| Crates.io | turso_ext |
| lib.rs | turso_ext |
| version | 0.2.0-pre.7 |
| created_at | 2025-06-30 08:24:33.274041+00 |
| updated_at | 2025-09-22 17:44:59.420812+00 |
| description | Limbo extensions core |
| homepage | |
| repository | https://github.com/tursodatabase/turso |
| max_upload_size | |
| id | 1731541 |
| size | 75,168 |
The turso_ext crate simplifies the creation and registration of libraries meant to extend the functionality of Turso, that can be loaded
like traditional sqlite3 extensions, but are able to be written in much more ergonomic Rust.
Attention
If you wish to link with extensions dynamically, you will need to coordinate the allocator with each extension you would like to load at runtime by either using MiMalloc (the default) or setting your global allocator of choice in macros/src/ext/mod.rs.
E.g
#[cfg(not(target_family = "wasm"))]
#[cfg(not(feature = "static"))]
#[global_allocator]
- static GLOBAL: mimalloc::MiMalloc = mimalloc::MiMalloc;
+ static GLOBAL: tikv_jemallocator::Jemalloc = tikv_jemallocator::Jemalloc
Then add the allocator to the extension you want to use
[target.'cfg(not(target_family = "wasm"))'.dependencies]
tikv-jemallocator = "0.5"
Then you just the compile the dynamic library and extract the necessary .so/.dylib/.dll files from .target folder.
scalar macro.AggregateDerive macro and AggFunc trait.VTabModuleDerive macro and VTabCursor trait.VfsExtension and VfsFile traits.On the root of the workspace run:
cargo new --lib extensions/your_crate_name
Add the crate to your extensions/your_crate_name/Cargo.toml:
This modification in Cargo.toml is only needed if you are creating an extension as a separate Crate. If you are
creating an extension inside core, this step should be skipped.
[features]
static = ["turso_ext/static"]
[dependencies]
turso_ext = { path = "path/to/limbo/extensions/core", features = ["static", "vfs"] } # temporary until crate is published
# mimalloc is required if you intend on linking dynamically. It is imported for you by the register_extension
# macro, so no configuration is needed. But it must be added to your Cargo.toml
[target.'cfg(not(target_family = "wasm"))'.dependencies]
mimalloc = { version = "0.1", default-features = false }
# NOTE: Crate must be of type `cdylib` if you wish to link dynamically
[lib]
crate-type = ["cdylib", "lib"]
cargo build will output a shared library that can be loaded by the following options:
`.load target/debug/libyour_crate_name`
SELECT load_extension('target/debug/libyour_crate_name')
Extensions can be registered with the register_extension! macro:
register_extension!{
scalars: { double }, // name of your function, if different from attribute name
aggregates: { Percentile },
vtabs: { CsvVTable },
vfs: { ExampleFS },
}
NOTE: Currently, any Derive macro used from this crate is required to be in the same
file as the register_extension macro.
use turso_ext::{register_extension, Value, scalar};
/// Annotate each with the scalar macro, specifying the name you would like to call it with
/// and optionally, an alias.. e.g. SELECT double(4); or SELECT twice(4);
#[scalar(name = "double", alias = "twice")]
fn double(&self, args: &[Value]) -> Value {
if let Some(arg) = args.first() {
match arg.value_type() {
ValueType::Float => {
let val = arg.to_float().unwrap();
Value::from_float(val * 2.0)
}
ValueType::Integer => {
let val = arg.to_integer().unwrap();
Value::from_integer(val * 2)
}
}
} else {
Value::null()
}
}
use turso_ext::{register_extension, AggregateDerive, AggFunc, Value};
/// annotate your struct with the AggregateDerive macro, and it must implement the below AggFunc trait
#[derive(AggregateDerive)]
struct Percentile;
impl AggFunc for Percentile {
/// The state to track during the steps
type State = (Vec<f64>, Option<f64>, Option<String>); // Tracks the values, Percentile, and errors
/// Define your error type, must impl Display
type Error = String;
/// Define the name you wish to call your function by.
