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Databricks Account (Source: DBFS)

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In this article

Overview

You can use this account type to connect Databricks Snaps with data sources that use a Databricks Account with a DBFS location as the source.

Prerequisites

  • A valid Databricks account.

  • Certified JDBC JAR File: databricks-jdbc-2.6.25-1.jar

Limitations and Known Issues

None.

Account Settings

  • Asterisk ( * ): Indicates a mandatory field.

  • Suggestion icon ( (blue star) ): Indicates a list that is dynamically populated based on the configuration.

  • Expression icon ( (blue star) ): Indicates whether the value is an expression (if enabled) or a static value (if disabled). Learn more about Using Expressions in SnapLogic.

  • Add icon ( (blue star) ): Indicates that you can add fields in the fieldset.

  • Remove icon ( (blue star) ): Indicates that you can remove fields from the fieldset.

Field Name

Field Type

Field Dependency

Description

Label*

Default Value: N/A
Example: STD DB Acc DeltaLake AWS ALD

String

None.

Specify a unique label for the account.

Account Properties*

Use this fieldset to configure the information required to establish a JDBC connection with the account.

This fieldset consists of the following fields:

  • Download JDBC Driver Automatically

  • JDBC URL

  • Use Token Based Authentication

  • Token

  • Database Name

  • Source/Target Location

  • DBFS Folder path (source for loading Databricks table)

Download JDBC Driver Automatically

Default Value: Not Selected

Example: Selected

Checkbox

None.

Select this checkbox to allow the Snap account to download the certified JDBC Driver for DLP. The following fields are disabled when this checkbox is selected:

  • JDBC JAR(s) and/or ZIP(s) : JDBC Driver

  • JDBC driver class

To use a JDBC Driver that of your choice, clear this checkbox, upload (to SLDB), and choose the required JAR files in the JDBC JAR(s): and/or ZIPs: JDBC Driver field.

Use of Custom JDBC JAR version

You can use a different JAR file version other than the recommended list of JAR file versions.

Spark JDBC and Databricks JDBC

If you do not select this checkbox and use an older JDBC JAR file (older than version 2.6.25), ensure that you use: 

  • The old format JDBC URL ( jdbc:spark:// ) instead of the new one ( jdbc:databricks:// )

    • For a JDBC driver prior to version 2.6.25, the JDBC URL starts with jdbc:spark://

    • For a JDBC driver version 2.6.25 or later, the JDBC URL starts with jdbc:databricks://

  • The older JDBC Driver Class com.simba.spark.jdbc.Driver instead of the new com.databricks.client.jdbc.Driver.

JDBC URL*

Default Value: N/A

Example: jdbc:spark://adb-2409532680880038.18.azuredatabricks.net:443/default;transportMode=http;ssl=1;httpPath=sql/protocolv1/o/2409532680880038/0326-212833-drier754;AuthMech=3;

String

None.

Enter the JDBC driver connection string that you want to use in the syntax provided below, for connecting to your DLP instance. Learn more in Microsoft's JDBC and ODBC drivers and configuration parameters.

jdbc:spark://dbc-ede87531-a2ce.cloud.databricks.com:443/default;transportMode=http;ssl=1;httpPath=
sql/protocolv1/o/6968995337014351/0521-394181-guess934;AuthMech=3;UID=token;PWD=<personal-access-token> 

Avoid passing a Password inside the JDBC URL

If you specify the password inside the JDBC URL, it is saved as it is and is not encrypted. Instead, we recommend using the provided Password field to ensure that your password is encrypted.

Use Token Based Authentication

Default value: Selected

Example: Not selected

Checkbox

None.

Select this checkbox to use token-based authentication for connecting to the target database (DLP) instance. Activates the Token field.

Token*

Default value: N/A

Example: <Encrypted>

String

Use Token Based Authentication checkbox is selected.

Enter the token value for accessing the target database/folder path.

Database name*

Default value: N/A

Example: Default

String

None.

Enter the name of the database to use by default. This database is used if you do not specify one in the Databricks Select or Databricks Insert Snaps.

Source/Target Location*

Default value: DBFS

Example: JDBC

Dropdown list

None.

Select the source or target data warehouse into which the queries must be loaded, that is DBFS. Activates the DBFS Folder path (source for loading Databricks table) field.

DBFS Folder path (source for loading Databricks table)

Default value: N/A

Example: /data_folder/path

String

Source/Target Location is DBFS.

Enter the folder path for the source files to be loaded from. The path must begin with a forward slash /.

Advanced Properties

Other parameters that you want to specify to configure the account.

URL properties

Use this fieldset to define the account parameter's name and its corresponding value. Click + to add the parameters and the corresponding values. Add each URL property-value pair in a separate row. 

URL property name

Default Value: N/A

ExamplequeryTimeout

N/A

None

Specify the name of the parameter for the URL property.

URL property value

Default Value: N/A

Example: 0

N/A

None

Specify the value for the URL property parameter.

Batch size*

Default Value: N/A

Example3

Integer

None

Specify the number of queries that you want to execute at a time.

  • If the Batch size is one, the query is executed as-is, that is the Snap skips the batch (nonbatch execution).

  • If the Batch size is greater than one, the Snap performs the regular batch execution.

Fetch size*

Default Value: 100

Example: 12

Integer

None

Specify the number of rows a query must fetch for each execution.

Larger values could cause the server to run out of memory.

Min pool size*

Default Value: 3

Example: 0

Integer

None

Specify the minimum number of idle connections that you want the pool to maintain at a time. 

Max pool size*

Default Value: 15

Example0

Integer

None

Specify the maximum number of connections that you want the pool to maintain at a time.

Max life time*

Default Value: 60

Example50

Integer

None

Specify the maximum lifetime of a connection in the pool, in seconds:

  • Ensure that the value you enter is a few seconds shorter than any database or infrastructure-imposed connection time limit.

  • 0 (zero) indicates an infinite lifetime, subject to the Idle Timeout value.

  • An in-use connection is never retired. Connections are removed only after they are closed.

Minimum value: 0
Maximum value: No limit

Idle Timeout*

Default Value5

Example4

Integer

None

Specify the maximum amount of time in seconds that a connection is allowed to sit idle in the pool. 

0 (zero) indicates that idle connections are never removed from the pool.

Minimum value: 0
Maximum value: No limit

Checkout timeout*

Default Value10000

Example9000

Integer

None

Specify the maximum time in milliseconds you want the system to wait for a connection to become available when the pool is exhausted.

If you provide 0, the Snap waits infinitely until the connection is available. Therefore, we recommend you not to specify 0 for Checkout Timeout.

Minimum value: 0
Maximum value: No limit

Snap Pack History

 Click here to expand...

Release

Snap Pack Version

Date

Type

Updates

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:

  • The Create table if not present checkbox is selected.

  • The target table does not exist.

  • The table metadata is provided in the second input view.

September 2022

430patches18305

Latest

The following fields are added to each Databricks Snap as part of this enhancement:

  • Number of Retries: The number of attempts the Snap should make to perform the selected operation when the Snap account connection fails or times out.

  • Retry Interval (seconds): The time interval in seconds between two consecutive retry attempts.

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:


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