partiql/partiql-lang-rust
partiql/partiql-lang-rust has 77 GitHub stars and 14 forks. Star changes are not measured yet. Last checked 2026-11-10 01:09 UTC. Last push 2026-11-05.
PartiQL libraries and tools in Rust.
Measured star growth
- in 24h
- Collecting history
- in 7 days
- Collecting history
- in 15 days
- Collecting history
- in 1 month
- Collecting history
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalPartiQL Rust
This is a collection of crates to provide Rust support for the PartiQL query language.
The crates in this repository are considered experimental, under active/early development, and APIs are subject to change.
This project uses workspaces to manage the crates in this repository. The partiql crate is intended
to be the crate that exports all the relevant partiql-* sub-crate functionality. It is factored in this way
to make applications needing only some sub-component of the PartiQL implementation possible (e.g. an application
that only requires the PartiQL parser can depend on partiql-parser directly).
Development
Public enums are marked #[non_exhaustive] so that new variants can be added without
requiring every consumer to update its matches. Matches in other crates, including
other crates in this workspace, must handle unrecognized variants with a catch-all
arm. Choose fallback behavior appropriate to the operation, such as returning an
unsupported-operation error.
This project uses a git submodule to pull in partiql-tests. The easiest way to pull everything in is to clone the repository recursively:
$ git clone --recursive https://github.com/partiql/partiql-lang-rust.git
You can also initialize the submodules as follows:
$ git submodule update --init --recursive
Local CI Checks
To run the same checks that GitHub Actions CI runs locally, you can use the provided Makefile:
# Run all core CI checks (build, test, format, clippy, security)
make ci-check
# Or run individual checks
make build # Build the workspace
make test # Run tests
make fmt # Check code formatting
make clippy # Run clippy lints
make deny # Run cargo-deny security/license checks
make conformance # Run conformance tests (slower)
make coverage # Generate code coverage report
make help # Show all available targets
The ci-check target runs the essential checks that must pass for CI, equivalent to:
cargo build --workspace && cargo test --workspace && cargo fmt --all -- --check && cargo clippy --all-features --workspace -- -D warnings && cargo deny check advisories && cargo deny check bans licenses sources
Note: The deny target requires cargo-deny to be installed:
cargo install cargo-deny
Running the conformance tests
Running cargo test from the partiql-lang-rust root will not run the conformance tests by default.
To run all the tests (including conformance tests), you will need to run cargo test with the "conformance_test" --features flag:
cargo test --features "conformance_test"
Or to run just the conformance tests:
cargo test --package partiql-conformance-tests --features "conformance_test"
More details on running individual tests can be found in the partiql-conformance-tests crate README.
Security
See CONTRIBUTING for more information.
License
This project is licensed under the Apache-2.0 License.
Explore related projects
Asabeneh/30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,486 starsgrafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
77,790 starsredis/redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
77,332 starsapache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
75,455 stars