Oracle Connector Guide > Mappings and Mapping Configuration Tasks with Oracle Connector > Oracle Sources in Mappings
  

Oracle Sources in Mappings

To write data to an Oracle source, configure an Oracle object as the Source transformation in a mapping. Enable partitioning when you configure the Source transformation in the Mapping Designer to optimize the performance of the Mapping Configuration task.
Specify the name and description of the Oracle source. You can configure the source and advanced properties for the source object.
The following table describes the properties that you can configure for an Oracle source:
Property
Description
Connection
Name of the source connection.
Source Type
Type of the source object. Select Single Object, Multiple Objects, or Parameter.
Object
Name of the source object for the mapping.
You can specify a custom query for a source object.
Filter
Adds conditions to filter records. Configure a simple or an advanced filter.
When you configure partitioning, separate multiple filter conditions with parentheses ().
Sort
Determines the order of the rows.
Add the ORDER BY clause in the select query with the COLUMN provided. By default, the sort is in ascending order.
Select distinct rows only
To read the unique rows from source in the select query.
The following table describes the advanced properties that you can configure for an Oracle source:
Advanced Property
Description
Tracing Level
Amount of detail that appears in the log for this transformation. You can choose terse, normal, verbose initialization, or verbose data. Default is normal.
Pre SQL
One or more SQL statements that are executed before the session runs..
Post SQL
One or more SQL statements that are executed after the session runs.
Output is deterministic
Relational source or transformation output that does not change between session runs when the input data is consistent between runs.
When you configure this property, the Data Integration Service does not stage source data for recovery if transformations in the pipeline always produce repeatable data.
Output is repeatable
Relational source or transformation output that is in the same order between session runs when the order of the input data is consistent.
When output is deterministic and output is repeatable, the Data Integration Service does not stage source data for recovery.