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https://issues.apache.org/jira/browse/FLINK-16943?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17073559#comment-17073559
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sunjincheng commented on FLINK-16943:
-------------------------------------

I think the best situation is that Java also supports job submission with 
multiple jars, but no matter what, PyFlink must need this function, so I think 
it's reasonable to add 'add_jars' interface in PyFlink (Does not affect any 
other Java modules).  The implementation of 'add_jars' is transparent to users. 
We can align with Java at any time in the future, if necessary. i.e. we want to 
ensure the compatibility of follow up versions.

> Support adding jars in PyFlink
> ------------------------------
>
>                 Key: FLINK-16943
>                 URL: https://issues.apache.org/jira/browse/FLINK-16943
>             Project: Flink
>          Issue Type: Improvement
>          Components: API / Python
>            Reporter: Wei Zhong
>            Priority: Major
>
> Since flink-1.10.0 released, many users have complained that PyFlink is 
> inconvenient when loading external jar packages. For local execution, users 
> need to copy the jar files to the lib folder under the installation directory 
> of PyFlink, which is hard to locate. For job submission, users need to merge 
> their jars into one, as `flink run` only accepts one jar file. It may be easy 
> for Java users but difficult for Python users if they haven't touched Java.
> We intend to add a `add_jars` interface on PyFlink TableEnvironment to solve 
> this problem. It will add the jars to the context classloader of Py4j gateway 
> server and add to the `PipelineOptions.JARS` of the configuration of 
> StreamExecutionEnviornment/ExecutionEnviornment.
> Via this interface, users could add jars in their python job. The jars will 
> be loaded immediately, and users could use it even on the next line of the 
> Python code. Submitting a job with multiple external jars won't be a problem 
> anymore because all the jars in `PipelineOptions.JARS` will be added to the 
> JobGraph and upload to the cluster.
> As it is not a big change I'm not sure whether it is necessary to create a 
> FLIP to discuss this. So I created a JIRA first for flexibility. What do you 
> think guys?



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