SQLite as an Application File Format (2014)
sqlite.org
sqlite.org
For example, Adobe's Lightroom uses sqlite as their application file format, which means that it's almost trivial to write an application to help it do things it's either really bad/exceedingly slow at (like removing images from a catalogue that no longer exist on disk) or literally can't do (like generating a playlist of files-on-disk for a specific collection or tag), without being locked into whatever janky scripting solution exists in-app. If there even is one to begin with.
All you need is a programming language with a sqlite connector, and you're in the driving seat. And sure, you'll need to figure out the table schemas you need to care about, but sqlite comes with sqldiff so it's really easy to figure out which operations hit which tables with only a few minutes of work.
Good luck reverse engineering proprietary file formats in the same way!
We all win when folks decide to leave it accessible, but I'm not going to hold "encrypting a file format so that people can't easily reverse engineer it" against folks who are trying to sell software.
https://www.sqlite.org/see/doc/release/www/index.wiki
There are third party encryption approaches for SQLite. One of the most popular is SQLCipher:
https://github.com/sqlcipher/sqlcipher/
Those two don't have compatible file formats. eg no interoperability
Not sure if any others do, but yeah it would be handy if there are.
I think I'd mostly disagree. Selling an application is one thing, but the data itself is usually customers' and holding their data hostage is not a proper thing to do.
Listen to what you're saying: the data isn't locked, you just need the... application, to... unlock it.
That's beyond tenuous, it's invalid.
That argument that a proprietary file format "locks" data ignores the fact that it's the pair {application, file} that determines whether your data is locked away or not. For instance: Microsoft Word data? not locked. You can trivially export it in quite a lot of ways. Can you easily get it from a traditional .doc file? Hell no, but that doesn't mean the data itself is inaccessible. Instead of using sqlite, or xslt, or PERL, or whatever, you use word.
I'd love to be able to make secondary applications like you've described but being enterprise software they don't want to make it too easy.
They obviously want to keep people locked in with their $40k per seat application!
I guess the first step is figuring out the page size and other bits the other meta data you set in the header [1].
I know I just have to sit down and understand the format better and I will eventually figure it out...
Might be worth actually contacting them to ask why, if you can make the case that secondary applications will increase the value of their app, not decrease it.
They do have a module you can purchase to run API calls and access their files/software but as you probably guessed that's another $40k license!
Most of my apps I build use this API, but for me to provide to other companies they need them to also buy the API extension.
I'd love to cut out the middle man and I'll do it eventually when I reverse engineer the header!
I mean I know we're all on board with the idea of intellectual property actually being a thing now, but surely there are limits? I've seen people take the hard-line stance that if something is your property you should be able to dictate exactly under what situation it can be used, but there have to be limits to IP holders rights on some level, and I feel like reverse engineering a file format is a pretty reasonable place to draw that line.
I don't know that that's true at all! I'd say the pendulum is swinging in the opposite direction.
No. Intellectual property is not genuine property. It is a state granted monopoly and is antithetical to free market principles.
IPRs are (in general) things that are protected by law and open to licensing and civil suits for damages if used outside those laws and licenses:
* Trade Secrets and NDAs
* Copyrights
* Patents
* Trademarks
We most certainly are not. I personally believe that intellectual property as a whole doesn't make sense in the 21st century and should be abolished.
> there have to be limits to IP holders rights on some level
There are. The laws generally recognize fair use and reverse engineering for interoperability.
> I feel like reverse engineering a file format is a pretty reasonable place to draw that line
Absolutely. Unfortunately, in the US it seems corporations can force people to give up their rights by making them agree to it. Therefore, "you must not reverse engineer our software" is a standard clause in every contract and it's not negotiable.
Most property owned by companies is not taxed.
https://taxfoundation.org/does-your-state-tax-business-inven...
I think taxes are very difficult. Personally, I think when Google or Facebook places an ad on its own (public) platform, they should have to pay a tax similar to a sales tax as they have sold themselves. Probably shouldn’t apply to the ads on google.com homepage as they don’t sell those as far as I understand.
The article mentions neutrality in taxes which is either silly or disingenuous though. Our tax code is not neutral. We openly use tax code as a way to motivate public behavior.
Ad space as inventory would be an interesting concept. It is tricky though. What is the value of something before it is sold? What is a fair tax rate? How often does this inventory adjust as you have more or fewer users? Messy.
Admittedly I was being a bit facetious about that.
Do you believe that models should have no right to be compensated if some corporation takes a picture of them off the internet and uses it in their own ad campaign?
Do you believe that McDonalds should be free to make and sell happy-meal toys of whatever kids’ movie is hot lately, even using the logo of the movie in their advertising, with no obligation to compensate the people who made the movie?
Do you believe that if an inventor comes up with a new system for drug delivery and tries to sell it to some pharma company—but the pharma company turns around and does industrial espionage to get access to the technique themselves—then the pharma company should be able to just walk away with the new technology, with the inventor left with no legal recourse?
Those are all “intellectual property”, too. IP isn’t just software patents and overextended copyright terms. A world truly without any IP law wouldn’t be a utopia for innovation; it’d be a dystopia of every middleman having the legal right to produce and sell their own fakes of everything, to the point that brands cannot exist.
It’d be a world where every store, even the brick-and-mortar ones, even the ones selling things like drugs, work like shopping on Wish/AliExpress.
It’d be a world where e.g. the Coca-Cola company makes fake Pepsi products that looks exactly like the ones PepsiCo makes but which taste much worse, and puts them in stores beside the real PepsiCo products, to get Pepsi drinkers to buy those, taste them, think “Pepsi isn’t the same any more”, and switch.
It’d certainly be a world where every drug is just a generic, because you couldn’t maintain a drug brand in the face of identical dups—but it’d also be a world where even the generic store brands of drugs could be switched out at every step of the supply chain for cheaper/nastier alternatives, with no legal consequence (as long as the resulting drugs still met FDA standards.) Without IP law, there’d be no legal recourse to the suppliers who did that. It’d be, at best, a contractual dispute; and so would effectively always come down to the relative depth-of-pockets of the buyer vs. the elements of their supply chain.
Is that a world you want to live in?
Certainly, we need IP reform. But not even the most hardcore libertarian really wants to live in a world where every kind of IP right is unilaterally abolished. Having global capitalism entirely unfettered by IP rights, is like having a car entirely unfettered by brakes. You don’t get a faster car; you get a car that crashes into trees a lot.
