maybe ready to post
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title = "A One-Part Serialized Mystery"
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slug = "one-part-serialized-mystery"
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date = "2023-06-29"
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updated = "2023-06-29"
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updated = "2023-07-29"
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[taxonomies]
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tags = ["software", "rnd", "proclamation", "upscm", "rust"]
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tags = ["software", "rnd", "proclamation", "upscm", "rust", "ulid", "sqlite"]
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+++
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# *Mise en Scene*
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@ -2,9 +2,9 @@
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title = "A One-Part Serialized Mystery, Part 2: The Benchmarks"
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slug = "one-part-serialized-mystery-part-2"
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date = "2023-07-15"
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updated = "2023-07-21"
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updated = "2023-07-29"
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[taxonomies]
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tags = ["software", "rnd", "proclamation", "upscm", "rust", "sqlite"]
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tags = ["software", "rnd", "proclamation", "upscm", "rust", "sqlite", "ulid"]
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+++
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# A one-part serial mystery post-hoc prequel
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283
content/sundries/presenting-julids/index.md
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content/sundries/presenting-julids/index.md
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+++
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title = "Presenting Julids: another fine sundry, by Nebcorp Heavy Industries and Sundries"
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slug = "presenting-julids"
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date = "2023-07-29"
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[taxonomies]
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tags = ["software", "sundry", "proclamation", "sqlite", "rust", "ulid", "julid"]
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+++
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# Presenting Julids
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Nebcorp Heavy Industries and Sundries, long a world leader in sundries, is proud to present the
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official globally unique sortable identifier type for all Nebcorp HIAS', and all Nebcorp companies'
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database entities, [Julids](https://gitlab.com/nebkor/julid). Julids are globally unique sortable
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identifiers, backwards-compatible with [ULIDs](https://github.com/ulid/spec).
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Inside your Rust program, simply add `julid-rs` to your project's `Cargo.toml` file, and use it
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like:
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``` rust
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use julid::Julid;
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fn main() {
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let id = Julid::new();
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dbg!(id.created_at(), id.as_string());
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}
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```
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Such a program would output something like:
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``` text
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[main.rs:2] id.created_at() = 2023-07-29T20:21:50.009Z
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[main.rs:2] id.as_string() = "01H6HN10SS00020YT344XMGA3C"
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```
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However, it can also be built as a [loadable extension](https://www.sqlite.org/loadext.html) for
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SQLite, adding database functions for creating and querying Julids:
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``` text
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$ sqlite3
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SQLite version 3.40.1 2022-12-28 14:03:47
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Enter ".help" for usage hints.
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Connected to a transient in-memory database.
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Use ".open FILENAME" to reopen on a persistent database.
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sqlite> .load ./libjulid
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sqlite> select hex(julid_new());
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018998768ACF000060B31DB175E0C5F9
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sqlite> select julid_string(julid_new());
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01H6C7D9CT00009TF3EXXJHX4Y
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sqlite> select julid_seconds(julid_new());
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1690480066.208
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sqlite> select datetime(julid_timestamp(julid_new()), 'auto');
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2023-07-27 17:47:50
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sqlite> select julid_counter(julid_new());
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0
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```
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## Julids vs ULIDs
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Julids are a drop-in replacement for ULIDs; all Julids are valid ULIDs, but not all ULIDs are valid Julids.
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Given their compatibility relationship, Julids and ULIDs must have quite a bit in common, and indeed
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they do:
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* they are 128-bits long
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* they are lexicographically sortable
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* they encode their creation time as the number of milliseconds since the [UNIX
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epoch](https://en.wikipedia.org/wiki/Unix_time)
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* their string representation is a 26-character [base-32
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Crockford](https://en.wikipedia.org/wiki/Base32) encoding of their big-endian bytes
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* IDs created within the same millisecond are still meant to sort in their order of creation
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Julids and ULIDs have different ways to implement that last piece. If you look at the layout of bits
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in a ULID, they look like this:
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![ULID bit structure](./ulid.svg)
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According to the ULID spec, for ULIDs created in the same millisecond, the least-significant bit
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should be incremented for each new ID. Since that portion of the ULID is random, that means you may
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not be able to increment it without spilling into the timestamp portion. Likewise, it's easy to
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guess a new possibly-valid ULID simply by incrementing an already-known one. And finally, this means
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that sorting will need to read all the way to the end of the ULID for IDs created in the same
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millisecond.
