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⚡ QuadStore

A blazingly fast, lightweight RDF quad store for .NET 10 — minimal dependencies, pure performance.

Build StatusTests Passing.NET VersionLicense

🌟 Why QuadStore?

✨ Sub-microsecond queries — Indexed lookups in <200ns (faster than most in-memory operations)
🎯 Batch load 1M triples in 3.65 seconds — 274K triples/sec throughput
📦 Lightweight — TriG loading without need for external RDF libraries
🔍 SPARQL support — Full graph pattern matching and variable binding
✅ Well tested — 200+ passing tests, W3C TriG compliance

🚀 Quick Start

1) Use QuadStore through dotNetRDF + Leviathan

QuadStore is the core in-memory quad store. QuadStoreStorageProvider adapts it to the standard dotNetRDF storage interfaces. That means Leviathan can run SPARQL queries against your QuadStore data.

usingTripleStore.Core;usingVDS.RDF.Query;usingVDS.RDF.Storage;// 1) Define a tiny in-memory TriG document with two FOAF name triples.conststringtrigContent="""@prefix foaf: <http://xmlns.com/foaf/0.1/> .{ <http://example.org/alice> foaf:name "Alice" . <http://example.org/bob> foaf:name "Bob" .}""";// 2) Persist the TriG content to disk so the loader can read it from a file.vardataFilePath=Path.Combine(AppContext.BaseDirectory,"data.trig");File.WriteAllText(dataFilePath,trigContent);// 3) Create/open the QuadStore data directory.varstorePath=Path.Combine(AppContext.BaseDirectory,"store-data");usingvarstore=newQuadStore(storePath);// 4) Load TriG quads directly into QuadStore in a single pass.varloader=newSinglePassTrigLoader(store);loader.LoadFromFile(dataFilePath);// 5) Wrap QuadStore with the dotNetRDF storage adapter so Leviathan can query it.IStorageProviderprovider=newQuadStoreStorageProvider(store);varqueryable=(IQueryableStorage)provider;// 6) Run a SPARQL SELECT query through Leviathan.varquery=@"SELECT ?person ?nameWHERE { ?person <http://xmlns.com/foaf/0.1/name> ?name .}";varresults=(SparqlResultSet)queryable.Query(query);// 7) Print the SPARQL result rows.Console.WriteLine("Leviathan query results:");foreach(varrowinresults){Console.WriteLine($"{row["person"]} -> {row["name"]}");}

2) Minimal ASP.NET endpoint (SPARQL Protocol style)

This example exposes a simple /sparql endpoint that accepts a SPARQL query and returns:

  • SPARQL JSON results for SELECT/ASK
  • Turtle for CONSTRUCT/DESCRIBE
usingTripleStore.Core;usingVDS.RDF;usingVDS.RDF.Query;usingVDS.RDF.Storage;usingVDS.RDF.Writing;vardataDir=args.Length>0?args[0]:"./quadstore-data";varqs=newQuadStore(dataDir);varprovider=newQuadStoreStorageProvider(qs);varqueryable=(IQueryableStorage)provider;// ---------------------------------------------------------------------------// Section B: Seed Data// ---------------------------------------------------------------------------// On first run (empty store), load a small set of FOAF triples so the sample// can be queried immediately without manual data loading.if(!qs.Query().Any()){varseedTriG=""" @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix ex: <http://example.org/> . { ex:alice foaf:name "Alice" ; foaf:knows ex:bob . ex:bob foaf:name "Bob" ; foaf:knows ex:alice . } """;varloader=newSinglePassTrigLoader(qs);loader.LoadFromString(seedTriG);qs.SaveAll();}// ---------------------------------------------------------------------------// Section C: Host Configuration// ---------------------------------------------------------------------------// Build the ASP.NET Core minimal API host and register QuadStore and its// storage provider as singletons so they are available to the request pipeline.varbuilder=WebApplication.CreateBuilder(args);builder.Services.AddSingleton(qs);builder.Services.AddSingleton(provider);builder.Services.AddSingleton<IQueryableStorage>(provider);varapp=builder.Build();app.MapSparqlEndpoints();// ---------------------------------------------------------------------------// Section G: Shutdown// ---------------------------------------------------------------------------// Dispose the QuadStore when the application is stopping to release// memory-mapped file handles cleanly.app.Lifetime.ApplicationStopping.Register(()=>{qs.Dispose();});app.Run();

⚠️ Current Limitations

QuadStore + QuadStoreStorageProvider is intentionally append-only currently:

  • ❌ No graph deletion (DeleteGraph is not supported)
  • ❌ No triple removal in UpdateGraph (additions only)
  • ❌ No SPARQL Update (IUpdateableStorage.Update throws)
  • ℹ️ Per-query in-memory snapshot for Leviathan queries (simple and correct, but can be slower on very large datasets)

📊 Performance at a Glance

Query Performance (Latency)

Operation10K Triples100K Triples1M Triples
Subject lookup<200ns<200ns<200ns
Predicate query36µs536µs4.4ms
Object lookup<200ns<200ns<200ns
Graph filter138µs1.9ms17.6ms
Multiple patterns1.6µs21µs285µs
Full enumeration852µs7.9ms80.3ms

Load Performance (Throughput)

DatasetTimeThroughput
10K triples370ms27K/sec
100K triples299ms335K/sec
1M triples3.65s274K/sec

Benchmarks on Intel Core Ultra 7 265H, .NET 10.0. See detailed benchmark analysis for all metrics.

🛠️ Installation

QuadStore is built for .NET 10.0 and ships as a library. Add it to your project:

# If published to NuGet (coming soon)
dotnet add package QuadStore.Core

For now, clone and reference locally:

git clone https://github.com/aabs/QuadStore.git
# Add project reference in your .csproj:# <ProjectReference Include="path/to/src/TripleStore.Core/TripleStore.Core.csproj" />

Indexing Strategy

QuadStore maintains roaring bitmap indexes for fast intersection:

  • Subject index → O(1) lookup by URI
  • Predicate index → O(1) lookup by property
  • Object index → O(1) lookup by resource
  • Graph index → O(1) lookup by named graph

Multi-dimensional queries use two-pointer intersection over sorted result sets, keeping complex queries sub-millisecond even at scale.

📚 Documentation

🔬 Building & Testing

# Build
dotnet build -c Release
# Run all tests
dotnet test -c Release --nologo
# Run benchmarks
dotnet run -c Release --project benchmark/TripleStore.Benchmarks/TripleStore.Benchmarks.csproj

💭 Feedback & Contributing

Have ideas? Found a bug? Jump in!

All contributions welcome, from bug reports to performance improvements.

📝 License

MIT — Use freely in commercial and personal projects.

Made with ⚡ for .NET developers who demand performance.

