Hi Gang,
To be clear when you say "I want to update a large RDF store with 10 billions
triples once a week" , presume you are *NOT* loading 10billion new triples
every week, but rather the base 10billion triples are to be updated which
triples/graphs being inserted/deleted/updated, thus the overall number of
triples does increase (or decrease) on that scale ?
As if these updates are in the form of documents ie datasets and if they or can
be converted to nquad format to meet the requirements of the Virtuoso RDF Bulk
Loder "with_delete" [1] option, then this would be the most the fastest and
most efficient way to do this I would say ...
[1]
http://virtuoso.openlinksw.com/dataspace/doc/dav/wiki/Main/VirtRDFBulkLoaderWithDelete
Best Regards
Hugh Williams
Professional Services
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> On 8 Apr 2015, at 12:27, Gang Fu <gangfu1...@gmail.com> wrote:
>
> using isql or jdbc or http will make any difference?
>
> On Wed, Apr 8, 2015 at 7:25 AM, Gang Fu <gangfu1...@gmail.com
> <mailto:gangfu1...@gmail.com>> wrote:
> There are millions of triples to be updated on weekly basis.
>
> On Wed, Apr 8, 2015 at 7:24 AM, Gang Fu <gangfu1...@gmail.com
> <mailto:gangfu1...@gmail.com>> wrote:
> Hi,
>
> I want to update a large RDF store with 10 billions triples once a week.
> The triples to be inserted or deleted are save in documents.
> There is no variable binding or blank nodes in the documents.
> So I guess the best fit sparql update functions are
> insert data/delete data
>
> What is the best way to do this?
> Using JDBC connection pool or http?
> Using 'modify graph <graph-iri> insert/delete', or insert/delete data?
> Is it possible to run concurrent update jobs?
>
>
> Best,
> Gang
>
>
>
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