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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

Lookups for Databricks

Lookups for Databricks

Add a Lookup transformation to retrieve data based on a specified lookup condition. When you add a Lookup transformation to a mapping, you define the lookup connection, lookup objects, and lookup properties related to Databricks.
In the Lookup transformation, select the lookup connection and object. Then, define the lookup condition and the outcome for multiple matches.
The mapping queries the lookup source based on the lookup fields and the defined lookup condition. The lookup operation returns the result to the Lookup transformation, which then passes the results downstream.
You can configure the following lookups:
  • Connected.
    You can use a cached or uncached connected lookup for mappings. You can also use a dynamic lookup cache to keep the lookup cache synchronized with the target.
  • Unconnected.
    You can use a cached lookup. You need to supply input values for an unconnected Lookup transformation from a :LKP expression in a transformation that uses an Expression transformation.
Lookup transformation doesn't apply to mappings in advanced mode.
For more information about Lookup transformation, see
Transformations
in the Data Integration documentation.

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