About

A blazingly fast, lightweight RDF database for .NET 10

Topics

databasedotnetquadstorerdfsemantic-webtriplestore

Resources

Readme
Activity
Custom properties

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
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⚡ QuadStore
A blazingly fast, lightweight RDF quad store for .NET 10 — minimal dependencies, pure performance.
Build StatusTests Passing.NET VersionLicense
🌟 Why QuadStore?
✨ Sub-microsecond queries — Indexed lookups in <200ns (faster than most in-memory operations)

🎯 Batch load 1M triples in 3.65 seconds — 274K triples/sec throughput

📦 Lightweight — TriG loading without need for external RDF libraries

🔍 SPARQL support — Full graph pattern matching and variable binding

✅ Well tested — 200+ passing tests, W3C TriG compliance
🚀 Quick Start
1) Use QuadStore through dotNetRDF + Leviathan
QuadStore is the core in-memory quad store.
QuadStoreStorageProvider adapts it to the standard dotNetRDF storage interfaces.
That means Leviathan can run SPARQL queries against your QuadStore data.
usingTripleStore.Core;usingVDS.RDF.Query;usingVDS.RDF.Storage;// 1) Define a tiny in-memory TriG document with two FOAF name triples.conststringtrigContent="""@prefix foaf: <http://xmlns.com/foaf/0.1/> .{ <http://example.org/alice> foaf:name "Alice" . <http://example.org/bob> foaf:name "Bob" .}""";// 2) Persist the TriG content to disk so the loader can read it from a file.vardataFilePath=Path.Combine(AppContext.BaseDirectory,"data.trig");File.WriteAllText(dataFilePath,trigContent);// 3) Create/open the QuadStore data directory.varstorePath=Path.Combine(AppContext.BaseDirectory,"store-data");usingvarstore=newQuadStore(storePath);// 4) Load TriG quads directly into QuadStore in a single pass.varloader=newSinglePassTrigLoader(store);loader.LoadFromFile(dataFilePath);// 5) Wrap QuadStore with the dotNetRDF storage adapter so Leviathan can query it.IStorageProviderprovider=newQuadStoreStorageProvider(store);varqueryable=(IQueryableStorage)provider;// 6) Run a SPARQL SELECT query through Leviathan.varquery=@"SELECT ?person ?nameWHERE { ?person <http://xmlns.com/foaf/0.1/name> ?name .}";varresults=(SparqlResultSet)queryable.Query(query);// 7) Print the SPARQL result rows.Console.WriteLine("Leviathan query results:");foreach(varrowinresults){Console.WriteLine($"{row["person"]} -> {row["name"]}");}
2) Minimal ASP.NET endpoint (SPARQL Protocol style)
This example exposes a simple /sparql endpoint that accepts a SPARQL query and returns:
  • SPARQL JSON results for SELECT/ASK
  • Turtle for CONSTRUCT/DESCRIBE
usingTripleStore.Core;usingVDS.RDF;usingVDS.RDF.Query;usingVDS.RDF.Storage;usingVDS.RDF.Writing;vardataDir=args.Length>0?args[0]:"./quadstore-data";varqs=newQuadStore(dataDir);varprovider=newQuadStoreStorageProvider(qs);varqueryable=(IQueryableStorage)provider;// ---------------------------------------------------------------------------// Section B: Seed Data// ---------------------------------------------------------------------------// On first run (empty store), load a small set of FOAF triples so the sample// can be queried immediately without manual data loading.if(!qs.Query().Any()){varseedTriG=""" @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix ex: <http://example.org/> . { ex:alice foaf:name "Alice" ; foaf:knows ex:bob . ex:bob foaf:name "Bob" ; foaf:knows ex:alice . } """;varloader=newSinglePassTrigLoader(qs);loader.LoadFromString(seedTriG);qs.SaveAll();}// ---------------------------------------------------------------------------// Section C: Host Configuration// ---------------------------------------------------------------------------// Build the ASP.NET Core minimal API host and register QuadStore and its// storage provider as singletons so they are available to the request pipeline.varbuilder=WebApplication.CreateBuilder(args);builder.Services.AddSingleton(qs);builder.Services.AddSingleton(provider);builder.Services.AddSingleton<IQueryableStorage>(provider);varapp=builder.Build();app.MapSparqlEndpoints();// ---------------------------------------------------------------------------// Section G: Shutdown// ---------------------------------------------------------------------------// Dispose the QuadStore when the application is stopping to release// memory-mapped file handles cleanly.app.Lifetime.ApplicationStopping.Register(()=>{qs.Dispose();});app.Run();
⚠️ Current Limitations
QuadStore + QuadStoreStorageProvider is intentionally append-only currently:
  • ❌ No graph deletion (DeleteGraph is not supported)
  • ❌ No triple removal in UpdateGraph (additions only)
  • ❌ No SPARQL Update (IUpdateableStorage.Update throws)
  • ℹ️ Per-query in-memory snapshot for Leviathan queries (simple and correct, but can be slower on very large datasets)
📊 Performance at a Glance
Query Performance (Latency)
Operation10K Triples100K Triples1M Triples
Subject lookup<200ns<200ns<200ns
Predicate query36µs536µs4.4ms
Object lookup<200ns<200ns<200ns
Graph filter138µs1.9ms17.6ms
Multiple patterns1.6µs21µs285µs
Full enumeration852µs7.9ms80.3ms
Load Performance (Throughput)
DatasetTimeThroughput
10K triples370ms27K/sec
100K triples299ms335K/sec
1M triples3.65s274K/sec
Benchmarks on Intel Core Ultra 7 265H, .NET 10.0. See detailed benchmark analysis for all metrics.
🛠️ Installation
QuadStore is built for .NET 10.0 and ships as a library. Add it to your project:
# If published to NuGet (coming soon)
dotnet add package QuadStore.Core
For now, clone and reference locally:
git clone https://github.com/aabs/QuadStore.git
# Add project reference in your .csproj:# <ProjectReference Include="path/to/src/TripleStore.Core/TripleStore.Core.csproj" />
Indexing Strategy
QuadStore maintains roaring bitmap indexes for fast intersection:
  • Subject index → O(1) lookup by URI
  • Predicate index → O(1) lookup by property
  • Object index → O(1) lookup by resource
  • Graph index → O(1) lookup by named graph
Multi-dimensional queries use two-pointer intersection over sorted result sets, keeping complex queries sub-millisecond even at scale.
📚 Documentation
🔬 Building & Testing
# Build
dotnet build -c Release
# Run all tests
dotnet test -c Release --nologo
# Run benchmarks
dotnet run -c Release --project benchmark/TripleStore.Benchmarks/TripleStore.Benchmarks.csproj
💭 Feedback & Contributing
Have ideas? Found a bug? Jump in!
All contributions welcome, from bug reports to performance improvements.
📝 License
MIT — Use freely in commercial and personal projects.
Made with ⚡ for .NET developers who demand performance.
About
A blazingly fast, lightweight RDF database for .NET 10
Topics
databasedotnetquadstorerdfsemantic-webtriplestore
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
⚡ QuadStore
A blazingly fast, lightweight RDF quad store for .NET 10 — minimal dependencies, pure performance.
Build StatusTests Passing.NET VersionLicense
🌟 Why QuadStore?
✨ Sub-microsecond queries — Indexed lookups in <200ns (faster than most in-memory operations)

