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Functions from Storer and Reader that execute SPARQL queries (SELECT/UPDATE) or that access RDF files (read/write), could be parallelized in some way to achieve better performance.
Generally speaking, applications that make use of oc_ocdm often need to import/store/upload a large quantity of data. This usually consumes a lot of time, which often represents the biggest percentage of total execution time.
An initial optimization approach can be found in Storer.upload_all(...), where the total amount of UPDATE queries to be performed is grouped into batches of configurable maximum size (see batch_size parameter).
The text was updated successfully, but these errors were encountered:
Functions from
Storer
andReader
that execute SPARQL queries (SELECT/UPDATE) or that access RDF files (read/write), could be parallelized in some way to achieve better performance.Generally speaking, applications that make use of
oc_ocdm
often need to import/store/upload a large quantity of data. This usually consumes a lot of time, which often represents the biggest percentage of total execution time.An initial optimization approach can be found in
Storer.upload_all(...)
, where the total amount of UPDATE queries to be performed is grouped into batches of configurable maximum size (seebatch_size
parameter).The text was updated successfully, but these errors were encountered: