Velr

Velr is an embedded property-graph database from Velr.ai, written in Rust, built on top of SQLite3 (persisting to a standard SQLite database file) and queried using the openCypher language.

This crate provides the Rust binding for Velr. It links against a bundled native runtime with a C ABI, implemented in Rust.

For the main Velr public entry point, see velr-ai/velr.
For the Velr website, see velr.ai.

Community

Community and questions: GitHub Discussions
Bug reports and feature requests: GitHub Issues
Rust examples: velr-rust-examples

We’d love to have you join the Velr community.

Release status

This release is alpha.

The API and query support are still evolving.
openCypher coverage is already substantial, but some features are still missing.

Velr is already usable for real workflows and representative use cases, but rough edges remain and the API is not yet stable.

Velr 1.0 is focused on strong openCypher compatibility.
Vector search, time-series, and federation are planned as post-1.0 capabilities.

Installation

Add to Cargo.toml:

[dependencies]
velr = "0.2"

Enable Arrow IPC support (binding Arrow arrays + exporting result tables as Arrow IPC):

[dependencies]
velr = { version = "0.2", features = ["arrow-ipc"] }

Quick start

use velr::{Velr, CellRef};

fn main() -> velr::Result<()> {
    // Open in-memory DB (pass Some("path.db") for file-backed)
    let db = Velr::open(None)?;

    db.run("CREATE (:Person {name:'Keanu Reeves', born:1964})")?;

    let mut t = db.exec_one("MATCH (p:Person) RETURN p.name AS name, p.born AS born")?;

    println!("{:?}", t.column_names());

    t.for_each_row(|row| {
        match row[0] {
            CellRef::Text(bytes) => println!("name={}", std::str::from_utf8(bytes).unwrap()),
            _ => {}
        }
        match row[1] {
            CellRef::Integer(i) => println!("born={i}"),
            _ => {}
        }
        Ok(())
    })?;

    Ok(())
}

Query language support

Velr supports most of openCypher, but some features are not yet implemented.

Notable missing features:

REMOVE clause
Query parameters (for example $name)
The query planner does not yet use indexes in all cases where expected.

Streaming multiple result tables

A single exec() can yield multiple result tables (e.g. multiple statements):

let db = Velr::open(None)?;
let mut stream = db.exec(
    "MATCH (m:Movie {title:'The Matrix'}) RETURN m.title AS title;
     MATCH (m:Movie {title:'Inception'})  RETURN m.released AS year"
)?;

while let Some(mut table) = stream.next_table()? {
    println!("{:?}", table.column_names());
    table.for_each_row(|row| {
        println!("{row:?}");
        Ok(())
    })?;
}

Transactions and savepoints

Velr supports transactions together with two kinds of savepoints:

Scoped savepoints via savepoint(), which return a guard
Named savepoints via savepoint_named(name), which remain active in the transaction until released or the transaction ends

Calling rollback_to(name) rolls back to the named savepoint, discards any newer named savepoints, and keeps the target savepoint active.

Scoped savepoint

let db = Velr::open(None)?;

let tx = db.begin_tx()?;
tx.run("CREATE (:Temp {k:'outer'})")?;

{
    let sp = tx.savepoint()?;
    tx.run("CREATE (:Temp {k:'inner'})")?;
    sp.rollback()?; // rollback to the scoped savepoint
}

tx.commit()?;

Named savepoints

let db = Velr::open(None)?;

let tx = db.begin_tx()?;

tx.savepoint_named("before_write1")?;
tx.run("CREATE (:Temp {k:'a'})")?;

tx.savepoint_named("before_write2")?;
tx.run("CREATE (:Temp {k:'b'})")?;

tx.rollback_to("before_write1")?;
tx.run("CREATE (:Temp {k:'c'})")?;

tx.release_savepoint("before_write1")?;
tx.commit()?;

release_savepoint(name) currently releases the most recent active named savepoint.

Dropping an active transaction without commit() will roll it back automatically.

Explain plans

Velr can produce an explain trace for a query, which is useful when you want to inspect how a openCypher query is planned and translated internally.

Use Velr::explain to build a trace without executing the query:

use velr::Velr;

fn main() -> velr::Result<()> {
    let db = Velr::open(None)?;

    let trace = db.explain("MATCH (n) RETURN n")?;

    println!("plans: {}", trace.plan_count()?);
    println!("{}", trace.to_compact_string()?);

    Ok(())
}

The returned ExplainTrace can be inspected programmatically or rendered as a compact string for logging, debugging, tests, or documentation.

Arrow IPC (optional)

With features = ["arrow-ipc"] you can:

Bind Arrow arrays as a logical table (bind_arrow, bind_arrow_chunks)
Export a result table as an Arrow IPC file (to_arrow_ipc_file())

#[cfg(feature = "arrow-ipc")]
fn arrow_example() -> velr::Result<()> {
    use arrow2::array::{Array, Utf8Array};

    let db = Velr::open(None)?;

    let cols = vec!["name".to_string()];
    let arrays: Vec<Box<dyn Array>> = vec![
        Utf8Array::<i64>::from(vec![Some("Alice"), Some("Bob")]).boxed(),
    ];

    db.bind_arrow("_people", cols, arrays)?;
    db.run("UNWIND BIND('_people') AS r CREATE (:Person {name:r.name})")?;

    let mut t = db.exec_one("MATCH (p:Person) RETURN p.name AS name ORDER BY name")?;
    let ipc = t.to_arrow_ipc_file()?;

    println!("IPC bytes: {}", ipc.len());
    Ok(())
}

Supported functions

Velr currently supports these openCypher functions:

Scalars

id()
type()
length()
nodes()
relationships()
coalesce()
labels()
properties()
keys()

Aggregates

count()
sum()
avg()
min()
max()
collect()

Platform support

This crate links against a bundled native runtime.

Currently bundled targets:

* macOS universal (arm64 + x86_64)
* Linux x86_64
* Linux aarch64
* Windows x86_64

Licensing

The Rust binding source code in this package is licensed under MIT.
The bundled native runtime binaries may be used and freely redistributed in unmodified form under the terms of LICENSE.runtime.

See LICENSE and LICENSE.runtime for the full license texts.

velr 0.2.1