🎯 Batch load 1M triples in 3.65 seconds — 274K triples/sec throughput

📦 Lightweight — TriG loading without need for external RDF libraries

🔍 SPARQL support — Full graph pattern matching and variable binding

✅ Well tested — 200+ passing tests, W3C TriG compliance
🚀 Quick Start
1) Use QuadStore through dotNetRDF + Leviathan
QuadStore is the core in-memory quad store.
QuadStoreStorageProvider adapts it to the standard dotNetRDF storage interfaces.
That means Leviathan can run SPARQL queries against your QuadStore data.
usingTripleStore.Core;usingVDS.RDF.Query;usingVDS.RDF.Storage;// 1) Define a tiny in-memory TriG document with two FOAF name triples.conststringtrigContent="""@prefix foaf: <http://xmlns.com/foaf/0.1/> .{ <http://example.org/alice> foaf:name "Alice" . <http://example.org/bob> foaf:name "Bob" .}""";// 2) Persist the TriG content to disk so the loader can read it from a file.vardataFilePath=Path.Combine(AppContext.BaseDirectory,"data.trig");File.WriteAllText(dataFilePath,trigContent);// 3) Create/open the QuadStore data directory.varstorePath=Path.Combine(AppContext.BaseDirectory,"store-data");usingvarstore=newQuadStore(storePath);// 4) Load TriG quads directly into QuadStore in a single pass.varloader=newSinglePassTrigLoader(store);loader.LoadFromFile(dataFilePath);// 5) Wrap QuadStore with the dotNetRDF storage adapter so Leviathan can query it.IStorageProviderprovider=newQuadStoreStorageProvider(store);varqueryable=(IQueryableStorage)provider;// 6) Run a SPARQL SELECT query through Leviathan.varquery=@"SELECT ?person ?nameWHERE { ?person <http://xmlns.com/foaf/0.1/name> ?name .}";varresults=(SparqlResultSet)queryable.Query(query);// 7) Print the SPARQL result rows.Console.WriteLine("Leviathan query results:");foreach(varrowinresults){Console.WriteLine($"{row["person"]} -> {row["name"]}");}
2) Minimal ASP.NET endpoint (SPARQL Protocol style)
This example exposes a simple /sparql endpoint that accepts a SPARQL query and returns:
  • SPARQL JSON results for SELECT/ASK
  • Turtle for CONSTRUCT/DESCRIBE
usingTripleStore.Core;usingVDS.RDF;usingVDS.RDF.Query;usingVDS.RDF.Storage;usingVDS.RDF.Writing;vardataDir=args.Length>0?args[0]:"./quadstore-data";varqs=newQuadStore(dataDir);varprovider=newQuadStoreStorageProvider(qs);varqueryable=(IQueryableStorage)provider;// ---------------------------------------------------------------------------// Section B: Seed Data// ---------------------------------------------------------------------------// On first run (empty store), load a small set of FOAF triples so the sample// can be queried immediately without manual data loading.if(!qs.Query().Any()){varseedTriG=""" @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix ex: <http://example.org/> . { ex:alice foaf:name "Alice" ; foaf:knows ex:bob . ex:bob foaf:name "Bob" ; foaf:knows ex:alice . } """;varloader=newSinglePassTrigLoader(qs);loader.LoadFromString(seedTriG);qs.SaveAll();}// ---------------------------------------------------------------------------// Section C: Host Configuration// ---------------------------------------------------------------------------// Build the ASP.NET Core minimal API host and register QuadStore and its// storage provider as singletons so they are available to the request pipeline.varbuilder=WebApplication.CreateBuilder(args);builder.Services.AddSingleton(qs);builder.Services.AddSingleton(provider);builder.Services.AddSingleton<IQueryableStorage>(provider);varapp=builder.Build();app.MapSparqlEndpoints();// ---------------------------------------------------------------------------// Section G: Shutdown// ---------------------------------------------------------------------------// Dispose the QuadStore when the application is stopping to release// memory-mapped file handles cleanly.app.Lifetime.ApplicationStopping.Register(()=>{qs.Dispose();});app.Run();
⚠️ Current Limitations
QuadStore + QuadStoreStorageProvider is intentionally append-only currently:
  • ❌ No graph deletion (DeleteGraph is not supported)
  • ❌ No triple removal in UpdateGraph (additions only)
  • ❌ No SPARQL Update (IUpdateableStorage.Update throws)
  • ℹ️ Per-query in-memory snapshot for Leviathan queries (simple and correct, but can be slower on very large datasets)
📊 Performance at a Glance
Query Performance (Latency)
Operation10K Triples100K Triples1M Triples
Subject lookup<200ns<200ns<200ns
Predicate query36µs536µs4.4ms
Object lookup<200ns<200ns<200ns
Graph filter138µs1.9ms17.6ms
Multiple patterns1.6µs21µs285µs
Full enumeration852µs7.9ms80.3ms
Load Performance (Throughput)
DatasetTimeThroughput
10K triples370ms27K/sec
100K triples299ms335K/sec
1M triples3.65s274K/sec
Benchmarks on Intel Core Ultra 7 265H, .NET 10.0. See detailed benchmark analysis for all metrics.
🛠️ Installation
QuadStore is built for .NET 10.0 and ships as a library. Add it to your project:
# If published to NuGet (coming soon)
dotnet add package QuadStore.Core
For now, clone and reference locally:
git clone https://github.com/aabs/QuadStore.git
# Add project reference in your .csproj:# <ProjectReference Include="path/to/src/TripleStore.Core/TripleStore.Core.csproj" />
Indexing Strategy
QuadStore maintains roaring bitmap indexes for fast intersection:
  • Subject index → O(1) lookup by URI
  • Predicate index → O(1) lookup by property
  • Object index → O(1) lookup by resource
  • Graph index → O(1) lookup by named graph
Multi-dimensional queries use two-pointer intersection over sorted result sets, keeping complex queries sub-millisecond even at scale.
📚 Documentation
🔬 Building & Testing
# Build
dotnet build -c Release
# Run all tests
dotnet test -c Release --nologo
# Run benchmarks
dotnet run -c Release --project benchmark/TripleStore.Benchmarks/TripleStore.Benchmarks.csproj
💭 Feedback & Contributing
Have ideas? Found a bug? Jump in!
All contributions welcome, from bug reports to performance improvements.
📝 License
MIT — Use freely in commercial and personal projects.
Made with ⚡ for .NET developers who demand performance.
About
A blazingly fast, lightweight RDF database for .NET 10
Topics
databasedotnetquadstorerdfsemantic-webtriplestore
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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⚡ QuadStore
A blazingly fast, lightweight RDF quad store for .NET 10 — minimal dependencies, pure performance.
Build StatusTests Passing.NET VersionLicense
🌟 Why QuadStore?
✨ Sub-microsecond queries — Indexed lookups in <200ns (faster than most in-memory operations)

