Overview

You must create Databricks accounts to connect to Databricks Snaps in your Pipelines with the source or target CDWs (databases). This account enables you to write-and-transform data in the target databases hosted in the following cloud locations. The JDBC URL you define for your target database indicates the respective cloud location where the database is hosted. You can configure your Databricks accounts in SnapLogic using either the Designer or the Manager.

Different settings are required to access your target database depending on your target database type. Choose your database type from the following list to configure your Snap account.

Supported JDBC JAR Version

You can configure your Databricks Account to automatically use the recommended JDBC JAR file - databricks-jdbc-2.6.25-1.jar for connecting to your target DLP instance and performing the load and transform operations. 

Snap-Account Compatibility

Snaps in the Databricks Snap Pack work with different accounts and protocols per the following table.

Configuring Databricks Accounts Using SnapLogic Designer

Drag a Databricks Snap to the Canvas and click the Snap to open its settings. Click the Account tab. You can now either use an existing account or create a new one.

Selecting an existing account

SnapLogic organizes and displays all accounts to which you have access, sorting them by account type and location. To select an existing account:

1. In the Account tab, click the List   icon to view the accounts to which you have access, and select the account that you want to use. 
   

2. Click the Save icon.
   

   

Creating an account

1. In the Account tab, click Add Account below the Account Reference field.
   

2. Select the Location in which you want to create the account, select the Account Type, and click Continue. The Add Account dialog window associated with the account type appears.

   

3. Enter the required account details. For detailed guidance on how to provide the information required for each account type, see the following articles:

   • Databricks Account (Source: ADLS Gen2)

   • Databricks Account (Source: ADLS Blob Storage)

   • Databricks Account (Source: AWS S3)

   • Databricks Account (Source: Google Cloud Storage)

   • Databricks Account using JDBC (Source: Any SQL Database)

4. Click Validate to verify the account, if the account type supports validation.

5. Click Apply to complete configuring the Databricks account.

Enter additional informationont this account in the Notes field of the Info tab. This will help you and other users understand the purpose of the account, especially if there are multiple accounts of the same type.

Configuring Databricks Accounts Using SnapLogic Manager

You can use Manager to create accounts without associating them immediately with Pipelines.

1. In the left pane, browse to the project in which you want to create the account and click  Create > Account > Databricks, followed by the appropriate account type. The Create Account dialog associated with the selected account type appears.
   

   

2. Repeat the steps numbered 3 through 5 in the Creating an account section.

Account Settings

Supported JDBC JAR Versions

You can configure your Databricks Account to automatically use an appropriate JDBC JAR file for connecting to your target database and performing the load and transform operations. 

Supported CDW

Certified JDBC JAR File

Azure Synapse

mssql-jdbc-10.2.0.jre8.jar

BigQuery

SimbaJDBCDriverforGoogleBigQuery42_1.2.22.1026.zip

DLP

databricks-jdbc-2.6.25-1.jar

Redshift

redshift-jdbc42-2.1.0.7.jar

Snowflake

snowflake-jdbc-3.13.18.jar

Using Alternate JDBC JAR File Versions

Snap Pack History

Related Links

• Accounts in SnapLogic

• Databricks Snap Pack