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Towards a new content-based linking scheme?
Even though I spend practically half of each working day with DevonThink, I still haven’t resolved the perennial dilemma: to import or to index? To lock my data in a closed format or to expose it to the hazards of indexing? DevonThink in general, at least in my experience, can act temperamentally with indexed files. I have lost indexed data numerous times; never have I lost a single imported document, though. True, these unfortunate incidents are often the result of a clumsy move or rename operation in the Finder—but not always. Syncing and the handling of replicants are two areas in which I’ve found indexing to be particularly counterintuitive, if not actually fragile. The risks are particularly acute when the indexed content is in Dropbox—a use case that, I hasten to add, unlike placing the database itself on Dropbox, is perfectly legitimate. There are simply too many things that can go awry with indexed content, exposed as it is to the multitude of cloud services and apps running on our capable multitasking machines; and far more unfortunate scenarios than I can list, which may result in broken links or duplicate data.
The problem is aggravated by the habit of several apps—especially iOS apps—to delete and rewrite a file from scratch on each “Save”, a process that (I think?) insidiously results in an entirely new entity carrying a new DevonThink URI. And if the contents of your database are extensively interconnected with x-devonthink-item:// links, then your copiously constructed wiki breaks apart while you remain oblivious to the damage.
So I am taking this idle moment to daydream a future in which DevonThink would no longer need to import its content—everything would be indexed. Not only that, but links would somehow (magically) always point to the intended content, even if the original file were deleted and its content copy-pasted into another, new file with a different file name! I don’t exactly how this could be made possible, but in principle it should be possible—perhaps by calculating the hash of each file and producing a unique URI based on that hash, which would be updated on each Save. I guess our dual- and quad- core MacBook Airs/Pros and iMacs are capable to do some speedy hashing on our document-size files (a few MBs maximum, usually much less).
Food for thought for the long run, perhaps.
Very interesting concept. Well beyond OS X. Looks like you want iOS on the desktop, where the file system is completely hidden from end users.
I can see your point. All the hazard you mention are not unique to DEVONthink, though, are they? As long as we can fiddle with files we can shoot our feet.
I see this comment here from time to time and scratch my head. Your data is never “locked up” in DEVONthink. The files are all stored in the open inside the database package – all you have to do is remove the.dtBase2 extension. The file hierarchy is not the same as in the DEVONthink “browser”, but that’s it. I’d bet there is almost zero probabilty that one day DEVONthink would stop working without warning and you’d never be able to run an export (which maintains the hierarchy, btw). With export, replicants are turned into duplicates; nothing is lost. I don’t think I’ve ever read a case here where someone had to manually rebuild a file hierarchy by digging around inside the database package.
But on iOS if an app dies – and the developer didn’t bother to expose the files to iTunes sync – your data is also dead. Now, that’s real lock-in.
We have definitely kept things far more open than people think. And while you shouldn’t muck about inside the.dtBase2 file outside of DEVONthink, the files are still accessible and recoverable in various ways, if the need arises.
I stand corrected about the semantics of “locked”. Data in DevonThink is indeed readable and retrievable but with a big “do not touch” sign on the door. One of the problems with this is that data is modified all the time by today’s apps, even when the user believes it’s not. I would personally think twice before reading a PDF on, for example, the excellent PDF Expert app (iOS) straight from the.dtBase file. Who knows what data (or metadata!) could be modified in this supposedly read-only process.
Anyway I am not deluded to think that such a radical paradigm shift can happen overnight, but do believe that it would make sense to think in that direction.
Actually, the scheme I tried to outline (vaguely, no doubt) is very much unlike that of iOS, where data is literally locked in app-specific sandboxes (with exceptions). I am rather suggesting that data should remain “free-range”, with DevonThink links to that data based on unique identifiers derived from the content, not the location of the content in the file system.
I wonder if there is anyone who has implemented a sort of “free range” data storage regime. Most file systems are based on the premise that content is opaque to the operating system. To make it less opaque to the user, utilties like Spotlight came along and larger applications like DEVONthink. These things crawl the content of your files and collect metadata and word concordances.
But going to the next step suggested here – knowing where data is located by its context – might be orders of magnitude more complex. If I have 400 news clippings with the phrase “the Pope arrived in Philadelphia” then how much context (i.e., how much more data) would be needed to find that article clipped from the Inquirer at 2032 on September 27 that I’m looking for? Especially if I don’t know that the article was clipped from that source at that time?
Oh, wait. DEVONthink’s concordance and AI can actually help out here.
This is beyond my area of expertise also, but I believe that it is possible to compute a “hash” that, with extremely high probability, is unique to a given file. This is how, for example, Dropbox avoids storing copies of the same file more than once in its servers. Say that we both have a copy of the same mp3 in our respective Dropboxes. Dropbox will identify the two copies as instances of the same file (same hash) and therefore store only one copy of that file in its cloud servers, linking it to both my and your account. This idea is very different from the DevonThink AI algorithms that calculate degrees of affinity between documents. With hashes, change one byte in a 500GB video and you’ll get a completely different hash—which is exactly what