🎯 Batch load 1M triples in 3.65 seconds — 274K triples/sec throughput

📦 Lightweight — TriG loading without need for external RDF libraries

🔍 SPARQL support — Full graph pattern matching and variable binding

✅ Well tested — 200+ passing tests, W3C TriG compliance
🚀 Quick Start
1) Use QuadStore through dotNetRDF + Leviathan
QuadStore is the core in-memory quad store.
QuadStoreStorageProvider adapts it to the standard dotNetRDF storage interfaces.
That means Leviathan can run SPARQL queries against your QuadStore data.
usingTripleStore.Core;usingVDS.RDF.Query;usingVDS.RDF.Storage;// 1) Define a tiny in-memory TriG document with two FOAF name triples.conststringtrigContent="""@prefix foaf: <http://xmlns.com/foaf/0.1/> .{ <http://example.org/alice> foaf:name "Alice" . <http://example.org/bob> foaf:name "Bob" .}""";// 2) Persist the TriG content to disk so the loader can read it from a file.vardataFilePath=Path.Combine(AppContext.BaseDirectory,"data.trig");File.WriteAllText(dataFilePath,trigContent);// 3) Create/open the QuadStore data directory.varstorePath=Path.Combine(AppContext.BaseDirectory,"store-data");usingvarstore=newQuadStore(storePath);// 4) Load TriG quads directly into QuadStore in a single pass.varloader=newSinglePassTrigLoader(store);loader.LoadFromFile(dataFilePath);// 5) Wrap QuadStore with the dotNetRDF storage adapter so Leviathan can query it.IStorageProviderprovider=newQuadStoreStorageProvider(store);varqueryable=(IQueryableStorage)provider;// 6) Run a SPARQL SELECT query through Leviathan.varquery=@"SELECT ?person ?nameWHERE { ?person <http://xmlns.com/foaf/0.1/name> ?name .}";varresults=(SparqlResultSet)queryable.Query(query);// 7) Print the SPARQL result rows.Console.WriteLine("Leviathan query results:");foreach(varrowinresults){Console.WriteLine($"{row["person"]} -> {row["name"]}");}
2) Minimal ASP.NET endpoint (SPARQL Protocol style)
This example exposes a simple /sparql endpoint that accepts a SPARQL query and returns:
  • SPARQL JSON results for SELECT/ASK
  • Turtle for CONSTRUCT/DESCRIBE
usingTripleStore.Core;usingVDS.RDF;usingVDS.RDF.Query;usingVDS.RDF.Storage;usingVDS.RDF.Writing;vardataDir=args.Length>0?args[0]:"./quadstore-data";varqs=newQuadStore(dataDir);varprovider=newQuadStoreStorageProvider(qs);varqueryable=(IQueryableStorage)provider;// ---------------------------------------------------------------------------// Section B: Seed Data// ---------------------------------------------------------------------------// On first run (empty store), load a small set of FOAF triples so the sample// can be queried immediately without manual data loading.if(!qs.Query().Any()){varseedTriG=""" @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix ex: <http://example.org/> . { ex:alice foaf:name "Alice" ; foaf:knows ex:bob . ex:bob foaf:name "Bob" ; foaf:knows ex:alice . } """;varloader=newSinglePassTrigLoader(qs);loader.LoadFromString(seedTriG);qs.SaveAll();}// ---------------------------------------------------------------------------// Section C: Host Configuration// ---------------------------------------------------------------------------// Build the ASP.NET Core minimal API host and register QuadStore and its// storage provider as singletons so they are available to the request pipeline.varbuilder=WebApplication.CreateBuilder(args);builder.Services.AddSingleton(qs);builder.Services.AddSingleton(provider);builder.Services.AddSingleton<IQueryableStorage>(provider);varapp=builder.Build();app.MapSparqlEndpoints();// ---------------------------------------------------------------------------// Section G: Shutdown// ---------------------------------------------------------------------------// Dispose the QuadStore when the application is stopping to release// memory-mapped file handles cleanly.app.Lifetime.ApplicationStopping.Register(()=>{qs.Dispose();});app.Run();
⚠️ Current Limitations
QuadStore + QuadStoreStorageProvider is intentionally append-only currently:
  • ❌ No graph deletion (DeleteGraph is not supported)
  • ❌ No triple removal in UpdateGraph (additions only)
  • ❌ No SPARQL Update (IUpdateableStorage.Update throws)
  • ℹ️ Per-query in-memory snapshot for Leviathan queries (simple and correct, but can be slower on very large datasets)
📊 Performance at a Glance
Query Performance (Latency)
Operation10K Triples100K Triples1M Triples
Subject lookup<200ns<200ns<200ns
Predicate query36µs536µs4.4ms
Object lookup<200ns<200ns<200ns
Graph filter138µs1.9ms17.6ms
Multiple patterns1.6µs21µs285µs
Full enumeration852µs7.9ms80.3ms
Load Performance (Throughput)
DatasetTimeThroughput
10K triples370ms27K/sec
100K triples299ms335K/sec
1M triples3.65s274K/sec
Benchmarks on Intel Core Ultra 7 265H, .NET 10.0. See detailed benchmark analysis for all metrics.
🛠️ Installation
QuadStore is built for .NET 10.0 and ships as a library. Add it to your project:
# If published to NuGet (coming soon)
dotnet add package QuadStore.Core
For now, clone and reference locally:
git clone https://github.com/aabs/QuadStore.git
# Add project reference in your .csproj:# <ProjectReference Include="path/to/src/TripleStore.Core/TripleStore.Core.csproj" />
Indexing Strategy
QuadStore maintains roaring bitmap indexes for fast intersection:
  • Subject index → O(1) lookup by URI
  • Predicate index → O(1) lookup by property
  • Object index → O(1) lookup by resource
  • Graph index → O(1) lookup by named graph
Multi-dimensional queries use two-pointer intersection over sorted result sets, keeping complex queries sub-millisecond even at scale.
📚 Documentation
🔬 Building & Testing
# Build
dotnet build -c Release
# Run all tests
dotnet test -c Release --nologo
# Run benchmarks
dotnet run -c Release --project benchmark/TripleStore.Benchmarks/TripleStore.Benchmarks.csproj
💭 Feedback & Contributing
Have ideas? Found a bug? Jump in!
All contributions welcome, from bug reports to performance improvements.
📝 License
MIT — Use freely in commercial and personal projects.
Made with ⚡ for .NET developers who demand performance.
About
A blazingly fast, lightweight RDF database for .NET 10
Topics
databasedotnetquadstorerdfsemantic-webtriplestore
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
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⚡ QuadStore
A blazingly fast, lightweight RDF quad store for .NET 10 — minimal dependencies, pure performance.
Build StatusTests Passing.NET VersionLicense
🌟 Why QuadStore?
✨ Sub-microsecond queries — Indexed lookups in <200ns (faster than most in-memory operations)