/// e.g. SELECT percentile(value, 40);
const NAME: &str = "percentile";
/// Define the number of expected arguments for your function.
const ARGS: i32 = 2;
/// Define a function called on each row/value in a relevant group/column
fn step(state: &mut Self::State, args: &[Value]) {
let (values, p_value, error) = state;
if let (Some(y), Some(p)) = (
args.first().and_then(Value::to_float),
args.get(1).and_then(Value::to_float),
) {
if !(0.0..=100.0).contains(&p) {
*error = Some("Percentile P must be between 0 and 100.".to_string());
return;
}
if let Some(existing_p) = *p_value {
if (existing_p - p).abs() >= 0.001 {
*error = Some("P values must remain consistent.".to_string());
return;
}
} else {
*p_value = Some(p);
}
values.push(y);
}
}
/// A function to finalize the state into a value to be returned as a result
/// or an error (if you chose to track an error state as well)
fn finalize(state: Self::State) -> Result<Value, Self::Error> {
let (mut values, p_value, error) = state;
if let Some(error) = error {
return Err(error);
}
if values.is_empty() {
return Ok(Value::null());
}
values.sort_by(|a, b| a.partial_cmp(b).unwrap());
let n = values.len() as f64;
let p = p_value.unwrap();
let index = (p * (n - 1.0) / 100.0).floor() as usize;
Ok(Value::from_float(values[index]))
}
}
/// Example: A virtual table that operates on a CSV file as a database table.
/// This example assumes that the CSV file is located at "data.csv" in the current directory.
#[derive(Debug, VTabModuleDerive)]
struct CsvVTableModule;
impl VTabModule for CsvVTableModule {
type Table = CsvTable;
/// Declare the name for your virtual table
const NAME: &'static str = "csv_data";
/// Declare the type of vtable (TableValuedFunction or VirtualTable)
const VTAB_KIND: VTabKind = VTabKind::VirtualTable;
/// Declare your virtual table and its schema
fn create(args: &[Value]) -> Result<(String, Self::Table), ResultCode> {
let schema = "CREATE TABLE csv_data(
name TEXT,
age TEXT,
city TEXT
)".into();
Ok((schema, CsvTable {}))
}
}
struct CsvTable {}
impl VTable for CsvTable {
type Cursor = CsvCursor;
/// Define your error type. Must impl Display and match Cursor::Error
type Error = &'static str;
/// Open to return a new cursor: In this simple example, the CSV file is read completely into memory on connect.
fn open(&self, conn: Option<Rc<Connection>>) -> Result<Self::Cursor, Self::Error> {
// Read CSV file contents from "data.csv"
let csv_content = fs::read_to_string("data.csv").unwrap_or_default();
// For simplicity, we'll ignore the header row.
let rows: Vec<Vec<String>> = csv_content
.lines()
.skip(1)
.map(|line| {
line.split(',')
.map(|s| s.trim().to_string())
.collect()
})
.collect();
// store the connection for later use. Connection is Option to allow writing tests for your module
// but will be available to use by storing on your Cursor implementation
Ok(CsvCursor { rows, index: 0, connection: conn.unwrap() })
}
/// *Optional* methods for non-readonly tables
/// Update the value at rowid
fn update(&mut self, _rowid: i64, _args: &[Value]) -> Result<(), Self::Error> {
Ok(())
}
/// Insert the value(s)
fn insert(&mut self, _args: &[Value]) -> Result<i64, Self::Error> {
Ok(0)
}
/// Delete the value at rowid
fn delete(&mut self, _rowid: i64) -> Result<(), Self::Error> {
Ok(())
}
}
/// The cursor for iterating over CSV rows.
#[derive(Debug)]
struct CsvCursor {
rows: Vec<Vec<String>>,
index: usize,
connection: Rc<Connection>,
}
/// Implement the VTabCursor trait for your cursor type
impl VTabCursor for CsvCursor {
type Error = &'static str;
/// Filter through result columns. (not used in this simple example)
fn filter(&mut self, args: &[Value], _idx_info: Option<(&str, i32)>) -> ResultCode {
ResultCode::OK
}
/// Next advances the cursor to the next row.
fn next(&mut self) -> ResultCode {
if self.index < self.rows.len() - 1 {
self.index += 1;
ResultCode::OK
} else {
ResultCode::EOF
}
}
/// Return true if the cursor is at the end.
fn eof(&self) -> bool {
self.index >= self.rows.len()
}
/// Return the value for the column at the given index in the current row.
