tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr>
<tr>
<td><code>spark.mesos.coarse</code></td>
<td>false</td>
<td>true</td>
<td>
If set to <code>true</code>, runs over Mesos clusters in
<a href="running-on-mesos.html#mesos-run-modes">"coarse-grained" sharing mode</a>,
where Spark acquires one long-lived Mesos task on each machine instead of one Mesos task per
Spark task. This gives lower-latency scheduling for short queries, but leaves resources in use
for the whole duration of the Spark job.
If set to <code>true</code>, runs over Mesos clusters in "coarse-grained" sharing mode, where Spark acquires one long-lived Mesos task on each machine.
If set to <code>false</code>, runs over Mesos cluster in "fine-grained" sharing mode, where one Mesos task is created per Spark task.
Detailed information in <a href="running-on-mesos.html#mesos-run-modes">'Mesos Run Modes'</a>.
</td>
</tr>
<tr>
Expand Down