🎯 Batch load 1M triples in 3.65 seconds — 274K triples/sec throughput

📦 Lightweight — TriG loading without need for external RDF libraries

🔍 SPARQL support — Full graph pattern matching and variable binding

✅ Well tested — 200+ passing tests, W3C TriG compliance
🚀 Quick Start
1) Use QuadStore through dotNetRDF + Leviathan
QuadStore is the core in-memory quad store.
QuadStoreStorageProvider adapts it to the standard dotNetRDF storage interfaces.
That means Leviathan can run SPARQL queries against your QuadStore data.
usingTripleStore.Core;usingVDS.RDF.Query;usingVDS.RDF.Storage;// 1) Define a tiny in-memory TriG document with two FOAF name triples.conststringtrigContent="""@prefix foaf: <http://xmlns.com/foaf/0.1/> .{ <http://example.org/alice> foaf:name "Alice" . <http://example.org/bob> foaf:name "Bob" .}""";// 2) Persist the TriG content to disk so the loader can read it from a file.vardataFilePath=Path.Combine(AppContext.BaseDirectory,"data.trig");File.WriteAllText(dataFilePath,trigContent);// 3) Create/open the QuadStore data directory.varstorePath=Path.Combine(AppContext.BaseDirectory,"store-data");usingvarstore=newQuadStore(storePath);// 4) Load TriG quads directly into QuadStore in a single pass.varloader=newSinglePassTrigLoader(store);loader.LoadFromFile(dataFilePath);// 5) Wrap QuadStore with the dotNetRDF storage adapter so Leviathan can query it.IStorageProviderprovider=newQuadStoreStorageProvider(store);varqueryable=(IQueryableStorage)provider;// 6) Run a SPARQL SELECT query through Leviathan.varquery=@"SELECT ?person ?nameWHERE { ?person <http://xmlns.com/foaf/0.1/name> ?name .}";varresults=(SparqlResultSet)queryable.Query(query);// 7) Print the SPARQL result rows.Console.WriteLine("Leviathan query results:");foreach(varrowinresults){Console.WriteLine($"{row["person"]} -> {row["name"]}");}
2) Minimal ASP.NET endpoint (SPARQL Protocol style)
This example exposes a simple /sparql endpoint that accepts a SPARQL query and returns:
  • SPARQL JSON results for SELECT/ASK
  • Turtle for CONSTRUCT/DESCRIBE
usingTripleStore.Core;usingVDS.RDF;usingVDS.RDF.Query;usingVDS.RDF.Storage;usingVDS.RDF.Writing;vardataDir=args.Length>0?args[0]:"./quadstore-data";varqs=newQuadStore(dataDir);varprovider=newQuadStoreStorageProvider(qs);varqueryable=(IQueryableStorage)provider;// ---------------------------------------------------------------------------// Section B: Seed Data// ---------------------------------------------------------------------------// On first run (empty store), load a small set of FOAF triples so the sample// can be queried immediately without manual data loading.if(!qs.Query().Any()){varseedTriG=""" @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix ex: <http://example.org/> . { ex:alice foaf:name "Alice" ; foaf:knows ex:bob . ex:bob foaf:name "Bob" ; foaf:knows ex:alice . } """;varloader=newSinglePassTrigLoader(qs);loader.LoadFromString(seedTriG);qs.SaveAll();}// ---------------------------------------------------------------------------// Section C: Host Configuration// ---------------------------------------------------------------------------// Build the ASP.NET Core minimal API host and register QuadStore and its// storage provider as singletons so they are available to the request pipeline.varbuilder=WebApplication.CreateBuilder(args);builder.Services.AddSingleton(qs);builder.Services.AddSingleton(provider);builder.Services.AddSingleton<IQueryableStorage>(provider);varapp=builder.Build();app.MapSparqlEndpoints();// ---------------------------------------------------------------------------// Section G: Shutdown// ---------------------------------------------------------------------------// Dispose the QuadStore when the application is stopping to release// memory-mapped file handles cleanly.app.Lifetime.ApplicationStopping.Register(()=>{qs.Dispose();});app.Run();
⚠️ Current Limitations
QuadStore + QuadStoreStorageProvider is intentionally append-only currently:
  • ❌ No graph deletion (DeleteGraph is not supported)
  • ❌ No triple removal in UpdateGraph (additions only)
  • ❌ No SPARQL Update (IUpdateableStorage.Update throws)
  • ℹ️ Per-query in-memory snapshot for Leviathan queries (simple and correct, but can be slower on very large datasets)
📊 Performance at a Glance
Query Performance (Latency)
Operation10K Triples100K Triples1M Triples
Subject lookup<200ns<200ns<200ns
Predicate query36µs536µs4.4ms
Object lookup<200ns<200ns<200ns
Graph filter138µs1.9ms17.6ms
Multiple patterns1.6µs21µs285µs
Full enumeration852µs7.9ms80.3ms
Load Performance (Throughput)
DatasetTimeThroughput
10K triples370ms27K/sec
100K triples299ms335K/sec
1M triples3.65s274K/sec
Benchmarks on Intel Core Ultra 7 265H, .NET 10.0. See detailed benchmark analysis for all metrics.
🛠️ Installation
QuadStore is built for .NET 10.0 and ships as a library. Add it to your project:
# If published to NuGet (coming soon)
dotnet add package QuadStore.Core
For now, clone and reference locally:
git clone https://github.com/aabs/QuadStore.git
# Add project reference in your .csproj:# <ProjectReference Include="path/to/src/TripleStore.Core/TripleStore.Core.csproj" />
Indexing Strategy
QuadStore maintains roaring bitmap indexes for fast intersection:
  • Subject index → O(1) lookup by URI
  • Predicate index → O(1) lookup by property
  • Object index → O(1) lookup by resource
  • Graph index → O(1) lookup by named graph
Multi-dimensional queries use two-pointer intersection over sorted result sets, keeping complex queries sub-millisecond even at scale.
📚 Documentation
🔬 Building & Testing
# Build
dotnet build -c Release
# Run all tests
dotnet test -c Release --nologo
# Run benchmarks
dotnet run -c Release --project benchmark/TripleStore.Benchmarks/TripleStore.Benchmarks.csproj
💭 Feedback & Contributing
Have ideas? Found a bug? Jump in!
All contributions welcome, from bug reports to performance improvements.
📝 License
MIT — Use freely in commercial and personal projects.
Made with ⚡ for .NET developers who demand performance.
About
A blazingly fast, lightweight RDF database for .NET 10
Topics
databasedotnetquadstorerdfsemantic-webtriplestore
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
⚡ QuadStore
A blazingly fast, lightweight RDF quad store for .NET 10 — minimal dependencies, pure performance.
Build StatusTests Passing.NET VersionLicense
🌟 Why QuadStore?
✨ Sub-microsecond queries — Indexed lookups in <200ns (faster than most in-memory operations)

