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org.apache.spark.h2o.backends.internal

InternalBackendConf

Related Docs: trait InternalBackendConf | package internal

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object InternalBackendConf

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

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    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.

  5. val PROP_DEFAULT_CLUSTER_SIZE: (String, Int)

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

  6. val PROP_DUMMY_RDD_MUL_FACTOR: (String, Int)

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    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

  7. val PROP_INTERNAL_SECURE_CONNECTIONS: (String, Boolean)

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    Secure internal connections by automatically generated credentials

  8. val PROP_NODE_ICED_DIR: (String, None.type)

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    Location of iced directory for Spark nodes

  9. val PROP_NODE_NETWORK_MASK: (String, None.type)

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

  10. val PROP_NODE_PORT_BASE: (String, Int)

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

  11. val PROP_SPREADRDD_RETRIES: (String, Int)

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

  12. val PROP_SUBSEQ_TRIES: (String, Int)

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

  13. val PROP_USE_FLATFILE: (String, Boolean)

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    Configuration property - use flatfile for H2O cloud formation.

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