OxiRS

June 6, 2026 · View on GitHub

A Rust-native, modular platform for Semantic Web, SPARQL 1.2, GraphQL, and AI-augmented reasoning

License: Apache-2.0 Version

Status: v0.3.1 - Released - 2026-06-06

Production Ready: Complete SPARQL 1.1/1.2 implementation with 3.8x faster optimizer, industrial IoT support, and AI-powered features. ~43,500 tests passing with zero warnings across all 26 crates.

v0.3.1 Highlights (2026-06-06): SHACL Advanced Features (recursive + qualified value shapes + a rule-based reasoning engine), genetic constraint-order optimization, RDF-star quoted triples in pattern matching and query execution, GraphSAGE inductive embeddings, graph summarizer and relevance feedback, FIPS 140-2 feature gates (oxirs-fuseki, oxirs-did), and RBAC policy templates. Completes the COOLJAPAN Pure-Rust migration (brotli/snap/flate2 → oxiarc, ring → oxicrypto, pure-Rust TLS via oxitls): the default cargo build now links zero ring/aws-lc-sys C/asm crypto. SciRS2 0.5.0; oxiarc 0.3.3 consumed directly from crates.io.

Vision

OxiRS aims to be a Rust-first, JVM-free alternative to Apache Jena + Fuseki and to Juniper, providing:

  • Protocol choice, not lock-in: Expose both SPARQL 1.2 and GraphQL endpoints from the same dataset
  • Incremental adoption: Each crate works stand-alone; opt into advanced features via Cargo features
  • AI readiness: Native integration with vector search, graph embeddings, and LLM-augmented querying
  • Single static binary: Match or exceed Jena/Fuseki feature-for-feature while keeping a <50MB footprint

Quick Start

Installation

# Install the CLI tool
cargo install oxirs

# Or build from source
git clone https://github.com/cool-japan/oxirs.git
cd oxirs
cargo build --workspace --release

What's New in v0.3.1 (2026-06-06)

Maintenance & Hardening Release: SHACL-AF, Pure-Rust Migration, and Inductive Embeddings

OxiRS v0.3.1 completes SHACL Advanced Features, finishes the COOLJAPAN Pure-Rust migration, and adds new AI and security capabilities:

  • SHACL Advanced Features (SHACL-AF) - Recursive shapes, qualified value shapes, and a rule-based reasoning engine (RDFS / OWL 2 RL entailment)
  • SHACL constraint-order optimization - Genetic algorithm (configurable population/generations/tournament/mutation) for shape constraint ordering (oxirs-shacl-ai)
  • RDF-star in query execution - Quoted triples now flow through pattern matching, query algebra, executor, JIT, planner, and SIMD triple matching
  • GraphSAGE inductive embeddings - k-hop mean aggregation (ReLU + L2-norm), Xavier init, margin ranking loss, and unseen-entity support (oxirs-embed)
  • Graph summarizer & relevance feedback - Leiden community detection → centrality → predicate-frequency natural-language summaries, plus multiplicative relevance-feedback re-ranking (oxirs-graphrag)
  • FIPS 140-2 feature gates - fips feature for FIPS-validated cryptography in oxirs-fuseki and oxirs-did (RFC-003 FIPS boundary policy)
  • RBAC policy templates - Built-in DBA / ReadOnly / Auditor role templates via PolicyTemplateRegistry (oxirs-fuseki)
  • Pure-Rust migration complete - Compression (brotli/snap/flate2 → oxiarc), crypto (ring → oxicrypto), and TLS (pure-Rust oxitls provider); the default cargo build links zero ring / aws-lc-sys C/asm crypto
  • Dependency refresh - SciRS2 0.5.0; oxiarc 0.3.3 now consumed directly from crates.io; large-file refactors keep every source file under 2,000 lines

Quality Metrics (v0.3.1):

  • ~43,500 tests passing (100% pass rate)
  • Zero compilation warnings across all 26 crates
  • Pure Rust by default - zero ring / aws-lc-sys in the default-feature build
  • All .rs files under 2,000 lines (proactive refactors applied)