🎯 Batch load 1M triples in 3.65 seconds — 274K triples/sec throughput

📦 Lightweight — TriG loading without need for external RDF libraries

🔍 SPARQL support — Full graph pattern matching and variable binding

✅ Well tested — 200+ passing tests, W3C TriG compliance
🚀 Quick Start
1) Use QuadStore through dotNetRDF + Leviathan
QuadStore is the core in-memory quad store.
QuadStoreStorageProvider adapts it to the standard dotNetRDF storage interfaces.
That means Leviathan can run SPARQL queries against your QuadStore data.
usingTripleStore.Core;usingVDS.RDF.Query;usingVDS.RDF.Storage;// 1) Define a tiny in-memory TriG document with two FOAF name triples.conststringtrigContent="""@prefix foaf: <http://xmlns.com/foaf/0.1/> .{ <http://example.org/alice> foaf:name "Alice" . <http://example.org/bob> foaf:name "Bob" .}""";// 2) Persist the TriG content to disk so the loader can read it from a file.vardataFilePath=Path.Combine(AppContext.BaseDirectory,"data.trig");File.WriteAllText(dataFilePath,trigContent);// 3) Create/open the QuadStore data directory.varstorePath=Path.Combine(AppContext.BaseDirectory,"store-data");usingvarstore=newQuadStore(storePath);// 4) Load TriG quads directly into QuadStore in a single pass.varloader=newSinglePassTrigLoader(store);loader.LoadFromFile(dataFilePath);// 5) Wrap QuadStore with the dotNetRDF storage adapter so Leviathan can query it.IStorageProviderprovider=newQuadStoreStorageProvider(store);varqueryable=(IQueryableStorage)provider;// 6) Run a SPARQL SELECT query through Leviathan.varquery=@"SELECT ?person ?nameWHERE { ?person <http://xmlns.com/foaf/0.1/name> ?name .}";varresults=(SparqlResultSet)queryable.Query(query);// 7) Print the SPARQL result rows.Console.WriteLine("Leviathan query results:");foreach(varrowinresults){Console.WriteLine($"{row["person"]} -> {row["name"]}");}
2) Minimal ASP.NET endpoint (SPARQL Protocol style)
This example exposes a simple /sparql endpoint that accepts a SPARQL query and returns:
  • SPARQL JSON results for SELECT/ASK
  • Turtle for CONSTRUCT/DESCRIBE
usingTripleStore.Core;usingVDS.RDF;usingVDS.RDF.Query;usingVDS.RDF.Storage;usingVDS.RDF.Writing;vardataDir=args.Length>0?args[0]:"./quadstore-data";varqs=newQuadStore(dataDir);varprovider=newQuadStoreStorageProvider(qs);varqueryable=(IQueryableStorage)provider;// ---------------------------------------------------------------------------// Section B: Seed Data// ---------------------------------------------------------------------------// On first run (empty store), load a small set of FOAF triples so the sample// can be queried immediately without manual data loading.if(!qs.Query().Any()){varseedTriG=""" @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix ex: <http://example.org/> . { ex:alice foaf:name "Alice" ; foaf:knows ex:bob . ex:bob foaf:name "Bob" ; foaf:knows ex:alice . } """;varloader=newSinglePassTrigLoader(qs);loader.LoadFromString(seedTriG);qs.SaveAll();}// ---------------------------------------------------------------------------// Section C: Host Configuration// ---------------------------------------------------------------------------// Build the ASP.NET Core minimal API host and register QuadStore and its// storage provider as singletons so they are available to the request pipeline.varbuilder=WebApplication.CreateBuilder(args);builder.Services.AddSingleton(qs);builder.Services.AddSingleton(provider);builder.Services.AddSingleton<IQueryableStorage>(provider);varapp=builder.Build();app.MapSparqlEndpoints();// ---------------------------------------------------------------------------// Section G: Shutdown// ---------------------------------------------------------------------------// Dispose the QuadStore when the application is stopping to release// memory-mapped file handles cleanly.app.Lifetime.ApplicationStopping.Register(()=>{qs.Dispose();});app.Run();
⚠️ Current Limitations
QuadStore + QuadStoreStorageProvider is intentionally append-only currently:
  • ❌ No graph deletion (DeleteGraph is not supported)
  • ❌ No triple removal in UpdateGraph (additions only)
  • ❌ No SPARQL Update (IUpdateableStorage.Update throws)
  • ℹ️ Per-query in-memory snapshot for Leviathan queries (simple and correct, but can be slower on very large datasets)
📊 Performance at a Glance
Query Performance (Latency)
Operation10K Triples100K Triples1M Triples
Subject lookup<200ns<200ns<200ns
Predicate query36µs536µs4.4ms
Object lookup<200ns<200ns<200ns
Graph filter138µs1.9ms17.6ms
Multiple patterns1.6µs21µs285µs
Full enumeration852µs7.9ms80.3ms
Load Performance (Throughput)
DatasetTimeThroughput
10K triples370ms27K/sec
100K triples299ms335K/sec
1M triples3.65s274K/sec
Benchmarks on Intel Core Ultra 7 265H, .NET 10.0. See detailed benchmark analysis for all metrics.
🛠️ Installation
QuadStore is built for .NET 10.0 and ships as a library. Add it to your project:
# If published to NuGet (coming soon)
dotnet add package QuadStore.Core
For now, clone and reference locally:
git clone https://github.com/aabs/QuadStore.git
# Add project reference in your .csproj:# <ProjectReference Include="path/to/src/TripleStore.Core/TripleStore.Core.csproj" />
Indexing Strategy
QuadStore maintains roaring bitmap indexes for fast intersection:
  • Subject index → O(1) lookup by URI
  • Predicate index → O(1) lookup by property
  • Object index → O(1) lookup by resource
  • Graph index → O(1) lookup by named graph
Multi-dimensional queries use two-pointer intersection over sorted result sets, keeping complex queries sub-millisecond even at scale.
📚 Documentation
🔬 Building & Testing
# Build
dotnet build -c Release
# Run all tests
dotnet test -c Release --nologo
# Run benchmarks
dotnet run -c Release --project benchmark/TripleStore.Benchmarks/TripleStore.Benchmarks.csproj
💭 Feedback & Contributing
Have ideas? Found a bug? Jump in!
All contributions welcome, from bug reports to performance improvements.
📝 License
MIT — Use freely in commercial and personal projects.
Made with ⚡ for .NET developers who demand performance.
About
A blazingly fast, lightweight RDF database for .NET 10
Topics
databasedotnetquadstorerdfsemantic-webtriplestore
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
⚡ QuadStore
A blazingly fast, lightweight RDF quad store for .NET 10 — minimal dependencies, pure performance.
Build StatusTests Passing.NET VersionLicense
🌟 Why QuadStore?
✨ Sub-microsecond queries — Indexed lookups in <200ns (faster than most in-memory operations)

