Hi Richard,
one thing that definitely will slow down almost all operations is if you
have large import closures, i.e. a graph that owl:imports many other
graphs (transitively). This is because all queries will need to go
against the various subgraphs individually and the results then merge
(we do not use/have a shared index across all these graphs).
OTOH only some operations will become slower if you have hundreds or
thousands of individual graphs that are largely independent. For example
the page to browse all Data Graphs will become slower. I am aware of
customers that have hundreds of graphs. If you run into significant
problems in that area then please let us know.
Holger
On 14/09/2020 22:40, richarddi...@gmail.com wrote:
We mean the "Limit on the amount of data graph collections" (as being
the number of graphs, bad English, sorry) . We might get several
hundreds data graphs. When this will become a problem we could use
Shacl for what we want; 'perfect data governance'.
On Monday, September 14, 2020 at 2:10:32 PM UTC+2 TopQuadrant wrote:
Hi Richard, can you confirm the limit you are referring to? Limit
on the amount of data graph collections you can have or limit to
the search results in a data graph?
On Mon, Sep 14, 2020 at 4:39 AM richarddi...@gmail.com
<richarddi...@gmail.com> wrote:
Good morning,
Do technical of practical reasons exist for limiting the
amount of data graphs to e.g. 1000? From a data governance
(DQ, corrections etc) perspective I evaluate a graph
architecture with more data graphs than one would expect.
Richard D
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