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https://issues.apache.org/jira/browse/SPARK-6284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14980038#comment-14980038
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Lei Xu commented on SPARK-6284:
-------------------------------
join this thread.
We have the same problems.
Mesos 0.25.0 - 3 masters & 38 slaves, with roles:
* cpus(spark):16;
* port\(\*\):\[8000-32000\];mem\(\*\):126976
* other framework roles..
Spark 1.5.0 was deployed in "cluster" mode, with 3 scheduler properties:
* spark.mesos.secret=4bbd7991de80b50bbbc5e272e7f67aff
* spark.mesos.role=spark
* spark.mesos.principal=spark
and task failed with message:
state: TASK_ERROR message: "Task uses more resources cpus\(\*\):1;
mem\(\*\):2048 than available mem\(\*\):126976; ports\(\*\):\[8000-32000\];
disk\(\*\):1.04152e+06; cpus(spark):16" slave_id { value:
"69d525a7-3a63-4b4d-a269-5aa478f8c15f-S36" } timestamp: 1.446104736756061E9
source: SOURCE_MASTER reason: REASON_TASK_INVALID
Could you please show some examples to describe how to specify a job run with
"spark" role on Mesos ?
> Support framework authentication and role in Mesos framework
> ------------------------------------------------------------
>
> Key: SPARK-6284
> URL: https://issues.apache.org/jira/browse/SPARK-6284
> Project: Spark
> Issue Type: Improvement
> Components: Mesos
> Reporter: Timothy Chen
> Assignee: Timothy Chen
> Fix For: 1.5.0
>
>
> Support framework authentication and role in both Coarse grain and fine grain
> mode.
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