🎯 Batch load 1M triples in 3.65 seconds — 274K triples/sec throughput

📦 Lightweight — TriG loading without need for external RDF libraries

🔍 SPARQL support — Full graph pattern matching and variable binding

✅ Well tested — 200+ passing tests, W3C TriG compliance
🚀 Quick Start
1) Use QuadStore through dotNetRDF + Leviathan
QuadStore is the core in-memory quad store.
QuadStoreStorageProvider adapts it to the standard dotNetRDF storage interfaces.
That means Leviathan can run SPARQL queries against your QuadStore data.
usingTripleStore.Core;usingVDS.RDF.Query;usingVDS.RDF.Storage;// 1) Define a tiny in-memory TriG document with two FOAF name triples.conststringtrigContent="""@prefix foaf: <http://xmlns.com/foaf/0.1/> .{ <http://example.org/alice> foaf:name "Alice" . <http://example.org/bob> foaf:name "Bob" .}""";// 2) Persist the TriG content to disk so the loader can read it from a file.vardataFilePath=Path.Combine(AppContext.BaseDirectory,"data.trig");File.WriteAllText(dataFilePath,trigContent);// 3) Create/open the QuadStore data directory.varstorePath=Path.Combine(AppContext.BaseDirectory,"store-data");usingvarstore=newQuadStore(storePath);// 4) Load TriG quads directly into QuadStore in a single pass.varloader=newSinglePassTrigLoader(store);loader.LoadFromFile(dataFilePath);// 5) Wrap QuadStore with the dotNetRDF storage adapter so Leviathan can query it.IStorageProviderprovider=newQuadStoreStorageProvider(store);varqueryable=(IQueryableStorage)provider;// 6) Run a SPARQL SELECT query through Leviathan.varquery=@"SELECT ?person ?nameWHERE { ?person <http://xmlns.com/foaf/0.1/name> ?name .}";varresults=(SparqlResultSet)queryable.Query(query);// 7) Print the SPARQL result rows.Console.WriteLine("Leviathan query results:");foreach(varrowinresults){Console.WriteLine($"{row["person"]} -> {row["name"]}");}
2) Minimal ASP.NET endpoint (SPARQL Protocol style)
This example exposes a simple /sparql endpoint that accepts a SPARQL query and returns:
  • SPARQL JSON results for SELECT/ASK
  • Turtle for CONSTRUCT/DESCRIBE
usingTripleStore.Core;usingVDS.RDF;usingVDS.RDF.Query;usingVDS.RDF.Storage;usingVDS.RDF.Writing;vardataDir=args.Length>0?args[0]:"./quadstore-data";varqs=newQuadStore(dataDir);varprovider=newQuadStoreStorageProvider(qs);varqueryable=(IQueryableStorage)provider;// ---------------------------------------------------------------------------// Section B: Seed Data// ---------------------------------------------------------------------------// On first run (empty store), load a small set of FOAF triples so the sample// can be queried immediately without manual data loading.if(!qs.Query().Any()){varseedTriG=""" @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix ex: <http://example.org/> . { ex:alice foaf:name "Alice" ; foaf:knows ex:bob . ex:bob foaf:name "Bob" ; foaf:knows ex:alice . } """;varloader=newSinglePassTrigLoader(qs);loader.LoadFromString(seedTriG);qs.SaveAll();}// ---------------------------------------------------------------------------// Section C: Host Configuration// ---------------------------------------------------------------------------// Build the ASP.NET Core minimal API host and register QuadStore and its// storage provider as singletons so they are available to the request pipeline.varbuilder=WebApplication.CreateBuilder(args);builder.Services.AddSingleton(qs);builder.Services.AddSingleton(provider);builder.Services.AddSingleton<IQueryableStorage>(provider);varapp=builder.Build();app.MapSparqlEndpoints();// ---------------------------------------------------------------------------// Section G: Shutdown// ---------------------------------------------------------------------------// Dispose the QuadStore when the application is stopping to release// memory-mapped file handles cleanly.app.Lifetime.ApplicationStopping.Register(()=>{qs.Dispose();});app.Run();
⚠️ Current Limitations
QuadStore + QuadStoreStorageProvider is intentionally append-only currently:
  • ❌ No graph deletion (DeleteGraph is not supported)
  • ❌ No triple removal in UpdateGraph (additions only)
  • ❌ No SPARQL Update (IUpdateableStorage.Update throws)
  • ℹ️ Per-query in-memory snapshot for Leviathan queries (simple and correct, but can be slower on very large datasets)
📊 Performance at a Glance
Query Performance (Latency)
Operation10K Triples100K Triples1M Triples
Subject lookup<200ns<200ns<200ns
Predicate query36µs536µs4.4ms
Object lookup<200ns<200ns<200ns
Graph filter138µs1.9ms17.6ms
Multiple patterns1.6µs21µs285µs
Full enumeration852µs7.9ms80.3ms
Load Performance (Throughput)
DatasetTimeThroughput
10K triples370ms27K/sec
100K triples299ms335K/sec
1M triples3.65s274K/sec
Benchmarks on Intel Core Ultra 7 265H, .NET 10.0. See detailed benchmark analysis for all metrics.
🛠️ Installation
QuadStore is built for .NET 10.0 and ships as a library. Add it to your project:
# If published to NuGet (coming soon)
dotnet add package QuadStore.Core
For now, clone and reference locally:
git clone https://github.com/aabs/QuadStore.git
# Add project reference in your .csproj:# <ProjectReference Include="path/to/src/TripleStore.Core/TripleStore.Core.csproj" />
Indexing Strategy
QuadStore maintains roaring bitmap indexes for fast intersection:
  • Subject index → O(1) lookup by URI
  • Predicate index → O(1) lookup by property
  • Object index → O(1) lookup by resource
  • Graph index → O(1) lookup by named graph
Multi-dimensional queries use two-pointer intersection over sorted result sets, keeping complex queries sub-millisecond even at scale.
📚 Documentation
🔬 Building & Testing
# Build
dotnet build -c Release
# Run all tests
dotnet test -c Release --nologo
# Run benchmarks
dotnet run -c Release --project benchmark/TripleStore.Benchmarks/TripleStore.Benchmarks.csproj
💭 Feedback & Contributing
Have ideas? Found a bug? Jump in!
All contributions welcome, from bug reports to performance improvements.
📝 License
MIT — Use freely in commercial and personal projects.
Made with ⚡ for .NET developers who demand performance.
About
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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⚡ QuadStore
A blazingly fast, lightweight RDF quad store for .NET 10 — minimal dependencies, pure performance.
Build StatusTests Passing.NET VersionLicense
🌟 Why QuadStore?
✨ Sub-microsecond queries — Indexed lookups in <200ns (faster than most in-memory operations)

