Github user barnardb commented on the issue:
https://github.com/apache/spark/pull/19354
I've updated the PR to leave the Kubernetes links as they are, and just to
add a link to the Nomad integration project with wording indicating that it's
not supported by the Spark project
Github user barnardb commented on the issue:
https://github.com/apache/spark/pull/19354
I totally understand the reluctance to have non-ASF projects in a list
headed by "The system currently supportsâ¦". Looking at the [Powered
By](https://spark.apache.org/powered-by.
Github user barnardb closed the pull request at:
https://github.com/apache/spark/pull/18209
---
-
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
GitHub user barnardb opened a pull request:
https://github.com/apache/spark/pull/19354
[SPARK-20992][Scheduler] Add links in documentation to Nomad integration.
## What changes were proposed in this pull request?
Adds links to the fork that provides integration with Nomad
GitHub user barnardb opened a pull request:
https://github.com/apache/spark/pull/18209
[SPARK-20992][Scheduler] Add support for Nomad as a scheduler backend
## What changes were proposed in this pull request?
Adds support for [Nomad](https://github.com/hashicorp/nomad
Github user barnardb commented on the issue:
https://github.com/apache/spark/pull/17551
> It's still running your code, right? Why can't you add a configuration to
your own code that tells it to wait some time before shutting down the
SparkContext?
We're trying to supp
Github user barnardb commented on the issue:
https://github.com/apache/spark/pull/17551
Our use case involves jobs running in a remote cluster without a Spark
master. I agree that the history server is the better to solve this, but we'd
like to get a solution that doesn't depend
GitHub user barnardb opened a pull request:
https://github.com/apache/spark/pull/17551
[SPARK-20242][Web UI] Add spark.ui.stopDelay
## What changes were proposed in this pull request?
Adds a spark.ui.stopDelay configuration property that can be used to keep
the UI running
