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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 listed in the following table. The JDBC URL you define configure 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.

Target Database

Supported Cloud Location

Cloud Location in JDBC URL

Databricks Lakehouse Platform (DLP)

AWS

jdbc:spark://<your_instance_code>.cloud.databricks.com or jdbc:databricks://<your_instance_code>.cloud.databricks.com

Microsoft Azure

jdbc:spark://<your_instance_code>.azuredatabricks.net or jdbc:databricks://<your_instance_code>.azuredatabricks.net

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. 

Note

Using Alternate JDBC JAR File Versions

We recommend that you let the Snaps use the listed JAR file versions. However, you may use a choose a different JAR file version of your choice.

Snap-Account Compatibility

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

Snap

Databricks Account (Source-wise)#

ADLS Gen2

ADLS Blob Storage

AWS S3

GCS

JDBC (Any database)

Databricks File System (DBFS)

Databricks - Select

Databricks - Insert

Databricks - Delete

Databricks - Bulk Load

Databricks - Bulk UnloadMerge Into

Databricks - Bulk UnloadMulti Execute

Databricks - Multi ExecuteUnload

# Source type is required in

Configuring Databricks Accounts Using SnapLogic Designer

Drag Open the SnapLogic Designer and drag 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 (blue star)  icon to view the accounts to which you have access, and select the account that you want to use. 

  2. Click the Save (blue star) 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 ContinueThe Add Account dialog window associated with the account type appears., as shown:

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

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

  5. Click Apply to complete configuring the Databricks account.

Info

You can choose the Source/Target Location as None to perform operations within the Databricks tables.

Configuring Databricks Accounts Using SnapLogic Manager

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

Note

Accounts in SnapLogic are associated with projects. You can use accounts created in other projects only if you have at least Read access to them.

  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., as shown:

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

Note

Avoid updating account credentials while when Pipelines using that account are executing. Doing so may lead to unexpected results, including your account getting locked.

Snap Pack History

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