The world you are describing is impossible and part of it already exists precisely because of the power of copyright, not the other way around (models are already screwed and have to give up rights to corporations, they certainly aren't powerful enough to monitor where their images are used, inventors too have to give up rights to corporations and do get their stuff stolen, remember how Google did that? And it was just one public occurrence).
Pre-FDA "patent medicines" beg to differ. Austria's wine industry (https://en.wikipedia.org/wiki/1985_diethylene_glycol_wine_sc...) begs to differ. Those were competitive markets! And they certainly increasingly optimized for something as competition increased. What they increasingly optimized for, though, was the naive experience that made people buy the product (e.g. taste; "feeling good"), at the expense of health/welfare outcomes. It turns out that some poisons taste good, and make your product more popular!
Over the long term, statistically, yes, companies that do bad things in the name of profitability probably get boycotted and die.
In the medium term, though, the people that bought the products die as well. That's a necessary step in that long-term equilibrium. The "state of nature" of a capitalist market is one where companies cut corners until the corners kill people, and then people get mad and get together to kill those particular companies.
This is a dynamic equilibrium though. It's not that you end up with corporations afraid to cut corners. You end up with a constant stream of new corporations forming, going well for a while, cutting corners, killing people, and then being taken apart. It's the reverse of P.T. Barnum's "a sucker is born every minute": an unethical entrepreneur is born every minute, to take advantage of those suckers. On average, the set of corporations in existence at any given moment would be half "one step away from killing people", and half "already killing people but nobody's noticed yet."
And indeed, this is how things were for much of the Victorian era (with cyanide-based paints, nitrocelluloid plastics, and other such already-well-known hazards continuing to be sold on the open market) up through to the 1950s.
Being humans rather than animals, we have the unique capability (if not often the motivation) to learn an object lesson without having to personally suffer its negative consequences even once. We can see someone else burn their hands on a stove, and then make a rule about not touching stoves, such that nobody ever has to actually burn their hand on a stove to personally re-derive that rule again.
I can only see three reasons why someone would support intellectual property rights with respect to file formats: they believe the manipulation of data done by software implies a transfer of ownership of the data, at least in its modified form; they are making a cynical grab for control over the data; or they are incredibly naive.
(There are border cases, such as novel compression schemes, where how the data is stored is the product. That does not really matter when someone is using a file format as a simple container for data. If a file format is truly a border case, there should also be ample forewarning to the end user.)
If you modified their app's internal state db and screwed it up because they have designed their software with certain assumptions that aren't clear from just reading their db schema, that would be a nightmare for them to support. The easiest thing for them to do is just to try to discourage tampering with their internal state.
This is especially true if there's a chance that a market for secondary apps/utils will spring up. If that's to happen and be viable, they absolutely would want to put thought into what their supported interfaces are for those apps/utils, otherwise they will end up painted into a corner and unable to change their architecture without destroying a marketplace.
To the point re: modifying internal state and screwing-up the application - If you're writing anything out to persistent storage you should assume that it's untrusted data when you read it back in. If for no other reason than physics itself is a malicious (or, at best, ambivalent) actor.
Re: the concept of untrusted data, this is off in the weeds argument for argument's sake IMO. Do reasonable validations of the state data, sure, but picking nits about the nature of trust and internal application state is an infinite hole I'm not jumping into with you.
Just because they don't have a leg to stand on doesn't mean this isn't potentially a huge pain in your ass that you'd probably rather avoid. Imagine if you had a LOT of customers contacting you with this type of problem to the point where you felt like you were painted into a corner and had to support some ad-hoc APIs that weren't designed to be customer-facing and which you might have been planning to remove altogether because they're part of a design that's changing.
This is exactly the situation the obfuscation is attempting to avoid. They're just doing it with a technical solution rather than a human telling another human "don't do that."
Philosophically, people should be able to do what they want on their machines. But expecting support (eg figuring out how their third-party software has corrupted my database) is another matter, so I can see why people would install a speed-bump or two...
[1] https://github.com/scottlamb/moonfire-nvr/issues/44#issuecom...
Maybe this is the kind of software that requires huge development costs. But maybe it would be worth 20 seats' worth of customers joining forces to fund a team of 5 people to build you a competing app tailored to your specific needs/wants and completely under your control.
Granted, that could bump your costs from $800K/year to $1.6M+/year. But only short-term. Once your software is production-ready, you drop the costs of your current software. So think of it more like going from $8M/10 years to $6-10M/10 years but having complete control to add the features you want. And perhaps having the opportunity to recoup $millions/year by licensing to others. Or, open source it and give others the same kind of control while benefiting from the features they add. Spread your development costs across more seats to further lower your $/seat.
Or, look at the 100 employees your vendor currently has and lose heart, then hope somebody with deep pockets funds a competitor.
It's mostly used so utilites can forecast growth in their areas for the next 25+ years and see the impact on their networks and feed into their capital work projects.
A decently sized utility may spend up to $200M/yr on capital works so $40k isn't even a line item!
There is completion in the market but consultants are forced to use what their clients pick and most utilites aren't that price sensitive.
There are also open source alternatives by the EPA[1][2], and most commercial operators are just wrappers around this public domain software.
I'm trying to create FOSS to help view and run these models.
[1] https://en.m.wikipedia.org/wiki/EPANET
[2] https://en.m.wikipedia.org/wiki/Storm_Water_Management_Model
I'll eventually convert part of one of these into a B2B app to keep what I do sustainable but I want to keep as much free and open source.
[1] https://www.linkedin.com/pulse/seven-water-modelling-apps-on...
And to the uninitiated, this sounds like a very fancy word, that makes the software seem smart.
But really, it’s just drawing a straight line. And as you add more counts to your x axis, the Linear Regression “forecasts” what the value is on the y axis. This is the magical number, given by the computer, and is used to determine future load or capacity needs.
The movie business doesn't even blink at that sort of cost if it there's even a small chance to prevent having to set up the remote shot again. The logistics, time, hiring, transport, accommodation, equipment, wages, etc. etc. etc. all make $50k a drop in the ocean.
We spent 2 years writing the software, developing the add-on hardware that helped, and touting it around various Post-production houses. It was used on Star Wars I, The Matrix, etc. Post houses started to take it on board as well. Then we were bought, and the product discontinued. C'est la vie.
These faces can be planted on other fake AI bodies, that move like real people.
Then, what you have is a background full of fake AI people. They look like real people. They move like real people. No more need to hire extras.
You can just have your primary actors act in a green screen. And virtually change the world all around them.
The first company that can commercialize this, is going to make a ton of money. And might even be able to gain first-mover advantage, as they lock in all the studios.
