A Rust toolkit for SQL on FHIR v2:
parse ViewDefinition resources and turn FHIR data into flat tables — with no
database required, or by generating PostgreSQL.
Documentation: https://octofhir.github.io/sof
- Two interchangeable execution paths, both passing the full official
content-test suite (144/144):
- a database-free in-memory evaluator over
serde_json, and - a PostgreSQL generator that lowers FHIRPath to SQL over JSONB.
- a database-free in-memory evaluator over
- Writers: CSV, NDJSON, JSON, and Parquet (feature-gated).
- Offline lint & validation of ViewDefinitions (FH01–FH10) with rustc-style diagnostics, plus JSON and SARIF output for CI.
- Full support for the v2.1 additions: the
repeatdirective and the%rowIndexenvironment variable, on both paths.
# Prebuilt binary (detects your platform, verifies SHA-256):
curl -fsSL https://raw.githubusercontent.com/octofhir/sof/main/install.sh | sh
# From crates.io:
cargo install octofhir-sof-cli
# …or from a clone of this repo:
cargo install --path crates/octofhir-sof-cli
# …or build and run in place:
cargo build --release
./target/release/octofhir-sof --helpPrebuilt binaries for macOS, Linux and Windows are attached to each GitHub release.
# Run a view over FHIR files, no database — CSV to stdout
octofhir-sof run view.json --input patients.ndjson
# Stream a large NDJSON export with bounded memory (NDJSON in, NDJSON out)
cat export/*.ndjson | octofhir-sof run view.json --input - --output ndjson
# Run every view in a directory in one pass, one output file per view
octofhir-sof run views/ --input data/ --output csv --out out/
# Generate SQL for the view (PostgreSQL JSONB by default, or DuckDB JSON)
octofhir-sof generate view.json
octofhir-sof generate view.json --dialect duckdb
# Generate a CREATE TABLE for the view's columns (ansi | postgres | duckdb)
octofhir-sof generate view.json --ddl --dialect postgres
# Run against PostgreSQL instead of files
octofhir-sof run view.json --db postgres://localhost/fhir --output csv
# Validate a ViewDefinition offline (no FHIR package needed)
octofhir-sof validate view.json
octofhir-sof validate view.json --sarif > results.sarif
# Lint selectors and generated SQL against a FHIR package (any version)
octofhir-sof lint view.json --package hl7.fhir.r4.core
octofhir-sof lint view.json --package hl7.fhir.r5.core --version 5.0.0
# Check a view against the portable ShareableViewDefinition FHIRPath subset
# (offline, no package). --allow-fn exempts a registered custom function.
octofhir-sof lint view.json --shareable
# Run the official content-test format in memory
octofhir-sof test tests/Exit codes: 0 on success, 1 on validation errors, lint errors, test
failures, or I/O errors.
use octofhir_sof::{ViewDefinition, execute, SqlGenerator};
let view = ViewDefinition::parse(&json_text)?;
// In-memory:
let result = execute(&view, &resources)?;
// Or generate SQL:
let sql = SqlGenerator::new().generate(&view)?.sql;For bounded-memory streaming, compile once and run resource-at-a-time:
use octofhir_sof::CompiledView;
let compiled = CompiledView::compile(&view)?;
for resource in resources {
for row in compiled.execute_resource(&resource)? {
// row is the column values in column order
}
}generate emits a PostgreSQL JSONB query by default and a DuckDB JSON query
with --dialect duckdb; both come from one dialect-parametrized generator and
pass the full content-test suite (DuckDB verified through the duckdb CLI). The
in-memory engine (run --input, execute) needs no database at all.
Execution is version-agnostic: the engine navigates the resource JSON and is
not coupled to any StructureDefinition, so the same view runs unchanged over R4,
R4B, R5 or R6 resources (the suite includes an R5 CodeableReference case). The
schema-driven lint (lint --package) accepts any package the canonical manager
can resolve — pass the package name and --version, e.g. hl7.fhir.r4.core,
hl7.fhir.r4b.core, hl7.fhir.r5.core, or an R6 build — there is no hard-coded
version.
The official reference tests from
FHIR/sql-on-fhir.js are vendored under
crates/octofhir-sof/tests/spec/ (refresh with just update-spec-tests). Both
execution paths pass the full v2.1 suite (144/144). Run them:
just conformance # in-memory (no database)
just conformance-pg # against PostgreSQL (needs Docker)
just conformance-duckdb # against DuckDB (needs the `duckdb` CLI)
just conformance-report # emit a result file for the sql-on-fhir.org registrySee CONFORMANCE.md for the result-file format and how to submit our entry to the implementation registry.
MIT OR Apache-2.0.