Proper tuning of the database and the implementation of attribute and spatial indexes during the data loading operation will enhance the performance of any application. This is especially true for Pipeline Referencing because of the extensive data processing steps involved.
To get optimal performance from mapping events in Location Referencing for Pipelines, please ensure that your database has the appropriate indexes created.
|Table name||Multicolumn attribute index fields|
LRS Network feature class
Calibration Point feature class
Centerline feature class
Centerline Sequence table
Event feature class
Intersection feature class
Since the calibration point and centerline feature class are stored in a geodatabase, spatial indexes are automatically created and maintained for you. In some circumstances, recalculating a spatial index may improve performance, as described in Rebuild a spatial index.