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.
Target Database | Supported Cloud Location | Cloud Location in JDBC URL |
---|---|---|
Databricks Lakehouse Platform (DLP) | jdbc:spark://<your_instance_code>.cloud.databricks.com | |
jdbc:spark://<your_instance_code>.azuredatabricks.net |
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.
Azure Synapse
BigQuery
Databricks Lakehouse Platform (DLP)
Redshift
Snowflake
Snap-Account Compatibility
Snaps in the Databricks Snap Pack work with different accounts and protocols per the following table.
Snap | Databricks Account |
---|---|
✔ | |
✔ | |
✔ | |
✔ | |
✔ | |
✔ | |
✔ |
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:
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.
Click the Save icon.
Creating an account
In the Account tab, click Add Account below the Account Reference field.
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.
Enter the required account details. For detailed guidance on how to provide the information required for each account type, see the following articles:
Enter additional information on 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.
Click Validate to verify the account, if the account type supports validation.
Click Apply to complete configuring the Databricks account.
Configuring Databricks Accounts Using SnapLogic Manager
You can use Manager to create accounts without associating them immediately with Pipelines.
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.
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.
Repeat the steps numbered 3 through 5 in the Creating an account section.
Avoid updating account credentials while Pipelines using that account are executing. Doing so may lead to unexpected results, including your account getting locked.
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
We recommend that you let the Snaps use the listed JAR file versions. However, you may use a different JAR file version of your choice.
Snap Pack History
Release | Snap Pack Version | Date | Type | Updates |
---|---|---|---|---|
August 2024 | main27765 | Stable | Upgraded the | |
May 2024 | 437patches27246 |
| Latest | Added Databricks - Run Job. This Snap executes a job, checks its status in Databricks, and, based on the job's status, completes or fails the pipeline. |
May 2024 | 437patches26400 |
| Latest | Fixed an invalid session handle issue with the Databricks Snap Pack that intermittently triggered an error message when the Snaps failed to connect with Databricks to execute the SQL statement. |
May 2024 | main26341 |
| Stable | Updated the Delete Condition (Truncates a Table if empty) field in the Databricks - Delete Snap to Delete condition (deletes all records from a table if left blank) to indicate that all entries will be deleted from the table when this field is blank, but no truncate operation is performed. |
February 2024 | main25112 |
| Stable | Updated and certified against the current SnapLogic Platform release. |
November 2023 | main23721 |
| Stable | Updated and certified against the current SnapLogic Platform release. |
August 2023 | main22460 |
| Stable | Updated and certified against the current SnapLogic Platform release. |
May 2023 | 433patches21630 |
| Latest | Enhanced the performance of the Databricks - Insert Snap to improve the amount of time it takes for validation. |
May 2023 | main21015 |
| Stable | Upgraded with the latest SnapLogic Platform release. |
February 2023 | main19844 |
| Stable | Upgraded with the latest SnapLogic Platform release. |
November 2022 | main18944 |
| Stable | The Databricks - Insert Snap now creates the target table only from the table metadata of the second input view when the following conditions are met:
|
September 2022 | 430patches18305 |
| Latest |
The following fields are added to each Databricks Snap as part of this enhancement:
|
September 2022 | 430patches17796 |
| Latest | The Manage Queued Queries property in the Databricks Snap Pack enables you to decide whether a given Snap should continue or cancel executing the queued Databricks SQL queries. |
August 2022 | main17386 |
| Stable | Upgraded with the latest SnapLogic Platform release. |
4.29.2.0 | 42920rc17045 |
| Latest | A new Snap Pack for Databricks Lakehouse Platform (Databricks or DLP) introduces the following Snaps:
|