Cornucopia is a small CLI utility resting on tokio-postgres
and designed to facilitate PostgresQL workflows in Rust.
Cornucopia aims to get out of your way, transpiling your queries to Rust on demand without requiring you to maintain a live database connection. Each query is prepared against your schema, ensuring that the statement is valid SQL. These prepared statements are then be used to generate properly typed rust code for this query. Keep reading for more info, or take a look at the examples folder for a quickstart 🚀
The CLI spawns a postgres
container when it has to generate Rust modules. Thus, you need to have a working docker
. Note that on Linux non-sudo users need to be in the docker group. Read the official installation and post-installation steps.
Cornucopia will generate queries powered by the tokio
runtime through tokio-postgres
and deadpool-postgres
, so you will need add the latest version of these to your dependencies. You might need more dependencies depending on which features you inted to use, The code block below shows an example of what your dependencies might look like with every feature that cornucopia
supports:
# Cargo.toml
[dependencies]
tokio = { version = "1.17.0", features = ["full"] }
deadpool-postgres = { version = "0.10.2", features = ["serde"] }
tokio-postgres = { version = "0.7.5", features = [
"with-serde_json-1",
"with-time-0_3",
"with-uuid-0_8",
] }
serde = { version = "1.0.136", features = ["derive"] }
serde_json = "1.0.79"
time = "0.3.9"
uuid = "0.8.2"
You can omit tokio-postgres
feature flags for json
, time
and uuid
and their corresponding crates if you don't need them.
Aside from the dependencies, you will need the lightweight cornucopia
cli to generate your Rust modules. This can be done via a simple cargo install cornucopia
which will pull the latest binary and install it in your cargo
path.
This section explain a bit more about how cornucopia works. If you just want to get started, take a look at the examples folder.
Cornucopia is pretty simple to use. Your migrations and queries should each reside in a dedicated folder, and from there the CLI takes care of the rest for you. In the next sections, we'll explore the basic usage, but feel free to explore the CLI's whole interface using the --help
option at any point.
New migrations can be added using the command cornucopia migration new
. Cornucopia will automatically manage migrations when it generates your Rust modules, but you can also use the command cornucopia migration run
to run migrations on your production database too if you so desire.
Each .sql
file in your query directory will be converted into a Rust module containing functions corresponding to these queries. These functions are fully typed so you know exactly what parameters it takes, and what it returns. Queries are augmented by special comments allowing you you quickly fine-tune them.
Assuming you have the following migration
CREATE TABLE Authors (
Id SERIAL NOT NULL,
Name VARCHAR(70) NOT NULL,
Country VARCHAR(100) NOT NULL,
PRIMARY KEY(Id)
);
then, the following query
--! authors()*
SELECT * FROM Authors;
will be turned by cornucopia
into
pub async fn authors(client: &Client) -> Result<Vec<(i32, String, String)>, Error> {
let stmt = client
.prepare_typed_cached(
"SELECT * FROM Authors;", &[],
)
.await?;
let res = client.query(&stmt, &[]).await?;
let return_value = res
.iter()
.map(|res| {
let return_value_0: i32 = res.get(0);
let return_value_1: String = res.get(1);
let return_value_2: String = res.get(2);
(return_value_0, return_value_1, return_value_2)
})
.collect::<Vec<(i32, String, String)>>();
Ok(return_value)
}
Not bad! The generated function uses prepared statements, a statement cache, and strong typing (Notice how the returned rows' types have been inferred!). This is only a taste of what you can achieve, but should be fairly representative of what's going on under the hood.
As you may have noticed from the previous section, this little comment --! authors()*
is doing a lot of heavy-lifting for us. It tells cornucopia
to generate a function name authors
which takes no parameters. Since there is no specified return, cornucopia lets Postgres infer the types itself, which it is usually pretty good at. Then, there's the asterisk *
which signals that this query will return zero or more results. That's how we ended up with a Vec
in the generated query in the section above.
Note that comments that do not start with --!
are simply ignored by cornucopia
, so feel free to use them as you usually would.
So, what else can we do with those annotations? The grammar can be summed up as:
<NAME> (<PARAMS>) <RETURN_TYPE> <QUANTIFIER>
In the next sections we'll explore a bit more what these options mean and what you can do with them. The regexp-esque notation used in this section to describe the grammar is for illustrative purposes only, The full grammar is available in the grammar.pest
file.
The name of the generated function. Has to be a valid Rust identifier.
The parameters of the prepared statement, separated by commas, with an optional trailing comma.
The order in which parameters are given corresponds to the parameter number (e.g. the first parameter is $1
in the statement). Every PostgresQL parameter $i
must have a corresponding parameter in the meta parameter list . If the param type is ambiguous, you can specify it using the syntax <IDENT> : <TYPE>
where <TYPE>
is a PostgresQL type supported by cornycopia. These are called override parameters. Otherwise, a param consisys simply of an identifier: the type is inferred from the prepared statements. These are called inferred parameters. Override parameters must come before inferred parameters. Again, we can sum this up as
<PARAMS> = <OVERRIDE>?, <INFERRED>?
where <OVERRIDE> = <IDENT> : <TYPE>
and <INFERRED> = <IDENT>
.
There are two kinds of returns, implicit and explicit.
Implicit returns don't name the returned columns. The column types are inferred using prepared statements. To make a return implicit, simply omit it (you don't have to write anything).
Implicit returns are further categorized into void, scalar, and tuple types dependenging on the number of columns returned. For example,
- A query returning no column would result in
()
- A query returning a single
TEXT
column would result inString
, - A query returning a
TEXT
and aINTEGER
would result in(String, i32)
Explicit returns give a name to the returned columns. The column types are inferred using prepared statements. To make a return explicit, list the returned column names inside brackets, in the same order as they are returned in the statement, separated by commas, with an optional trailing comma. There must be exactly as many names in the explicit return the as there are returned columns.
Each query that has an explicit return will generate a Rust struct
to hold the query data. For example, this query
--! example_query() {name, country} *
SELECT Name, Country FROM Authors;
would result in this struct being generated
pub struct ExampleQuery {
pub name: String,
pub country: String
}
pub async fn authors(client: &Client) -> Result<Vec<ExampleQuery>, Error> {
/* ....omitted for brevity... */
}
The quantifier indicates the expected number of rows to be returned by a query. If no quantifier is specified, the it is assumed that only one record is to be returned. Using *
and ?
(corresponding to the "zero or more" and "zero or one" quantifiers) will wrap the resulting rust type in a Vec
and Option
respectively. To sum it up:
- no quantifier results in
T
*
results inVec<T>
?
results inOption<T>
Cornucopia actually generates two versions of your queries, one that accepts a regular client, while the other version (named with a *_tx
suffix) accepts a transaction.
PostgrsQL type | Rust type |
---|---|
bool, boolean | bool |
char, character | i8 |
smallint, int2, smallserial, serial2 | i16 |
int, int4, serial, serial4 | i32 |
bigint, int8, bigserial, serial8 | i64 |
real, float4 | f32 |
double precision, float8 | f64 |
text | String |
varchar | String |
bytea | Vec |
timestamp without time zone, timestamp | time::PrimitiveDateTime |
timestamp with time zone, timestamptz | time::OffsetDateTime |
date | time::Date |
time | time::Time |
json | serde_json::Value |
jsonb | serde_json::Value |
uuid | uuid::Uuid |
Licensed under the MIT license.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.