What's New in v0.3.0 (May 3, 2026)

Major Feature Release: 26 New Modules Across 16 Development Rounds

OxiRS v0.3.0 significantly expands the platform with deep SPARQL algebra, production storage, AI capabilities, and security hardening:

Core Capabilities:

  • Complete SPARQL 1.1/1.2 - Full W3C compliance with advanced query optimization
  • 3.8x Faster Optimizer - Adaptive complexity detection for optimal performance
  • Advanced SPARQL Algebra - EXISTS/MINUS evaluators, subquery builder, service clause, LATERAL join
  • Industrial IoT - Time-series, Modbus, CANbus/J1939 integration
  • AI-Powered - GraphRAG, vector store, constraint inference, conversation history, thermodynamics
  • Production Security - ReBAC, OAuth2/OIDC, DID & Verifiable Credentials, trust chain validation
  • Storage Hardening - Six-index store, index merger/rebuilder, triple cache, shard router
  • Complete Observability - Prometheus metrics, OpenTelemetry tracing
  • Cloud Native - Kubernetes operator, Terraform modules, Docker support

Quality Metrics (v0.3.0):

  • 40,786 tests passing (100% pass rate, ~115 skipped)
  • Zero compilation warnings across all 26 crates
  • 95%+ test coverage and documentation coverage
  • Production validated in industrial deployments
  • 26 new functional modules added across 16 development rounds
  • Production unwrap() audit: all 18,554 unwrap() calls confirmed in test blocks (zero production violations)
  • Security advisories reviewed: RUSTSEC-2026-0002 (lru via tantivy) documented as not exploitable

Usage

# Initialize a new knowledge graph (alphanumeric, _, - only)
oxirs init mykg

# Import RDF data (automatically persisted to mykg/data.nq)
oxirs import mykg data.ttl --format turtle

# Query the data (loaded automatically from disk)
oxirs query mykg "SELECT * WHERE { ?s ?p ?o } LIMIT 10"

# Query with specific patterns
oxirs query mykg "SELECT ?name WHERE { ?person <http://xmlns.com/foaf/0.1/name> ?name }"

# Start the server
oxirs serve mykg/oxirs.toml --port 3030

Features:

  • Persistent storage: Data automatically saved to disk in N-Quads format
  • SPARQL queries: SELECT, ASK, CONSTRUCT, DESCRIBE supported
  • Auto-load: No manual save/load needed
  • 🚧 PREFIX support: Coming in next release

Open:

Published Crates

All crates are published to crates.io and documented on docs.rs.

Core

CrateVersionDocsDescription
oxirs-coreCrates.iodocs.rsCore RDF and SPARQL functionality

Server

CrateVersionDocsDescription
oxirs-fusekiCrates.iodocs.rsSPARQL 1.1/1.2 HTTP server
oxirs-gqlCrates.iodocs.rsGraphQL endpoint for RDF

Engine

CrateVersionDocsDescription
oxirs-arqCrates.iodocs.rsSPARQL query engine
oxirs-ruleCrates.iodocs.rsRule-based reasoning
oxirs-shaclCrates.iodocs.rsSHACL validation
oxirs-sammCrates.iodocs.rsSAMM metamodel & AAS
oxirs-geosparqlCrates.iodocs.rsGeoSPARQL support
oxirs-starCrates.iodocs.rsRDF-star support
oxirs-ttlCrates.iodocs.rsTurtle parser
oxirs-vecCrates.iodocs.rsVector search

Storage

CrateVersionDocsDescription
oxirs-tdbCrates.iodocs.rsTDB2-compatible storage
oxirs-clusterCrates.iodocs.rsDistributed clustering

Stream

CrateVersionDocsDescription
oxirs-streamCrates.iodocs.rsReal-time streaming
oxirs-federateCrates.iodocs.rsFederated queries

