Snap Pack history: Databricks
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Updates |
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Updated and certified against the current SnapLogic Platform release. |
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Updated and certified against the current SnapLogic Platform release. |
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Enhanced the Databricks Account to support M2M authentication, allowing secure connections using a Client ID and Client secret. The basic authentication for Databricks using a username and password is no longer supported since July 10, 2024. |
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Enhanced the following Databricks Snaps to support the Unity catalog that enables you to access catalog data from the database. |
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Updated and certified against the current SnapLogic Platform release. |
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Upgraded the org.json.json library from v20090211 to
v20240303, which is fully backward compatible. |
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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. |
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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. |
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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. |
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Updated and certified against the current SnapLogic Platform release. |
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Updated and certified against the current SnapLogic Platform release. |
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Updated and certified against the current SnapLogic Platform release. |
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Enhanced the performance of the Databricks - Insert Snap to improve the amount of time it takes for validation. |
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Updated and certified against the current SnapLogic Platform release. |
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Updated and certified against the current SnapLogic Platform release. |
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Updated and certified against the current SnapLogic Platform release. |
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The following fields are added to each Databricks Snap as part of this enhancement:
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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. |
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Updated and certified against the current SnapLogic Platform release. |
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A new Snap Pack for Databricks Lakehouse Platform (Databricks or DLP)
introduces the following Snaps:
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