🎯 Batch load 1M triples in 3.65 seconds — 274K triples/sec throughput

📦 Lightweight — TriG loading without need for external RDF libraries

🔍 SPARQL support — Full graph pattern matching and variable binding

✅ Well tested — 200+ passing tests, W3C TriG compliance
🚀 Quick Start
1) Use QuadStore through dotNetRDF + Leviathan
QuadStore is the core in-memory quad store.
QuadStoreStorageProvider adapts it to the standard dotNetRDF storage interfaces.
That means Leviathan can run SPARQL queries against your QuadStore data.
usingTripleStore.Core;usingVDS.RDF.Query;usingVDS.RDF.Storage;// 1) Define a tiny in-memory TriG document with two FOAF name triples.conststringtrigContent="""@prefix foaf: <http://xmlns.com/foaf/0.1/> .{ <http://example.org/alice> foaf:name "Alice" . <http://example.org/bob> foaf:name "Bob" .}""";// 2) Persist the TriG content to disk so the loader can read it from a file.vardataFilePath=Path.Combine(AppContext.BaseDirectory,"data.trig");File.WriteAllText(dataFilePath,trigContent);// 3) Create/open the QuadStore data directory.varstorePath=Path.Combine(AppContext.BaseDirectory,"store-data");usingvarstore=newQuadStore(storePath);// 4) Load TriG quads directly into QuadStore in a single pass.varloader=newSinglePassTrigLoader(store);loader.LoadFromFile(dataFilePath);// 5) Wrap QuadStore with the dotNetRDF storage adapter so Leviathan can query it.IStorageProviderprovider=newQuadStoreStorageProvider(store);varqueryable=(IQueryableStorage)provider;// 6) Run a SPARQL SELECT query through Leviathan.varquery=@"SELECT ?person ?nameWHERE { ?person <http://xmlns.com/foaf/0.1/name> ?name .}";varresults=(SparqlResultSet)queryable.Query(query);// 7) Print the SPARQL result rows.Console.WriteLine("Leviathan query results:");foreach(varrowinresults){Console.WriteLine($"{row["person"]} -> {row["name"]}");}
2) Minimal ASP.NET endpoint (SPARQL Protocol style)
This example exposes a simple /sparql endpoint that accepts a SPARQL query and returns:
  • SPARQL JSON results for SELECT/ASK
  • Turtle for CONSTRUCT/DESCRIBE
usingTripleStore.Core;usingVDS.RDF;usingVDS.RDF.Query;usingVDS.RDF.Storage;usingVDS.RDF.Writing;vardataDir=args.Length>0?args[0]:"./quadstore-data";varqs=newQuadStore(dataDir);varprovider=newQuadStoreStorageProvider(qs);varqueryable=(IQueryableStorage)provider;// ---------------------------------------------------------------------------// Section B: Seed Data// ---------------------------------------------------------------------------// On first run (empty store), load a small set of FOAF triples so the sample// can be queried immediately without manual data loading.if(!qs.Query().Any()){varseedTriG=""" @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix ex: <http://example.org/> . { ex:alice foaf:name "Alice" ; foaf:knows ex:bob . ex:bob foaf:name "Bob" ; foaf:knows ex:alice . } """;varloader=newSinglePassTrigLoader(qs);loader.LoadFromString(seedTriG);qs.SaveAll();}// ---------------------------------------------------------------------------// Section C: Host Configuration// ---------------------------------------------------------------------------// Build the ASP.NET Core minimal API host and register QuadStore and its// storage provider as singletons so they are available to the request pipeline.varbuilder=WebApplication.CreateBuilder(args);builder.Services.AddSingleton(qs);builder.Services.AddSingleton(provider);builder.Services.AddSingleton<IQueryableStorage>(provider);varapp=builder.Build();app.MapSparqlEndpoints();// ---------------------------------------------------------------------------// Section G: Shutdown// ---------------------------------------------------------------------------// Dispose the QuadStore when the application is stopping to release// memory-mapped file handles cleanly.app.Lifetime.ApplicationStopping.Register(()=>{qs.Dispose();});app.Run();
⚠️ Current Limitations
QuadStore + QuadStoreStorageProvider is intentionally append-only currently:
  • ❌ No graph deletion (DeleteGraph is not supported)
  • ❌ No triple removal in UpdateGraph (additions only)
  • ❌ No SPARQL Update (IUpdateableStorage.Update throws)
  • ℹ️ Per-query in-memory snapshot for Leviathan queries (simple and correct, but can be slower on very large datasets)
📊 Performance at a Glance
Query Performance (Latency)
Operation10K Triples100K Triples1M Triples
Subject lookup<200ns<200ns<200ns
Predicate query36µs536µs4.4ms
Object lookup<200ns<200ns<200ns
Graph filter138µs1.9ms17.6ms
Multiple patterns1.6µs21µs285µs
Full enumeration852µs7.9ms80.3ms
Load Performance (Throughput)
DatasetTimeThroughput
10K triples370ms27K/sec
100K triples299ms335K/sec
1M triples3.65s274K/sec
Benchmarks on Intel Core Ultra 7 265H, .NET 10.0. See detailed benchmark analysis for all metrics.
🛠️ Installation
QuadStore is built for .NET 10.0 and ships as a library. Add it to your project:
# If published to NuGet (coming soon)
dotnet add package QuadStore.Core
For now, clone and reference locally:
git clone https://github.com/aabs/QuadStore.git
# Add project reference in your .csproj:# <ProjectReference Include="path/to/src/TripleStore.Core/TripleStore.Core.csproj" />
Indexing Strategy
QuadStore maintains roaring bitmap indexes for fast intersection:
  • Subject index → O(1) lookup by URI
  • Predicate index → O(1) lookup by property
  • Object index → O(1) lookup by resource
  • Graph index → O(1) lookup by named graph
Multi-dimensional queries use two-pointer intersection over sorted result sets, keeping complex queries sub-millisecond even at scale.
📚 Documentation
🔬 Building & Testing
# Build
dotnet build -c Release
# Run all tests
dotnet test -c Release --nologo
# Run benchmarks
dotnet run -c Release --project benchmark/TripleStore.Benchmarks/TripleStore.Benchmarks.csproj
💭 Feedback & Contributing
Have ideas? Found a bug? Jump in!
All contributions welcome, from bug reports to performance improvements.
📝 License
MIT — Use freely in commercial and personal projects.
Made with ⚡ for .NET developers who demand performance.
About
A blazingly fast, lightweight RDF database for .NET 10
Topics
databasedotnetquadstorerdfsemantic-webtriplestore
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages