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  1. Preface
  2. Introduction to Databricks Connector
  3. Connections for Databricks
  4. Mappings for Databricks
  5. Migrating a mapping
  6. SQL ELT with Databricks Connector
  7. Data type reference
  8. Troubleshooting

Databricks Connector

Databricks Connector

Sources for Databricks

Sources for
Databricks

Add a Source transformation to extract data from a source.
When you add a Source transformation to a mapping, you define the source connection, source objects, and source properties related to the
Databricks
connection type.
The following table lists the source properties that are supported by SQL warehouse, all-purpose cluster, and job cluster:
Property
SQL warehouse
1
All-purpose cluster
2
Job cluster
3
Source Type - Single Object
Yes
Yes
Yes
Source Type - Parameter
Yes
Yes
Yes
Source Type - Query
Yes
No
No
Source Type - Multiple Objects
Yes
No
No
Parameter
Yes
No
Yes
Filter
Yes
No
Yes
Sort
No
No
No
Select distinct rows only
No
No
No
Database Name
Yes
No
Yes
Table Name
Yes
No
Yes
Pre SQL
Yes
No
No
Post SQL
Yes
No
No
SQL Override
Yes
No
No
Staging Location
Yes
No
Yes
Job Timeout
No
No
Yes
Job Status Poll Interval
No
No
Yes
DB REST API Timeout
No
No
Yes
DB REST API Retry Interval
No
No
Yes
Tracing Level
Yes
No
Yes
Key Range Partitioning
Yes
No
No
1
The Secure Agent connects to the SQL warehouse at design time and runtime.
2
The Secure Agent connects to the all-purpose cluster to import the metadata at design time.
3
The Secure Agent connects to the job cluster to run the mappings.

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