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H2O to Spark (legacy)

AnalyticsIntegrationsH2O Machine LearningIOWrite
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Creates a Spark Data Frame from an H2O Frame.

Note: Support for Sparkling Water is being phased out, and no support will be added for upcoming Spark versions. As of now, Sparkling Water is not supported anymore on clusters with Spark 3.4 or higher, e.g. Databricks. Only the "Create Local Big Data Environment" node is currently still supported, however this support will also be removed in the near future.

Node details

Input ports
  1. Type: H2O Frame
    Spark Data Frame
    Spark Data Frame.
Output ports
  1. Type: Spark Data
    KNIME table
    KNIME Data Table.

Extension

The H2O to Spark (legacy) node is part of this extension:

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Related workflows & nodes

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