Prerequisites for creating AWS SQL Warehouse Connection
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Before creating an AWS SQL Warehouse connection without Spark, complete the following prerequisites.
Unity Catalog must be enabled on your Databricks cluster.
To create a storage credential for connecting to AWS S3, refer to Databricks documentation.
Test the newly created external location by clicking the 'Test connection' button. This will validate the connection with the external location path. Through the permissions tab, assign your user the CREATE EXTERNAL TABLE role.
Go to semantic model Advanced Properties, and add the following properties:
temp catalog name for create parquet table = kyvos.sqlwarehouse.catalog
temp database name for create parquet table = kyvos.sqlwarehouse.tempdb
You must have 'create table and Use schema' permissions on the temp catalog.
Creating AWS SQL Warehouse connection with no-Spark
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To create AWS SQL Warehouse connection for processing semantic models without Spark, perform the following steps.
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After you finish configuring the settings using the table shown below the screenshot, click the Test button from the top left to validate the connection settings.
If the connection is valid, click the Save button.
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Connection Details in Kyvos for Sanity Suite
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To create AWS SQL Warehouse connection for sanity suite, perform the following steps.
Parameter | Description |
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Name | Enter SanityConnection as a name. |
Category | Select the Warehouse option. |
Provider | Select the Generic option. |
Driver | Enter the Driver class as com.databricks.client.jdbc.Driver |
URL | Enter JDBC Databricks URL. |
Username | Enter Databricks token. |
Password | Enter Databricks token. |
Authentication Type | Select Personal Access Token. |
Use as Source | This checkbox is auto selected. Enter Spark Read Method as JDBC. |
Is Default SQL Engine | To enable the connection for raw data, click the Is Default SQL Engine checkbox to set this connection to run the default SQL engine. |
Properties | Click Properties to view or set properties. |
Catalog Enabled | Select this checkbox to list different catalog created in the workspace. |
Working with Databricks SQL warehouse with Personal Token
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Kyvos supports Databricks SQL warehouse to enable the execution of ROLAP and MOLAP queries.
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Creating Databricks SQL Warehouse connection with Personal Token
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From the Toolbox, click Setup, then choose Connections.
From the Actions menu ( ⋮ ), click Add Connection.
Enter a Name for the connection.
From the Category drop-down list, select the Warehouse option.
From the Provider list, select the DatabricksSQL option.
The Driver Class field is prepopulated.
Enter Databricks SQL Warehouse JDBC URL. For more information, see Microsoft documentation.
Enter Username as token.
Enter Databricks SQL Personal Access Token for the Databricks SQL workspace in the Password field.
The Use as Source checkbox is disabled as this is a source connection.
To use this connection as the default SQL engine, select the Is Default SQL Engine checkbox.
Select the Catalog Enabled checkbox. It is mandatory to enabled it for Databricks SQL.
Click the Properties link to view or set properties.
After configuring the settings, click the Save button.
To refresh connections, click the Actions menu ( ⋮ ) at the top of the Connections column and select Refresh.
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