Hi Andy,

> On Mar 19, 2024, at 5:02 AM, Andy Seaborne <[email protected]> wrote:
>> 
> 
> Hi Jim,
> 
> What happens if you use GRAPH rather than FROM?
> 
> WHERE {
>   GRAPH <http://example.org/ubergraph> {
>     ?cell rdfs:subClassOf cell: .
>     ?cell part_of: ?organ .
>     ?organ rdfs:subClassOf organ: .
>     ?organ part_of: abdomen: .
>     ?cell rdfs:label ?cell_label .
>     ?organ rdfs:label ?organ_label .
>   }
> }
> 

This does help. With TDB this is actually faster than using the default graph. 
With the HDT setup it’s about the same (fast). But it doesn’t work that well 
for what I’m trying to do (below).

> FROM builds a "view dataset" which is general purpose (e.g. multiple FROM are 
> possible) but which is less efficient for basic graph pattern matching. It 
> does not use the TDB2 basic graph pattern matcher.
> 
> GRAPH restricts to a single graph and the query goes direct to TDB2 basic 
> graph pattern matcher.
> 
> ----
> 
> If there is only one name graph, is here a reason to have it as a named 
> graph? Using the default graph and no unionDefaultGraph may be

What I am really trying to do is have suite of large graphs that I can choose 
to include or not in a particular query, depending on what data sources I want 
to use in the query. I have several HDT files, one for each data source. I set 
this up as a dataset with a named graph for each data file, and was at first 
very happy with how it performed while turning on and off graphs using FROM 
lines. For example I have Wikidata in one HDT file, and it looks like having it 
available doesn’t slow down queries on other graphs when it’s not included. 
However I did see that performance issue in the query I asked about, and found 
it wasn’t related to having multiple graphs loaded; it happens even with just 
that one graph configured.

If I wrote my own server that accepted a list of data source names in a query 
parameter, and then for each request constructed a union model for executing 
the query over the required HDT graphs, would that work any better? Or is that 
basically the same as what FROM is doing?

Thank you,
Jim

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