#### Sandboxing and portals

There are times when it does make sense to lend advanced querying capabilities around your data to other processes of the same machine, or even widely available to any application that might want to make use of it. One real life example of this is LocalSearch used as the GNOME Desktop indexer.

But in this day and age, it is naive to make this data available without constraints on what data can be accessed. TinySPARQL provides a portal for the Flatpak application sandboxing system. This provides the mechanisms to filter the available data for sandboxed users.

# How it works

The portal acts as a single entry point for sandboxed applications to have read access to any D-Bus SPARQL endpoint.

The partitioning of the data is decided by the data provider at the time of inserting this data in the RDF triple store, and relies on graphs as the natural partitioning scheme of RDF data. As an example, consider the following updates:

    INSERT DATA {
      GRAPH example:A {
        example:item1 a rdfs:Resource ;
      }

      GRAPH example:B {
        example:item2 a rdfs:Resource ;
      }
    }

Resulting in the following simple diagram:

At that point, SPARQL queries may target either, both or any graph, e.g.:

    # This will return example:item1
    SELECT ?element
    FROM example:A
    {
      ?element a rdfs:Resource
    }

Or perhaps even poke at non-existing graphs:

    # This will return no elements
    SELECT ?element
    FROM example:C
    {
      ?element a rdfs:Resource
    }

Graphs may overlap with other graphs, or extend each other.

The data filtering performed by the portal strongly relies on these RDF semantics for graphs, except that graph access is enforced through the `CONSTRAINT` syntax. These policies prevail over any other SPARQL syntax to specify graphs, and will result in filtered graphs being replaced by an empty graph.

Likewise, notification of changes through `TrackerNotifier` will be filtered on the way to sandboxed applications, so that there are only notifications on changes from the allowed graphs.

# Using it from data providers

Data providers are free to decide the data partitioning scheme available to sandboxed applications, by creating graphs and inserting data to those. Access to those graphs will be policied by the portal on their behalf.

Keep in mind that there are limits on the number of graphs that apply on graph creation.

# Using it from applications

The portal is transparently integrated in the TinySPARQL library. Applications may write SPARQL queries so that they work the same while sandboxed or not. No code changes are needed in the app, as `tracker_sparql_connection_bus_new()` will automatically try connect via the portal if it can not talk to the given D-Bus name directly.

The policy on the accessed graphs is usually defined in the flatpak manifest at the time of bundling the software, e.g.:

    {
      "finish-args" : [
        "--add-policy=Tracker3.dbus:org.example.Endpoint:/org/freedesktop/Tracker3/Endpoint=example:A",
        "--add-policy=Tracker3.dbus:org.example.Endpoint:/org/example/CustomEndpoint=example:B",
        "--add-policy=Tracker3.dbus:org.example.Endpoint:/org/example/AnotherCustomEndpoint=example:C"
      ]
    }

Note that if the endpoint object has the default name ‘/org/freedesktop/Tracker3/Endpoint’, it can be omitted from the policy.

The portal will pick the policy from the `/.flatpak-info` file created by Flatpak, and (with the example arguments) allow read-only access to graphs `example:A` and `example:B` from the `org.example.Endpoint` D-Bus SPARQL endpoint. Access to other graphs, or other services will be disallowed. More information about access control can be found in the Security considerations page.

The TinySPARQL library is included in the GNOME Flatpak SDK and runtime. If the app uses a different runtime, you may need to build TinySPARQL in the app manifest.