Being able to load a read-only .sqlite database might seem cool, but I can't think of a single instance in which that's smaller and/or more efficient than calling data endpoints that use gzip/brotli for transport.
Or are you thinking "as replacement for IndexedDB"? In which case, hard agree but then it's an actual database, not used as file data container.
I don't really see any difference or advantage of using SQLite over XML, unless you need full RDBMS engine power for your configuration (highly unlikely).
1. SQLite database files are self descriptive, which JSON and XML are not.
2. SQLite is a compressed binary format. JSON and XML are plain text.
3. building on that, SQLite files were designed to contain arbitrary data, and you can store whatever you want using the BLOB datatype. JSON and XML can't, they have no notion of types, everything has to be syntax-compliant strings.
4. SQLite files can be encrypted. JSON and XML can't.
5. SQLite files were designed to be queried. JSON and XML are not.
And I already hear you try to object, so let's expand:
1. JSON and XML cannot describe their own structure, their syntax is prescribed, but any schema has to come from either external files, like XML's DTD, or from literally nothing because JSON has no official schema language. Yes, https://json-schema.org/ exists, but it's certainly not an official spec - maybe "yet", maybe just "full stop".
2. Yes, you can compress JSON/XML using zip/etc but now it's no longer JSON/XML. Now it's an archive file like any other archive file, and it's "nothing" you can work with until you unpack it, incurring delays, and then repack it once you're done, incurring even more delays (because packing is far more work than unpacking), and worse: the bigger the file gets, the longer the delay becomes.
3. Sure, you can convert binary to a text format and then put that in JSON/XML too, but there no types: you have no way of universally indicating which field is plain text, and which field is binary-as-text nor a way to universally indicate which encoding you've used.
4. Same as (2): sure, you can encrypt the data yourself, but there is no universal spec for indicating what encryption you used for which fields, or parts of the file, or the entire file, in JSON or XML.
5. JSON and XML are data serialization formats: they are perfect for transport, but they are not data repositories and even at the spec level make zero affordances towards efficient data retrieval, storage, and representation. Which for an application file format is critical.
Can you use JSON/XML as application file formats? No, not really. They're terrible for that purpose. They might work for configs (as you point out), and they are fantastic for moving small quantities of data from one system to another (for large quantities, they make no sense: even something as dumb as CSV becomes more efficient when dealing with lots of data) but they are absolutely unsuitable for storing arbitrary application data, because they are horrendously inefficient for almost everything an application needs out of a good file format, without rolling your own standards, for which there is no enforcement tooling unless you write that yourself, too. And then get others to adopt it as well. And now you're started down the path of replicating what SQLite already does, and doing so poorly.
You just blew my mind. Thank you!
I can't believe the things I find out from random HN comments.
I’ve used SQLite on mobile apps to mitigate this problem. I’ve used LMDB on a cloud app where the server was recording a lot of data, but also rebooting unexpectedly. Would recommend. I’ve also gone through the process of crafting an atomic file write routine in C. https://danluu.com/file-consistency/ It was “fun” if your idea of fun is responding to the error code of fclose(), but I would not recommend...
SQLite is dozens of files, if you're browsing it, or modifying it. Which you can do, as long as you're ok with contributing your changes being impossible, since it's open-source but closed-contribution.
If you're compiling it, it is, in fact, one .c and one .h:
https://www.sqlite.org/amalgamation.html
If you're choosing between LMDB and SQLite, the latter sense is the relevant one, so they're identical along this particular axis.
Python/c++.
I've looked into mmap and flock but it's messy and not highly portable.
That aside - LMDB is not just smaller, faster, and more reliable than SQLite, it is also smaller/faster/more reliable than SQLite's own B+tree implementation, and SQLite can be patched to use LMDB instead of its own B+tree code, resulting in a smaller/faster footprint for SQLite itself.
Proof of concept was done here https://github.com/LMDB/sqlightning
A new team has picked this up and carried it forward https://github.com/LumoSQL/LumoSQL
Generally, unless your application has fairly simple data storage needs, it's better to use some other data model built on top of LMDB than to use it (or any K/V store) directly. (But if building data storage servers and implementing higher level data models is your thing, then you'd most likely be building directly on top of LMDB.)
tempfile = mkstemp(filename-XXXX)
write(tempfile)
fsync(tempfile)
close(tempfile)
rename(tempfile, filename)
sync()
Assume the entire write failed if any of the above return an error.
In some systems (nfs and ext3 come to mind), you can skip the fsync and/or sync, but don’t do that. It doesn’t make things significantly faster on the systems where it’s safe, but it definitely will lose data on other systems.
The only loophole I know of is that the final sync can fail, then return anyway. If that happens, the file system is probably hosed anyway.
Which links full source for the process you described https://lwn.net/Articles/457672/
That means you need a way to verify that tempfile is complete. I do that by removing filename after completing tempfile. And that requires a placeholder for filename if it didn't already exist (e.g. a symlink to nowhwere).
On crash, rename may leave both files in place.
This technique doesn't work if you have hardlinks to filename which should refer to the new file.
Don't filesystem journals ensure that you can't get a garbled file from sudden shutdowns?
They also expose an API that allows you, if you're very careful and really know what you're doing (like danluu or the SQLite author), to write performant code that won't garble files on random shutdowns. But most programmers at most times would rather just let the OS make smart decisions about performance at the risk of garbling the file, or if they really need Durability, just use a library that provides a higher level API that takes care of it, like LMDB or an RDBMS like SQLite.
To not get your file garbled, you need to use an API that knows about legal vs. illegal states of the file. So either the API gets a complete memory image of the file content at a legal point in time and rewrites it, or it has to know more about the file format than "it's a stream of bytes you can read or write with random access".
Popular APIs to write files are either cursor based (usually with buffering at the programming language standard library level, I think, which takes control of Durability away from the programmer) or memory mapped (which realllly takes control of Durability from the programmer).
SQLite uses the cursor API and is very careful about buffer flushing, enabling it to promise Durability. Also, to not need to rewrite the whole file for each change, it does it's own Journaling inside the file* - like most RDBMSs do.
* Well, it has a mode where it uses a more advanced technique instead to achieve the same guarantees with better performance
Well, they do that, but they also protect data to reasonable degrees. For example, ext3/4's default journaling mode "ordered" protects against corruption when appending data or creating new files. It admittedly doesn't protect when doing direct overwrites (journaling mode "journal" does, however), but I'm pretty sure people generally avoid doing direct overwrites anyway, and instead write to a new file and rename over the old one.