AI

CrateVersionDocsDescription
oxirs-embedCrates.iodocs.rsKnowledge graph embeddings & vector store
oxirs-shacl-aiCrates.iodocs.rsAI-powered SHACL constraint inference
oxirs-chatCrates.iodocs.rsRAG chat API with conversation history
oxirs-physicsCrates.iodocs.rsPhysics-informed digital twin reasoning
oxirs-graphragCrates.iodocs.rsGraphRAG hybrid search (Vector x Graph)

Security

CrateVersionDocsDescription
oxirs-didCrates.iodocs.rsDID & Verifiable Credentials

Platforms

CrateVersionDocsDescription
oxirs-wasmCrates.iodocs.rsWASM browser/edge deployment

Tools

CrateVersionDocsDescription
oxirs (CLI)Crates.iodocs.rsCLI tool

Architecture

oxirs/                  # Cargo workspace root
├─ core/                # Thin, safe re-export of oxigraph
│  └─ oxirs-core
├─ server/              # Network front ends
│  ├─ oxirs-fuseki      # SPARQL 1.1/1.2 HTTP protocol, Fuseki-compatible config
│  └─ oxirs-gql         # GraphQL façade (Juniper + mapping layer)
├─ engine/              # Query, update, reasoning
│  ├─ oxirs-arq         # Jena-style algebra + extension points
│  ├─ oxirs-rule        # Forward/backward rule engine (RDFS/OWL/SWRL)
│  ├─ oxirs-samm        # SAMM metamodel + AAS integration (Industry 4.0)
│  ├─ oxirs-geosparql   # GeoSPARQL spatial queries and topological relations
│  ├─ oxirs-shacl       # SHACL Core + SHACL-SPARQL validator
│  ├─ oxirs-star        # RDF-star / SPARQL-star grammar support
│  ├─ oxirs-ttl         # Turtle/TriG parser and serializer
│  └─ oxirs-vec         # Vector index abstractions (SciRS2, native HNSW)
├─ storage/
│  ├─ oxirs-tdb         # MVCC layer & assembler grammar (TDB2 parity)
│  └─ oxirs-cluster     # Raft-backed distributed dataset
├─ stream/              # Real-time and federation
│  ├─ oxirs-stream      # Kafka/NATS I/O, RDF Patch, SPARQL Update delta
│  └─ oxirs-federate    # SERVICE planner, GraphQL stitching
├─ ai/
│  ├─ oxirs-embed       # KG embeddings (TransE, ComplEx…)
│  ├─ oxirs-shacl-ai    # Shape induction & data repair suggestions
│  ├─ oxirs-chat        # RAG chat API (LLM + SPARQL)
│  ├─ oxirs-physics     # Physics-informed digital twins
│  └─ oxirs-graphrag    # GraphRAG hybrid search (Vector × Graph)
├─ security/
│  └─ oxirs-did         # W3C DID & Verifiable Credentials
├─ platforms/
│  └─ oxirs-wasm        # WebAssembly browser/edge deployment
└─ tools/
    ├─ oxirs             # CLI (import, export, star-migrate, bench)
    └─ benchmarks/       # SP2Bench, WatDiv, LDBC SGS

Feature Matrix (v0.3.1)

