Jussi Saurio 7137f4ab3b Merge 'Feature: Composite Primary key constraint' from Pedro Muniz
Closes #1384 . This PR implements Primary Key constraint for inserts. As
can be seen in the issue, if you created an Index with a Primary Key
constraint, it could trigger `Unique Constraint` error, but still insert
the record. Sqlite uses the opcode `NoConflict` to check if the record
already exists in the Btree. As we did not have this Opcode yet, I
implemented it. It is very similar to `NotFound` with the difference
that if any value in the Record is Null, it will immediately jump to the
offset. The added benefit of implementing this, is that now we fully
support Composite Primary Keys. Also, I think with the current
implementation, it will be trivial to implement the Unique opcode for
Insert. To support Updates, I need to understand more of the plan
optimizer to and find where we are Making the Record and opening the
autoindex.
For testing, I have written a test generator to generate many different
tables that can have a varying numbers of Primary Keys.
```sql
limbo> CREATE TABLE users (id INT, username TEXT, PRIMARY KEY (id, username));
limbo> INSERT INTO users VALUES (1, 'alice');
limbo> explain INSERT INTO users VALUES (1, 'alice');
addr  opcode             p1    p2    p3    p4             p5  comment
----  -----------------  ----  ----  ----  -------------  --  -------
0     Init               0     16    0                    0   Start at 16
1     OpenWrite          0     2     0                    0
2     Integer            1     2     0                    0   r[2]=1
3     String8            0     3     0     alice          0   r[3]='alice'
4     OpenWrite          1     3     0                    0
5     NewRowId           0     1     0                    0
6     Copy               2     5     0                    0   r[5]=r[2]
7     Copy               3     6     0                    0   r[6]=r[3]
8     Copy               1     7     0                    0   r[7]=r[1]
9     MakeRecord         5     3     8                    0   r[8]=mkrec(r[5..7])
10    NoConflict         1     12    5     2              0   key=r[5]
11    Halt               1555  0     0     users.id, users.username  0
12    IdxInsert          1     8     5                    0   key=r[8]
13    MakeRecord         2     2     4                    0   r[4]=mkrec(r[2..3])
14    Insert             0     4     1                    0
15    Halt               0     0     0                    0
16    Transaction        0     1     0                    0   write=true
17    Goto               0     1     0                    0
limbo> INSERT INTO users VALUES (1, 'alice');
  × Runtime error: UNIQUE constraint failed: users.id, users.username (19)
limbo> INSERT INTO users VALUES (1, 'bob');
limbo> INSERT INTO users VALUES (1, 'bob');
  × Runtime error: UNIQUE constraint failed: users.id, users.username (19)
```

Reviewed-by: Jussi Saurio <jussi.saurio@gmail.com>

Closes #1393
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Limbo

Project Limbo

Limbo is a project to build the modern evolution of SQLite.

PyPI PyPI PyPI

Chat with developers on Discord


Features and Roadmap

Limbo is a work-in-progress, in-process OLTP database engine library written in Rust that has:

  • Asynchronous I/O support on Linux with io_uring
  • SQLite compatibility [doc] for SQL dialect, file formats, and the C API
  • Language bindings for JavaScript/WebAssembly, Rust, Go, Python, and Java
  • OS support for Linux, macOS, and Windows

In the future, we will be also working on:

  • Integrated vector search for embeddings and vector similarity.
  • BEGIN CONCURRENT for improved write throughput.
  • Improved schema management including better ALTER support and strict column types by default.

Getting Started

💻 Command Line
You can install the latest `limbo` release with:
curl --proto '=https' --tlsv1.2 -LsSf \
  https://github.com/tursodatabase/limbo/releases/latest/download/limbo_cli-installer.sh | sh

Then launch the shell to execute SQL statements:

Limbo
Enter ".help" for usage hints.
Connected to a transient in-memory database.
Use ".open FILENAME" to reopen on a persistent database
limbo> CREATE TABLE users (id INT PRIMARY KEY, username TEXT);
limbo> INSERT INTO users VALUES (1, 'alice');
limbo> INSERT INTO users VALUES (2, 'bob');
limbo> SELECT * FROM users;
1|alice
2|bob

You can also build and run the latest development version with:

cargo run
🦀 Rust
cargo add limbo

Example usage:

let db = Builder::new_local("sqlite.db").build().await?;
let conn = db.connect()?;

let res = conn.query("SELECT * FROM users", ()).await?;
JavaScript
npm i limbo-wasm

Example usage:

import { Database } from 'limbo-wasm';

const db = new Database('sqlite.db');
const stmt = db.prepare('SELECT * FROM users');
const users = stmt.all();
console.log(users);
🐍 Python
pip install pylimbo

Example usage:

import limbo

con = limbo.connect("sqlite.db")
cur = con.cursor()
res = cur.execute("SELECT * FROM users")
print(res.fetchone())
🐹 Go
  1. Clone the repository
  2. Build the library and set your LD_LIBRARY_PATH to include limbo's target directory
cargo build --package limbo-go
export LD_LIBRARY_PATH=/path/to/limbo/target/debug:$LD_LIBRARY_PATH
  1. Use the driver
go get github.com/tursodatabase/limbo
go install github.com/tursodatabase/limbo

Example usage:

import (
    "database/sql"
    _"github.com/tursodatabase/limbo"
)

conn, _ = sql.Open("sqlite3", "sqlite.db")
defer conn.Close()

stmt, _ := conn.Prepare("select * from users")
defer stmt.Close()

rows, _ = stmt.Query()
for rows.Next() {
    var id int
    var username string
    _ := rows.Scan(&id, &username)
    fmt.Printf("User: ID: %d, Username: %s\n", id, username)
}
Java

We integrated Limbo into JDBC. For detailed instructions on how to use Limbo with java, please refer to the README.md under bindings/java.

Contributing

We'd love to have you contribute to Limbo! Please check out the contribution guide to get started.

FAQ

How is Limbo different from Turso's libSQL?

Limbo is a project to build the modern evolution of SQLite in Rust, with a strong open contribution focus and features like native async support, vector search, and more. The libSQL project is also an attempt to evolve SQLite in a similar direction, but through a fork rather than a rewrite.

Rewriting SQLite in Rust started as an unassuming experiment, and due to its incredible success, replaces libSQL as our intended direction. At this point, libSQL is production ready, Limbo is not - although it is evolving rapidly. As the project starts to near production readiness, we plan to rename it to just "Turso". More details here.

Publications

  • Pekka Enberg, Sasu Tarkoma, Jon Crowcroft Ashwin Rao (2024). Serverless Runtime / Database Co-Design With Asynchronous I/O. In EdgeSys 24. [PDF]
  • Pekka Enberg, Sasu Tarkoma, and Ashwin Rao (2023). Towards Database and Serverless Runtime Co-Design. In CoNEXT-SW 23. [PDF] [Slides]

License

This project is licensed under the MIT license.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in Limbo by you, shall be licensed as MIT, without any additional terms or conditions.

Contributors

Thanks to all the contributors to Limbo!

Description
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