InternalBackendConf

Value Members

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6. val PROP_CLOUD_TIMEOUT: (String, Int)

   Configuration property - timeout for cloud up.

7. val PROP_CLUSTER_SIZE: (String, None.type)

   Configuration property - expected number of workers of H2O cloud.

   Configuration property - expected number of workers of H2O cloud. Value None means automatic detection of cluster size.

8. val PROP_DEFAULT_CLUSTER_SIZE: (String, Int)

   Starting size of cluster in case that size is not explicitly passed

9. val PROP_DUMMY_RDD_MUL_FACTOR: (String, Int)

   Configuration property - multiplication factor for dummy RDD generation.

   Configuration property - multiplication factor for dummy RDD generation. Size of dummy RDD is PROP_CLUSTER_SIZE*PROP_DUMMY_RDD_MUL_FACTOR

10. val PROP_NODE_ICED_DIR: (String, String)

    Location of iced directory for Spark nodes

11. val PROP_NODE_LOG_DIR: (String, String)

    Location of log directory for remote nodes.

12. val PROP_NODE_LOG_LEVEL: (String, String)

    H2O internal log level for launched remote nodes.

13. val PROP_NODE_NETWORK_MASK: (String, String)

    Subnet selector for H2O nodes running inside executors - if the mask is specified then Spark network setup is not discussed.

14. val PROP_NODE_PORT_BASE: (String, Int)

    Configuration property - base port used for individual H2O nodes configuration.

15. val PROP_SPREADRDD_RETRIES: (String, Int)

    Configuration property - number of retries to create an RDD spread over all executors

16. val PROP_SUBSEQ_TRIES: (String, Int)

    Subsequent successful tries to figure out size of Spark cluster which are producing same number of nodes.

17. val PROP_USE_FLATFILE: (String, Boolean)

    Configuration property - use flatfile for H2O cloud formation.

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