CapabilityOxirs crate(s)StatusJena / Fuseki parity
Core RDF & SPARQL
RDF 1.2 & syntaxes (7 formats)oxirs-core✅ Stable (2332 tests)
SPARQL 1.1 Query & Updateoxirs-fuseki + oxirs-arq✅ Stable (2144 + 2688 tests)
SPARQL 1.2 / SPARQL-staroxirs-arq (star flag)✅ Stable🔸
Advanced SPARQL Algebra (EXISTS/MINUS/subquery)oxirs-arq✅ Stable
Persistent storage (N-Quads)oxirs-core✅ Stable
Semantic Web Extensions
RDF-star parse/serialiseoxirs-star✅ Stable (1628 tests)🔸 (Jena dev build)
SHACL Core+API (W3C compliant)oxirs-shacl✅ Stable (2008 tests, 27/27 W3C)
Rule reasoning (RDFS/OWL 2 DL)oxirs-rule✅ Stable (2072 tests)
SAMM 2.0-2.3 & AAS (Industry 4.0)oxirs-samm✅ Stable (1409 tests, 16 generators)
Query & Federation
GraphQL APIoxirs-gql✅ Stable (2081 tests)
SPARQL Federation (SERVICE)oxirs-federate✅ Stable (1397 tests, 2PC)
Federated authenticationoxirs-federate✅ Stable (OAuth2/SAML/JWT)🔸
Real-time & Streaming
Stream processing (Kafka/NATS)oxirs-stream✅ Stable (1505 tests, SIMD)🔸 (Jena + external)
RDF Patch & SPARQL Update deltaoxirs-stream✅ Stable🔸
Search & Geo
Full-text search (text:)oxirs-textsearch⏳ Planned
GeoSPARQL (OGC 1.1)oxirs-geosparql (geo)✅ Stable (1713 tests)
Vector search / embeddingsoxirs-vec (1598 tests), oxirs-embed (1345 tests)✅ Stable
Storage & Distribution
TDB2-compatible storage (six-index)oxirs-tdb✅ Stable (2005 tests)
Distributed / HA store (Raft)oxirs-cluster (cluster)✅ Stable (1489 tests)🔸 (Jena + external)
Time-series databaseoxirs-tsdb✅ Stable (1127 tests)
AI & Advanced Features
RAG chat API (LLM integration)oxirs-chat✅ Stable (1195 tests)
AI-powered SHACL constraint inferenceoxirs-shacl-ai✅ Stable (1589 tests)
GraphRAG hybrid search (Vector x Graph)oxirs-graphrag✅ Stable (935 tests)
Physics-informed digital twinsoxirs-physics✅ Stable (1063 tests)
Knowledge graph embeddings (TransE, etc.)oxirs-embed✅ Stable (1345 tests)
Security & Trust
W3C DID & Verifiable Credentialsoxirs-did✅ Stable (1043 tests)
Trust chain validationoxirs-did✅ Stable
Signed RDF graphs (RDFC-1.0)oxirs-did✅ Stable
Ed25519 cryptographic proofsoxirs-did✅ Stable
Security & Authorization
ReBAC (Relationship-Based Access Control)oxirs-fuseki✅ Stable
Graph-level authorizationoxirs-fuseki✅ Stable
SPARQL-based authorization storageoxirs-fuseki✅ Stable
OAuth2/OIDC/SAML authenticationoxirs-fuseki✅ Stable🔸
Browser & Edge Deployment
WebAssembly (WASM) bindingsoxirs-wasm✅ Stable (858 tests)
Browser RDF/SPARQL executionoxirs-wasm✅ Stable
TypeScript type definitionsoxirs-wasm✅ Stable
Cloudflare Workers / Deno supportoxirs-wasm✅ Stable
Industrial IoT
Modbus TCP/RTU protocoloxirs-modbus✅ Stable (1095 tests)
CANbus / J1939 protocoloxirs-canbus✅ Stable (1125 tests)

Legend:

  • ✅ Stable: Production-ready with comprehensive tests, API stability guaranteed
  • ⏳ Planned: Not yet implemented
  • 🔸 Partial/plug-in support in Jena

Quality Metrics (v0.3.1):

  • ~43,500 tests passing (100% pass rate)
  • Zero compilation warnings (enforced with -D warnings)
  • 95%+ test coverage across all 26 modules
  • 95%+ documentation coverage
  • All integration tests passing
  • Production-grade security audit completed
  • CUDA GPU support for AI acceleration
  • 3.8x faster query optimization via adaptive complexity detection
  • Pure Rust by default — zero ring / aws-lc-sys C/asm crypto in the default-feature build

Usage Examples

Dataset Configuration (TOML)

[dataset.mykg]
type      = "tdb2"
location  = "/data"
text      = { enabled = true, analyzer = "english" }
shacl     = ["./shapes/person.ttl"]

# ReBAC Authorization (optional)
[security.policy_engine]
mode = "Combined"  # RbacOnly | RebacOnly | Combined | Both

[security.rebac]
backend = "InMemory"  # InMemory | RdfNative
namespace = "http://oxirs.org/auth#"
inference_enabled = true

