Question 1

How do I serve GeoJSON to ArcGIS clients using Node.js?

Accepted Answer

FeatureServer allows you to set up Express.js endpoints that serve GeoJSON data compliant with the Esri GeoServices REST API. You need to define routes, pass GeoJSON with optional metadata, and handle queries through the provided functions like FeatureServer.route.

Question 2

What's the difference between FeatureServer and ArcGIS Server?

Accepted Answer

FeatureServer is an open-source library that implements basic parts of the GeoServices API for compatibility, while ArcGIS Server is a commercial product offering full feature services, editing, and advanced geospatial capabilities. FeatureServer is best for cost-effective bridging, but lacks enterprise features.

Question 3

How to migrate from FeatureServer to Koop?

Accepted Answer

Since FeatureServer is deprecated and moved to the Koop monorepo, update your npm package to '@koopjs/featureserver' and consult the Koop documentation for any API changes or setup adjustments, as the core functionality is now integrated there.

Question 4

Does FeatureServer support editing features in ArcGIS?

Accepted Answer

No, FeatureServer only supports querying, info retrieval, and rendering methods. It does not implement edit operations, so for full editing capabilities, you would need ArcGIS Server or another solution that handles feature updates.

Question 5

How to set up authentication with FeatureServer?

Accepted Answer

FeatureServer includes helper functions like FeatureServer.authenticate for formatting authentication responses, but you must implement the actual authentication logic (e.g., token generation) and integrate it with your Express server, as shown in the README examples.

Question 6

What are the performance limits with large datasets in FeatureServer?

Accepted Answer

Performance depends on in-memory GeoJSON handling and server resources. FeatureServer supports query options like pagination and filters to manage large datasets, but it may struggle with very large or real-time data without custom caching or optimization, as noted in the cache example.

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