While working with large enterprise GIS datasets in ArcGIS Pro SDK, one issue I frequently encountered was slow feature retrieval during editing workflows.
At first glance, the map appeared to be the problem.
But after profiling the workflow, the real bottlenecks were:
- repeated database calls
- unoptimized query filters
- unnecessary feature refreshes
- retrieving more attributes than required
A few small changes made a noticeable difference.
What helped
1. Selecting only required fields
Instead of retrieving all attributes:
queryFilter.SubFields = "OBJECTID, NAME, STATUS";
Reducing payload size improved responsiveness significantly.
2. Avoiding repeated queries during typing
For search-based workflows, triggering queries on every keystroke caused excessive database activity.
Using a debounce pattern with CancellationTokenSource reduced unnecessary calls and improved UI responsiveness.
3. Using proper WHERE clauses
Large enterprise geodatabases benefit heavily from efficient filtering.
Instead of broad queries:
STATUS IS NOT NULL
More selective filters reduced execution time dramatically.
4. Minimizing redraw operations
Frequent layer refreshes can become expensive with large datasets.
Reducing unnecessary redraw cycles improved overall user experience.
5. Keeping expensive operations off the UI thread
Using async patterns and QueuedTask.Run appropriately helped avoid UI freezing during geodatabase operations.
Key takeaway
In enterprise GIS systems, performance problems are often caused by workflow inefficiencies rather than rendering alone.
Small architectural improvements can create major gains in:
- responsiveness
- scalability
- user experience
Curious how others are optimizing large-scale GIS editing and querying workflows.
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