[[security.rebac.initial_relationships]]
subject = "user:alice"
relation = "owner"
object = "dataset:mykg"

GraphQL Query (auto-generated)

query {
  Person(where: {familyName: "Yamada"}) {
    givenName
    homepage
    knows(limit: 5) { givenName }
  }
}

Vector Similarity SPARQL Service (opt-in AI)

SELECT ?s ?score WHERE {
  SERVICE <vec:similar ( "LLM embeddings of 'semantic web'" 0.8 )> {
    ?s ?score .
  }
}

Digital Twin Platform Examples

Smart City Sensor (NGSI-LD)

# Create an air quality sensor entity
curl -X POST http://localhost:3030/ngsi-ld/v1/entities \
  -H "Content-Type: application/ld+json" \
  -d '{
    "id": "urn:ngsi-ld:AirQualitySensor:Tokyo-001",
    "type": "AirQualitySensor",
    "location": {
      "type": "GeoProperty",
      "value": {"type": "Point", "coordinates": [139.6917, 35.6895]}
    },
    "temperature": {"type": "Property", "value": 22.5, "unitCode": "CEL"}
  }'

# Query sensors within 5km
curl "http://localhost:3030/ngsi-ld/v1/entities?type=AirQualitySensor&georel=near;maxDistance==5000"

Factory IoT Bridge (MQTT)

use oxirs_stream::backend::mqtt::{MqttConfig, MqttClient, TopicSubscription};

let mqtt_config = MqttConfig {
    broker_url: "mqtt://factory.example.com:1883".to_string(),
    subscriptions: vec![
        TopicSubscription {
            topic_pattern: "factory/+/sensor/#".to_string(),
            rdf_mapping: TopicRdfMapping {
                graph_iri: "urn:factory:sensors".to_string(),
                subject_template: "urn:sensor:{topic.1}:{topic.3}".to_string(),
            },
        }
    ],
};

let client = MqttClient::new(mqtt_config).await?;
client.connect().await?;
client.start_streaming().await?; // Real-time RDF updates

Data Sovereignty Policy (IDS/Gaia-X)

use oxirs_fuseki::ids::policy::{OdrlPolicy, Permission, Constraint};

let policy = OdrlPolicy {
    uid: "urn:policy:catena-x:battery-data:001".into(),
    permissions: vec![
        Permission {
            action: OdrlAction::Use,
            constraints: vec![
                Constraint::Purpose {
                    allowed_purposes: vec![Purpose::Research],
                },
                Constraint::Spatial {
                    allowed_regions: vec![Region::eu(), Region::japan()],
                },
                Constraint::Temporal {
                    operator: ComparisonOperator::LessThanOrEqual,
                    right_operand: Utc::now() + Duration::days(90),
                },
            ],
        }
    ],
};

Physics Simulation (SciRS2 Integration)

use oxirs_physics::simulation::SimulationOrchestrator;

let mut orchestrator = SimulationOrchestrator::new();
orchestrator.register("thermal", Arc::new(SciRS2ThermalSimulation::default()));

// Extract parameters from RDF, run simulation, inject results back
let result = orchestrator.execute_workflow(
    "urn:battery:cell:001",
    "thermal"
).await?;

println!("Converged: {}, Final temp: {:.2}°C",
    result.convergence_info.converged,
    result.state_trajectory.last().unwrap().state["temperature"]
);

Complete Examples: See DIGITAL_TWIN_QUICKSTART.md and examples/digital_twin_factory.rs

Internationalization

📖 Localized README versions:

Development

Prerequisites

  • Rust 1.70+ (MSRV)
  • Optional: Docker for containerized deployment

Building

# Clone the repository
git clone https://github.com/cool-japan/oxirs.git
cd oxirs

# Build all crates
cargo build --workspace

# Run tests
cargo nextest run --no-fail-fast

# Run with all features
cargo build --workspace --all-features

Feature Flags

Optional features to keep dependencies minimal:

  • geo: GeoSPARQL support
  • text: Full-text search with Tantivy
  • ai: Vector search and embeddings
  • cluster: Distributed storage with Raft
  • star: RDF-star and SPARQL-star support
  • vec: Vector index abstractions

Contributing

We welcome contributions! Please see our Contributing Guide for details.

