/**
* Create a new triple from the subject, predicate and object just mapped and then add it to the
* Datalift repository
*
* @param s subject
* @param p predicate
* @param o object
* @param ctx uri context
*/
@Override
public void add(Resource s, URI p, Value o, Resource... ctx) {
try {
// if there is no opened connection (so there are no pending transactions) create a new one
if (transactionCnx == null) {
transactionCnx = internalRepository.newConnection();
// this way we will commit the adding transactions, batch after batch
transactionCnx.setAutoCommit(false);
}
ValueFactory myFactory = transactionCnx.getValueFactory();
// obtain the triple
Statement st = myFactory.createStatement(s, p, (Value) o);
if (ctx.length == 0) {
// if there is no uri context add the triple to the default one
transactionCnx.add(st, context);
} else {
transactionCnx.add(st, ctx);
}
statementCount++;
if (statementCount % batchSize == 0) {
// we added enoght triples to commit the transaction
transactionCnx.commit();
}
} catch (RepositoryException e) {
throw new TechnicalException("triples.saving.failed", e);
} finally {
try {
transactionCnx.close();
} catch (RepositoryException e) {
/* Ignore */
}
}
}
/**
* Creates a new dataset instance with custom batch size
*
* @param repository Datalift RDF Store where the mapped triples can be saved
* @param targetUri the base uri of the resulting mapped graph
* @param batchSize triples to add to the store before committing the transaction
*/
public StoreMappedDataSet(Repository repository, String targetUri, int batchSize) {
this.internalRepository = repository;
RepositoryConnection conn = internalRepository.newConnection();
this.context = conn.getValueFactory().createURI(targetUri);
this.batchSize = batchSize;
}
