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00052: Standalone table is being published with custom class extension

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Your stand-alone table relies on a class extension and you are publishing to ArcGIS Online hosted services. For the stand-alone table to perform as expected within a service, the class extension must also be registered on the server. Class extensions are not supported by ArcGIS Online hosted services.


  • Remove the stand-alone table from your document.
  • Publish to a server other than ArcGIS Online hosted services and make sure that the appropriate class extensions are registered on this server.

More information

Class extensions allow you to customize geodatabase behavior. This requires class extensions to be available to the system. If these class extensions are not accessible by the server, the specialized behavior, or functionality, will be unavailable on the service. Class extensions must be accessible to the server.

ArcGIS Online allows you to publish GIS web services to an Esri-administered cloud environment. You don't have to install anything; you just sign in to your ArcGIS Online account. There are two types of services you can deploy:

  • Feature services expose the geometry, attributes, and symbol information for vector GIS features. They are appropriate for displaying, querying, and editing your business data on top of web basemaps.
  • Tiled map services expose a set of pregenerated map images (known as a map cache) that can be viewed as basemaps in a web mapping application. When you publish your service, you can also ask the server to create and store a cache of tiles. You can then bring the tiles into your web map by accessing the service's URL.

Using a combination of tiled map services and feature services in your application allows fast mapping while supporting query and editing operations.

ArcGIS Online hosted services are available through organizational subscriptions to ArcGIS Online. An advantage of using ArcGIS Online is that you don't have to install any server software or tune the services. The services run in an Esri-administered cloud environment in which the server automatically scales up to meet demand.