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To address these shortcomings, Julids (Joe's ULIDs) have the following structure:
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![Julid bit structure](./julid.svg)
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As with ULIDs, the 48 most-significant bits encode the time of creation. Unlike ULIDs, the next 16
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most-significant bits are not random: they're a monotonic counter for IDs created within the same
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millisecond[^monotonic]. Since it's only 16 bits, it will saturate after 65,536 IDs intra-millisecond creations,
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after which, IDs in that same millisecond will not have an intrinsic total order (the random bits
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will still be different, so you shouldn't have collisions). My PC, which is no slouch, can only
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generate about 20,000 per millisecond, so hopefully this is not an issue! Because the random bits
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are always fresh, it's not possible to easily guess a valid Julid if you already have a different
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valid one.
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# How to use
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As mentioned, the Julid crate can be used in two different ways: as a regular Rust library, declared
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in your Rust project's `Cargo.toml` file (say, by running `cargo add julid-rs`), and used as also
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shown above. There's a rudimentary
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[benchmark](https://gitlab.com/nebkor/julid/-/blob/main/examples/benchmark.rs) example in the repo,
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which I'll talk more about below. But the primary use case for me was as a loadable SQLite
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extension, as I [previously
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wrote](/rnd/one-part-serialized-mystery-part-2/#next-steps-with-ids). Both are covered in the
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[documentation](https://docs.rs/julid-rs/latest/julid/), but let's go over them here, starting with
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the extension.
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## Inside SQLite as a loadable extension
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The extension, when loaded into SQLite, provides the following functions:
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* `julid_new()`: create a new Julid and return it as a 16-byte
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[blob](https://www.sqlite.org/datatype3.html#storage_classes_and_datatypes)
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* `julid_seconds(julid)`: get the number seconds (as a 64-bit float) since the UNIX epoch that this
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julid was created
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* `julid_counter(julid)`: show the value of this julid's monotonic counter
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* `julid_sortable(julid)`: return the 64-bit concatenation of the timestamp and counter
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* `julid_string(julid)`: show the [base-32 Crockford](https://en.wikipedia.org/wiki/Base32)
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encoding of this julid; the raw bytes won't be valid UTF-8, so use this or the built-in `hex()`
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function to `select` a human-readable representation
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### Building and loading
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If you want to use it as a SQLite extension:
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* clone the [repo](https://gitlab.com/nebkor/julid)
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* build it with `cargo build --features plugin` (this builds the SQLite extension)
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* copy the resulting `libjulid.[so|dylib|whatevs]` to some place where you can...
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* load it into SQLite with `.load /path/to/libjulid` as shown at the top
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* party
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If you, like me, wish to use Julids as primary keys, just create your table like:
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``` sql
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create table users (
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id blob not null primary key default (julid_new()),
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...
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);
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```
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and you've got a first-class ticket straight to Julid City, baby!
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For a table created like:
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``` sql
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-- table of things to watch
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create table if not exists watches (
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id blob not null primary key default (julid_new()),
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kind int not null, -- enum for movie or tv show or whatev
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title text not null,
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metadata_url text, -- possible url for imdb or other metadata-esque site to show the user
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length int,
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release_date int,
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added_by blob not null, -- ID of the user that added it
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last_updated int not null default (unixepoch()),
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foreign key (added_by) references users (id)
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);
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```
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and then [some
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code](https://gitlab.com/nebkor/ww/-/blob/main/src/import_utils.rs?ref_type=heads#L92-126) that
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inserted rows into that table like
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``` sql
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insert into watches (kind, title, length, release_date, added_by) values (?,?,?,?,?)
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```
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where the wildcards get bound in a loop with unique values and the Julid `id` field is
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generated by the extension for each row, I get over 100,000 insertions/second.
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## Inside a Rust program
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Of course, you can also use it outside of a database; the `Julid` type is publicly exported. There's
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a simple benchmark in the examples folder of the repo, the important parts of which look like:
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``` rust
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use julid::Julid;
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fn main() {
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[....]
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let start = Instant::now();
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for _ in 0..num {
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v.push(Julid::new());
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}
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let end = Instant::now();
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let dur = (end - start).as_micros();
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for id in v.iter() {
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eprintln!(
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"{id}: created_at {}; counter: {}; sortable: {}",
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id.created_at(),
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id.counter(),
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id.sortable()
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);
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}
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println!("{num} Julids generated in {dur}us");
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```
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If you were to run it on a computer like mine[^my computer], you might see something like this:
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``` text
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$ cargo run --example=benchmark --release -- -n 30000 2> /dev/null
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30000 Julids generated in 1240us
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```
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That's about 24,000 IDs/millisecond; 24 *MILLION* per second!
