ai.h2o.sparkling.backend.external
Timeout for confirmation from worker nodes when stopping the external backend.
Timeout for confirmation from worker nodes when stopping the external backend. It is also possible to pass -1 to ensure the indefinite timeout. The unit is milliseconds.
Path to h2o driver
HDFS dir for external h2o nodes when starting in auto mode
Path to a file used as cluster notification file
If true, the client will try to kill the cluster and then itself in case some nodes in the cluster report unhealthy status
ip:port of arbitrary h2o node to identify external h2o cluster
Number of nodes to wait for when connecting to external H2O cluster in manual mode.
Number of nodes to wait for when connecting to external H2O cluster in manual mode. In auto mode, number of nodes to be started. This option does not have any effect in manual cluster start in case spark.ext.h2o.rest.api.based.client is set to true
If this option is set to "auto" then h2o external cluster will be automatically started using the provided h2o driver on yarn, otherwise it is expected that the cluster will be started by the user
Timeout in seconds for starting h2o external cluster
Yarn queue on which external cluster should be started
The type of compression used for data transfer between Spark and H2O nodes
Disable version check of external H2O backend
Comma-separated paths to jar files that will be placed onto classpath of each H2O node.
Number of memory assigned to each external h2o node when starting in auto mode
Hadoop executable used to start external H2O cluster on Hadoop
Path to Kerberos key tab
Kerberos principal
Impersonated Hadoop user