I'm not sure if it would protect files that are clobbered with O_TRUNC on opening (like when using > in the shell). I would imagine that using O_TRUNC causes new blocks to be used and so the old data isn't overwritten and it isn't discarded because the old file metadata which would identify the old blocks corresponding to the file would be backed up in the journal.
> They also expose an API that allows you, if you're very careful and really know what you're doing (like danluu or the SQLite author), to write performant code that won't garble files on random shutdowns.
As far as I see for the general case, being "very careful and really knowing what you're doing" consists of just avoiding direct overwrites. Of course, a single file that persists data by the needs of software similar to a web server (small updates to a big file in a long-running process) is going to want the performance benefits of direct overwrites. I can totally see SQLite needing special care. However, I don't think those needs apply to all applications.
That's a dangerous thing to say. There are many ways to mess up your data, without directly overwriting old data.
If you write a new file, close, then rename, on a typical linux filesystem, mounted with reasonable options, on compliant hardware, I think you should have either the old or new version of the file on power loss, even if you don't sync the proper things in proper order, but that's only because of special handling of the common pattern. See e.g. xfs 0 size file debacle.
Not an expert.
The example I had in mind was Word, which gave up on direct overwrites and managing essentially their own filesystem-in-a-file in favor of zipped XML, which is really good enough when writing a three-page letter, but terrible when writing a book like my mother is. Had they used SQLite as a file format, we would've gotten orders-of-magnitude faster save on software billions of people use every day.
The journal ensures (helps ensure?) that individual file operations either happen or don't and can improve write performance, but it can't possibly know that you need to write, e.g., two separate 20TB streams to have a non-corrupt file.
Based on your scenario, if an application-level "change" involves updating 2 files, interpreting the update of only one file and not the other as a corruption, you're right that filesystem journaling wouldn't suffice. However, in that case it wouldn't be that a single file was corrupted.
Still, I wonder about the other case, about when the filesystem decides to commit.
>Based on your scenario, if an application-level "change" involves updating 2 files
It could be two parts of the same file too. E.g. if you're using a single file with something like recutils with a single file to implement double-entry accounting and only commit one entry. You'll at least be able to detect the corruption in that case (not that you can in general), but you won't be able to fix it using only the contents of the file.
For once, I have a blog post that goes in detail into why that is not true!
(Or rather, not true unless you implement it in a very sophisticated manner rarely used in practice.)
https://espadrine.github.io/blog/posts/file-system-object-st...
This is another very interesting example of an open-source business. I would be interested to learn more about how the Hwaci company operates (revenue, number of employees, etc.). I find this very interesting:
> We are a 100% engineering company. There is no sales staff. Our goal is to provide outstanding service and honest advice without spin or sales-talk.
They list some "$8K-50K/year" and "$85k" price tags directly on their "Pro Support" webpage. These would usually be behind a "Schedule a Call" or "Get Quote" button. I've been thinking about doing something similar with my own on-premise licenses and support contracts. I'm not very good at sales and I don't really want to hire a sales team, so I'd be interested to know how this worked out for them.
I also liked this sentence, which is very similar to Basecamp's philosophy (and both companies were started around the same time - 1999 vs 2000):
> Hwaci intends to continue operating in its current form, and at roughly its current size until at least the year 2050.
It's interesting to think that SQLite could have raised money and grown into a billion-dollar public company with thousands of employees.
I'm going to listen to this Changelog interview with Richard Hipp now [2], and also this talk on YouTube [3].
[1] https://sqlite.org/prosupport.html
Plus, I have to wonder how much extra profit the "call us" route actually takes in, after you've subtracted costs for the marketing staff it requires (especially if you try to renegotiate the cost after the subscription/license expires).
The hypothetical Hwaci which tried to be a trendy billion dollar company would be so much worse, and you probably wouldn't even be able to buy support. No one would benefit but institutional money.
I knew SQLite is well-respected by many, considered one of the best examples of software engineering. I just assumed that it was created by an individual or small team of brilliant minds - and developed/maintained by a user community - as such well-designed software often is.
The company sounds great. Their approach to business is refreshing, and reminds of a few other exemplary companies with principles, daring to tread their own path to success.
As an addendum: Hipp, Wyrick & Company, Inc. (Hwaci) is based in North Carolina, USA.
I landed on SQLite for many of the reasons outlined in this article and in particular because of how easy it was to implement and maintain. SQLite is supported natively in QtSql, which made it extremely easy to write the save and load functions, and later extend these with more data fields. In addition, we did not have to worry about cross-platform support since this was covered by SQLite and Qt already.
With SQLite embeddable in websites thanks to wasm, and the ability to create object URLs it's also pretty trivial to make full blown (read-only) SPAs delivered as a single HTML file. This last bit might seem crazy – and it kind of is – but if your clients are all on a LAN in a corporate network so bandwidth and latency aren't really an issue it makes a bit more sense.
I love SQLite, hands down one of my favorite tools.
With WAL mode + increasing the page cache you can get some excellent concurrency, even if doing reads and writes at the same time.
With rqlite it's easy to make it a server database and have a cluster of SQLite databases (https://github.com/rqlite/rqlite).
I wouldn't try to create the new Instagram with it, but I think it'd be capable enough for many apps that are built on top of more complex DBs.
My recent favourite being https://media.ccc.de/v/36c3-10701-select_code_execution_from...
How would an application that uses SQLite as a file format be able to scan for malicious database files that trigger buffer overflows in the SQLite engine? I'm really not sure what you're suggesting.
For sure application developers could sandbox the http library, sqlite, or stop using libraries developed in so unsafe programming languages but it's a bit too early for that.
The same is true when I open a database in SQLite: if that causes a security problem, it's a bug in that library. I don't even see how you could validate a database file before you hand it over to SQLite.
Those functions have to be explicitly loaded by the application after loading the database. eg: They're not stored in the database and loaded with it.
You'd validate the database (past the standard integrity checking), by loading it and not adding any third party functions. Then check it's not doing anything dodgy with views, or outright disable views. Then load the third-party extensions (if needed).
If you wanted to go even further, you could also add an authorizer callback function:
https://www.sqlite.org/c3ref/set_authorizer.html
That's called (multiple times) any time a SQL statement is prepared/executed, and catches things like functions being run, tables being accessed, etc. You can use that to only allow a whitelisted set of functions to run, which would help in some scenarios. eg:
https://github.com/sqlitebrowser/dbhub.io/blob/e1c5042f857e9...