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The default optional Cargo features include implementations of traits for getting Julids into and
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out of SQLite via [SQLx](https://github.com/launchbadge/sqlx), and for generally
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serializing/deserializing with [Serde](https://serde.rs/), via the `sqlx` and `serde` features,
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respectively. One final default optional feature, `chrono`, uses the Chrono crate to return the
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timestamp as a [`DateTime`](https://docs.rs/chrono/latest/chrono/struct.DateTime.html) by adding a
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`created_at(&self)` method to `Julid`.
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Something to note: don't enable the `plugin` feature in your Cargo.toml if you're using this crate
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inside your Rust application, *especially* if you're also loading it as an extension in SQLite in
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your application. You'll get a long and confusing runtime panic due to there being multiple
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entrypoints defined with the same name.
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## Safety
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There is one `unsafe fn` in this project, `sqlite_julid_init()`, and it is only built for the
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`plugin` feature. The reason for it is that it's interacting with foreign code (SQLite itself) via
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the C interface, which is inherently unsafe. If you are not building the plugin, there is no
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`unsafe` code.
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# Why Julids?
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The astute may note that this is the third time I've written recently about globally unique sortable
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IDs ([here is part one](/rnd/one-part-serialized-mystery), and [part two is
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here](/rnd/one-part-serialized-mystery-part-2)). What's, uh... what's up with that?
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![marge just thinks they're neat][marge ids]
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<div class = "caption">we both just think they're neat</div>
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Like Marge says, I just think they're neat! I'm not the only one; here are just some alternatives:
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* Segment's [KSUID](https://segment.com/blog/a-brief-history-of-the-uuid/), released in 2017. This
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was possibly my first exposure to this idea. They're 36 bits larger than UUIDs or ULIDs, but
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otherwise very similar to ULIDs (and hence Julids)
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* [ULIDs](https://github.com/ulid/spec), as previously discussed at length
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* [UUIDv7](https://www.ietf.org/archive/id/draft-peabody-dispatch-new-uuid-format-01.html#name-uuidv7-layout-and-bit-order);
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these are *very* similar to Julids; the primary difference is that the lower 62 bits are left up
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to the implementation, rather than always containing pseudorandom bits as in Julids (which use
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the lower 64 bits for that, instead of UUIDv7's 62)
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* [Snowflake ID](https://en.wikipedia.org/wiki/Snowflake_ID), developed by Twitter in 2010; these
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are 63-bit identifiers (so they fit in a signed 64-bit number), where the top 41 bits are a
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millisecond timestamp, the next 10 bits are a machine identifier[^twitter machine count], and the last 12 bits are for an
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intra-millisecond sequence counter (what Julid calls a "monotonic counter")
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and I'm sure the list can go on.
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As for what I wanted them for, I wanted to use them in my Rust and SQLite-based [web
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app](https://gitlab.com/nebkor/ww), in order to fix some deficiencies in ULIDs, as discussed. Now I
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have no unshaved yaks to distract me from getting back to that.
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So, is this the last I'll time I'll be writing at length about these things? It's hard to say for
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sure, but signs point to "yes". I hope you've found them at least a little interesting!
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# Thanks
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This crate wouldn't have been possible without a lot of inspiration (and a little shameless
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stealing) from the [ulid-rs](https://github.com/dylanhart/ulid-rs) crate. For the loadable
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extension, the [sqlite-loadable-rs](https://github.com/asg017/sqlite-loadable-rs) crate made it
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*extremely* easy to write; what I thought would take a couple days instead took a couple
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hours. Thank you, authors of those crates! Feel free to steal from this project!
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----
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[^monotonic]: At least, they will still have a total order if they're all generated within the same
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process in the same way; the crate and extension use an atomic u64 to ensure that IDs generated
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within the same millisecond have incremented counters, but that atomic counter is not global, so
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calling `Julid::new()` in Rust and `select julid_new()` in SQLite will not be aware of each
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others' counters.
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[^my computer]: According to the output of `lscpu`, my computer is an "AMD Ryzen 9 3900X 12-Core
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Processor", running between 2.2 and 4.6 GHz. It's no slouch!
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[^twitter machine count]: There are only ten bits for the machine ID, which means there are only
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1,024 possible machine IDs; did twitter only have a thousand machines in production? Maybe only
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a thousand at a time, so you could use the timestamp to look up what machine any given 10-bit ID
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referred to?
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[marge ids]: ./marge_thinks_theyre_neat.png "marge simpson holding a potato labeled 'globally unique sortable identifiers'"
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content/sundries/presenting-julids/julid.svg
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content/sundries/presenting-julids/marge_thinks_theyre_neat.png
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content/sundries/presenting-julids/marge_thinks_theyre_neat.png
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content/sundries/presenting-julids/ulid.svg
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1
content/sundries/presenting-julids/ulid.svg
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