apache spark - Difference between YARN deployment modes - CLUSTER and CLIENT modes on the machine with a node manager -


for me difference in first case driver inside app master jvm whereas next above client mode configuration. different in 2 cases ?

spark deployment mode - client vs cluster

client mode

  • it's interactive. if want job result (dynamic analysis) @ machine (client - driver program), client deployment mode quite useful.
  • easier developing/debugging.
  • end user have control driver program running
  • always application: expose spark job launcher rest service or web ui.

cluster mode

  • easier resource allocation (let master decide): fire , forget
  • due fire-n-forget behavior, it's submit long, resource hungry job in cluster mode.
  • monitoring driver program done master web ui other workers. (not client machine)
  • stop @ end: once job finished, allocated resources freed automatically.
  • in cluster mode, if driver program has issue, yarn restarts driver without killing executors.
  • in client mode, yarn automatically kills executors if driver killed.

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