toyDB

Distributed SQL database in Rust, written as a learning project. Most components are built from scratch, including:

Raft-based distributed consensus engine for linearizable state machine replication.
ACID-compliant transaction engine with MVCC-based snapshot isolation.
Pluggable storage engine with BitCask and in-memory backends.
Iterator-based query engine with heuristic optimization and time-travel support.
SQL interface including projections, filters, joins, aggregates, and transactions.

toyDB is not suitable for real-world use, but may be of interest to others learning about database internals.

Documentation

Architecture guide: a guide to toyDB's architecture and implementation.
SQL examples: comprehensive examples of toyDB's SQL features.
SQL reference: detailed reference documentation for toyDB's SQL dialect.
References: books and other research material used while building toyDB.

Usage

With a Rust compiler installed, a local five-node cluster can be started on localhost ports 9601 to 9605, with data under cluster/*/data:

$ ./cluster/run.sh

A command-line client can be built and used with node 5 on localhost:9605:

$ cargo run --release --bin toysql
Connected to toyDB node "toydb-e". Enter !help for instructions.
toydb> CREATE TABLE movies (id INTEGER PRIMARY KEY, title VARCHAR NOT NULL);
toydb> INSERT INTO movies VALUES (1, 'Sicario'), (2, 'Stalker'), (3, 'Her');
toydb> SELECT * FROM movies;
1|Sicario
2|Stalker
3|Her

toyDB supports most common SQL features, including joins, aggregates, and ACID transactions.

Architecture

toyDB's architecture is fairly typical for distributed SQL databases: a transactional key/value store managed by a Raft cluster with a SQL query engine on top. See the architecture guide for more details.

Tests

toyDB has decent test coverage, with about a thousand tests of core functionality. These consist of in-code unit-tests for many low-level components, golden master integration tests of the SQL engine under tests/sql, and a basic set of end-to-end cluster tests under tests/. Jepsen tests, or similar system-wide correctness and reliability tests, are desirable but not yet implemented.

Execute cargo test to run all tests, or check out the latest CI run.

Benchmarks

toyDB is not optimized for performance, but it comes with a workload benchmarking tool that can run various workloads against a toyDB cluster. For example:

# Start a 5-node toyDB cluster.
$ ./cluster/run.sh
[...]

# Run a read-only benchmark via all 5 nodes.
$ cargo run --release --bin workload read
Preparing initial dataset... done (0.096s)
Spawning 16 workers... done (0.003s)
Running workload read (rows=1000 size=64 batch=1)...

Time   Progress     Txns      Rate       p50       p90       p99      pMax
1.0s       7.2%     7186    7181/s     2.3ms     3.1ms     4.0ms     9.6ms
2.0s      14.4%    14416    7205/s     2.3ms     3.1ms     4.2ms     9.6ms
3.0s      22.5%    22518    7504/s     2.2ms     2.9ms     4.0ms     9.6ms
4.0s      30.3%    30303    7574/s     2.2ms     2.9ms     3.8ms     9.6ms
5.0s      38.2%    38200    7639/s     2.2ms     2.8ms     3.7ms     9.6ms
6.0s      46.0%    45961    7659/s     2.2ms     2.8ms     3.7ms     9.6ms
7.0s      53.3%    53343    7620/s     2.2ms     2.8ms     3.7ms     9.6ms
8.0s      61.2%    61220    7651/s     2.2ms     2.8ms     3.6ms     9.6ms
9.0s      68.2%    68194    7576/s     2.2ms     2.8ms     3.7ms     9.6ms
10.0s     75.8%    75800    7579/s     2.2ms     2.8ms     3.7ms     9.6ms
11.0s     82.9%    82864    7533/s     2.2ms     2.9ms     3.7ms    18.2ms
12.0s     90.6%    90583    7548/s     2.2ms     2.9ms     3.7ms    18.2ms
13.0s     98.3%    98311    7562/s     2.2ms     2.9ms     3.7ms    18.2ms
13.2s    100.0%   100000    7569/s     2.2ms     2.9ms     3.7ms    18.2ms

Verifying dataset... done (0.001s)

The available workloads are:

read: single-row primary key lookups.
write: single-row inserts to sequential primary keys.
bank: makes bank transfers between various customers and accounts. To make things interesting, this includes joins, secondary indexes, sorting, and conflicts.

For more information about workloads and parameters, run cargo run --bin workload -- --help.

Example workload results:

Workload   Time       Txns      Rate       p50       p90       p99      pMax
read       13.2s    100000    7569/s     2.2ms     2.9ms     3.7ms    18.2ms
write      22.2s    100000    4502/s     3.9ms     4.5ms     4.9ms    15.7ms
bank       155.0s   100000     645/s    16.9ms    41.7ms    95.0ms  1044.4ms

Debugging

VSCode provides a very intuitive environment for debugging toyDB. The debug configuration is included under .vscode/launch.json. Follow these steps to set it up:

Install the CodeLLDB extension.
Go to "Run and Debug" tab and select e.g. "Debug unit tests in library 'toydb'".
To debug the binary, select "Debug executable 'toydb'" under "Run and Debug".

Credits

toyDB logo is courtesy of @jonasmerlin.

stormasm / toydb