guoweiM commented on a change in pull request #10256: [FLINK-14467][runtime] 
Let MesosJobClusterEntrypoint use user code class loader
URL: https://github.com/apache/flink/pull/10256#discussion_r348931566
 
 

 ##########
 File path: 
flink-runtime/src/main/java/org/apache/flink/runtime/clusterframework/overlays/FlinkDistributionOverlay.java
 ##########
 @@ -43,13 +43,14 @@
  * possible to bypass this overlay and rely on the normal installation method.
  *
  * <p>The following files are copied to the container:
- *  - flink/bin/
- *  - flink/conf/
- *  - flink/lib/
+ *  - bin/
 
 Review comment:
   The `AbstractUserClassPathJobGraphRetriever` has an assumption:
   The process of `TaskManager` and `ClusterEntryPoint` has the same directory 
structure about the current working dir. This implies that the relative paths 
of the user jar files, which are retrieved at the `CusterEntryPoint` process 
could be accessed by `TaskManager` processes.
   
   Before this pr, the working directory of the `TaskManager` process looks like
   <pre>
   |_flink
          |_bin
          |_conf
          |_lib
   </pre>
   
   There might be three ways to satisfy the above assumption:
   1. Let the user make a `flink` directory and start  the cluster using the 
cmd `flink/bin/mesos-appmaster-job.sh .....`
   
   1. `cd` into the `flink` directory before starting the `TaskManager` 
process. I think it is a little weird that we make a directory then cd into it 
and run a cmd.
   
   1. The third method is to remove the `flink` prefix.
   
   I prefer the third one is because this way does not let the user do anything 
and could keep the view of the working directory of the `TaskManager` for 
`Standalone&Yarn&Mesos` same(almost).
   

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