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Create Databricks Environment (deprecated)

Tools & Services Apache Spark
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Creates a Databricks Environment connected to an existsing Databricks cluster. See AWS or Azure Databricks documentation for more information.

Note: To avoid an accidental cluster startup, this node creates a dummy DB and Spark port if loaded in executed state from a stored workflow. Reset and execute the node to start the cluster and create a Spark execution context.

Cluster access control : KNIME uploads additional libraries to the cluster. This requires manage cluster-level permissions if your cluster is secured with access control. See the Databricks documentation on how to set up the permission.

Node details

Output ports
  1. Type: DB Session
    DB Connection
    JDBC connection, that can be connected to the KNIME database nodes.
  2. Type: Remote Connection
    DBFS Connection
    DBFS connection, that can be connected to the Spark nodes to read/write files.
  3. Type: Spark Context
    Spark Context
    Spark context, that can be connected to all Spark nodes.

Extension

The Create Databricks Environment (deprecated) node is part of this extension:

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Related workflows & nodes

  1. Go to item
    Connecting to Databricks
    Databricks Databricks delta Dbfs
    +1
    This workflow shows how to connect to a Databricks cluster and utilize various KNIME node…
    knime > Examples > 10_Big_Data > 01_Big_Data_Connectors > 06_Connecting_to_Databricks

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