Plugins are platform extensions and provide a way to extend platform
functionality, not an application extensions.
It may be useful for others who participate in this discussion to
provide a use case outside of Mesos/Kubertenes support that shows
limitations of plugins and LIBRARY_JARS
The Apex platform system configuration is hardcoded in the Apex-core Java
code. But the platform does not have a flexible system configuration.
The plugins can only cover the run-time configuration of Apex applications.
It means the plugins cannot be a part of the system configuration of the
Apex platform dependencies are already covered with the compile time
check in place. Platform extensions are covered by plugins.
Thank you,
Vlad
On 2/4/18 08:56, Sergey Golovko wrote:
The usage of any Apex attributes is the generic configuration of Apex
applications on the end-user level.
The usage of any Apex attributes is the generic configuration of Apex
applications on the end-user level. But the subject of the discussion is to
provide the system level configuration of Apex applications. I guess the
having of the two different layers of the configuration (system and
end-user)
Yes generic in the Attribute class
> On Feb 3, 2018, at 10:00 AM, Vlad Rozov wrote:
>
> +1 assuming that support for merge/override will be generic for all
> attributes that support list/set of values and not limited to LIBRARY_JARS
> attribute only.
>
> Thank you,
>
>
+1 assuming that support for merge/override will be generic for all
attributes that support list/set of values and not limited to
LIBRARY_JARS attribute only.
Thank you,
Vlad
On 2/3/18 09:13, Pramod Immaneni wrote:
I too agree that the discussion has veered off from the original topic. Why
I too agree that the discussion has veered off from the original topic. Why
can't LIBRARY_JARS be used for this, albeit with a minor improvement?
Currently, our attribute layering is an override, so if you have an
attribute that is specified as apex.application..attr.
it overrides apex.attr. for
IMO, support for Kubernetes, Docker images, Mesos and anything outside
of Yarn deployments is a topic by itself and design for such support
needs to be discussed. I do not want to propose any specific design, but
assume that logic to create proper execution environment would be coded
into Apex
In cases where we have an "über" docker image containing support for
multiple execution environments it might be useful for the Apex core to
infer what kind of execution environment to use for a particular
invocation (say based on configuration values/environment variables) and
in that case the
Unfortunately the moving of .apa file to a docker image cannot resolve all
problems with the dependencies. If we assume an Apex application should be
run in different execution environments, the application docker image must
contain all possible execution environment dependencies.
I think the
The current dependencies are based on how Apex YARN client works. YARN
depends on a DFS implementation for deployment (not necessarily HDFS).
I think a better way to look at this is to consider that instead of an .apa
file the application is a docker image, which would contain Apex and all
I agree. It can be implemented with usage of plugins. But if I need to
enable and configurate the plugin I need to put this information into
dt-site.xml. It means The plugin and its parameter must be documented and
the list of the added specific jars will be visible and available for
updates to
There is a way to get the same end result by using plugins. It will be
good to understand why plugin can't be used and can they be extended to
provide the required functionality.
Thank you,
Vlad
On 1/29/18 15:14, Sergey Golovko wrote:
Hello All,
In Apex there are two ways to deploy
Hello All,
In Apex there are two ways to deploy non-Hadoop jars to the deployed
cluster.
The first approach is static (hardcoded) and it is used by Apex platform
developers only. There are several final static arrays of Java classes
in StramClient.java
that define which of the available jars
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