RFC Process

  • Design documents go in ./rfcs/ with lazy-consensus and 14-day comment window
  • All code must pass rustfmt + nightly 2026-01, Clippy --all-targets --workspace -D warnings
  • Commit sign-off required (DCO 1.1)

Roadmap

VersionTarget DateMilestoneDeliverablesStatus
v0.1.0✅ Jan 7, 2026Initial Production ReleaseComplete SPARQL 1.1/1.2, Industrial IoT, AI features, 13,123 tests✅ Released
v0.2.4✅ Mar 16, 2026Deep Feature Expansion40,786 tests, 26 new modules, 3.8x faster optimizer, advanced SPARQL algebra, AI production-grade✅ Released
v0.3.0✅ May 3, 2026Full-text Search & ScaleFull-text search (Tantivy), 10x performance, multi-region clustering, audit/certification/SSO/marketplace✅ Released
v0.3.1✅ 2026-06-06SHACL-AF & Pure-RustSHACL Advanced Features (recursive/qualified/reasoning), genetic constraint optimization, RDF-star in query execution, GraphSAGE embeddings, FIPS gates, full Pure-Rust migration, ~43,500 tests✅ Released (current)

Current Release: v0.3.1 (2026-06-06)

v0.3.1 Focus Areas:

  • SHACL Advanced Features (SHACL-AF): recursive shapes, qualified value shapes, rule-based reasoning engine
  • SHACL constraint-order optimization via genetic algorithm (oxirs-shacl-ai)
  • RDF-star quoted triples in pattern matching and query execution (algebra/executor/JIT/planner/SIMD)
  • AI: GraphSAGE inductive embeddings, graph summarizer, relevance feedback
  • Security: FIPS 140-2 feature gates (oxirs-fuseki, oxirs-did), RBAC policy templates
  • COOLJAPAN Pure-Rust migration complete: brotli/snap/flate2 → oxiarc, ring → oxicrypto, pure-Rust TLS via oxitls
  • Dependency refresh: SciRS2 0.5.0, oxiarc 0.3.3 from crates.io; large-file refactors (all source < 2,000 lines)

Previous Release: v0.3.0 (May 3, 2026)

v0.3.0 Focus Areas (16 rounds complete):

  • Advanced SPARQL algebra: EXISTS/MINUS evaluators, subquery builder, service clause, LATERAL join
  • Storage hardening: six-index store, index merger/rebuilder, B-tree compaction, triple cache
  • AI production readiness: vector store, constraint inference, conversation history, response cache
  • Security hardening: credential store, trust chain validation, key manager, VC presenter
  • New CLI tools: diff, convert, validate, monitor, profile, inspect, merge commands
  • Stream enhancements: partition manager, consumer groups, schema registry, dead-letter queue
  • Time-series: continuous queries, write buffer, tag index, retention management

Sponsorship

OxiRS is developed and maintained by COOLJAPAN OU (Team Kitasan).

If you find OxiRS useful, please consider sponsoring the project to support continued development of the Pure Rust ecosystem.

Sponsor

https://github.com/sponsors/cool-japan

Your sponsorship helps us:

  • Maintain and improve the COOLJAPAN ecosystem
  • Keep the entire ecosystem (OxiBLAS, OxiFFT, SciRS2, etc.) 100% Pure Rust
  • Provide long-term support and security updates

License

OxiRS is licensed under:

See LICENSE for details.

Contact

Release Notes (v0.3.1)

Full notes live in CHANGELOG.md.

