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Hi Lotus,
this is pretty much normal. While the data loaded within a dataset through ordinary procedures (once the project is created) is stored directly in the assigned storage space (which depends on the chosen triplestore and repository technology, but usually will be mass memory) preloaded data is always fetched in memory, just for conducting some preliminary analysis that simplifies the configuration for the user (e.g. finding the baseuri, analyzing the semantic model, lexical model etc..). The data will be then loaded into the assigned repository.
So, if you are trying to load 1Gb, you need to have assigned 1Gb (and more) to the java process starting VocBench. While this can be technically done (if you have memory to use, it’s not bad, I personally assign 2Gb to it) I would personally not recommend to preload 1Gb, it would do the contrary of what you are trying to achieve: saving time, as it will be loaded twice, first with the preload and then with the load, which is more than the time spared in filling those fields manually.
To avoid possible misunderstandings: this consideration is only related to the preload. In the more general terms of scalability, you can easily load even much larger resources. Pls give a look at this: http://vocbench.uniroma2.it/doc/sys/#data_management for more details.
King Regards,
Armando
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Dear Lotus,
you need to configure environment variables for Java. The procedure is described here:
https://www.java.com/en/download/help/path.html
As an alternative, you can edit the karaf file that you use to run VocBench. E.g. in karaf.bat you can find those variables in rows 41 and 44.
For what concerns the RDF4J vs GDB, since you were asking about the preload, it doesn’t change. The preload is done on a RDF4J in-memory repository managed by VocBench.
Kind regards,
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--Manuel Fiorelli
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