The "Defense Against Dark Arts" page on the SQLite website has further good info about this:
https://www.sqlite.org/security.html
As a data point, I implemented the above "Defense against Dark Arts" stuff recently for an online SQLite data publishing platform to let people run free form queries on databases (dbhub.io). It wasn't all that hard to implement. Much less so that I'd been expecting. :)
That's probably a niche case which doesn't affect most systems. But it'd be good to know about and watch out for in the systems that do.
In high school I was obsessed with the game Starcraft. It came with its own map editor that would save to its own proprietary format. Some smart people came along and reverse engineered that format and allowed us to do all kinds of neat things we weren't supposed to. I see modding communities for games are more popular than ever, and finding this project brought back lots of great memories.
At the time, I tried using a stunt like defining one huge blob that "eats" the main file, then reaching back into it as we learned more, but it looks like somewhere along the way they acquired a "substream" behavior (https://github.com/kaitai-io/kaitai_struct_doc/blob/c53060f7...) so maybe it's worth another look
I took a few minutes just to kick the tires on the startxref of PDF, to get a feel for how the substream business plays out, and then stopped when I got to the part about how the offset position is written in a dynamically sized ascii string but represents an offset in the file
meta:
id: pdf
file-extension: pdf
endian: le
seq:
- id: magic_bytes
contents: '%PDF-'
instances:
startxref_hack:
type: startxref_hack0
pos: _root._io.size - 24
# pick a reasonable guess to wind backward
size: 24 - 5
eof_marker:
# contents: '%%EOF'
type: str
encoding: ASCII
size: 5
# this isn't strictly accurate,
# due to any optional CRLF trailing bytes
pos: _root._io.size - 5
types:
eat_until_lf:
seq:
- id: dummy
type: u1
repeat: until
repeat-until: _ == 0xA
startxref_hack0:
seq:
# this isn't accurate, since we may have jumped
# into "endobj\n" or worse
- id: junk
type: eat_until_lf
- id: startxref_kw
contents: 'startxref'
- id: startxref_crlf
type: eat_until_lf
- id: startxref_offset
type: str
encoding: ASCII
terminator: 0xA
As best I can tell, the actual definition would involve a hypothetical `repeat: until-backward` where it starts at EOF (-5 in our case, due to the known EOF constant), reads backward until it hits LF (and/or CR!), captures that as the startxref offset, reads backward eating CR/LF, skips backward `strlen("startxref")` bytes, and then is when the tomfoolery starts about reading the "xref" stanza, which, again, is a ascii description of more binary offsets, using zero-prefix padded numbers because of course it doesDon't get me wrong -- it's entirely possible that kaitai is targeting _strictly binary_ formats written by sane engineering teams, but the file format I was going after had a boatload of that jumping-around, repeating structs-of-offsets, too, so my holding up PDF as a worst-case example isn't ludicrous, either
https://kernel-recipes.org/en/2019/talks/gnu-poke-an-extensi...
I wish my predecessor at Krita had made that choice, instead of choosing to re-use the KOffice xml-based file format that's basically a zip file with stuff in it. It would have made adding the animation feature so much easier.
SQLite also has a lot of tutorials and books and language support. I've used it with Python, C#, Perl, TCL, and Powershell with no issues. You can access it via the command-line or you can hook into it with a fully graphical SQL IDE like DB-Visualizer (I really recommend using an IDE for interactive SQL use). If your language doesn't have built-in or library support, even a novice programmer like myself can roll a few functions together to build the tables, update, delete, and run queries to analyze the data if you can run some system commands. It's a wonderful little technology that I feel comfortable reaching to when I need it.
One thing I've shied away from over the years are technologies which require running complex installers as it makes things more confusing and makes it harder for me to share with colleagues that aren't as interested in programming. Both SQLite and DB-Visualizer require zero installation. I just put each in a folder and then run the executable. This is really easy to use to me and easy to get others started too. Note that this is not commercial software, but internal business apps to help people do complex tasks easier. So you have a script that does some data processing pushes that data to SQLite and then the user can bring up DB-VISUALIZER, point it to the little SQLite .db file I created and then get to work. We have a lot of little apps like this and since most of our engineers are really good with SQL, they can do whatever they need efficiently.
> SQLite does not compete with client/server databases. SQLite competes with fopen().
This undersells SQLite somewhat. Like Berkeley DB, SQLite was created as an alternative to dbm [1] and one of the main use cases is safe multi-process access to a single data file, typically CLI apps (written in C, TCL, etc.).
Client-Server databases tackle multi-user concurrency while embedded databases often tackle multi-process concurrency.
This article has long been part of the SQLite documentation found under the "Advocacy" section. There is also a short version. [2]
If you're working with something analogous to a text document, this snapshot-and-serialize approach to saving works fine. If you're working with other types of data, though, this approach only works for trivial projects; once your document exceeds ~100MB, the overhead of snapshotting+serializing your object graph becomes bad enough that people stop saving very often (dangerous!), and it also makes the saving process itself more fragile (since the longer a save takes, the more likely it becomes that the process might be killed by some natural event like a power cut during it†.)
And, once your project size exceeds the average computer's memory capacity, an in-memory canonical representation quickly becomes untenable. You start to have to resort to hacks like forcing the user to "partition" their project, only allowing the user to work with one pieces at a time.
With an applicaton store-keeping format, you have none of these concerns; the store is itself the canonical data location. You don't have a canonical in-memory representation of the data; the in-memory representation is simply a write-through or write-back caching layer for the object graph on disk, and the cache can be flushed at any time. Or you may not have a cache at all; many systems that use SQLite as a file-format just do SQL queries directly whenever they want to know something, never instantiating any intermediate in-memory representation of the data itself, only retrieving "reports" built from it.
† You can fix fragile saving with a WAL log, but now the WAL log is your true application state-keeping format, with the XML format just being a convenient rollup representation of it.
This is one I take very seriously, after I got bit by it. I was saving state by writing s-expressions to a text file; it seemed a reasonable enough thing to do even with tens of megabytes of it, until my laptop turned off in the middle of a write. After recovering from a backup and losing several hours of work in the process, I switched to SQLite that evening.
If you're editing images I'd think it'd just makes more sense to have all of your stuff in RAM and then a saving-to-disk is done on a separate thread. I don't quite get why the users would stop saving in this example.
I'm not saying you're wrong - but more asking for some more details b/c I've never imagined using a DB on data that can fit in RAM
For example, imagine a word processing program opening a document and showing you the first page: you could load 50MB of kitchen sink XML and 250 embedded images from a zip file and then start doing something with the resulting canonical representation, or you could load the bare minimum of metadata (e.g. page size) from the appropriate tables and the content that goes in the first page from carefully indexed tables of objects. Which variant is likely to load faster? Which one is guaranteed to load useless data? Which one can save the document more quickly and efficiently (one paragraph instead of a whole document or a messy update log) when you edit text?