Highlights (2026-06-06)

  • ~43,500 tests passing across all 26 crates
  • SHACL Advanced Features completed: recursive shapes, qualified value shapes, and a rule-based reasoning engine
  • Genetic constraint-order optimization for SHACL shapes (oxirs-shacl-ai)
  • RDF-star quoted triples in pattern matching and query execution (algebra, executor, JIT, planner, SIMD)
  • GraphSAGE inductive embeddings, graph summarizer, and relevance feedback (oxirs-embed, oxirs-graphrag)
  • FIPS 140-2 feature gates (oxirs-fuseki, oxirs-did) and RBAC policy templates
  • Pure-Rust migration complete: brotli/snap/flate2 → oxiarc, ring → oxicrypto, pure-Rust TLS via oxitls; default build links zero ring / aws-lc-sys
  • SciRS2 0.5.0; oxiarc 0.3.3 consumed directly from crates.io; large-file refactors (all source < 2,000 lines)

Previous Highlights (v0.3.0 — May 3, 2026)

  • 40,786 tests passing across all 26 crates
  • 26 new functional modules added across all 26 crates in 16 development rounds
  • Advanced SPARQL algebra: EXISTS evaluator, MINUS evaluator, subquery builder, service clause handler
  • Storage hardening: six-index store (SPO/POS/OSP/GSPO/GPOS/GOPS), index merger/rebuilder, B-tree compaction
  • AI production-grade: vector store, constraint inference, conversation history, response cache, reranker
  • Security hardening: credential store, trust chain validation, key manager, VC presenter, proof purpose
  • New CLI tools: diff, convert, validate, monitor, profile, inspect, merge, query commands
  • Industrial IoT: Modbus register encoder, CANbus frame validator, signal decoder, device scanner
  • Geospatial: convex hull (Graham scan), distance calculator, intersection detector, area calculator
  • Stream processing: partition manager, consumer groups, schema registry, dead-letter queue, watermark tracking

Per-Crate Test Counts (v0.3.1)

Workspace total for v0.3.1: ~43,500 tests passing. The per-crate breakdown below is the last published baseline; v0.3.1's additional ~2,700 tests come from GraphSAGE embeddings, the graph summarizer, relevance feedback, SHACL-AF (recursive/qualified/reasoning), Datalog, Manchester syntax, and related modules. | Crate | Tests | |-------|-------| | oxirs-arq | 2688 | | oxirs-core | 2332 | | oxirs-fuseki | 2144 | | oxirs-gql | 2081 | | oxirs-rule | 2072 | | oxirs-shacl | 2008 | | oxirs-tdb | 2005 | | oxirs-ttl | 1726 | | oxirs-geosparql | 1713 | | oxirs-star | 1628 | | oxirs (tools) | 1615 | | oxirs-vec | 1598 | | oxirs-shacl-ai | 1589 | | oxirs-stream | 1505 | | oxirs-cluster | 1489 | | oxirs-samm | 1409 | | oxirs-federate | 1397 | | oxirs-embed | 1345 | | oxirs-chat | 1195 | | oxirs-tsdb | 1127 | | oxirs-canbus | 1125 | | oxirs-modbus | 1095 | | oxirs-physics | 1063 | | oxirs-did | 1043 | | oxirs-graphrag | 935 | | oxirs-wasm | 858 | | Baseline subtotal | 40,786 |

Performance Benchmarks

Query Optimization (5 triple patterns):
  HighThroughput:  3.24 µs  (3.3x faster than baseline)
  Analytical:      3.01 µs  (3.9x faster than baseline)
  Mixed:           2.95 µs  (3.6x faster than baseline)
  LowMemory:       2.94 µs  (5.3x faster than baseline)

Time-Series Database:
  Write throughput: 500K pts/sec (single), 2M pts/sec (batch)
  Query latency:    180ms p50 (1M points)
  Compression:      40:1 average ratio

Production Impact (100K QPS):
  CPU time saved: 45 minutes per hour (75% reduction)
  Annual savings: \$10,000 - \$50,000 (cloud deployments)

Getting Started

  • Install the CLI with cargo install oxirs
  • Adaptive optimization is enabled by default (no configuration needed)
  • CUDA support is opt-in via feature flags
  • See CHANGELOG.md for detailed release notes

"Rust makes memory safety table stakes; OxiRS makes knowledge-graph engineering table stakes."

v0.3.1 - Released - 2026-06-06