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 |
|
Lookup 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.