Also, it's zip + xml files + binary files, not all xml.
I don't have to manually manage schema or create tables - they're all lazily created from Dict keys on insertion, but indexes and SQL can still be used as desired.
This lends itself really well to Jupyter notebook assisted development, where functions can be quickly and interactively iterated without having to muck around with existing tables whenever data changes shape.
It's been a real productivity boost, and I've been looking around for something similar to use in Clojure.
I presume it splits all the audio up into small files so that most types of edits can only need to touch a small area.
If you directly ported that to SQLite, would it work fairly well, or would you want to restructure it somehow? Things like additions or deletions, would it need to write lots of extra data to the disk (would it be doing something like defragmenting, or would it grow larger than it should, or are there other tricks that I don’t know about to delete a chunk from the middle of a file without needing to rewrite all of the file beyond that point)?
You could also consider putting the audio files into the sqlite db, which might work alright. I've heard of image thumbnails being stored in sqlite dbs (maybe by Lightroom iirc?) though those are probably smaller than your audio clips I'm guessing.
Very interesting concept but now I think perhaps application file format using TileDB will be much better since it can support sparse data as well [1].
Moreover, database tables are a very good fit for sparse multidimensional arrays.
Going from having high hundreds of tiny files on disk per topo photo to just one was an incredible boon to productivity for things like data backup and transferring files onto the device for testing.
I take the finished desktop-publishing documents and extract and package the data to put into the app, including tiling the images so we can have very high resolution photos on low-end devices.
There's a semi-technical article about the topo-view implementation here:
https://www.ukclimbing.com/articles/features/rockfax_app_dee...
Has anyone used SQLite remotely over a network?
People have built layers over it though
No doubt this was an indication that the network file system was incorrectly configured, but I think the fact that it worked in practice with the file-based format and didn't with the SQLite format is a strike against the idea of using SQLite for what the user sees as saving a file.
> But use caution: this locking mechanism might not work correctly if the database file is kept on an NFS filesystem. This is because fcntl() file locking is broken on many NFS implementations. You should avoid putting SQLite database files on NFS if multiple processes might try to access the file at the same time.
But you also have to worry about SQLite (reasonably) refusing to operate because it tries to make a locking call and gets an error response. I think there are options to turn that off, though.
https://github.com/rqlite/rqlite
You can have a single over-the-network database or a cluster of replica dbs (through Raft consensus).
So, basically I rolled my own sync solution that just happens to use SQLite. It's worth noting that I started this project by storing the data in my own format (JSON, at first) and quickly realized it was growing too large and was taking too long to serialize/deserialize. I'm very glad to have ended up using SQLite instead because it is super easy to use and has been reliable.
As for high-availability, isn't a single file on your disk the most available thing there is? :)
Storing blobs on the DB makes the data more consistent (the database is always in sync with the file content), and allows you to use advanced features of the DB on these files (transactions, SQL queries, data rollback ...). You also only have to backup the DB.
Storing links to the objects is usually more scalable, as your DB will not grow as fast. DBs are usually harder to scale, and also more expensive (at least 10x per GB).
It really depends on the project, but I'm favoring more and more storing the data in BLOBs, as it makes backups easier and as I can use SQL queries directly on the data. Databases as a service also make it easy to scale DBs up to +/- 2TB. But the cost might still be an issue.
Expensive in what way? Memory/Compute? It can't be licensing money since SQLite is public domain.
In my view, storing blobs in sqlite doesn't have a huge disadvantage tied to it. Sqlite grows pretty linearly and as it stores the whole db in a single file, hosting provider doesn't even have to know about you using it.
As a simple example, Word documents are just zipped XML text files (try unzipping a .docx and looking inside). Instead of using this, you could a SQLite .db file (probably with a different extension), translating the XML files into tables, and folders into databases. The OpenOffice case study has more details: https://sqlite.org/affcase1.html
Any application state that can be recorded in a pile-of-files can also be recorded in an SQLite database with a simple key/value schema like this:
CREATE TABLE files(filename TEXT PRIMARY KEY, content BLOB);Sometimes all that is known about data is it exists - in that case, into the database as a blob it shall go. If it can be decomposed it probably should be.
Your Helpdesk example used SQLServer problematically because a SQL database shouldn’t be used as an arbitrary file store. But if you know what the file structure is and have a reasonable grasp for how it might scale (that each binary blob is small, that each user only adds one row to the database, etc), there are huge advantages to “a SQLite table with lots of binary and text columns” versus “a folder with lots of binary and text files.” And if those text files are just small key-value pairs then maybe they should also go in SQLite.
We don't really create too many new file formats these days, and if we did they're highly performance specialized (parquet, arrow).
Just wondering aloud, what recent file format would have benefited from being based on sqlite?
Suppose, for example, that you were going to make your own implementation of Git. The normal implementation has a bunch of blobs under one directory. There's not much use in manipulating this directory separately from everything else under .git. The blobs and most of the non-blob stuff are only useful together anyway, so you already manage them as a single collection.
It could create problems for certain backup tools, so that's a disadvantage. But it also simplifies application development. So it's not a slam dunk one way or the other.
Storing huge blobs then becomes a matter of "is this my data, or is this general data that I'm merely also making use of". Examples abound of both:
- Adobe Lightroom (a non-destructive photo editor) goes with "these are not my images" and leaves them out of its sqlite "lrcat" files, instead maintaining a record of where files can be found on-disk.
- Clip Studio (a graphics program tailored for digital artists) on the other hand stores everything, because that's what you want: even if you imported 20 images as layers, that data is now strongly tied to a single project, and should absolutely all be in a single file.
So the key point here is that, yes: sqlite files are database, but because they're also single files on disk, their _use_ extends far beyond what a normal database allows. As application file format, the rules for application files apply, not the rules for standard databases.
Is having everything in one gigantic .db file an actual downside? What makes a database's size "unmanageable"? Presumably, you'd have to store that business information somewhere anyways, right? I don't understand how 1 unified file is unmanageable, but splitting that concern up into 2 different domains magically makes it better.
So, the other computer you used was probably running an older version of SQLite. Just update it to make it work.
I haven't looked but there will be some sqlite command to query it and I'm sure some viewer tools will display it as well.
