Arseniy Tashoyan created SPARK-34345:
----------------------------------------

             Summary: Allow several files property files
                 Key: SPARK-34345
                 URL: https://issues.apache.org/jira/browse/SPARK-34345
             Project: Spark
          Issue Type: Improvement
          Components: Spark Submit
    Affects Versions: 3.0.1
            Reporter: Arseniy Tashoyan


Example: we have 2 applications A and B. These applications have some common 
Spark settings and some application-specific settings. The idea is to run them 
like this:

{code:bash}
spark-submit --properties-files common.properties,a.properties A
spark-submit --properties-files common.properties,b.properties B
{code}

Benefits:
- Common settings can be extracted to a common file _common.properties_, no 
need to copy them over _a.properties_ and _b.properties_
- Applications can override common settings in their respective custom 
properties files

Currently the following mechanism works in SparkSubmitArguments.scala: console 
arguments like _--conf key=value_ overwrite settings in the properties file. 
This is not enough, because console arguments should be specified in the 
launcher script; de-facto they belong to the binary distribution rather than 
the configuration.

Consider the following scenario: Spark on Kubernetes, the configuration is 
provided as a ConfigMap. We could have the following ConfigMaps:
- _a.properties_ // mount to the Pod with application A
- _b.properties_ // mount to the Pod with application B
- _common.properties_ // mount to both Pods with A and B
Meanwhile the launcher script _app-submit.sh_ is the same for both applications 
A and B, since it contains none configuration settings:

{code:bash}
spark-submit --properties-files common.properties,${app_name}.properties ...
{code}




--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to