diff --git a/docs/running-on-mesos.md b/docs/running-on-mesos.md index b1a54a089a542..fef4db77f7230 100644 --- a/docs/running-on-mesos.md +++ b/docs/running-on-mesos.md @@ -136,7 +136,7 @@ If you want to deploy a Spark Application into a Mesos cluster that is running i - `LIBPROCESS_SSL_KEY_FILE=pathToKeyFile.key` path to key - `LIBPROCESS_SSL_CERT_FILE=pathToCRTFile.crt` the certificate file to be used -All options can be found at http://mesos.apache.org/documentation/latest/ssl/ +All options can be found at [http://mesos.apache.org/documentation/latest/ssl/](http://mesos.apache.org/documentation/latest/ssl/) Then submit happens as described in Client mode or Cluster mode below @@ -579,7 +579,7 @@ See the [configuration page](configuration.html) for information on Spark config This only affects docker containers, and must be one of "docker" or "mesos". Mesos supports two types of containerizers for docker: the "docker" containerizer, and the preferred - "mesos" containerizer. Read more here: http://mesos.apache.org/documentation/latest/container-image/ + "mesos" containerizer. Read more here.
spark.yarn.driver.resource.<resource-type>.amount
instead.
Please note that this feature can be used only with YARN 3.0+
- For reference, see YARN Resource Model documentation: https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/ResourceModel.html
+ For reference, see YARN Resource Model documentation
Example:
To request GPU resources from YARN, use: spark.yarn.am.resource.yarn.io/gpu.amount
@@ -185,7 +185,7 @@ To use a custom metrics.properties for the application master and executors, upd
spark.yarn.driver.resource.yarn.io/gpu.amount
@@ -198,7 +198,7 @@ To use a custom metrics.properties for the application master and executors, upd
spark.yarn.executor.resource.yarn.io/gpu.amount