fn column(&self, idx: u32) -> Result<Value, Self::Error> {
let row = &self.rows[self.index];
if (idx as usize) < row.len() {
Ok(Value::from_text(&row[idx as usize]))
} else {
Ok(Value::null())
}
}
fn rowid(&self) -> i64 {
self.index as i64
}
}
You can use the Rc<Connection> to query the same underlying connection that creates the VTable:
let mut stmt = self.connection.prepare("SELECT col FROM table where name = ?;");
stmt.bind_at(NonZeroUsize::new(1).unwrap(), args[0]);
/// use the connection similarly to the API of the core library
while let StepResult::Row = stmt.step() {
let row = stmt.get_row();
if let Some(val) = row.first() {
// access values
println!("result: {:?}", val);
}
}
stmt.close();
if let Ok(Some(last_insert_rowid)) = conn.execute("INSERT INTO table (col, name) VALUES ('test', 'data')") {
println!("rowid of insert: {:?}", last_insert_rowid);
}
NOTE: Requires 'vfs' feature enabled.
use turso_ext::{ExtResult as Result, VfsDerive, VfsExtension, VfsFile};
/// Your struct must also impl Default
#[derive(VfsDerive, Default)]
struct ExampleFS;
struct ExampleFile {
file: std::fs::File,
}
impl VfsExtension for ExampleFS {
/// The name of your vfs module
const NAME: &'static str = "example";
type File = ExampleFile;
fn open(&self, path: &str, flags: i32, _direct: bool) -> Result<Self::File> {
let file = OpenOptions::new()
.read(true)
.write(true)
.create(flags & 1 != 0)
.open(path)
.map_err(|_| ResultCode::Error)?;
Ok(TestFile { file })
}
fn run_once(&self) -> Result<()> {
// (optional) method to cycle/advance IO, if your extension is asynchronous
Ok(())
}
fn close(&self, file: Self::File) -> Result<()> {
// (optional) method to close or drop the file
Ok(())
}
fn generate_random_number(&self) -> i64 {
// (optional) method to generate random number. Used for testing
let mut buf = [0u8; 8];
getrandom::fill(&mut buf).unwrap();
i64::from_ne_bytes(buf)
}
fn get_current_time(&self) -> String {
// (optional) method to generate random number. Used for testing
chrono::Local::now().format("%Y-%m-%d %H:%M:%S").to_string()
}
}
impl VfsFile for ExampleFile {
fn read(
&mut self,
buf: &mut [u8],
count: usize,
offset: i64,
) -> Result<i32> {
if file.file.seek(SeekFrom::Start(offset as u64)).is_err() {
return Err(ResultCode::Error);
}
file.file
.read(&mut buf[..count])
.map_err(|_| ResultCode::Error)
.map(|n| n as i32)
}
fn write(&mut self, buf: &[u8], count: usize, offset: i64) -> Result<i32> {
if self.file.seek(SeekFrom::Start(offset as u64)).is_err() {
return Err(ResultCode::Error);
}
self.file
.write(&buf[..count])
.map_err(|_| ResultCode::Error)
.map(|n| n as i32)
}
fn sync(&self) -> Result<()> {
self.file.sync_all().map_err(|_| ResultCode::Error)
}
fn lock(&self, _exclusive: bool) -> Result<()> {
// (optional) method to lock the file
Ok(())
}
fn unlock(&self) -> Result<()> {
// (optional) method to lock the file
Ok(())
}
fn size(&self) -> i64 {
self.file.metadata().map(|m| m.len() as i64).unwrap_or(-1)
}
}
Edit the workspace Cargo.toml to include your extension as a workspace dependency, e.g:
[workspace.dependencies]
turso_core = { path = "core", version = "0.0.17" }
limbo_crypto = { path = "extensions/crypto", version = "0.0.17" }
turso_ext = { path = "extensions/core", version = "0.0.17" }
limbo_macros = { path = "macros", version = "0.0.17" }
...
+limbo_csv = { path = "extensions/csv", version = "0.0.17" }
And add your extension as a feature in core/Cargo.toml:
[features]
default = ["fs", "json", "uuid", "time"]
fs = []
json = ["dep:jsonb", "dep:pest", "dep:pest_derive", "dep:serde", "dep:indexmap"]
uuid = ["limbo_uuid/static"]
...
+csv = ["limbo_csv/static"]
Lastly, you have to register your extension statically in the core crate:
pub fn register_builtins(&self) -> Result<(), String> {
#[allow(unused_variables)]
let ext_api = self.build_turso_ext();
#[cfg(feature = "uuid")]
if unsafe { !limbo_uuid::register_extension_static(&ext_api).is_ok() } {
return Err("Failed to register uuid extension".to_string());
}
+ #[cfg(feature = "csv")]
+ if unsafe { !limbo_csv::register_extension_static(&ext_api).is_ok() } {
+ return Err("Failed to register csv extension".to_string());
+ }
Ok(())
}