Hi Vishwas,
For question #1,
You can use *env.java.opts* to customize java opts for all flink JVMs,
including JM and TM.
Or you can use *env.java.opts.jobmanager* or
*env.java.opts.taskmanager* accordingly
for JM or TM.
For question #2,
You can use* -C* to specify user classpaths when invoking *flink run*. The
option description is as below,
*"classloader on all nodes in the cluster. The paths must specify a
protocol (e.g. file://) and be " + "accessible on all nodes (e.g. by means
of a NFS share). You can use this option multiple " + "times for specifying
more than one URL. The protocol must be supported by the " + "{@link
java.net.URLClassLoader}."*
I think it should work.
Thanks,
Zhu Zhu
Vishwas Siravara 于2019年8月8日周四 上午1:03写道：
> Hi ,
> I am running flink on a standalone cluster without any resource manager
> like yarn or K8s. I am submitting my job using command line "*f**link run
> ..." . *I have a couple of questions:
>
> *1. *How can I pass JVM parameters to this job. I want to pass a
> parameter for a dylib like this
> -Djava.library.path=/Users/vsiravar/temp/apollo/aipcryptoclient/lib .
>
> 2. If I want to add an external directory on my server to my classpath ,
> how can I do that ?
>
> Thanks for all the help. I am truly grateful for all the help I have got
> building my flink app.
>
> Thanks,
> Vishwas
>
