Hi, Although Spark is fault tolerant when nodes go down like below:
FROM tmp [Stage 1:===========> (20 + 10) / 100]16/08/11 20:21:34 ERROR TaskSchedulerImpl: Lost executor 3 on xx.xxx.197.216: worker lost [Stage 1:========================> (44 + 8) / 100] It can carry on. However, when the node (the host) that the app was started on goes down the job fails as the driver disappears as well. Is there a way to avoid this single point of failure, assuming what I am stating is valid? Thanks Dr Mich Talebzadeh LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* http://talebzadehmich.wordpress.com *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction.
