How to connect to Azure Databricks from Denodo

Applies to: Denodo 8.0 , Denodo 7.0
Last modified on: 13 Jan 2021
Tags: Azure Cloud Databricks JDBC data sources

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Goal

This document describes how to connect to Azure Databricks from Denodo Virtual DataPort.

Content

Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure cloud services.

Connecting to Azure Databricks from Denodo

  • From the Denodo Design Studio, create a new JDBC data source by selecting Virtual Database > New > Data source > JDBC. This will open the wizard to create a connection to JDBC data source.

 

  • Provide the Name for the JDBC Data source.

  • Select the respective Database adapter. In this example, we are using the Spark SQL 2.x Databricks Adapter.
  • Next, provide the  Database URI.  
    Format : ‘jdbc:spark://<host_name>:<port>/<database_name>;, also, some parameters can be added to URI after the database name like httpPath, Spark Server Type, SSL etc. To know more about the parameters refer to Configure JDBC/ODBC connection.
  • You can select what type of Transaction Isolation you want from the options provided. In this example, we use the ‘Database Default’.
  •   Authentication: There are three options provided. In our example, we are using the ‘Use login and password’.
  •   In the Login provide the username you use for the Azure Databricks instance.
  •   In the Password, provide the access key token.
  •  After providing the connection, you can test the connection by clicking on the Test     Connection button.
  •  You should be getting the ‘Spark SQL <Version>


  • Save the data source.
  • Once saved, click on the ‘Create base view’ tab to introspect source metadata available through the Data Source.
  • To incorporate some of the tables into the Denodo virtual schema, you have to check the box near the tables or views you want to import and then click ‘Create selected’.

  • Click ‘Save’ to save the base view

  • You can also use the ‘Create from query’ option if you wish to custom your base view.

References

Virtual DataPort Administration Guide -  JDBC Sources

Virtual DataPort Administration Guide - Supported JDBC Data Sources

Azure Databricks Documentation - Configure JDBC/ODBC connection

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