Hi Stas,
Many thanks for writing this down! It is very useful to have a clear
statement like this from the dev team.
Given the sustainability concerns that you mention, I think the way
forward for the community could be to hold a RFC to determine a stricter
admissibility criterion for scholarly articles.
It could be one of (or a boolean combination of) these:
- having a site link;
- being used as a reference for a statement on Wikidata;
- being cited in a sister project;
- being cited in a sister project using a template that fetches the
metadata from Wikidata such as {{cite Q}};
- being authored by someone with Wikipedia page about them;
- … any other criterion that comes to mind.
This way, the size of the corpus could be kept in control, and the
criterion could be loosened later if the scalability concerns are addressed.
Cheers,
Antonin
On 5/4/19 8:37 AM, Stas Malyshev wrote:
> Hi!
>
>> For the technical guys, consider our growth and plan for at least one
>> year. When the impression exists that the current architecture will not
>> scale beyond two years, start a project to future proof Wikidata.
>
> We may also want to consider if Wikidata is actually the best store for
> all kinds of data. Let's consider example:
>
> https://www.wikidata.org/w/index.php?title=Q57009452
>
> This is an entity that is almost 2M in size, almost 3000 statements and
> each edit to it produces another 2M data structure. And its dump, albeit
> slightly smaller, still 780K and will need to be updated on each edit.
>
> Our database is obviously not optimized for such entities, and they
> won't perform very well. We have 21 million scientific articles in the
> DB, and if even 2% of them would be like this, it's almost a terabyte of
> data (multiplied by number of revisions) and billions of statements.
>
> While I am not against storing this as such, I do wonder if it's
> sustainable to keep such kind of data together with other Wikidata data
> in a single database. After all, each query that you run - even if not
> related to that 21 million in any way - will have to still run in within
> the same enormous database and be hosted on the same hardware. This is
> especially important for services like Wikidata Query Service where all
> data (at least currently) occupies a shared space and can not be easily
> separated.
>
> Any thoughts on this?
>
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