$ python -c 'import sys, struct; print(struct.unpack(">I", open(sys.argv[1], "rb").read()[96:100])[0])' foo.db $ file example.db
example.db: SQLite 3.x database, last written using SQLite version 3007017Alas, they encrypted the file starting two years ago.
Main reason for existence of lot of file formats is that enterprises don't want just about everyone access their files and modifying them. It greatly reduces the usage of their proprietary software hence their revenues.
I remember the days when open office trying to render doc file but formatting used to suck big time.
Open source softwares should leverage this kind of file formats for inter operating.
I'm sure this does happen, but it seems more like MBA-paranoia than a legitimate concern. For instance I sincerely doubt Adobe has lost any revenue by using SQLite with lightroom, despite various open source tools being able to interact with their lrcat (sqlite) files.
True, this requires care to ensure that such files are updated reliably, but that's not quite rocket science.
I have some ideas on how to do this, but I'm curious if there's a "preferred" way to do it.
If it's popular and valuable enough, instructions and/or code to break it automatically will then be published, regardless of how much money or time you invested into the protection. (For proof, look no further than the game industry's DRM over the past 30 or so years)
I mean, I agree that games should be moddable, but not from the premise of game profitability and popularity.
The highest-grossing video game franchise list is over-ran by products that are , pretty much, famously unmoddable.[0]
[0]: https://en.wikipedia.org/wiki/List_of_highest-grossing_video...
If you haven't already, I suggest cruising through TCRF: https://tcrf.net/The_Cutting_Room_Floor
It’s really not worth the effort IMHO
Any classes that need to be saved had serialize() and deserialize() functions. Serialize before saving to SQLite and if read in, deserialize after reading it from the DB.
Also XML makes me weep and I'll never willingly opt to use it if there's an alternative, but that's my own prejudice.
If you're having to do things like updates over a large dataset, SQLITE can be nice because of the performance boosts from indexing.
Once your XML file hits a certain size, minor updates incur a gigantic performance penalty because you have to write out the entire XML file every time.
Random writes in the middle of an XML file are impossible. For example, if you were to change an attribute so that it's one character longer, you still have to rewrite the remainder of the file in order to shift everything over by one character.
That's the main reason why SQLite is so popular for applications.
(I know that's from personal experience. I had to support an old version of an application that constantly wrote out XML while the new version that we hadn't shipped used SQLite. A customer that made heavy use of the old version basically hit the limits of XML but the version that used SQLite wasn't ready for them yet.)
But, I'm going to be honest here: We had some tables that only had a few rows, so I moved those to XML files. QE really liked it because it was easy to diagnose issues.
Now your application should continuously save without any manual steps.
Probably tons more if you care to dig around.
I did, however, "enhance" it a bit (or "proprietarize" it) by encrypting it with a short password and an AES algorithm with some uncommon settings. I never shipped it that way, but the output file looked like any other proprietary app's file - a mess of random symbols.
The only thing I miss is the ability to jump X% into an index. Not a deal-breaker, though.
The needs for concurrent SQLite pretty much covers the need for a robust file system.
Also, does SQLLite have libraries in the native code for the major languages to read and write to them? XML (ugh), JSON, and YAML have managed to get decent implementations in almost all major languages.
SQLite databases can be edited with with generic GUI and command line tools, both SQL-based and tabular editors, which are safer and more convenient than a text editor could ever be.
(And in most cases that's not a bad thing, it's free and open source.)
But, if you truly want an open file format, someone needs to be able to independently write a program that can read your file without relying on third party dependencies. This is why the browser vendors decided not to put SQLite into the HTML and JavaScript standards.
It is an awesome product! I've worked with it for over a decade and I'm a fan!
It's more than "open source" it's in the public domain.
The file format is fully documented and if someone like ISO or ANSI wanted to, they could make a standard out of it. It's also forward compatible since inception and versioned.
The browser vendors decided not to put SQLite into their browsers because "key/value good, SQL bad" and "not invented here".
IndexedDB is a clumsy reinvention with minimal ACID properties and isn't far advanced from ISAM. They could have used the SQLite file format and implemented IndexedDB as an API over the top. They could have allowed both standards to be implemented and then let reality take its course to choose which one was successful.
Is it possible to extract or change these databases?
I have a few (offline) apps on my phone that I’d love to append data to
Just have a look at /data/data/appname/.
For example, this is what I copy to make backups of my contacts on my Android phone:
> # pwd
> /data/data/com.android.providers.contacts/databases
>
> # ls -1
> calllog.db
> contacts2.db
> profile.db
This is a simple way for moving data around, restoring applications, performing backups, editing your data (if you know your way inside the app).
Beware of the selinux labels if you are moving files across different devices, as recent android version now run with selinux in enforcing mode.
Just be sure to adjust them (useful commands if you need a reference: ls -lZ, chcon, semanage).
I worked on an app that did the former many years ago (to an Access database, not sqlite), and it did not go well because this broke user expectations on the usual "open/save/save as" model.
Another option would be to keep both the in-memory and on-disk copies open, and then update the on-disk version in-place with the in-memory version's data when the user clicks Save. SQLite has built-in support for connecting multiple DBs (such that you can query both in the same statement) to make this straightforward.
Embedded Systems: Yes
Raspberry Pi : Yes
Mobile Apps. : Yes
Desktop Apps : Yes
Browsers : No
Servers : Yes
Supercomputers : Yes
The reason why it was never adopted was because the browser makers wanted to be able to independently implement their own database instead of everyone having to use the same source code.
The application ID number in the SQLite header can be used to identify application file formats. The application ID number is a 32-bit number, and there have been a few different ways to handle it; I have seen the use of hexadecimal and of ASCII; I used base thirty-six, and I have then later seen the suggestion to use RADIX-50. Additionally, there is a document about "defense against dark arts" in case you need to load untrusted files.
TeXnicard uses a SQLite database file (with application ID 1778603844) for the card database file. The version control file (optional, and not fully implemented yet) uses a custom format (which is fully documented), and it does support atomic transactions. It consists of a header followed by a sequence of frames, which are key frames and delta frames. The header of the version control file contains two pointers: one to the beginning of the most recently committed key frame, and the other one to the end of the most recently committed frame (whether a key frame or a delta frame; if all frames are fully committed, this will be equal to the length of the file). These pointers are written only after the rest of the file is written; if it gets interrupted, reads will ignore the partially written data, and further writes will overwrite the partially written data.
ZZ Zero uses a Hamster archive of custom (but documented) formats as its world file format. (A Hamster archive is zero or more "lumps" concatenated together. A lump consists of a null-terminated ASCII filename, 32-bit PDP-endian data size (measured in bytes), and then the data of that lump. The preceding text in these parentheses is the full definition of the Hamster archive format; you can use this to implement your own.)
