I'm resending this CVE from several months ago to user@ and dev@, as
we understand that a tool to exploit it may be released soon.
The most straightforward mitigation for those that are affected (using
the standalone master, where spark.authenticate is necessary) is to
update to 2.4.6 or 3.0.0+.
F
There was discussion around removing the statement and declaring it GA but
I believe it was decided to leave it in until an external shuffle service
is supported on K8s.
On Mon, Aug 3, 2020 at 2:45 AM JackyLee wrote:
> +1. It has been worked well in our company and we has used it to support
> on
Cool stuff! Moving it to the ASF would be a great first step.
I think you might want to check the IP Clearance template:
http://incubator.apache.org/ip-clearance/ip-clearance-template.html
This is the one being used when donating the Airflow Kubernetes operator
from Google to the ASF:
http://mail
+1. It has been worked well in our company and we has used it to support
online services since March in this year.
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Likewise, I'm not super familiar with this integration, but, it's been
out for several minor and one new major version, and doubt that it is
any more 'experimental' now that it ever will be.
Unless someone who knows more suggests that it's still really a WIP,
or that some aspects are still fairly s
Okay, seems like we can create a separate repo as apache/spark? e.g.)
https://issues.apache.org/jira/browse/INFRA-20470
We can also think about porting the files as are.
I will try to have a short sync with the author Maciej, and share what we
discussed offline.
2020년 7월 22일 (수) 오후 10:43, Maciej
Hi, all
A Spark user I know asked me this question.
I checked the the spark-on-k8s document and it says;
```
**The Kubernetes scheduler is currently experimental.
In future versions, there may be behavioral changes around configuration,
container images and entrypoints.**
```
https://github.com/ap