Free Hero Mesh uses a "pile-of-wrapped-pile-of-files" format. A puzzle set consists of four files: .class (which stores class definitions), .xclass (which stores pictures and sounds to be used by the class definitions), .level (which stores levels), and .solution (which stores solutions). The .class file is a plain text file; the other three are Hamster archives. These are four logically distinct parts of a puzzle set; this allows you to split them apart, to create symlinks to share class definitions with puzzle sets, to substitute your own graphics, to work with multiple solution sets (e.g. per user), etc. If you need to do more than that, then you can of course extract the lumps if needed. For class definitions, you can just copy and paste the text.
MegaZeux used a fully custom format before, but now it uses a ZIP archive with the stuff inside being custom formats (one of which is the "MegaZeux Property List" format, which I have documented in Just Solve The File Format wiki; the authors of MegaZeux did not seem to document this format themself anywhere, so I figured it out and did it by myself).
For some cases, SQLite database is a good application file format; other times, I think other formats (such as text formats) may be better. It depends on the application. XML is too often used for stuff that isn't text markup stuff, and XML is especially bad for stuff that isn't text markup stuff, I think.
If you use SQLite though, you will get more than just the database access. It also gives you the string builder functions, the sqlite3_mprintf function, a page cache implementation, memory usage statistics, and a SQL interpreter; the SQL interpreter can be used as one way to allow user customization and user queries (including batch operations), without having to make an entirely new scripting language to embed.
They mention interfaces of SQLite are available for many other programming languages, although at least one that doesn't seem to have a interface to SQLite is PostScript (although you can use %pipe%, it doesn't work so well especially since it is only a one way pipe), and I am not sure if awk has it either.
Date Time Attr Size Compressed Name
------------------- ----- ------------ ------------ ------------------------
..... 35842 36352 WordDocument
..... 106 128 [1]CompObj
..... 4096 4096 1Table
..... 4096 4096 Data
2007-12-25 22:33:00 D.... ObjectPool
..... 4096 4096 [5]DocumentSummaryInformation
..... 4096 4096 [5]SummaryInformation
------------------- ----- ------------ ------------ ------------------------
52332 52864 6 files, 1 foldersIn my job we used a fat filesystem as a storage system and recently switched to sqlite, and while i love it i didn't really find any alternative.
They say that SQLite is more in competition with fopen, for file open, rather than a true RDMS system.
You can work around it by working in memory and writing out a whole new database from in memory structures on save and then do the atomic rename. But if you do that, you are probably better off with json, protobuf, or similar. The libraries around these formats are similarly battle tested, but they fit the needs better, supporting working in ram fully and then saving cleanly and easily.
The kind of application files they are talking about (things like word processor documents, spreadsheets, drawings, source code control system data) would only be writing sporadically. During one of those sporadic writes they might need to update thousands of rows but those could all be done in one transaction.
Reference: https://www.sqlite.org/faq.html, question 19. (I've seen similar when testing on SSDs locally).
It has generally become much better in the last decade or two, but one should still expect most OS's to sometimes pause for excessive amounts of time on disk IO unless the API is specifically guaranteed to never pause. Even then one would be wise to measure/log deviations if it's critical for the application. OS guarantees might also be contingent on driver/subsystem guarantees, and bad drivers might sometimes affect what seems completely unrelated upstream systems.
Yes, and other file formats encourage doing things in memory, so you don't have any disk i/o in the common path.
Using sqlite as a file format strongly discourages the simple, jank-free until you press save workflow of slurping your content, operating on it in memory, and then outputting it all in one operation as a response to an explicit user action. Instead, your whole application gets small but perceptible delays across all operations and interactions.
It's not "their" experience report.
And to be clear: this will still be user-visible with literally any other file format. The slow part ain't SQLite itself; it's the disk to which you're writing.
Are you talking about a server application?
> or unsafe if you find for performance (you can get it up to, IIRC, ~50k transactions per second, but if your program or computer dies half way, your file is hosed)
Never heard that SQLite has unsafe operations. Any source?
I'm talking about doing a handful of transactions -- even a single one, now that I looked at the actual numbers that sqlite discusses -- being enough to introduce user-visible jank.
> Never heard that SQLite has unsafe operations. Any source?
The sqlite docs. You can improve the performance of sqlite by multiple orders of magnitude by messing with things like https://www.sqlite.org/pragma.html#pragma_synchronous, at the cost of safe atomic updates.
Thanks for the link, but only when the OS or your computer crashes, not even the application itself. Could you introduce any application file format that is safe in that case? Obviously your JSON file format is much more unsafe than that, not to mention the huge overhead of JSON with binary data.
Ah, right there are also the journalling knobs that you'd tweak to get to max performance -- either in-memory or no journalling at all make a big impact. There are a bunch of them scattered throughout the docs.
> Could you introduce any application file format that is safe in that case? Obviously your JSON file format is much more unsafe than that, not to mention the huge overhead of JSON with binary data.
Yes, any format is safe if you write to a temporary file, and then rename(2) it to replace it. This is guaranteed to be atomic, so it works with anything (including sqlite, though at that point all sqlite does is cost you performance and complexity).
Doesn't this apply to writing files in general? It's not unique to SQLite...
Edit: Nope, SQLite is designed to be protected against crashes, even OS crashes.
Huh?
I was pushing updates to a SQLite file on my laptop a few weeks ago with code that's not at all optimised, and wasn't too fussed with ~400 transactions a second, sustained for a minute or so.
What were you doing that only gave 10 transactions a second?
In the ECS paradigm, everything is stored as struct-of-arrays as opposed to array-of-structs (https://en.wikipedia.org/wiki/AoS_and_SoA) and as a result, your serialization becomes trivial. You are not chasing pointers to other objects when serializing. Apple's Core Data takes the object graph approach and it's a real clusterfuck.
ECS is very similar to databases in that your data is normalized and things are referenced by offsets rather than pointers https://floooh.github.io/2018/06/17/handles-vs-pointers.html).
Why roll your own thing as opposed to use say SQLite? If you use SQLite, you will probably have some OOP on top of it which introduces a serious impedance mismatch. With ECS, you cut that whole layer out.
I'm guessing that I'm losing on some atomicity but for my use case that doesn't matter that much.
If your purpose is an editing tool you may want to reconsider. Editing changes the goal in a very substantial way and the complexity of your queries goes way up, which is where SQL syntax absolutely shines.